Ž—ŠçŠG

Ä“¡ ˜a–€

  • [˜A—æ] §422-8526 Ã‰ªŽsx‰Í‹æ’J“c52”Ô1†
  • Ã‰ªŒ§—§‘åŠw Œo‰cî•ñŠw•” Œo‰cî•ñŠw•”“4306†Žº



ƒ[ƒ~‚Å‚ÌŽå‚ÈŒ€‹†ƒe[ƒ}i—\’èj

  • ƒEƒFƒu‚È‚Ç•¡ŽGƒlƒbƒgƒ[ƒN‚̐¬’·‚âî•ñ“`”d‚ÌŠî–{”—ƒ‚ƒfƒ‹‚̍\’z
  • ‘å‹K–̓f[ƒ^‚â•¡ŽGƒlƒbƒgƒ[ƒN‚̍\‘¢—‰ð‚Ì‚œ‚߂̏î•ñ‰ÂŽ‹‰»
  • Š”‰¿ƒf[ƒ^•Ï“®‚Ì—ÞŽ—“x‚ÉŠî‚­Šé‹ÆŠÔŠÖŒW‚Ȃǂ̃f[ƒ^ƒ}ƒCƒjƒ“ƒO
  • ƒuƒƒOŠÔƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‚Ȃǂ̎Љïƒlƒbƒgƒ[ƒN‚Ì•ªÍ



‹³ˆõ‚Ì—ª—ð

Šw—ð

  • 1985”NŒcœä‹`m‘åŠw —HŠw•” ”—‰ÈŠw‰È ”ŠwêU ‘²‹Æ —ŠwŽm
  • 1998”N“Œ‹ž‘åŠw ”ŽŽm(HŠw)

E—ð

  • 1985”NNTT“üŽÐ ‹@ŠBŠwK ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg •¡ŽGƒlƒbƒgƒ[ƒN‚ÌŒ€‹†‚ɏ]Ž–i2007”N6ŒŽ‚܂Łj
  • 1991”N9ŒŽ‚æ‚è1”NŠÔ ƒJƒiƒ_Ottawa‘åŠw ‹qˆõŒ€‹†ˆõi1992”N8ŒŽ‚܂Łj
  • 1994”NNTTƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‰ÈŠwŒ€‹†Š Žå”CŒ€‹†ˆõi1997”N2ŒŽ‚܂Łj
  • 1997”NNTTŒ€‹†ŠJ”­–{•” Œ€‹†„i•”–å Ž–‹ÆŒv‰æ’S“–‰Û’·i1999”N1ŒŽ‚܂Łj
  • 1999”NNTTƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‰ÈŠwŠî‘bŒ€‹†Š ’m”\î•ñŒ€‹†•” Žå”CŒ€‹†ˆõi2000”N3ŒŽ‚܂Łj
  • 2000”NNTTƒRƒ~ƒ…ƒjƒP[ƒVƒ‡ƒ“‰ÈŠwŠî‘bŒ€‹†Š ’m”\î•ñŒ€‹†•” Žå”CŒ€‹†ˆõ “Á•ÊŒ€‹†ˆõi2007”N6ŒŽ‚܂Łj
  • 2003”N–ŒŒÃ‰®H‹Æ‘åŠw‘åŠw‰@ HŠwŒ€‹†‰È î•ñHŠwêU ”ñí‹ÎuŽti2006”N3ŒŽ‚Ü‚Å)
  • 2003”N“ŒŠC‘åŠw î•ñ—HŠw•” î•ñ‰ÈŠw‰È ”ñí‹ÎuŽti2007”N3ŒŽ‚Ü‚Å)
  • 2005”N“ޗǐæ’[‰ÈŠw‹Zp‘åŠw‰@‘åŠw î•ñ‰ÈŠwŒ€‹†‰È ˜AŒguÀ‹qˆõy‹³Žöi2007”N6ŒŽ‚Ü‚Å)
  • 2007”N7ŒŽ‚æ‚蠐ɪŒ§—§‘åŠw Œo‰cî•ñŠw•” ‹³Žö

ŽóÜ—ð

  • 2016”NThe 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI2016), Best Research Paper (Runner-up) "Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability, "
  • 2016”NlH’m”\Šw‰ï (SIG-KBS106) Œ€‹†‰ï—DGÜ"ƒAƒNƒeƒBƒrƒeƒB•]‰¿î•ñ‚Æ NMF ‚Ì—Z‡‚É‚æ‚éƒ\[ƒVƒƒƒ‹ƒƒfƒBƒA‚̐M—ŠƒŠƒ“ƒN—\‘ª"
  • 2015”Nƒ}ƒ‹ƒ`ƒƒfƒBƒAC•ªŽUC‹Š’²‚ƃ‚ƒoƒCƒ‹ƒVƒ“ƒ|ƒWƒEƒ€iDICOMO2015j—DG˜_•¶Ü"ŠÏŒõs“®ƒ‚ƒfƒŠƒ“ƒO‚Ì‚œ‚߂̃vƒ[ƒuƒp[ƒ\ƒ“ƒf[ƒ^‚ƈʒuî•ñ•t‚«SNS‚©‚ç“Ÿ‚ç‚ê‚œPOI‚Ì”äŠr"
  • 2015”NÃ‰ªŒ§—§‘åŠwŠw’·•\², "2013”N“xi•œ¬25”N“xj‹³ˆõŠˆ“®•]‰¿‚É‚š‚¯‚é‹ÆÑ—DGŽÒ‚Ö‚ÌŠw’·•\² "
  • 2014”NThe 2014 International Conference on Data Science and Advanced Analytics (DSAAf2014), Best Research Paper "Efficient Analysis of Node Influence Based on SIR Model over Huge Complex Networks"
  • 2013”NlH’m”\Šw‰ï (SIG-KBS100) Œ€‹†‰ï—DGÜ"ƒm[ƒh‹@”\‚©‚ç‚̃lƒbƒgƒ[ƒN\‘¢„’è"
  • 2013”NWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2013) ƒTƒCƒo[ƒG[ƒWƒFƒ“ƒgÜ"ƒŒƒrƒ…[•]“_ŽžŒn—ñƒf[ƒ^‚̕ω»“_‚ÉŠî‚­ƒAƒCƒeƒ€‚ƃ†[ƒU‚Ì•ªÍ"
  • 2012”N‘æ9‰ñƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€ (9th NetECOSYMP) ƒ|ƒXƒ^[—DGÜ"“¹˜Hƒlƒbƒgƒ[ƒN‚Å‚Ì‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo‚É‚æ‚é’nˆæ“Á«•ªÍ"
  • 2012”NWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2012) ƒŠƒNƒ‹[ƒgƒeƒNƒmƒƒW[ƒYÜ"ƒIƒ“ƒ‰ƒCƒ“ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚郌ƒrƒ…[•Ï‰»“_ŒŸo–@"
  • 2012”NWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2012) —DG˜_•¶ÜCƒ~ƒNƒVƒBÜ"ŒÂX‚̃m[ƒh‚ÌŽ‹“_‚ÉŠî‚­‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@"
  • 2011”N“ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï2010”N“x˜_•¶Ü, "ƒlƒbƒgƒ[ƒN‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@"
  • 2011”NWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2011) —DG˜_•¶ÜCƒlƒNƒXƒgÜ, "ƒlƒbƒgƒ[ƒN‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚Ì’ñˆÄ"
  • 2010”N“ú–{‰ž—p”—Šw‰ï2009”N“x˜_•¶Ü, "PMMŒ^Žå¬•ª•ªÍ‚ð—p‚¢‚œ•¶‘ƒXƒgƒŠ[ƒ€‚ÌŽå—vöÝƒgƒsƒbƒN’Šo"
  • 2009”N“ú–{ƒ\ƒtƒgƒEƒFƒA‰ÈŠw‰ï‘æ‚P‚R‰ñ˜_•¶Ü (2008”N“x)˜_•¶Ü, "lŠÔŠÖŒW‚̏d‚È‚è‚ðŽ‚ÂƒRƒ~ƒ…ƒjƒeƒB\‘¢‚Ì’Šo"
  • 2009”Nî•ñŽÐ‰ïŠw‰ï ‘æ2‰ñ’mŽ¯‹€—LƒRƒ~ƒ…ƒjƒeƒBƒ[ƒNƒVƒ‡ƒbƒv —DGÜ, "Ž¿–â‰ñ“šƒTƒCƒg‚É‚š‚¯‚éQARank ‚ð—p‚¢‚œƒ†[ƒUvŒ£“x‚̐„’è"
  • 2009”NWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2009) ƒAƒJƒfƒ~ƒbƒNEƒŠƒ\[ƒXEƒKƒCƒhÜ, "Ž¿–â‰ñ“šƒTƒCƒg‚É‚š‚¯‚é“ŠeŽí•Ê‚É’–Ú‚µ‚œƒRƒ~ƒ…ƒjƒeƒB•ªÍŽè–@"
  • 2008”N“dŽqî•ñ’ʐMŠw‰ï î•ñEƒVƒXƒeƒ€ƒ\ƒTƒCƒGƒeƒBŠˆ“®Œ÷˜JÜ, "˜a•¶˜_•¶Ž•ÒWˆÏˆõEž“Ljψõ‚Æ‚µ‚Ă̍vŒ£"
  • 2008”NIEEE 8th International Conference on Computer & Information Technology (CIT2008), Best Paper Award, "Sequence-based SOM: Visualizing Transition of Dynamic Clusters "
  • 2005”NFIT ˜_•¶Ü, "¶¬EŽ¯•ÊƒnƒCƒuƒŠƒbƒhƒ‚ƒfƒ‹‚ÉŠî‚­”Œ‹³Žt‚ ‚èŠwK"
  • 2004”NFIT ‘DˆäƒxƒXƒgƒy[ƒp[Ü, "Ž–ŒãŠm—Š\‘¢‚̉Ž‹‰»"
  • 1999”NlH’m”\Šw‰ï1998”N“x˜_•¶Ü, "MDLŒŽ—‚ÉŠî‚­V³‘¥‰»–@"
  • 1997”Nî•ñˆ—Šw‰ï1996”N“xi•œ¬8”N“xj˜_•¶Ü, "ƒRƒlƒNƒVƒ‡ƒjƒXƒgƒAƒvƒ[ƒ`‚É‚æ‚鐔–@‘¥‚Ì”­Œ©"

Š‘®Šw‰ï

  • î•ñˆ—Šw‰ï1985.4--
  • lH’m”\Šw‰ï1986.4--
  • “ú–{_Œo‰ñ˜HŠw‰ï1990.4--
  • “dŽqî•ñ’ʐMŠw‰ï1996.4--
  • “ú–{‰ž—p”—Šw‰ï2009.8--
  • “ú–{s“®Œv—ÊŠw‰ï2011.9--
  • “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï2011.12--
  • ŠÏŒõî•ñŠw‰ï 2015.4--

ê–å“IŠˆ“®

Šw‰ïŠˆ“®

  • î•ñˆ—Šw‰ï"˜_•¶ŽTOD•ÒWˆÏˆõ"2013-2017.
  • “ú–{_Œo‰ñ˜HŠw‰ï"—Ž–"2008-2012.
  • lH’m”\Šw‰ï"•]‹cˆõ"2007-2010.
  • “dŽqî•ñ’ʐMŠw‰ï"˜_•¶ŽDII"•ÒWˆÏˆõ"2003-2007.
  • lH’m”\Šw‰ï"•ÒWˆÏˆõ"2000-2004.
  • “dŽqî•ñ’ʐMŠw‰ï"˜_•¶ŽDIIž“Ljψõ"1999-.

‘Û‰ï‹cƒvƒƒOƒ‰ƒ€ˆÏˆõ‚Ù‚©

  • 20th International Conference on Discovery Science (DS2017)
  • 19th International Conference on Discovery Science (DS2016)
  • 2016 Pacific Rim Knowledge Acquisition Workshop (PKAW2016)
  • 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI2016)
  • 2016 ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ï(JWEIN'16)
  • 2015 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2015)
  • 2015 ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ï(JWEIN'15)
  • 2014 Pacific Rim Knowledge Acquisition Workshop (PKAW2014)
  • 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014)
  • 17th International Conference on Discovery Science (DS2014)
  • 2014 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2014)
  • 2014 ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ï(JWEIN'14)
  • 2013 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2013)
  • 2013 ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ï(JWEIN'13)
  • 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI2012)
  • International Workshop on Mining Social Network Dynamics (MSND2012)
  • 2012 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2012)
  • 2012 ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ï(JWEIN'12)
  • 2012 ‘æ3‰ñƒ\[ƒVƒƒƒ‹ƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€ (SOC2012)
  • 2011 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP2011)
  • 2011 ‘æ2‰ñƒ\[ƒVƒƒƒ‹ƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€(SOC2011)
  • The 3rd IEEE/ACM International Conference on Cyber, Physical and Social Computing (CPSCom2010)
  • 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010)
  • 2009 SIAM International Conference on Data Mining (SDM2009)
  • Second International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP2009)
  • Tenth Pacific Rim International Conference on Artificial Intelligence (PRICAI2008)
  • Twelfth International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2008)
  • 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2007)
  • International Joint Conference on Neural Networks (IJCNN2007)
  • 10th International Conference on Discovery Science (DS2007)

µ‘ҍu‰‰

  • "ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̏î•ñŠgŽUƒ‚ƒfƒ‹‚Ɛ„’è‹Z–@", “ú–{s“®Œv—ÊŠw‰ï‘æ45‰ñ‘å‰ïƒ`ƒ…[ƒgƒŠƒAƒ‹ƒZƒ~ƒi[, •œ¬29”N8ŒŽ29“ú.
  • "‘å‹K–̓lƒbƒgƒ[ƒN‚Å‚Ì’†S«ŒvŽZ‚Ɖe‹¿Å‘剻", ‘æ13‰ñƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€, •œ¬28”N8ŒŽ22“ú.
  • "HighwayƒrƒbƒOƒf[ƒ^ ‚©‚猩‚Š‚邱‚Æ-ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒN•ªÍƒAƒvƒ[ƒ`-", State of the Map Japan 2015, •lŒƒAƒNƒgƒVƒeƒB, •œ¬27”N10ŒŽ31“ú.
  • "ƒrƒbƒOƒf[ƒ^‚Ì—˜Šˆ—p‚ɂ‚¢‚Ä-ƒ\[ƒVƒƒƒ‹ƒƒfƒBƒA-", ƒrƒbƒOƒf[ƒ^‚Ì—˜Šˆ—p‚ÉŠÖ‚·‚éuK‰ï, Ã‰ªŒ§’¡, •œ¬27”N9ŒŽ16“ú.
  • "ICT‹Zp‚É‚æ‚éÃ‰ªŒ§ŠÏŒõEŽY‹ÆŠˆ«‰»‚ÉŠÖ‚·‚é˜AŒgŒ€‹†", ƒT[ƒrƒX‰ÈŠw‚ð‘ñ‚­”—ƒ‚ƒfƒ‹‚ƃAƒ‹ƒSƒŠƒYƒ€(IPSƒVƒ“ƒ|ƒWƒEƒ€2014), ‘åã‘åŠw, •œ¬26”N12ŒŽ12“ú.
  • "ƒ\[ƒVƒƒƒ‹ƒƒfƒBƒAƒ}ƒCƒjƒ“ƒO‚Æ–hÐEŒžÐ‚ւ̉ž—p", ‘æ‚S‰ñ ’nˆæ–hÐî•ñƒVƒ“ƒ|ƒWƒEƒ€, Ã‰ªŒ§—§‘åŠw, •œ¬25”N10ŒŽ4“ú.
  • "ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̏î•ñŠgŽUƒ‚ƒfƒ‹", ‘æ‚S‰ñw‘å‹K–͏î•ñƒRƒ“ƒeƒ“ƒcŽž‘ã‚̍‚“xICTlÞˆç¬Ž–‹Æi‘åƒRƒ“jxƒZƒ~ƒi[, ’}”g‘åŠw‘æ3ƒGƒŠƒA, •œ¬24”N10ŒŽ19“ú.
  • gƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̏î•ñŠgŽUEˆÓŒ©Œ`¬ƒ‚ƒfƒ‹", ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒN‚̍\‘¢‚ƃ_ƒCƒiƒ~ƒNƒX`ƒqƒg‚̎Љ“®‚Ì—‰ð—\‘ª‚ÉŒü‚¯‚Ä, ‹ãB‘åŠwƒ}ƒXEƒtƒHƒAEƒCƒ“ƒ_ƒXƒgƒŠŒ€‹†Š, •œ¬24”N2ŒŽ6“ú.
  • "Learning to predict social influence in complex networksh, Computational Aspects of Social and Information Networks (CASIN2011), Beijing, China, July 20-22, 2011.
  • "ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̏î•ñŠgŽUEˆÓŒ©Œ`¬ƒ‚ƒfƒ‹", ‘æ2‰ñƒ\[ƒVƒƒƒ‹ƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€iSOC2011j, ÂŽRŠw‰@ƒAƒXƒ^ƒWƒI, •œ¬23”N6ŒŽ18“ú.



Œ€‹†“à—e

’˜‘

ƒWƒƒ[ƒiƒ‹˜_•¶

  1. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda, "Which is More Inuential, "Who" or "When" for a User to Rate in Online Review Site?," Intelligent Data Analysis - An International Journal, Vol. 22, No.3, pp., May 2018. to appear
  2. ŽRŠÝ—SŒÈ, Šâú±Ž“l, Ä“¡ ˜a–€, "‘œŒQoŒ»‡ˆÊ“Œv—Ê‚ÉŠî‚­ŽžŒn—ñƒf[ƒ^‚Ì•ÏŠ·," î•ñˆ—Šw‰ï˜_•¶Ž, ”—ƒ‚ƒfƒ‹‰»‚Ɖž—p (Ì˜^Œˆ’è).
  3. Yuki Yamagishi, Kazumi Saito, Tetsuo Ikeda, and Kazuo Aoyama, "Pivot Generation Algorithm with a Complete Binary Tree for Efficient Exact Similarity Search," IEICE Transactions, Vol.E101-D, No.1, pp., Jan. 2018. to appear
  4. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€C" ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚é‘œ€•ª•z‚ÉŠî‚­ƒŒƒW[ƒ€ƒXƒCƒbƒ`ƒ“ƒOŒŸoŽè–@‚ƉŽ‹‰»‚ւ̉ž—pC" î•ñˆ—Šw‰ï˜_•¶Žƒf[ƒ^ƒx[ƒXiTODj, Vol.10, No.3, pp.58-67, 2017.
  5. Yuki Yamagishi, Kazumi Saito, Tetsuo Ikeda, and Kazuo Aoyama, "Efficient Similarity Search with a Pivot-Based Complete Binary Tree," IEICE Transactions, Vol.E100-D, No.10, pp.2526--2536, Oct. 2017.
  6. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, and Kazuhiro Kazama, "Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks," Journal of Information Processing, Special Issue of Network ScienceCVol.25Cpp. 398--406CJun. 2017.
  7. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒlƒbƒgƒ[ƒNã‚Å‚Ì“Á’¥—Ê•ª•z‚ðl—¶‚µ‚œƒAƒmƒe[ƒVƒ‡ƒ“•t—^–@C" î•ñˆ—Šw‰ï˜_•¶Ž ƒlƒbƒgƒ[ƒN‰ÈŠw“ÁW†CVol.58CNo.6Cpp.1246--1257CJun. 2017.
  8. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒƒgƒŠƒbƒN‹óŠÔ‚É‚š‚¯‚é•¡”ƒJƒeƒSƒŠ‚É‘®‚·‚éƒnƒCƒuƒŠƒbƒhƒIƒuƒWƒFƒNƒg’Šo–@‚Ì’ñˆÄC" î•ñˆ—Šw‰ï˜_•¶Ž ƒlƒbƒgƒ[ƒN‰ÈŠw“ÁW†CVol.58CNo.6Cpp.1258--1267CJun. 2017.
  9. ’J ’ŒŽ÷, •—ŠÔ ˆê—m, å „Žj, ‹g“c Œõ’j, Ä“¡ ˜a–€C"ƒWƒIƒ^ƒO•t‚«ƒcƒC[ƒg‚ð—p‚¢‚œŒð’ʘH‚Ì’Šo–@C" î•ñˆ—Šw‰ï˜_•¶Ž ƒf[ƒ^ƒx[ƒX(TOD74), Vol.10, No.2, pp. 31--41, 2017.
  10. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€C" ŠÏŒõƒŒƒrƒ…[ƒf[ƒ^‚©‚ç\’z‚µ‚œŠm—Šƒlƒbƒgƒ[ƒN‚É‚æ‚é’nˆæ•ªÍC" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜a•¶˜_•¶Ž Vol.15-J, Article No.2, 2017.
  11. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda, "Speeding-up Node Influence Computation for Huge Social Networks," International Journal of Data Science and Analytics, Vol.1, Iss.1, pp.3-16, 2016.
  12. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "A new centrality measure of node importance for information diffusion over social network," Information Sciences, Vol.329, pp.985--1000, Feb. 2016.
  13. ‰Á“¡ ãĎq, Ä“¡ ˜a–€,•—ŠÔ ˆê—mC²“¡ “NŽiC" ‘œd—LŒüƒOƒ‰ƒt‚̃RƒA•”’Šo‚Ì‚œ‚ß‚ÌMDSR–@‚Ì’ñˆÄ‚Æ•]‰¿C" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.14 , No.1 , Article No. 1, 2015.
  14. ”ª“c Œ\“l, ŒF–ì ‰ëm, –Ø‘º ¹O, Ä“¡ ˜a–€, ‘匎 „ŽO, Œ³“c _, "ƒ\[ƒVƒƒƒ‹ƒƒfƒBƒA‚ł̐M—Šƒlƒbƒgƒ[ƒNi‰»‚É‚š‚¯‚é”}‰îŽÒƒAƒNƒeƒBƒrƒeƒBŒø‰Ê‚Ì•ªÍ–@," î•ñˆ—Šw‰ï˜_•¶Ž, ”—ƒ‚ƒfƒ‹‰»‚Ɖž—p, Vol.8, No.2, pp.44--56, Jul.2015.
  15. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡L–ŸC’r“c“N•vC•—ŠÔ ˆê—mC"ŽÀ‹——£‚ðl—¶‚µ‚œ’†S«Žw•W‚Ì’ñˆÄ‚Əd—vŠÏŒõƒXƒ|ƒbƒg’Šo‚ւ̉ž—pC" lH’m”\Šw‰ï˜_•¶ŽCVol.30CNo.6Cpp.703--712COct. 2015.
  16. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda, "Change Point Detection for Burst Analysis from an Observed Information Diffusion Sequence of Tweets," Journal of Intelligent Information Systems (JIIS), Vol.44, Iss.2, pp 243-269, Apr.2015.
  17. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒm[ƒh‘®«î•ñ‚©‚ç‚̃Šƒ“ƒN‘¶ÝŠm—Š‚̐„’èC" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜a•¶˜_•¶ŽCVol.13CNo.2Cpp.32--37CFeb. 2015.
  18. •šŒ© ‘싱CÄ“¡ ˜a–€C‹œŒÃ _“¹C"ZƒXƒRƒA‚ð—p‚¢‚œŠK‘w«‚ð—L‚·‚éƒJƒeƒSƒŠŠÔŠÖŒW‚ÌŒø‰Ê“I‰ÂŽ‹‰»–@C" î•ñˆ—Šw‰ï˜_•¶ŽCƒf[ƒ^ƒx[ƒXCVol.7CNo.2Cpp.93--103CSep. 2014.
  19. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, •“¡ L–ŸC" •]“_ŽžŒn—ñƒf[ƒ^‚Ì‹æŠÔ•ªŠ„–@C" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.12 , No.3 , pp.1--6, Feb.2014.
  20. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"ƒm[ƒh‚Ì’–Ú“x‚ÉŠî‚­‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@C" î•ñˆ—Šw‰ï˜_•¶ŽCƒf[ƒ^ƒx[ƒXCVol.6CNo.4Cpp.104--112CSep. 2013.
  21. ¬o –ŸO, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, ’¹ŠC •s“ñ•vC"ƒlƒbƒgƒ[ƒN•ªÍ‚É‚æ‚éTwitterƒ†[ƒU‚̃tƒHƒ[Œ`¬‚ÉŠÖ‚·‚éˆêlŽ@C" î•ñˆ—Šw‰ï˜_•¶Ž,”—ƒ‚ƒfƒ‹‰»‚Ɖž—p-ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\˜_•¶“ÁW-, Vol.6 , No.2 , pp.164--173, Aug 2013.
  22. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"ƒŠƒ“ƒN‚ÌŒü‚«‚É’…–Ú‚µ‚œ‹@”\ƒRƒ~ƒ…ƒjƒeƒB‚ƃ‚ƒ`[ƒt‚ÌŠÖŒW•ªÍC" î•ñˆ—Šw‰ï˜_•¶Ž,”—ƒ‚ƒfƒ‹‰»‚Ɖž—p-ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\˜_•¶“ÁW-, Vol.6 , No.2 , pp.137--146, Aug 2013.
  23. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Detecting Changes in Information Diffusion Pattern over Social Network," ACM Transactions on Intelligent Systems and Technology (TIST), Vol.4, Issue 3, Article No. 55, Jun.2013.
  24. •“¡ L–Ÿ, Ä“¡ ˜a–€, ‘å‹v•Û œ–ç, ’r“c “N•vC" —•àƒ‚ƒfƒ‹‚ÉŠî‚­Ž{Ý”z’u–â‘èC" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.12 , No.1 , pp.1--6, Jun.2013.
  25. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•“¡ L–ŸC"ƒm[ƒhŒQ‚Ì‹Š’²“IU•‘‚¢‚É’…–Ú‚µ‚œW‡”}‰î’†S«‚Ì’ñˆÄ‚Ɖž—pC" “dŽqî•ñ’ʐMŠw‰ï˜_•¶Ž, Vol.J96-D , No.5 , pp.1158--1165, May.2013
  26. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Learning Asynchronous-Time Information Diffusion Models and Its Application to Behavioral Data Analysis over Social Networks," Journal of Computer Engineering and Informatics (JCEI), Vol.1 Iss.2, pp.30--57, Apr.2013.
  27. ŽO’ÃŽR ‰ë‹K, Ä“¡ ˜a–€, ’r“c “N•v, ‘å‹v•Û œ–ç, •“¡ L–ŸC" —ÞŽ—ŒŸõ‚É‚š‚¯‚é’€ŽŸ“ü‚ê‘Ö‚Š‚É‚æ‚éƒsƒ{ƒbƒg‰ü‘P‘I‘ð–@C" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.11 , No.3 , pp.9--14, Feb.2013.
  28. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"ˆÙ‚Ȃ鎋“_‚©‚ç‚̃m[ƒh‹@”\‚ÉŠî‚­ƒRƒ~ƒ…ƒjƒeƒB’Šo–@C" “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.11 , No.3 , pp.27--32, Feb.2013.
  29. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda, "Learning to predict opinion share and detect anti-majority opinionists in social networks," Journal of Intelligent Information Systems (JIIS), Vol.41, Issue 1, pp 5-37, (DOI 10.1007/s10844-012-0222-7), 2013.
  30. ¬o –ŸO, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, ’¹ŠC •s“ñ•v, "ƒRƒŠƒ“ƒN\‘¢‚É’…–Ú‚µ‚œ‘œdƒOƒ‰ƒt‚Ì“Á«•ªÍ," “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.11, No.2, pp. 13--18, 2012.
  31. ‘匎 „ŽO, Ä“¡ ˜a–€, –Ø‘º ¹O, Œ³“c _, "î•ñŠgŽUƒ‚ƒfƒ‹‚ÉŠî‚­ƒcƒB[ƒgŒn—ñ‚©‚ç‚̃o[ƒXƒgŠúŠÔŒŸo," “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.11, No.2, pp. 25--30, 2012.
  32. •šŒ© ‘싱, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "‹@”\«‚ÉŠî‚­ƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚Ì”äŠr, " î•ñˆ—Šw‰ï˜_•¶Ž ƒf[ƒ^ƒx[ƒX(TOD), Vol.5, No.3 , pp.26--35, 2012.
  33. •šŒ© ‘싱, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "ƒlƒbƒgƒ[ƒN‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@," “ú–{ƒf[ƒ^ƒx[ƒXŠw‰ï˜_•¶Ž, Vol.10, No.3, pp.13--18, 2012.
  34. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Efficient Discovery of Influential Nodes for SIS Models in SocialNetworks," Knowledge and Information Systems, An International Journal, Vol.30 Issue 3, pp. 613-635, 2012.
  35. ‹gì —F–ç, Ä“¡ ˜a–€, Œ³“c _, ‘匎 „ŽO, –Ø‘º ¹O, "î•ñŠgŽUƒ‚ƒfƒ‹‚ÉŠî‚­ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̃m[ƒh‚ÌŠú‘Ò‰e‹¿“x‹Èü„’è–@," “dŽqî•ñ’ʐMŠw‰ï˜_•¶Ž, Vol.J94, No.11, pp.1899-1908, 2011.
  36. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda, "Learning Information Diffusion Model in a Social Network for Predicting Influence of Nodes," Intelligent Data Analysis - An International Journal, Vol.15, pp.633--652, 2011.
  37. •“¡ L–Ÿ, Ä“¡ ˜a–€, ’r“c “N•v, ‰i“c ‘å, •šŒ© ‘싱, "”ñüŒ`Ž{Ý”z’u–â‘è‚É‚š‚¯‚éæ×~–@‚Ì’x‰„•]‰¿‚É‚æ‚鍂‘¬‰»-•¡”Ž{Ý‚ªŠm—Š“I‚ɍvŒ£‚·‚éê‡-," î•ñˆ—Šw‰ï˜_•¶Ž, ”—ƒ‚ƒfƒ‹‰»‚Ɖž—p, Vol.4, No.1, pp.1-10, 2011.
  38. ²“¡ OŽ÷, “‡“c —@, •šŒ© ‘싱, •ŸŒŽ ’mG, Ä“¡ ˜a–€, ²“¡ “NŽi, "Ž¿–â‰ñ“šƒTƒCƒg‚É‚š‚¯‚éQARank‚ð—p‚¢‚œƒ†[ƒUvŒ£“x‚̐„’è–@," î•ñŽÐ‰ïŠw‰ïŽ, Vol.4, No.2, pp.5--13, 2010. PDF
  39. –Ø‘º ¹O, Ä“¡ ˜a–€, ’†–ì —Ç•œ, Œ³“c _, "ŽÐ‰ïƒlƒbƒgƒ[ƒN‚É‚š‚¯‚é—L—̓m[ƒh’Šo‚Ì‚œ‚߂̏î•ñŠgŽUƒ‚ƒfƒ‹‚ÌŠwK," lH’m”\Šw‰ï˜_•¶Ž, Vol.25, No.1, pp.215--223, 2010. PDF
  40. Ä“¡ ˜a–€, •“¡ L–Ÿ, ’r“c “N•v, “üŒŽ ‘ì–ç, ‰i“c ‘å, ˆÉ“¡ ‚©‚ÌŽq, "’x‰„•]‰¿“±“ü‚É‚æ‚é‹ÇŠ‰ü‘PƒNƒ‰ƒXƒ^ƒŠƒ“ƒO–@‚̍‚‘¬‰»," î•ñˆ—Šw‰ï˜_•¶Ž, ”—ƒ‚ƒfƒ‹‰»‚Ɖž—p, Vol.3, No.1, pp.62--72, 2010.
  41. Masahiro Kimura, Kazumi Saito, Ryohei Nakano, and Hiroshi Motoda, "Extracting Influential Nodes on a Social Network for Information Diffusion," Data Mining and Knowledge Discovery, Vol.20, No.1Cpp.70--97, 2010. PDF
  42. ÂŽR ˆê¶, Ä“¡ ˜a–€, ŽR“c •Žm, ã“c CŒ÷, "ƒOƒ‰ƒtõˆø\‘¢‚ð—p‚¢‚œ‚‘¬—ÞŽ—’Tõ," “dŽqî•ñ’ʐMŠw‰ï˜_•¶Ž, Vol.J92D, No.9, pp.1543-1554, 2009.
  43. –Ø‘º Šw, Ä“¡ ˜a–€, ã“c CŒ÷, "Œø—Š“I‚È—ÞŽ—ŒŸõ‚Ì‚œ‚߂̃sƒ{ƒbƒgŠwK–@," î•ñˆ—Šw‰ï˜_•¶Ž, Vol.50CNo.8Cpp.1883-1891, 2009.
  44. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Blocking Links to Minimize Contamination Spread in a Social Network," ACM Transactions on Knowledge Discovery from Data, Vol.3CNo.2, Article 9Cpp.1--23, 2009. PDF
  45. Kazumi Saito, Takeshi Yamada and Kazuhiro Kazama, "Extracting Communities from Complex Networks by the k-dense method," IEICE Transactions, Vol.E91-A, No.11, pp.3304--3311, 2008.
  46. –Ø‘º ¹O, Ä“¡ ˜a–€, "PMMŒ^Žå¬•ª•ªÍ‚ð—p‚¢‚œ•¶‘ƒXƒgƒŠ[ƒ€‚ÌŽå—vöÝƒgƒsƒbƒN’Šo," ‰ž—p”—Šw‰ï˜_•¶Ž, Vol.18CNo.3Cpp.363--388C2008. PDF
  47. •Ÿˆä Œ’ˆê, Ä“¡ ˜a–€, –Ø‘º ¹O, À”ö ³s, "Ž©ŒÈ‘gD‰»ƒlƒbƒgƒ[ƒN‚É‚æ‚é“®“IƒNƒ‰ƒXƒ^‚̉Ž‹‰»•ÒŽ[," lH’m”\Šw‰ï˜_•¶Ž, Vol.23, No.5, pp.319--329, 2008. PDF
  48. ’I‹Ž —T•ã, ’†–ì —Ç•œ, Ä“¡ ˜a–€, "4‘wƒp[ƒZƒvƒgƒƒ“‚ð—p‚¢‚œŽ¿“IðŒ•t‚«d‰ñ‹A," “dŽqî•ñ’ʐMŠw‰ï˜_•¶Ž, Vol.J91D, No.8, pp.2166--2176, 2008.
  49. Tomoharu Iwata, Kazumi Saito and Takeshi Yamada, "Recommendation Method for Improving Customer Lifetime Value," IEEE Transactions on Knowledge and Data Engineering, Vol.20CNo.9Cpp.1254--1263C2008. PDF
  50. –Ø‘º ¹O, Ä“¡ ˜a–€, ’†–ì —Ç•œ, "ŽÐ‰ïƒlƒbƒgƒ[ƒNã‚̏î•ñ“`”d‚É‚š‚¯‚é‹­‰e‹¿—̓m[ƒh’Šo‚ÌŒø—Š‰»," “dŽqî•ñ’ʐMŠw‰ï˜_•¶Ž, Vol.J91D, No.4, pp.1004--1015, 2008. PDF
  51. Akinori Fujino, Naonori Ueda, and Kazumi Saito, "Semi-supervised learning for a hybrid generative/discriminative classifier based on the maximum entropy principle," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.30, No.3, pp.424--437, 2008.

‘Û‰ï‹c˜_•¶

  1. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, and Kazuhiro Kazama, "Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning, " Proc. of the 6th International Conference on Complex Networks and Their Applications(ComplexNetwork2017), pp.1210 -- 1222, 2017.
  2. Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda, "Discovering Cooperative Structure among Online Items for Attention Dynamics, " Proc. of the 2017 IEEE International Conference on Data Mining Workshops (ICDM2017Workshops), pp.1034-1041, 2017.
  3. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Maximizing Network Performance based on Group Centrality by Creating Most Effective k-links, " Proc. of the 4th IEEE International Conference on Data Science and Advanced Analytics(DSAA2017), pp.--, 2017. to appear.
  4. Yuki Yamagishi, Kazumi Saito, "Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites," Proc. of the 23th International Symposium on Methodologies for Intelligent Systems (ISMIS2017), pp. 385--395, 2017.
  5. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda, "An Accurate and Efficient method to Detect Critical Links to Maintain Information Flow in Network," Proc. of the 23th International Symposium on Methodologies for Intelligent Systems (ISMIS2017), pp. 116--126, 2017.
  6. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, and Kazuhiro Kazama, "Accelerating Greedy K-medoids Clustering Algorithm with L1 Distance by Pivot Generation," Proc. of the 23th International Symposium on Methodologies for Intelligent Systems (ISMIS2017), pp. 87--96, 2017.
  7. Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama. and Noriko Kando, "Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights, " Proc. of the 8th International Conference on Social Informatics (SocInfo2016), pp. 40-54, 2016.
  8. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Accelerating computation of distance based centrality measures for spatial networks, " Proc. of the Nineteenth Internatioanal Conference on Discovery Science(DS2016), pp. 376-391, 2016.
  9. Yuki Yamagishi, Kazumi Saito, Tetsuo Ikeda, "Modeling of Travel Behavior Processes from Social Media, " Proc. of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI2016), pp. 626-637, 2016.
  10. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, "Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability, " Proc. of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI2016), pp.419-432, 2016.
  11. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, and Kazuhiro Kazama, "Extracting and Characterizing Functional Communities in Spatial Networks, " Proc. of the Workshop on Artificial Intelligence for Tourism (AI4Tourism2016), pp.182-193, 2016.
  12. Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, and Kazuhiro Kazama, "Functional Cluster Extraction from Large Spatial Networks, " Proc. of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2016), pp.57-62, 2016.
  13. Takashi Hattori, Kazuo Aoyama, Kazumi Saito, Tetsuo Ikeda and Eri Kobayashi, "Pivot-based k-means Algorithm for Numerous-class Data Sets," Proc. of the International Conference on Data Mining (SDM2016), pp. 333-341, 2016.
  14. Arief Maulana, Kazumi Saito, Tetsuo Ikeda, Hiroaki Yuze, Takayuki Watanabe, Seiya Okubo and Nobuaki Muto, "Analyzing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns," Proc. of the 30th IEEE International Conference on Advanced Information Networking and Applications (AINA2016), pp. 9--16, 2016.
  15. Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, and Kazuhiro Kazama, "Comparison of Influence Measures on Structural Changes Focused on Node Functions, " Proc. of the 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS2015), pp. 110--119, 2015.
  16. Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda, "Combining Activity-evaluation Information with NMF for Trust-link Prediction in Social Media," Proc. of the 2015 IEEE International Conference on Big Data (BigData2015), pp.2101--2110, 2015.
  17. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Change Point Detection for Information Diffusion Tree ," Proc. of the Eighteenth Internatioanal Conference on Discovery Science(DS2015), pp.161--169, 2015.
  18. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Resampling-based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network ," Proc. of the Nineteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2015), pp.135--147, 2015.
  19. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, " Efficient Learning of User Conformity on Review Score," Proc. of the 2015 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2015), pp. 182--192, 2015.
  20. Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda, "Analyzing Mediator-Activity Effects for Trust-Network Evolution in Social Media, " Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014), pp.297-308, 2014.
  21. Shoko Kato, Kazumi Saito, Kazuhiro Kazama, and Tetsuji Satoh, "MDSR: An Eigenvector Approach to Core Analysis of Multiple Directed Graphs, " Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014), pp.447-458, 2014.
  22. Eri Kobayashi, Takayasu Fushimi, Kazumi Saito, and Tetsuo Ikeda, "Similarity Search by Generating Pivots based on Manhattan Distance, " Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014), pp.435-446, 2014.
  23. Yuki Yamagishi, Seiya Okubo, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda, "A Method to Divide Stream Data of Scores over Review Sites, " Proc. of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI2014), pp.913-919, 2014.
  24. Takayasu Fushimi, Kazumi Saito and Kazuhiro Kazama "Estimating Network Structure from Anonymous Ego-centric Information, " Proc. of the 2014 Pacific Rim Knowledge Acquisition Workshop(PKAW2014), pp.236-245, 2014.
  25. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda, "Efficient Analysis of Node Influence Based on SIR Model over Huge Complex Networks, " Proc. of the first IEEE International Conference on Data Science and Advanced Analytics(DSAA2014), pp.S7-1:1--S7-1:7, 2014.
  26. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Resampling-based Framework for Estimating Node Centrality of Large Social Network ," Proc. of the Seventeenth Internatioanal Conference on Discovery Science(DS2014), pp.228--239, 2014.
  27. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, " New Approach for Item Ranking Based on Review Scores Reflecting Temporal Trust Factor," Proc. of the 2014 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2014), pp. 157--164, 2014.
  28. Kouzou Ohara, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes," Proc. of the Fifth Asian Conference on Machine Learning (ACML2013), pp.149--164, 2013.
  29. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, "Identifying Super-Mediators of Information Diffusion in Social Networks," Proc. of the Sixteenth Internatioanal Conference on Discovery Science(DS2013), pp.170--184, 2013.
  30. Kazumi Saito, Kouzou Ohara, Masahiro Kimura and Hiroshi Motoda, "Detecting Changes in Content and Posting Time Distributions in Social Media, " Proc. of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2013), pp.572--578, 2013.
  31. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, "Which Targets to Contact First to Maximize Influence over Social Network," Proc. of the 2013 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2013), pp. 359--367, 2013.
  32. Kazumi Saito, Kouzou Ohara, Masahiro Kimura and Hiroshi Motoda, "Burst Detection in a Sequence of Tweets based on Information Diffusion Model, " Proc. of the Fifteenth Internatioanal Conference on Discovery Science(DS2012), pp.239--253, 2012.
  33. Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda, "Opinion Formation by Voter Model with Temporal Decay Dynamics, " Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML-PKDD2012), pp.565--580, 2012.
  34. Takayasu Fushimi, Kazumi Saito and Kazuhiro Kazama "Extracting Communities in Networks based on Functional Properties of Nodes, " Proc. of the 2012 Pacific Rim Knowledge Acquisition Workshop(PKAW2012), pp.328--334, 2012.
  35. Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito and Hiroshi Motoda, "Network Analysis of Three Twitter Functions:Favorite, Follow and Mention, " Proc. of the 2012 Pacific Rim Knowledge Acquisition Workshop(PKAW2012), pp.298--312, 2012. (STUDENT SCHOLARSHIPS)
  36. Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda, "Graph Embedding on Spheres and its Application to Visualization of Information Diffusion Data," Proc. of the International Workshop on Mining Social Network Dynamics(MSND2012), pp. 1137--1144, 2012.
  37. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda, "Effect of In/Out-Degree Correlation on Influence Degree of Two Contrasting Information Diffusion Models," Proc. of the 2012 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2012), pp. 131--138, 2012.
  38. Takayasu Fushimi, Yamato, Kubota, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, and Kouzou Ohara, "Speeding up Bipartite Graph Visualization Method," Proc. of the 24th Australasian Joint Conference on Artificial Intelligence (AI2011) pp. 697--706, 2011.
  39. Akihiro Koide, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results," Proc. of the third Asian Conference on Machine Learning (ACML2011) , pp.297--313, 2011.
  40. Yuki Yamagishi, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Learning Attribute-weighted Voter Model over Social Networks," Proc. of the third Asian Conference on Machine Learning (ACML2011) , pp.263--280, 2011.
  41. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda, "Detecting Anti-majority Opinionists Using Value-weighted Mixture Voter Model," Proc. of the 14th International Conference on Discovery Science (DS2011) , pp.150--164, 2011.
  42. Kazuo Aoyama, Kazumi Saito, Hiroshi Sawada, and Naonori Ueda. "Fast Approximate Similarity Search Based on Degree-Reduced Neighborhood Graphs," Proc. of the 17th International Conference on Knowledge Discovery and Data Mining (KDD2011), pp.1055--196, 2011.
  43. Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda, "Efficient Detection of Hot Span in Information Diffusion from Observation," Proc. of the IJCAI-2011 Workshop on Link Analysis inHeterogeneous Information Networks (IJCAI-HINA2011), arXiv:1110.2659v1, 2011.
  44. Kazumi Saito, Kouzou Ohara, Yuki Yamagishi, Masahiro Kimura, and Hiroshi Motoda, "Learning Diffusion Probability based on Node Attributes in Social Networks," Proc. of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS2011), pp.153--162, 2011.
  45. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Detecting Changes in Opinion Value Distribution for Voter Model," Proc. of the 2011 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2011), pp. 89--96, 2011.
  46. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Generative Models of Information Diffusion with Asynchronous Time-delay," The second Asian Conference on Machine Learning (ACML2010), pp.203--218, 2010.
  47. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Discovery of Super-Mediators of Information Diffusion in Social Networks," Proc. of the 13th International Conference on Discovery Science (DS2010), LANAI6332, pp.144--158, 2010.
  48. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Selecting Information Diffusion Models over Social Networks for Behavioral Analysis," Proc. of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), pp.180-195, 2010.
  49. Yusuke Tanahashi, Ryohei Nakano and Kazumi Saito, "Nominally Conditioned Linear Regression," Proc. of the Artificial Neural Networks (ICANN 2010), pp 290-293, 2010.
  50. Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara, and Masahiro Kimura, "Acquiring Expected Influence Curve from Single Diffusion Sequence," Proc. of the 2010 Pacific Rim Knowledge Acquisition Workshop (PKAW2010), pp.273--287, 2010.
  51. Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, and Kouzou Ohara, "Finding Relation between PageRank and Voter Model," Proc. of the 2010 Pacific Rim Knowledge Acquisition Workshop (PKAW2010), pp.209--223, 2010.
  52. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Efficient Estimation of Cumulative Influence for Multiple Activation Information Diffusion Model with Continuous Time Delay," Proc. of the Eleventh Pacific Rim International Conference on Artificial Intelligence (PRICAI2010),pp.244--255, 2010.
  53. Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda, "Learning to Predict Opinion Share in Social Networks," Proc. of the Twenty-Fourth Conference on Artificial Intelligence (AAAI2010), pp.1364--1370, 2010. PDF
  54. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network," Proc. of the 2010 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP2010), pp.149--158, 2010.
  55. Kazuo Aoyama, Shinji Watanabe, Hiroshi Sawada, Yasuhiro Minami, Naonori Ueda, and Kazumi Saito, "Fast Similarity Search on a Large Speech Data Set with Neighborhood Graph Indexing," Proc. of the 35th International Conference on Acoustics, Speech, and Signal Processing (ICASSP2010), pp.5358--5361, 2010.
  56. Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda, "Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis," Proc. of the First Asian Conference on Machine Learning (ACML2009), pp.322--337, 2009. PDF
  57. Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Discovering Influential Nodes for SIS models in Social Networks," Proc. of the 12th International Conference on Discovery Science (DS2009), pp.302--316, 2009. PDF
  58. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Efficient Estimation of Influence Functions for SIS Model on Social Networks," Proc. of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI2009), pp.2046--2051, 2009. PDF
  59. Kazuo Aoyama, Kazumi Saito, Takeshi Yamada, and Naonori Ueda. "Fast Similarity Search in Small-World Networks," Proc. of the First International Workshop on Complex Networks (CompleNet2009), pp.185--196, 2009.
  60. Ken-ichi Fukui, Kazuhisa Sato, Junichiro Mizusaki, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Growth Analysis of Neighbor Network for Evaluation of Damage Progress," Proc. of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2009), pp.933--940, 2009.
  61. Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda, "Finding Influential Nodes in a Social Network from Information Diffusion Data," Proc. of the Second International Workshop on Social Computing, Behavioral Modeling, and Prediction (SBP2009), pp.138--145, 2009. PDF
  62. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "What Does an Information Diffusion Model Tell about Social Network Structure?," Proc. of the 2008 Pacific Rim Knowledge Acquisition Workshop (PKAW2008), pp.288--299, 2008. PDF
  63. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Solving the Contamination Minimization Problem on Networks for the Linear Threshold Model," Proc. of the 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), pp.977--984, 2008. PDF
  64. Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "Effective Visualization of Information Diffusion Process over Complex Networks," Proc. of the 18th European Conference on Machine Learning (ECML2008), PART II, LNAI 5212, pp.326--341, 2008. PDF
  65. Kazumi Saito, Ryohei Nakano and Masahiro Kimura, "Prediction of Information Diffusion Probabilities for Independent Cascade Model," Proc. of the 12th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2008), PART III, LNAI 5179, pp.41--49, 2008.
  66. Kazumi Saito, Nobuaki Mutoh, Tetsuo Ikeda, Toshinao Goda, Kazuki Mochizuki, "Improving Search Efficiency of Incremental Variable Selection by Using Second-order Optimal Criterion," Proc. of the 12th International Conference, Knowledge-based Intelligent Information and Engineering Systems (KES2008), PART III, LNAI 5179, pp.67--75, 2008.
  67. Masahiro Kimura, Kazumi Saito and Hiroshi Motoda, "Minimizing the Spread of Contamination by Blocking Links in a Network," Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI2008), pp.1175--1180, 2008. PDF
  68. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura, and Masayuki Numao, "Sequence-based SOM: Visualizing Transition of Dynamic Clusters," Proc. of the IEEE 8th International Conference on Computer and Information Technology (CIT2008), on CD-ROM, 2008.
  69. Masahiro Kimura, Kazumasa Yamakawa, Kazumi Saito and Hiroshi Motoda, "Community Analysis of Influential Nodes for Information Diffusion on a Social Network," Proc. of the International Joint Conference on Neural Networks (IJCNN2008), pp.1359--1364, 2008. PDF

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  1. ŽRŠÝ—SŒÈ, Ä“¡˜a–€, "Šm—Šƒlƒbƒgƒ[ƒN‚ÌŽžŒn—ñ•ªÍ‚ÉŠî‚­ƒ\[ƒVƒƒƒ‹ƒ^ƒO‚Ì•ª—Þ," Œo‰c‚Əî•ñƒCƒmƒx[ƒVƒ‡ƒ“Œ€‹†, Vol.5, pp.1-10, Oct. 2016.
  2. ¬—Ñ‚Š‚è, Ä“¡˜a–€, ‘å‹v•Ûœ–ç, ’r“c“N•v, “n糏G”Ž, "ƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»–@‚ð—p‚¢‚œ‹C‚«Œ^ŒŸõƒVƒXƒeƒ€," Œo‰c‚Əî•ñ, Vol.28, No.2, pp.1-10, Mar. 2016.
  3. •“¡L–Ÿ, Ä“¡˜a–€, “’£—Tº, “n糋M”V, "Wi-FiÝ’u‚É‚æ‚郆[ƒUs“®—š—ðƒf[ƒ^ŽûWƒVƒXƒeƒ€‚̍\’z," Œo‰c‚Əî•ñ, Vol.27, No.2, pp.73-84, Mar. 2015.
  4. ’r“c“N•v, •“¡L–Ÿ, Ä“¡˜a–€, “’£—Tº, “n糋M”V, " Wi-Fi’ʐMƒƒO‚ÆGPSƒƒO‚Ì“‡—˜—p‚É‚æ‚郆[ƒUs“®—š—ðƒf[ƒ^ŽûW," Œo‰c‚Əî•ñ, Vol.27, No.2, pp.63-70, Mar. 2015.
  5. Ä“¡ ˜a–€, "ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg‚ð—p‚¢‚œƒeƒLƒXƒg‚Ì“Á’¥Œê’Šo," Œo‰c‚Əî•ñ, Vol.20, No.1, pp.17--28, 2007. PDF
  6. “¡–ì º“TCã“c CŒ÷CÄ“¡ ˜a–€, "ƒeƒLƒXƒgŽ©“®•ª—Þ‚Ì‚œ‚ß‚Ì”Œ‹³Žt‚ ‚èŠwK‹Zp," NTT‹ZpƒWƒƒ[ƒiƒ‹, Vol.19, No.6, pp.26-28, 2007. PDF
  7. Kazumi Saito "Multiple Topic Detection by Parametric Mixture Models (PMM) - Automatic Web Page Categorization for Browsing, " NTT Technical Review, Vol.3, No.3, pp.15-18, 2005.
  8. Ä“¡ ˜a–€, "ƒpƒ‰ƒƒgƒŠƒbƒN¬‡ƒ‚ƒfƒ‹iPMMj‚É‚æ‚é‘œdƒgƒsƒbƒN’Šo," NTT‹ZpƒWƒƒ[ƒiƒ‹, Vol.16, No.6, pp.10--13, 2004. PDF
  9. Ä“¡ ˜a–€, ’†–ì —Ç•œ, "ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg‚ð—p‚¢‚œ–@‘¥”­Œ©," NTT R&D, Vol.46, No.6, pp.547--552, 1997.
  10. Ä“¡ ˜a–€, ’†–ì —Ç•œ, "”’lƒf[ƒ^‚ɐö‚Þ–@‘¥‚ð”­Œ© -ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg‰ž—p‹Zp(RF5)-," NTT‹ZpƒWƒƒ[ƒiƒ‹, Vol.9, No.5, pp.104--107, 1997.
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  1. Ä“¡ ˜a–€, ’r“c “N•v, ‘å‹v•Û œ–ç, "ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒN‚ÉŒ©‚é“Œ“ú–{‘åkÐ‚Ɛɪ," ›š, ‰œ‘º•Ò, Ã‰ª‚ÉŠw‚Ô’nˆæƒCƒmƒx[ƒVƒ‡ƒ“, pp.165--186, ’†‰›ŒoÏŽÐ, 2013.
  2. Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao, "Tracking and Visualization of Cluster Dynamics by Sequence-based SOM," In George K Matsopoulos ed., Self-Organizing Maps, INTECH, pp.97--112, 2010. PDF
  3. Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda, "What Does an Information Diffusion Model Tell about Social Network Structure?," In R. Goebel, J. Siekmann, and W. Wahlster eds., Knowledge Acquisition: Approaches, Algorithms and Applications, Springer, pp.122--136, 2009. PDF
  4. Kazumi Saito, Takeshi Yamada and Kazuhiro Kazama, "The k-dense method to extract communities from complex networks," In D. A. Zighed, S. Tsumoto, Z. W. Ras, and H. Hacid eds., Mining Complex Data, Studies in Computational Intelligence, pp.243--257, Springer, 2008.
  5. Ä“¡ ˜a–€, "ƒlƒbƒgƒ[ƒN‚̉Ž‹‰»‹Zp -‘å‹K–͏î•ñ‚©‚ç‚̈Ӗ¡î•ñ‚Ì’Šo-," ÂŽRG–Ÿ, ‘Š”n˜j, “¡ŒŽ‹`‹v•Ò, ƒlƒbƒgƒ[ƒN‰ÈŠw‚ւ̏µ‘Ò ¢ŠE‚Ì"‚‚Ȃª‚è"‚ð’m‚é‰ÈŠw‚ÆŽvl, —ÕŽž•ÊûE”—‰ÈŠwSGCƒ‰ƒCƒuƒ‰ƒŠ65, pp.166--171, ƒTƒCƒGƒ“ƒXŽÐ, 2008.
  6. Kazumi Saito and Pat Langley, "Quantitative revision of scientific models," In S.Dzeroski, L.Todorovski, eds., Computational discovery of communicable scientific knowledge, Vol.LNCS4660, Springer, pp.120--137, 2007.
  7. Ä“¡˜a–€, "ŠwKŒ‹‰Ê‚Í‚Ç‚€•]‰¿‚³‚ê‚é‚ׂ«‚©FŒP—û—á‚ƃeƒXƒg—áiˆÍ‚Ý‹LŽ–j," "ŠwKŒ‹‰Ê‚Ì•]‰¿," "‘ã•\“I‚ȃxƒ“ƒ`ƒ}[ƒN," "ƒNƒƒXƒoƒŠƒf[ƒVƒ‡ƒ“iŒð·ŒŸ’èj," lH’m”\Šw‰ï•Ò, lH’m”\ŠwŽ–“T, pp.276, pp.299--301, ‹€—§o”Å, 2005.
  8. Ryohei Nakano and Kazumi Saito, "Discovering Polynomials to Fit Multivariate Data Having Numeric and Numinal Variables," In S.Arikawa, A.Shinohara, eds., Progress in Discovery Science, Vol.LNAI2281, pp.482--493, Springer, 2002.
  9. Pat Langley, Jeff Shrager, and Kazumi Saito, "Computational discovery of communicable scientific knowledge," In L.Magnani, N.J.Nersessian, and C.Pizzi, eds., Logical and computational aspects of model-based reasoning, pp.201--226, Springer, 2002.
  10. ’†–ì —Ç•œ, Ä“¡ ˜a–€, "‘œ•Ï—ʃf[ƒ^‚©‚ç‚Ì‘œ€Ž®Œ^–@‘¥‚Ì”­Œ©," X‰º, ‹{–ì•Ò, ”­Œ©‰ÈŠw‚ƃf[ƒ^ƒ}ƒCƒjƒ“ƒO, pp.217--227, ‹€—§o”Å, 2000.
  11. Kazumi Saito and Ryohei Nakano, "A connectionist approach to numeric law discovery," In K.Furukawa, D.Michie, and S.Muggleton, eds., Machine Intelligence 15 Intelligent Agents (MI15), pp.315--327, Oxford Press, 1999.
  12. Kazumi Saito and Ryohei Nakano, "A concept learning algorithm with adaptive search," In K.Furukawa, D.Michie, and S.Muggleton, eds., Machine Intelligence 14 Applied Machine Intelligence (MI14), pp.347--363, Oxford Press, 1993.

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  1. •šŒ©‘싱CÄ“¡ ˜a–€C•—ŠÔˆê—mC" •¡ŽGƒlƒbƒgƒ[ƒN‚Ì‹@”\ƒRƒ~ƒ…ƒjƒeƒB\‘¢‚̉Ž‹‰»C"‰ÂŽ‹‰»î•ñ, Vol.36, No.141, pp.68--74, 2016.
  2. ‘匎 „ŽOCÄ“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C" î•ñŠgŽUƒ‚ƒfƒ‹‚ÉŠî‚­ŽÐ‰ïƒlƒbƒgƒ[ƒNã‚̉e‹¿“x•ªÍC"ƒIƒyƒŒ[ƒVƒ‡ƒ“ƒYEƒŠƒT[ƒ`CVol.60, No8, pp.449--455, 2015.
  3. Ä“¡ ˜a–€, "ƒEƒFƒuƒTƒCƒGƒ“ƒX“ü–å," —‘å ‰ÈŠwƒtƒH[ƒ‰ƒ€, No.309, pp.2--7, 2010.
  4. Ä“¡ ˜a–€, "ƒlƒbƒgƒ[ƒN‚̉Ž‹‰»‹Zp -‘å‹K–͏î•ñ‚©‚ç‚̈Ӗ¡î•ñ‚Ì’Šo-," ”—‰ÈŠw, No.536, pp.78--83, 2008.
  5. ã“c CŒ÷, Ä“¡ ˜a–€, "‘œdƒgƒsƒbƒNƒeƒLƒXƒg‚ÌŠm—Šƒ‚ƒfƒ‹ -ƒeƒLƒXƒgƒ‚ƒfƒ‹Œ€‹†‚̍őOü(2)-," î•ñˆ—, Vol.45, No3, pp.282--289, 2004.
  6. ã“c CŒ÷, Ä“¡ ˜a–€, "‘œdƒgƒsƒbƒNƒeƒLƒXƒg‚ÌŠm—Šƒ‚ƒfƒ‹ -ƒeƒLƒXƒgƒ‚ƒfƒ‹Œ€‹†‚̍őOü(1)-," î•ñˆ—, Vol.45, No2, pp.184--190, 2004.
  7. Ä“¡ ˜a–€, "ƒjƒ…[ƒ‰ƒ‹ƒlƒbƒg‚É‚æ‚éƒf[ƒ^ƒ}ƒCƒjƒ“ƒO," ‰ž—p”—Šw‰ïŽ, Vol.12, No.4, pp.45--53, 2002
  8. Ä“¡ ˜a–€, "Ž„‚Ì–{’Iu‹@ŠBŠwKv,"lH’m”\Šw‰ïŽ, Vol.17, No.2, pp.246--248, 2002

Œ€‹†‰ï‚È‚Ç”­•\

  1. —é–Ø—D‰Ÿ, Ä“¡ ˜a–€, "ƒXƒeƒbƒv•ª‰ðŒ^”}‰î’†S«‚É‚æ‚铹˜H–Ԃ̍¬ŽG“x•ª•z‚Ì•ªÍC"‘æ116‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS116jCDec.2017.
  2. ŽRŠÝ—SŒÈ, Šâú±Ž“l, Ä“¡ ˜a–€, "‘œ€•ª•zŒ^ƒŒƒW[ƒ€ƒXƒCƒbƒ`ƒ“ƒOŒŸoŽè–@‚É‚æ‚éŠÂ‹«î•ñ‚̉Ž‹‰»C"‘æ116‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS116jCDec.2017.
  3. •šŒ© ‘싱, Ä“¡ ˜a–€, ’r“c “N•v, •—ŠÔ ˆê—m, "W‡’†S«ƒm[ƒh‚Ì”}‰îŠñ—^“x‚ÉŠî‚­ƒRƒ~ƒ…ƒjƒeƒB’ŠoC"‘æ116‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS116jCDec.2017.
  4. ‘å‹v•Û œ–ç, •“¡ L–Ÿ, “’£ —Tº, ’r“c “N•v, Ä“¡ ˜a–€, "•¡ŽGƒlƒbƒgƒ[ƒN•ªÍƒAƒvƒ[ƒ`‚É‚æ‚éV‹K“¹˜H‚ÌŠJ’ÊŒó•â’n‘I’è–@C"’nˆæˆÀ‘SŠw‰ï[ŠTW No.41CNov. 2017.
  5. “’£ —Tº, •“¡ L–Ÿ, ‘å‹v•Û œ–ç, ’r“c “N•v, Ä“¡ ˜a–€, "•¡ŽGƒlƒbƒgƒ[ƒN•ªÍƒAƒvƒ[ƒ`‚É‚æ‚é’ljÁ”ð“ïŽ{Ý‚̐ݒuŒó•â’n‘I’è–@C"’nˆæˆÀ‘SŠw‰ï[ŠTW No.41CNov. 2017.
  6. —é–Ø—D‰Ÿ, Ä“¡ ˜a–€, "ŽžŠÔŒo‰ß‚̕ω»‚ÉŠî‚­“®“I’†S«‚Ì’ñˆÄ‚Ɖž—pC"‘æ115‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS115jCSep.2017.
  7. ŽRŠÝ—SŒÈ, Šâú±Ž“l, Ä“¡ ˜a–€, "‘œŒQoŒ»‡ˆÊ“Œv—Ê‚ÉŠî‚­ŽžŒn—ñƒf[ƒ^‚Ì•ÏŠ·C"‘æ115‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS115jCSep.2017.
  8. •šŒ© ‘싱, Ä“¡ ˜a–€, ’r“c “N•v, •—ŠÔ ˆê—m, "ƒŠƒ“ƒNØ’f‚Ɋ挒‚ȘAŒ‹’†S«‚Æ‚»‚̍‚‘¬ŒvŽZ–@C"‘æ115‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆŒ€‹†”­•\‰ïiMPS115jCSep.2017.
  9. ŽRŠÝ—SŒÈ, Ä“¡ ˜a–€, "ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚é‘œ€•ª•z‚ÉŠî‚­ƒŒƒW[ƒ€ƒXƒCƒbƒ`ƒ“ƒOŒŸoŽè–@‚ƉŽ‹‰»‚ւ̉ž—pC"‘æ10‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2017j, Sep.2017.
  10. ŽRŠÝ—SŒÈ, Šâú±Ž“l, Ä“¡ ˜a–€, "ŽžŠÔ•ûŒü‚Ì‘œŒQ‡ˆÊ“Œv—Ê‚ÉŠî‚­ŒXŒü•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  11. ‘v–Q, Ä“¡ ˜a–€, ’r“c“N•v, ÂŽRˆê¶, "æ×~“ž’B’†S«‚É‚æ‚éƒlƒbƒgƒ[ƒN’Tõ«”\‚Ì“Á’¥•t‚¯C"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  12. —é–Ø—D‰Ÿ, Ä“¡ ˜a–€, "•ª‰ðŒ^ƒXƒeƒbƒv”}‰î’†S«‚É‚æ‚铹˜H–Ô•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  13. ’Ë–{—³‘Ÿ˜Y, Ä“¡ ˜a–€, "ˆÚ“®˜AŒ‹«‚ÉŠî‚­“sŽs”ð“ïŒó•â’n‚Ì‘I’è–@C"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  14. “c’†—Y‘å, Ä“¡ ˜a–€, Šâú±Ž“l, ‘å‹v•Ûœ–ç, "—ÞŽ—ƒlƒbƒgƒ[ƒN‚É‚æ‚éŽsêƒf[ƒ^‚Ì•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  15. –]ŒŽ¬ˆê˜Y, Ä“¡ ˜a–€, "ƒŠƒ“ƒN¶¬‚É‚æ‚éƒlƒbƒgƒ[ƒN«”\‚̍ő剻C"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  16. —é–Ø—Dl, Ä“¡ ˜a–€, "ƒ†[ƒU‰e‹¿“x•ªÍ–@‚É‚æ‚郌ƒrƒ…[ƒf[ƒ^“Á«•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  17. —k¬—Ž, Ä“¡ ˜a–€, "¶ŽY“ú”‚ðl—¶‚µ‚œAntrasã—¬“xŠg’£C"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  18. ‰äÈ—E‹M, Ä“¡ ˜a–€, Šâú±Ž“l, ‘å‹v•Ûœ–ç, "ŒoÏ•š—ƒAƒvƒ[ƒ`‚É‚æ‚éŽsêƒf[ƒ^‚Ì•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  19. ¬–ì‘ñŠC, Ä“¡ ˜a–€, Šâú±Ž“l, ‘å‹v•Ûœ–ç, "•Ï‰»“_ŒŸo–@‚É‚æ‚é”_‹ÆŠÂ‹«ƒf[ƒ^‚Ì•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  20. —é–؈ê–î, Ä“¡ ˜a–€, Šâú±Ž“l, ‘å‹v•Ûœ–ç, "K-medoids–@‚É‚æ‚é”_‹ÆŠÂ‹«ƒf[ƒ^‚Ì•ªÍC"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  21. ‘唚Œ\—C, Ä“¡ ˜a–€, "ƒf[ƒ^‘ΏۂƖ„‚ߍž‚ÝŽè–@‚̈Ⴂ‚É‚æ‚éƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»‚Ì“Á«•]‰¿C"‘æ16‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2017jCSep.2017.
  22. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"‹@”\ƒNƒ‰ƒXƒ^’Šo‚‘¬‰»‚̈ꌟ“¢C"‘æ14‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2017jCAug.2017.
  23. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ˆê”ʉ»ƒsƒ{ƒbƒg‚É‚æ‚éL1‹——£‚ÉŠî‚­K-medoidsƒNƒ‰ƒXƒ^ƒŠƒ“ƒO‚̍‚‘¬‰»C"‘æ31‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2017jCMay. 2017.
  24. ƒAƒŠƒt ƒ}ƒEƒ‰ƒi, Ä“¡ ˜a–€, ’r“c “N•v, “’£ —Tº, "Ý”õ‚©‚ç‚Ì‹——£‚ÉŠî‚­“¹˜H–ԏã‚̃GƒŠƒA‚Ì“Á’¥•ªÍ,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  25. ‘唚Œ\—C, Ä“¡ ˜a–€, "–„‚ߍž‚ÝŽè–@‚̈Ⴂ‚É‚æ‚éƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»‚Ì“Á«•]‰¿,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  26. ’Ë–{—³‘Ÿ˜Y, Ä“¡ ˜a–€, "ˆÚ“®’†S«‚ƈړ®˜AŒ‹«‚É‚æ‚é“sŽs”ð“ï’n‚Ì”äŠr•]‰¿,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  27. ŽRŠÝ—SŒÈ, Ä“¡ ˜a–€, "‘œ€•ª•zƒXƒgƒŠ[ƒ€ƒf[ƒ^‚É‚š‚¯‚éˆÙí‹æŠÔŒŸo‚Ì”äŠrŽÀŒ±,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  28. ‘v–Q, Ä“¡ ˜a–€, "‰æ‘œƒf[ƒ^‚ð—p‚¢‚œ‹——£‡ˆÊ•Û‘¶“x‚É‚æ‚é‰ÂŽ‹‰»Œ‹‰Ê‚Ì•]‰¿,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  29. —k¬—Ž, Ä“¡ ˜a–€, "ã—¬“x‚Ì—¬‚ê}‰ÂŽ‹‰»–@‚É‚æ‚éŽY‹Æ•ªÍ,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  30. —é–Ø—D‰Ÿ, Ä“¡ ˜a–€, "ƒlƒbƒgƒ[ƒN\‘¢‚É‚æ‚éˆÓŒ©Œ`¬ƒ‚ƒfƒ‹‚̉e‹¿“x•ªÍ,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  31. —é–Ø—Dl, Ä“¡ ˜a–€, "“Š•[ŽÒƒ‚ƒfƒ‹‚ÉŠî‚­ƒŒƒrƒ…[‰ñ”ƒ†[ƒUd‚݉e‹¿“x•ªÍ,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  32. ”’àV•ä, Ä“¡ ˜a–€, "ŽÀ‹——£‚ƃXƒeƒbƒv‹——£‚ÉŠî‚­‹ßÚE”}‰î’†S«‚É‚æ‚é“sŽs“Á«‚Ì•ª—Þ,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  33. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—m, "“¹˜H\‘¢‚Ì—ÞŽ—«‚É’…–Ú‚µ‚œ‹@”\ƒNƒ‰ƒXƒ^’Šo‚̍‚‘¬‰»,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  34. ‘åÎ ^¶CÄ“¡ ˜a–€C“nç³ ‹M”V, "ŠÏŒõs“®•ªÍ‚Ì‚œ‚߂̃vƒ[ƒuƒp[ƒ\ƒ“ƒf[ƒ^‚ð—p‚¢‚œ’†S«Žw•W‚Ì•]‰¿,"î•ñˆ—Šw‰ï‘æ79‰ñ‘S‘‘å‰ï(IPSJ2017), Mar.2017.
  35. ƒAƒŠƒt ƒ}ƒEƒ‰ƒiCÄ“¡ ˜a–€C’r“c “N•vC“’£ —TºC"Characterizing Areas of Spatial Networks Based on Mixing PatternsC"‘æ9‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (DEIM2017), Mar.2017.
  36. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, "–Þ“x‚ÉŠî‚­ƒXƒgƒŠ[ƒ€ƒf[ƒ^‚ُ̈팟oŽè–@‚ÌŠŽ“x‚ÉŠÖ‚·‚éŽÀŒ±, "‘æ9‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (DEIM2017), Mar.2017.
  37. —é–Ø —D‰Ÿ, Ä“¡ ˜a–€, "ˆÓŒ©Œ`¬ƒ‚ƒfƒ‹‚̉e‹¿“x‹Èü‚É‚š‚¯‚é—ÞŽ—ƒm[ƒhŒQ‚Ì“Á«•ªÍ, "‘æ9‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (DEIM2017), Mar.2017.
  38. ‘åÎ ^¶CÄ“¡ ˜a–€C“nç³ ‹M”V, "dŠÏŒõƒŠƒ\[ƒX“KØ”z’u‚Ì‚œ‚߂̃vƒ[ƒuƒp[ƒ\ƒ“ƒf[ƒ^‚ð—p‚¢‚œ”}‰î’†S«‚Ì•]‰¿,"‘æ3‰ñ‚Æ‚€‚©‚¢ŠÏŒõî•ñŠwŒ€‹†‰ï, Feb.2017.
  39. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"‹——£•ª•z‚ÌŒ`ó•ª•z‚ÉŠî‚­ƒIƒuƒWƒFƒNƒg‚Ì“Á’¥„’èC"‘æ9‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2016jCNov.2016.
  40. ’Ë–{ —³‘Ÿ˜YCÄ“¡ ˜a–€C"“¹˜H•ÂÇ‚É‚æ‚é‰I‰ñ‰e‹¿•ªÍC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  41. ‘v –QCÄ“¡ ˜a–€C"‰æ‘œƒf[ƒ^ŠÔ‚Ì‹——£’è‹`‚̈Ⴂ‚É‚æ‚éƒsƒ{ƒbƒg‰ÂŽ‹‰»•]‰¿C"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  42. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"’†S«Žw•W‚Ì•ª•z‚ÉŠî‚­‹ÇŠ‰ü‘PƒNƒ‰ƒXƒ^ƒŠƒ“ƒO‚̐«”\•]‰¿C"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  43. ‘唚 Œ\—CCÄ“¡ ˜a–€C"ƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»‚É‚æ‚郆[ƒUs“®•ªÍC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  44. —k ¬—ŽCÄ“¡ ˜a–€C"ŽY‹Æ˜AŠÖ•\‚ð—p‚¢‚œ‹ÆŽí‚̏㗬“x•ªÍC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  45. —é–Ø —DlCÄ“¡ ˜a–€C"“Š•[ŽÒƒ‚ƒfƒ‹‚ÉŠî‚­•¡”ƒŒƒrƒ…[ƒTƒCƒg‚ł̉e‹¿“x•ªÍC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  46. ”’àV •äCÄ“¡ ˜a–€C"ƒm[ƒhŠÔ‚ÌŽÀ‹——£‚ÉŠî‚­‹ßÚ’†S«‚Æ”}‰î’†S«‚Ì“Á«•]‰¿C"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  47. ƒAƒŠƒt ƒ}ƒEƒ‰ƒiCÄ“¡ ˜a–€C’r“c “N•vC“’£ —TºC"Statistical analysis method for spatial network based on inter-node link distanceC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  48. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ŒQ‚ꃂƒfƒ‹‚ÉŠî‚­ˆÓŒ©Œ`¬ƒ_ƒCƒiƒ~ƒNƒX‚Ì•ªÍC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  49. Šâè ˆê‹PC—é–Ø —D‰ŸCÄ“¡ ˜a–€C"ƒ†[ƒUs“®ƒf[ƒ^‚É‚æ‚éƒTƒ“ƒvƒŠƒ“ƒOŒvŽZ‰ð‚Ì•]‰¿C"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2016.
  50. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"ŽžŠÔŒžŠ•t‚«ƒJƒeƒSƒŠ‘I‘ðƒ‚ƒfƒ‹‚ð—p‚¢‚œƒŒƒrƒ…[ŒXŒü•ªÍƒsƒ{ƒbƒg‚ð—p‚¢‚œK-medoidsƒNƒ‰ƒXƒ^ƒŠƒ“ƒO‚‘¬‰»‚É‚æ‚é‘å‹K–Í‹@”\ƒRƒ~ƒ…ƒjƒeƒB’ŠoC"‘æ15‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2016jCSep.2015.
  51. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ŒQ‚ꃂƒfƒ‹‚ÉŠî‚­ƒIƒsƒjƒIƒ“Œ`¬‚̕ω»“_ŒŸoC"‘æ13‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2016jCAug.2016.
  52. ‘v –QCÄ“¡ ˜a–€C"ƒsƒ{ƒbƒg‘I‘ð–@‚Æ‹——£’è‹`‚̈Ⴂ‚É‚æ‚é—ÞŽ—’Tõ«”\•]‰¿C"‘æ13‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2016jCAug.2016.
  53. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ë“x‚Ƙc“x‚ÉŠî‚­ƒIƒuƒWƒFƒNƒg‚Ì’†S«•ªÍC"‘æ13‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2016jCAug.2016.
  54. ƒAƒŠƒt ƒ}ƒEƒ‰ƒiCÄ“¡ ˜a–€C’r“c “N•vC“’£ —TºC"Characterizing spatial networks based on degree mixing patterns and inter-node link distance distributionsC"‘æ13‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2016jCAug.2016.
  55. ‘åÎ ^¶C—é–Ø —D‰ŸCÄ“¡ ˜a–€C“nç³ ‹M”VC"ƒAƒ“ƒP[ƒg’²ž‚É‚æ‚éŠÏŒõƒXƒ|ƒbƒg‘JˆÚƒf[ƒ^‚©‚ç‚ُ̈í‰ñ“šŒŸ’mC"‘æ13‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2016jCAug.2016.
  56. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒOƒ‰ƒt\‘¢‚É’…–Ú‚µ‚œ•]‰¿•¶‘‚̋ɍÀ•W‰ÂŽ‹‰»–@C"‘æ30‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2016jCJun. 2016.
  57. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒXƒ|ƒbƒgî•ñ‚ðl—¶‚µ‚œ•¡‡ƒf[ƒ^•ª—Þƒ‚ƒfƒ‹C"‘æ30‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2016jCJun.2016.
  58. Maulana AriefCÄ“¡ ˜a–€C’r“c “N•vC“’£ —TºC“nç³ ‹M”VC‘å‹v•Û œ–çC•“¡ L–ŸC"ŽŸ”¬‡ƒpƒ^[ƒ“‚ÉŠî‚­¢ŠE42“sŽs“¹˜H–Ô‚Ì—ÞŽ—\‘¢•ªÍC"‘æ30‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2016jCJun. 2016.
  59. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"ƒ\[ƒVƒƒƒ‹ƒ^ƒOŠÔ‚ÌŠm—Šƒlƒbƒgƒ[ƒN\’z‚É‚æ‚éƒ^ƒO‚Ì‹@”\•ªÍC"‘æ30‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2016jCJun. 2016.
  60. Šâè ˆê‹P, —é–Ø —D‰Ÿ, Ä“¡ ˜a–€, "ƒTƒ“ƒvƒŠƒ“ƒOŒvŽZ‚É‚æ‚é‰ñ—V’†S«‚̉𐞓x•]‰¿, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  61. —k ¬—Ž, ‰«–{ ‚Ü‚Ç‚©, ã–ì —YŽj, Ä“¡ ˜a–€, "Šé‹Æ‚ÌŠ”‰¿ƒf[ƒ^‚ð—p‚¢‚œ‹ÆŽí‚²‚Æ‚Ì“¯—Þ“x•ªÍ, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  62. ’†—¢ ŽåÆ, ¬—Ñ ‚Š‚è, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, ‹g“c Œõ’j, "ƒCƒxƒ“ƒg‚É‚š‚¯‚étwitter‚̈ʒuî•ñ•t‚«ƒcƒC[ƒg‚ð—˜—p‚µ‚œƒ†[ƒU[‚̍s“®•ªÍ, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  63. Œã“¡ —T, ¬—Ñ ‚Š‚è, Ä“¡ ˜a–€, ‘å‹v•Û œ–ç, ’r“c “N•v, "‘œŽíî•ñ‚ð—˜—p‚µ‚œƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»–@, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  64. ƒAƒŠƒt ƒ}ƒEƒ‰ƒi, Ä“¡ ˜a–€, ’r“c “N•v, “’£ —Tº, “nç³ ‹M”V, ‘å‹v•Û œ–ç, •“¡ L–Ÿ, "Characterizing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  65. —é–Ø —D‰Ÿ, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "ƒXƒ|ƒbƒgî•ñ‘g‚ݍž‚݃‚ƒfƒ‹‚É‚æ‚é‰ñ—Vs“®ƒf[ƒ^‚Ì•ª—Þ, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  66. ‰i‘q ‘ì–í, ¬—Ñ ‚Š‚è, Ä“¡ ˜a–€, "“Š•[ŽÒƒ‚ƒfƒ‹‚ÉŠî‚­ƒŒƒrƒ…[‡˜‰e‹¿“x•ªÍ, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  67. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, "lHƒlƒbƒgƒ[ƒN‚Å‚Ì Bottom-k Sketch ‚É‚æ‚é‰Â“ž’Bƒm[ƒh”„’è•]‰¿, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  68. ‘åÎ ^¶, “’£ —Tº, Ä“¡ ˜a–€, “nç³ ‹M”V, "Šm—Š•t‚«W‡‰ñ—V’†S«‚ÉŠî‚­d—vŠÏŒõƒXƒ|ƒbƒg‚Ì•À—ñŒvŽZ, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  69. “‡è —Á, ¬—Ñ ‚Š‚è, Ä“¡ ˜a–€, ’r“c “N•v, "‰æ‘œƒf[ƒ^‚ð—p‚¢‚œL1ƒsƒ{ƒbƒg‰ÂŽ‹‰»–@‚Ì•]‰¿, "î•ñˆ—Šw‰ï‘æ78‰ñ‘S‘‘å‰ï(IPSJ2016), Mar.2016.
  70. •šŒ© ‘싱, ²“¡ “NŽi, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "\‘¢“Á«‚ƈӖ¡“Á«‚ðl—¶‚µ‚œ’†S«Žw•W‚Ì’ñˆÄ, "‘æ8‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (DEIM2016), Mar.2016.
  71. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, "ŠÏŒõƒŒƒrƒ…[ƒf[ƒ^‚©‚ç\’z‚µ‚œŠm—Šƒlƒbƒgƒ[ƒN‚É‚æ‚é’nˆæ•ªÍ, "‘æ8‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (DEIM2016), Feb.2016.
  72. ¬—Ñ ‚Š‚è, ’†—¢ ŽåÆ, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, ‹g“c Œõ’j, "ŠÏŒõƒCƒxƒ“ƒg‚É‚š‚¯‚éˆÊ’uî•ñƒcƒC[ƒg‚É‚æ‚郆[ƒUs“®•ªÍ, "‘æ2‰ñ‚Æ‚€‚©‚¢ŠÏŒõî•ñŠwŒ€‹†‰ï, Feb.2016.
  73. —é–Ø —D‰Ÿ, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "d‚Ý•t‚«‰ñ—Vs“®’†S«‚É‚æ‚é’ŠoƒXƒ|ƒbƒg‚̈À’萫•]‰¿, "‘æ2‰ñ‚Æ‚€‚©‚¢ŠÏŒõî•ñŠwŒ€‹†‰ï, Feb.2016.
  74. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, "ƒ†[ƒUs“®ƒ‚ƒfƒ‹‚ÉŠî‚­ƒXƒ|ƒbƒgŠÔŠm—Šƒlƒbƒgƒ[ƒN‚̍\’z, "‘æ162‰ñDBSŒ€‹†”­•\‰ï (SIG-DBS162), Nov.2015.
  75. —é–Ø —D‰Ÿ, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "‰ñ—Vs“®’†S«‚É‚æ‚éƒXƒ|ƒbƒg’Šo, "‘æ162‰ñDBSŒ€‹†”­•\‰ï (SIG-DBS162), Nov.2015.
  76. ¬—Ñ ‚Š‚è, Ä“¡ ˜a–€, ’r“c “N•v, ÂŽR ˆê¶, •ž•” ³Žk, "L1‹——£ã‚ł̃Nƒ‰ƒXŠ„‚è“–‚ăsƒ{ƒbƒg‚É‚æ‚é—ÞŽ—ŒŸõ, "‘æ162‰ñDBSŒ€‹†”­•\‰ï (SIG-DBS162), Nov.2015.
  77. •šŒ© ‘싱, ²“¡ “NŽi, Ä“¡ ˜a–€, •—ŠÔ ˆê—m, "‹——£ŒžŠd‚݂𓱓ü‚µ‚œƒm[ƒhŒQ‚ւ̃Aƒmƒe[ƒVƒ‡ƒ“•t—^–@, "‘æ8‰ñ Web‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDBf2015), Nov.2015.
  78. ‘åÎ^¶C“’£—Tº, Ä“¡˜a–€,“n糋M”VC"W‡‰ñ—V’†S«‚ÉŠî‚­—§‚¿Šñ‚è—eˆÕƒXƒ|ƒbƒg‚Ì•À—ñŒvŽZ, "‘æ13‰ñî•ñŠwƒ[ƒNƒVƒ‡ƒbƒv(WiNF2015), Nov.2015.
  79. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vCÂŽR ˆê¶C•ž•” ³ŽkC"ƒNƒGƒŠ•ª•z‚ðl—¶‚µ‚œˆê”ʉ»ƒsƒ{ƒbƒg–@‚Ì‹——£’è‹`‚É‚æ‚é“Á«•]‰¿C"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  80. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"Žž‹óŠÔî•ñ‚ðl—¶‚µ‚œ“Œvƒ‚ƒfƒ‹‚ÉŠî‚­ŠÏŒõƒXƒ|ƒbƒg‚̃‰ƒ“ƒLƒ“ƒOŽè–@C"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  81. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"Å–ސ„’è‚É‚æ‚é‰ñ—Vs“®ƒ‚ƒfƒŠƒ“ƒOC"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  82. Šâè ˆê‹PC—é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒ†[ƒU[s“®ƒf[ƒ^‚É‚æ‚é‰ñ—V’†S«‚ÌŠg’£C"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  83. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ŽžŠÔŒžŠ•t‚«ƒJƒeƒSƒŠ‘I‘ðƒ‚ƒfƒ‹‚ð—p‚¢‚œƒŒƒrƒ…[ŒXŒü•ªÍC"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  84. ‰i‘q ‘ì–íC¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C"“Š•[ŽÒƒ‚ƒfƒ‹‚ÉŠî‚­ƒ†[ƒU‰e‹¿“x•ªÍC"‘æ14‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2015jCSep.2015.
  85. ã–ì —YŽjCÄ“¡ ˜a–€C—k ¬—ŽC" Še‘Š”‰¿ƒf[ƒ^‚É—˜—p‚µ‚œŠé‹ÆŠÔ‚Ì“¯—Þ“x‚̃lƒbƒgƒ[ƒN•ªÍC"“ú–{s“®Œv—ÊŠw‰ï ‘æ43‰ñ‘S‘‘å‰ïiBSJ2015jCSep.2015.
  86. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒm[ƒhŠÔ‚̗אڊ֌W‚ðl—¶‚µ‚œƒAƒmƒe[ƒVƒ‡ƒ“–@‚Ì’ñˆÄC"ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2015jCAug. 2015.
  87. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"Å–ސ„’è‚É‚à‚Ƃ­‰ñ—Vs“®“Œvƒ‚ƒfƒŠƒ“ƒOC"ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2015jCAug. 2015.
  88. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"•]“_ŽžŒn—ñƒf[ƒ^‚̐M—Š‹æŠÔ‚ƈُí‹æŠÔ‚ÌŒŸo‚ÉŠî‚­ƒ‰ƒ“ƒLƒ“ƒOŽè–@C"ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2015jCAug. 2015.
  89. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"•ªŠ„ƒf[ƒ^‚É‚æ‚é‰ñ—Vs“®•Ï‰»‚ÌŒŸo C"‘æ12‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2015jCAug.2015.
  90. Œ ‰Â“ìŽqCÄ“¡ ˜a–€C’r“c “N•vC‘å‹v•Û œ–çC"Ž©ŒÈ’†Sƒgƒ‰ƒCƒAƒh•Ï‰»‹Èü‚É‚æ‚郆[ƒU•ªÍ C"‘æ12‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2015jCAug.2015.
  91. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ƒŒƒrƒ…[•]“_ŽžŒn—ñƒf[ƒ^‚Ì‹æŠÔ•ªŠ„‚ÉŠî‚­ŽžŠú“IM—Š‚ðl—¶‚µ‚œƒ‰ƒ“ƒLƒ“ƒOŽè–@C"‘æ12‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2015jCAug.2015.
  92. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"—אڊ֌W‚ðl—¶‚µ‚œƒm[ƒhŒQ‚ւ̃Aƒmƒe[ƒVƒ‡ƒ“•t—^–@ C"‘æ12‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2015jCAug.2015.
  93. ƒAƒŠƒt ƒ}ƒEƒ‰ƒiCÄ“¡ ˜a–€C’r“c “N•vC“nç³ ‹M”VC“’£ —TºC"¬‡ƒpƒ^[ƒ“‚ÉŠî‚­ƒlƒbƒgƒ[ƒN‚Ì—ÞŽ—\‘¢•ªÍ C"‘æ12‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2015jCAug.2015.
  94. –]ŒŽ ’œACìŒŽ“c ˆ©C‘å‹v•Û œ–ç, Ä“¡ ˜a–€C•“¡ L–ŸC“’£ —TºC“nç³ ‹M”VC"ŠÏŒõs“®ƒ‚ƒfƒŠƒ“ƒO‚Ì‚œ‚߂̃vƒ[ƒuƒp[ƒ\ƒ“ƒf[ƒ^‚ƈʒuî•ñ•t‚«SNS‚©‚ç“Ÿ‚ç‚ê‚œPOI‚Ì”äŠrC"ƒ}ƒ‹ƒ`ƒƒfƒBƒAC•ªŽUC‹Š’²‚ƃ‚ƒoƒCƒ‹ƒVƒ“ƒ|ƒWƒEƒ€iDICOMO2015jCJul.2015.
  95. •šŒ© ‘싱C²“¡ “NŽiCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒm[ƒh‹@”\‚É’…–Ú‚µ‚œ\‘¢•Ï‰»‚ɑ΂·‚é‰e‹¿“xŽw•WC"ƒ}ƒ‹ƒ`ƒƒfƒBƒAC•ªŽUC‹Š’²‚ƃ‚ƒoƒCƒ‹ƒVƒ“ƒ|ƒWƒEƒ€iDICOMO2015jCJul.2015.
  96. ’J ’ŒŽ÷C•—ŠÔ ˆê—mCå „ŽjC‹g“c Œõ’jCÄ“¡˜aŒÈÄ“¡ ˜a–€C"ˆÚ“®‘¬“xðŒ‚ðl—¶‚µ‚œƒWƒIƒ^ƒO•t‚«ƒcƒC[ƒg‚©‚ç‚ÌŒð’ʘH‚Ì’Šo‚Æ•ªÍC" ARG uWebƒCƒ“ƒeƒŠƒWƒFƒ“ƒX‚ƃCƒ“ƒ^ƒ‰ƒNƒVƒ‡ƒ“vŒ€‹†‰ï(ARG SIG-WI2)CJun.2015.
  97. ”ó‰ª ^Ø”üCÄ“¡ ˜a–€C‘å‹v•Û œ–çC’r“c “N•vC"‹Ãk«‚ÉŠî‚­’PŒêŒŸo–@‚É‚æ‚éŠÏŒõƒŒƒrƒ…[‹LŽ–‚Ì•ªÍC"‘æ12‰ñŠÏŒõî•ñŠw‰ï‘S‘‘å‰ïiSTI2015jCJun.2015.
  98. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"“Œvƒ‚ƒfƒ‹‚ÉŠî‚­ŠÏŒõƒXƒ|ƒbƒg‚Ì•]‰¿‚É‚š‚¯‚é‹óŠÔ“IM—ŠŒžŠƒpƒ‰ƒ[ƒ^‚̐„’èC"‘æ12‰ñŠÏŒõî•ñŠw‰ï‘S‘‘å‰ïiSTI2015jCJun.2015.
  99. —é–Ø —D‰ŸCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"Å–ސ„’è‚É‚æ‚郆[ƒUs“®•ªÍC"‘æ12‰ñŠÏŒõî•ñŠw‰ï‘S‘‘å‰ïiSTI2015jCJun.2015.
  100. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vC"Mean-shiftƒNƒ‰ƒXƒ^ƒŠƒ“ƒO‚É‚æ‚é—ÞŽ—ƒ†[ƒU•ªÍ–@‚Æ‚»‚̐«”\•]‰¿C"‘æ12‰ñŠÏŒõî•ñŠw‰ï‘S‘‘å‰ïiSTI2015jCJun.2015.
  101. —é–Ø —D‰ŸCÄ“¡ ˜a–€C"ƒnƒuEƒI[ƒ\ƒŠƒeƒBƒ‚ƒfƒ‹‚É‚æ‚éŽå—vƒXƒ|ƒbƒgE‘ã•\ƒ†[ƒU[’Šo–@C"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCJun.2015.
  102. –k“c „ŽmC•—ŠÔ ˆê—mCå „ŽjC’¹ŠC •s“ñ•vCŒIŒŽ ‘CŽÂ“c F—SC–ì“c ŒÜ\Ž÷CÄ“¡ ˜a–€C"“Œ“ú–{‘åkÐŽž‚̃cƒC[ƒg‚̃gƒsƒbƒNŒn—ñ‚̉Ž‹‰»‚Æ•ªÍC"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCMay.2015.
  103. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vCÂŽR ˆê¶C•ž•” ³ŽkC"ƒNƒGƒŠ•ª•z‚ðl—¶‚µ‚œ—ÞŽ—ŒŸõ‚̍‚‘¬‰»C"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCMay.2015.
  104. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"ˆÊ’uî•ñ‚ðl—¶‚µ‚œ“Œvƒ‚ƒfƒ‹‚ÉŠî‚­ŠÏŒõƒXƒ|ƒbƒg‚̃‰ƒ“ƒLƒ“ƒOŽè–@C"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCMay.2015.
  105. ‘匎 „ŽOCÄ“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C"M—Š“x‚‚«ƒMƒƒƒbƒv•ªÍ‚É‚æ‚éŽÐ‰ïƒlƒbƒgƒ[ƒN‚©‚ç‚̍‚’†S« ƒm[ƒhŒQ“¯’èC"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCMay.2015.
  106. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC²“¡ “NŽiC"PageRankŽû‘©‹Èü‚ð—p‚¢‚œƒRƒ~ƒ…ƒjƒeƒB“Á«‚Ì’è—ʉ»C"‘æ29‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2015jCMay.2015.
  107. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC"ƒAƒNƒZƒXƒƒOƒf[ƒ^‚Ì‹æŠÔ•ªŠ„‚ÉŠî‚­ƒ†[ƒUs“®•ªÍC"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  108. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"PageRankŽû‘©‹Èü‚ð—p‚¢‚œƒm[ƒh‘œ—l«‚Ì’è—ʉ»C"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  109. —é–Ø —D‰ŸC•šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"‰ñ—Vs“®ƒ‚ƒfƒ‹‚ÉŠî‚­d—vŠÏŒõƒXƒ|ƒbƒg’Šo–@C"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  110. Œ ‰Â“ìŽqC‰Á“¡ ãĎqCÄ“¡ ˜a–€C“’£ —TºC•“¡ L–ŸC‘å‹v•Û œ–çC"ƒAƒ“ƒP[ƒg’²ž‚É‚æ‚é‰ñ—Vs“®ƒ‚ƒfƒ‹‚Ì•]‰¿C"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  111. “¡–ì ‚Ü‚èØC²“¡ ˆÇ“ށC•šŒ© ‘싱CÄ“¡ ˜a–€C‘å‹v•Û œ–çC’r“c “N•vC"‹Ãk«‚ÉŠî‚­—L—p’PŒêŒŸo‚É‚æ‚éƒgƒŒƒ“ƒhƒ[ƒh‚Ì’Žß•t‚«‰ÂŽ‹‰»C"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  112. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C‘å‹v•Û œ–çC’r“c “N•vC"‹Ãk«‚ÉŠî‚­’Žß’PŒêŒŸo–@‚Æ‚»‚Ì•]‰¿C"î•ñˆ—Šw‰ï‘æ77‰ñ‘S‘‘å‰ïiIPSJ2015jCMar.2015.
  113. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC"ŽžŠÔŒžŠ‚ðl—¶‚µ‚œ“Œvƒ‚ƒfƒ‹‚ÉŠî‚­“®‰æ‚̃‰ƒ“ƒLƒ“ƒOŽè–@C"‘æ7‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2015jCMar.2015.
  114. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC²“¡ “NŽi, "PageRankŽû‘©‹Èü‚ð—p‚¢‚œƒlƒbƒgƒ[ƒN\‘¢•Ï‰»‚Ì’è—ʉ» C"‘æ7‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2015jCMar.2015.
  115. –k“c „ŽmC•—ŠÔ ˆê—mCå „ŽjC’¹ŠC •s“ñ•vCŒIŒŽ ‘CŽÂ“c F—SC–ì“c ŒÜ\Ž÷CÄ“¡ ˜a–€C"Twitter‚̃gƒsƒbƒN•Ï‘J‚̉Ž‹‰»–@‚Ì’ñˆÄ C"‘æ7‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2015jCMar.2015.
  116. ‰Á“¡ ãĎq, Ä“¡ ˜a–€, •—ŠÔ ˆê—mC"ŒÅ—LƒxƒNƒgƒ‹–@‚É‚æ‚é—ÞŽ—•¶‘’Šo, "‘æ6‰ñ ƒeƒLƒXƒgƒ}ƒCƒjƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€, Feb.2015.
  117. Ô’r—RŽ÷, ‘å‹v•Ûœ–ç, •“¡L–Ÿ, Ä“¡˜a–€,“n糋M”VC"GPU‚É‚æ‚éW‡”}‰î’†S«‚ÉŠî‚­ŠÅ””z’u–â‘è‚Ì•À—ñŒvŽZ, "‘æ12‰ñî•ñŠwƒ[ƒNƒVƒ‡ƒbƒv(WiNF2014), Nov.2014.
  118. ‰Á“¡ ãĎq, ¬—Ñ ‚Š‚è, “’£ —Tº, ‘å‹v•Û œ–ç, •“¡ L–Ÿ, Ä“¡ ˜a–€, ’r“c “N•vC"’nˆæ‰ñ—V‘£i‚ÉŒü‚¯‚œƒ†[ƒUs“®ƒ‚ƒfƒ‹, "‘æ103‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2014.
  119. •šŒ© ‘싱, Ä“¡ ˜a–€, •—ŠÔ ˆê—mC"PageRank‚ÉŠî‚­“®“Iƒlƒbƒgƒ[ƒN‚̍\‘¢•Ï‰»’Šo, "‘æ103‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2014.
  120. ‘匎 „ŽO, Ä“¡ ˜a–€, –Ø‘º ¹OCŒ³“c _C"ƒŠƒTƒ“ƒvƒŠƒ“ƒO–@‚ÉŠî‚­ƒMƒƒƒbƒv•ªÍ‚ð—p‚¢‚œ‚’†S«ƒm[ƒh‚Ì“¯’è, "‘æ103‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2014.
  121. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vC‘å‹v•Û œ–çC"L1–„‚ߍž‚Ý‚É‚æ‚éƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»–@C"‘æ7‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2014jCNov.2014.
  122. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC•—ŠÔ ˆê—mC"l‹C“x‚ðl—¶‚µ‚œd—vŠÏŒõƒXƒ|ƒbƒg’ŠoŽè–@ C"‘æ11‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2014jCSep.2014.
  123. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC" ‘œŒQ‡ˆÊ“Œv—Ê‚ÌŽžŒn—ñ•ªÍ‚ÉŠî‚­d—v“®‰æƒ^ƒO‚ÌŒŸoC"‘æ11‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2014jCSep.2014.
  124. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC" ‡ˆÊ“Œv—Ê‚ÉŠî‚­Šy‹È“®‰æ‚̃^ƒO•t‚¯ŒXŒü‚Ì•ªÍC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  125. “¡–ì ‚Ü‚èØC‰Á“¡ ãĎqCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC" ‘œ€•ª•z•Ï‰»“_ŒŸo–@‚É‚æ‚éTwitterã‚̃†[ƒU“®Œü•ªÍC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  126. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC" ‘o‘ÎSR–@‚É‚æ‚éTwitterƒf[ƒ^‚ÌŽž‹óŠÔƒo[ƒXƒgŒŸoC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  127. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC" ƒƒfƒBƒAƒ“‚ÉŠî‚­ŽžŒn—ñƒf[ƒ^‚̕ω»“_ŒŸo–@C"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  128. Œ ‰Â“ìŽqC‰Á“¡ ãĎqC‘å‹v•Û œ–çCÄ“¡ ˜a–€C" ƒŒƒrƒ…[CƒuƒƒOCƒ}ƒCƒNƒƒuƒƒOƒTƒCƒg‚̍‚ŽŸ”ƒ†[ƒU‚ÌŽ©ŒÈ’†Sƒgƒ‰ƒCƒAƒh•ªÍC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  129. —é–Ø —D‰ŸC•šŒ© ‘싱C•“¡ L–ŸCÄ“¡ ˜a–€C" ƒ†[ƒU•]“_ƒf[ƒ^‚É‚æ‚éƒlƒbƒgƒ[ƒN\‘¢„’èC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  130. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC" ƒƒgƒŠƒbƒN‹óŠÔƒIƒuƒWƒFƒNƒg‚ð‘ΏۂƂµ‚œ’†S«Žw•W‚Ì’ñˆÄC"‘æ13‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2014jCSep.2014.
  131. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC"A Comparison of Video Ranking Methods Based on a Time Series Analysis of Tags Using Multi-category Order Statistics, "ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2014jCAug. 2014.
  132. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"‘o‘ÎSR–@‚É‚æ‚鎞‹óŠÔƒo[ƒXƒgŒŸo, "ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2014jCAug. 2014.
  133. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vC‘å‹v•Û œ–çC"‰ÂŽ‹‰»Œ‹‰Ê‚ւ̃cƒŠ[•ªŠ„‚É‚æ‚éƒAƒmƒe[ƒVƒ‡ƒ“•t—^–@, "ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2014jCAug. 2014.
  134. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC•—ŠÔ ˆê—mC"“¹˜Hƒlƒbƒgƒ[ƒN‚ɑ΂·‚éŽÀ‹——£‚ð—p‚¢‚œ’†S«Žw•W‚Ì’ñˆÄ‚Ɖž—p, "ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN2014jCAug. 2014.
  135. ŽRŠÝ —SŒÈ, Ä“¡ ˜a–€, •“¡ L–ŸC"ƒ^ƒO•t‚¯ŒXŒü•ªÍ‚É‚æ‚éŠy‹È“®‰æƒ‰ƒ“ƒLƒ“ƒOŽè–@‚Ì”äŠr, "‘æ102‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Jul.2014.
  136. •šŒ© ‘싱, Ä“¡ ˜a–€, •“¡ L–ŸC’r“c “N•vC•—ŠÔ ˆê—mC"ŽÀ‹——£‚ðl—¶‚µ‚œd—vŠÏŒõƒXƒ|ƒbƒg‚Ì’Šo, "‘æ102‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Jul.2014.
  137. ¬—Ñ ‚Š‚è, •šŒ© ‘싱CÄ“¡ ˜a–€, ’r“c “N•vC"ƒcƒŠ[•ªŠ„‚É‚æ‚éƒAƒmƒe[ƒVƒ‡ƒ“‚̉Ž‹‰»–@, "‘æ102‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Jul.2014.
  138. ‹œŒÃ _“¹C•šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC" Ž©“®ŽÔŽY‹Æ‚É‚š‚¯‚éƒoƒŠƒ…[ƒ`ƒF[ƒ“‚ÆŠé‹Æ‘®«‚ÌŠÖŒWC" “ú–{Œo‰cHŠw‰ï2014”Nt‹G‘å‰ïiJIMA2014jCMay.2014.
  139. ‘匎 „ŽOCÄ“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C" ŽÐ‰ïƒlƒbƒgƒ[ƒNã‚Ì‹­‰e‹¿“xƒm[ƒh“¯’è‚Ì‚œ‚߂̃ŠƒTƒ“ƒvƒŠƒ“ƒO‚ÉŠî‚­—\‘ªƒVƒ~ƒ…ƒŒ[ƒVƒ‡ƒ“–@‚Ì’ñˆÄC"‘æ28‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2014jCMay.2014.
  140. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" “Œvƒ‚ƒfƒ‹‚ÉŠî‚­Šy‹È“®‰æ‚Ì•]‰¿„ˆÚ•ªÍC"‘æ28‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2014jCMay.2014.
  141. ¬—Ñ ‚Š‚èCÄ“¡ ˜a–€C’r“c “N•vC" ¬‡‹——£’è‹`‚ÉŠî‚­ˆê”ʉ»ƒsƒ{ƒbƒg–@‚Ì’ñˆÄ‚Æ‚»‚Ì•]‰¿C"‘æ28‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2014jCMay.2014.
  142. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC" •”•ªî•ñ‚©‚ç‚̘AŒ‹«‚ð•ÛØ‚µ‚œƒlƒbƒgƒ[ƒN\‘¢„’èC"‘æ28‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2014jCMay.2014.
  143. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC²“¡ “NŽiC" ‘œd—LŒüƒRƒA’Šo–@‚É‚æ‚éTwitterƒf[ƒ^‚̐kÐŽž‚ƒʏ펞‚Ì“Á«”äŠrC"î•ñˆ—Šw‰ï ‘æ76‰ñ‘S‘‘å‰ïiIPSJ2014jCMar.2014.
  144. ƒuƒCEƒXƒAƒ“EƒtƒHƒ“, åŒŽ Œ¹ŠîCã–ì —YŽjCÄ“¡ ˜a–€C" Mantegna–@‚ÉŠî‚­Še‘Š”‰¿ƒf[ƒ^‚̋Ǝ퓯—Þ“x•ªÍC"î•ñˆ—Šw‰ï ‘æ76‰ñ‘S‘‘å‰ïiIPSJ2014jCMar.2014.
  145. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC" ƒm[ƒh‘®«‚ð—p‚¢‚œ“Á’¥“IƒŠƒ“ƒNŒXŒü•ªÍC"î•ñˆ—Šw‰ï ‘æ76‰ñ‘S‘‘å‰ïiIPSJ2014jCMar.2014.
  146. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ŽžŒn—ñƒf[ƒ^‚É‚š‚¯‚镪Š„‹æŠÔ’Tõ–@‚̐«”\”äŠrC"î•ñˆ—Šw‰ï ‘æ76‰ñ‘S‘‘å‰ïiIPSJ2014jCMar.2014.
  147. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" “Œvƒ‚ƒfƒ‹‚ÉŠî‚­Šy‹È“®‰æ‚̃‰ƒ“ƒLƒ“ƒOŽè–@C"‘æ6‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2014jCMar.2014.
  148. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•v, " ˆê”ʉ»ƒsƒ{ƒbƒg–@‚Ì‹——£’è‹`‚É‚æ‚é“Á«•]‰¿C"‘æ6‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2014jCMar.2014.
  149. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC‹œŒÃ _“¹, " Šé‹ÆŠÔŽæˆø‚̃‚ƒfƒ‹‰»‚ÖŒü‚¯‚œ•t‰Á—Ê—Š„’è–@C"‘æ6‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2014jCMar.2014.
  150. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC"`ƒŒƒrƒ…[•]“_ŽžŒn—ñƒf[ƒ^‚̕ω»“_‚ÉŠî‚­ƒAƒCƒeƒ€‚ƃ†[ƒU‚Ì•ªÍC"‘æ6‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2013jCNov.2013.
  151. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC²“¡ “NŽiC"MDSR–@‚ð—p‚¢‚œreplyƒcƒC[ƒgƒlƒbƒgƒ[ƒN‚Ì“Á«•ªÍC"‘æ6‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2013jCNov.2013.
  152. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC"ƒ}ƒ“ƒnƒbƒ^ƒ“‹——£‚ÉŠî‚­ˆê”ʉ»ƒsƒ{ƒbƒgŒvŽZ–@C"‘æ6‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2013jCNov.2013.
  153. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒGƒSƒZƒ“ƒgƒŠƒbƒNî•ñ‚©‚ç‚̃lƒbƒgƒ[ƒN\‘¢„’èC"‘æ6‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2013jCNov.2013.
  154. •“¡ L–Ÿ, Ä“¡ ˜a–€C"‡ˆÊ’P’²ŽÊ‘œ‚ÉŠî‚­‘œŒQ‡ˆÊ“Œv—Ê‚ÆŠé‹ÆŠÔŽæˆø‚ւ̉ž—pC"‘æ100‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Oct.2013.
  155. –Ø‘º —B, Ä“¡ ˜a–€, •“¡ L–ŸC"Z-ƒXƒRƒA‚ÉŠî‚­ƒAƒCƒeƒ€ƒ‰ƒ“ƒLƒ“ƒO‚̃uƒNƒƒOƒTƒCƒg‚Å‚Ì•]‰¿, "‘æ100‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Oct.2013.
  156. ¬—Ñ ‚Š‚è, •šŒ© ‘싱CÄ“¡ ˜a–€, ’r“c “N•vC"ƒ}ƒ“ƒnƒbƒ^ƒ“‹——£‚ÉŠî‚­ˆê”ʉ»ƒsƒ{ƒbƒg‚É‚æ‚éƒIƒuƒWƒFƒNƒg‰ÂŽ‹‰», "‘æ100‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Oct.2013.
  157. •šŒ© ‘싱, Ä“¡ ˜a–€, •—ŠÔ ˆê—mC"ƒm[ƒh‹@”\‚©‚ç‚̃lƒbƒgƒ[ƒN\‘¢„’è, "‘æ100‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Oct.2013.
  158. ‰Á“¡ ãĎqC‘å‹v•Û œ–çCÄ“¡ ˜a–€C" Twitter‚Ìreply‚ÆretweetŠÖŒW‚©‚ç‚Ȃ鐬’·ƒlƒbƒgƒ[ƒN‚Ì”äŠr•ªÍC"‘æ12‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2013jCSep.2013.
  159. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•“¡ L–ŸC" ƒm[ƒh‘I‘ðŠm—Š‚ðl—¶‚µ‚œ’†S«Žw•W‚ÌŠg’£C"‘æ12‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2013jCSep.2013.
  160. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC" ƒ\[ƒg‚ð—˜—p‚µ‚œ‚k‚Pƒmƒ‹ƒ€‘˜aŒvŽZ‚É‚æ‚éƒsƒ{ƒbƒg‘I‘ð‚̍‚‘¬‰»C"‘æ12‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2013jCSep.2013.
  161. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC" ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚éˆÙíŒŸo‚ð—p‚¢‚œd—vƒ†[ƒU‘I’è–@C"‘æ12‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2013jCSep.2013.
  162. ™àV —D”nC•šŒ© ‘싱CÄ“¡ ˜a–€C" ŽžŒn—ñ•Ï‰»“_‚َ̈펞Œn—ñ‚ւ̉e‹¿“x•ªÍC"‘æ12‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2013jCSep.2013.
  163. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C•“¡ L–ŸC" ƒŒƒrƒ…[•]“_ŽžŒn—ñƒf[ƒ^‚̕ω»“_‚ÉŠî‚­d—vƒ†[ƒU‘I’è–@C"‘æ10‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2013jCSep.2013.
  164. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC" ˆê”ʉ»ƒsƒ{ƒbƒgŒvŽZ‚̍‚‘¬‰»‚Æ“Á«•]‰¿C"‘æ10‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2013jCSep.2013.
  165. ‰Á“¡ ãĎqC‘å‹v•Û œ–çCÄ“¡ ˜a–€C" ƒgƒ‰ƒCƒAƒhŒW”‚ð—p‚¢‚œTwitter‚Ìreply‚ÆRTƒlƒbƒgƒ[ƒN‚ÌŽžŒn—ñ•ªÍC"‘æ10‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2013jCSep.2013.
  166. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC" ŒžŠ•t‚«‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚É‚æ‚éƒnƒuƒm[ƒh‚̏ڍוª—ށC"‘æ10‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2013jCSep.2013.
  167. ²“¡ ˆÇ“ށC•šŒ© ‘싱C‘å‹v•Û œ–çCÄ“¡ ˜a–€C•—ŠÔ ˆê—m" oŒ»ƒcƒC[ƒgŒQ‚Ì—ÞŽ—“x‚ÉŠî‚­ƒgƒŒƒ“ƒhƒ[ƒh‚̃^ƒCƒ€ƒ‰ƒCƒ“‰ÂŽ‹‰»C"‘æ10‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2013jCSep.2013.
  168. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC"ƒlƒbƒgƒ[ƒNƒRƒ~ƒ…ƒjƒeƒB‚Ì“Á«‚ð—p‚¢‚œƒƒ^ƒNƒ‰ƒXƒ^ƒŠƒ“ƒO, "ƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN'13jCAug. 2013.
  169. Ä“¡ ˜a–€C–Ø‘º ¹OC‘匎 „ŽOCŒ³“c _C" ƒ\[ƒVƒƒƒ‹ƒlƒbƒgƒ[ƒNã‚ł̉e‹¿‚ðÅ‘剻‚·‚éƒ^[ƒQƒbƒgƒm[ƒhC"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  170. ‘匎 „ŽOCÄ“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C" Twitterã‚̏î•ñŠgŽUŒn—ñ‚©‚ç‚̕ω»“_ŒŸoC"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  171. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC" î•ñŠgŽU‰e‹¿“x‚ÉŠî‚­‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@C"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  172. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C" ‘œd—LŒüƒlƒbƒgƒ[ƒN¬’·ƒ‚ƒfƒ‹‚Ì“Á«‰ðÍC"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  173. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚éˆÙŽíî•ñ‚ÉŠî‚­•Ï‰»“_ŒŸo–@C"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  174. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC" ŠæŒ’üŒ`ŽË‰e–@‚Ì“Á«•]‰¿C"‘æ27‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2013jCJun.2013.
  175. ‹œŒÃ _“¹CÄ“¡ ˜a–€C•“¡ L–Ÿ, "Šé‹ÆŠÔŽæˆøƒf[ƒ^‚©‚ç‚̐Ǝ㐫’ŠoC"ŽÐ‰ïƒVƒXƒeƒ€‚Əî•ñ‹ZpŒ€‹†ƒEƒB[ƒNiWSSIT13jCMar.2013.
  176. ¬o –ŸOCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC’¹ŠC •s“ñ•vC" î•ñŠgŽUƒ‚ƒfƒ‹‚ð—p‚¢‚œ’Ž”}‰îŽÒŒŸo–@C"ŽÐ‰ïƒVƒXƒeƒ€‚Əî•ñ‹ZpŒ€‹†ƒEƒB[ƒNiWSSIT13jCMar.2013.
  177. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC‘å‹v•Û œ–çC" Mixing Matrix‚ÉŠî‚­ŠK‘w•t‚«ƒJƒeƒSƒŠƒJƒ‹ƒf[ƒ^‚̉Ž‹‰»–@C"î•ñˆ—Šw‰ï ‘æ75‰ñ‘S‘‘å‰ïiIPSJ2013jCMar.2013.
  178. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C’r“c “N•vC" ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚郆[ƒUŠÔ‚Ì“®“I—ÞŽ—“x•ªÍC"î•ñˆ—Šw‰ï ‘æ75‰ñ‘S‘‘å‰ïiIPSJ2013jCMar.2013.
  179. •šŒ© ‘싱CÄ“¡ ˜a–€C‹œŒÃ _“¹, " ZƒXƒRƒA‚ð—p‚¢‚œƒIƒuƒWƒFƒNƒgŠÔŠÖŒW‚ÌŒø‰Ê“I‰ÂŽ‹‰»–@C"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013jCMar.2013.
  180. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚郆[ƒUŠÔ—ÞŽ—“x•ªÍC"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013jCMar.2013.
  181. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C" ‚‘œd“x—LŒüƒlƒbƒgƒ[ƒN¬’·ƒ‚ƒfƒ‹‚Ì’ñˆÄC"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013\jCMar.2013.
  182. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•v, " ƒIƒuƒWƒFƒNƒg‰ÂŽ‹‰»‚Æ—ÞŽ—ŒŸõ«”\‚É‚æ‚éŠæŒ’üŒ`ŽË‰e–@‚Ì•]‰¿C"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013jCMar.2013.
  183. ™àV —D”nCƒuƒCEƒXƒAƒ“EƒtƒHƒ“, •šŒ© ‘싱CÄ“¡ ˜a–€C" `•Ï‰»“_ŒŸo–@‚ÉŠî‚­‹ÆŽí•ÊŽÐ‰ï“I‰e‹¿•ªÍ'C"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013\jCMar.2013.
  184. –Ø‘º —BC•šŒ© ‘싱, Ä“¡ ˜a–€C" ŽžŠÔŒžŠƒ_ƒCƒiƒ~ƒNƒX‚𓱓ü‚µ‚œƒ‚ƒfƒ‹‚É‚æ‚éˆÓŒ©Œ`¬‚ƃ†[ƒU“ŠeŠÔŠu‚Ì•ªÍC"‘æ5‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2013jCMar.2013.
  185. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•—ŠÔ ˆê—mC" “¹˜Hƒlƒbƒgƒ[ƒN‚Å‚Ì‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo‚É‚æ‚é’nˆæ“Á«•ªÍC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  186. ¬o –ŸOCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC’¹ŠC •s“ñ•vCŒ”ö ^lC" kÐŽž‚É‚š‚¯‚鍂‰e‹¿—̓†[ƒU‚Ì“Á«•ªÍC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  187. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C" ƒIƒ“ƒ‰ƒCƒ“ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚é“ŠeŠÔŠu•ªÍC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  188. ƒuƒCEƒXƒAƒ“EƒtƒHƒ“, ã–ì —YŽj, åŒŽ Œ¹ŠîCÄ“¡ ˜a–€C" Š”‰¿•Ï“®‚̃lƒbƒgƒ[ƒN•ªÍC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  189. ‰Á“¡ ãĎqCÄ“¡ ˜a–€C" ƒŠƒ“ƒN—Dæ‘I‘ð‚ð•t—^‚µ‚œšnDƒlƒbƒgƒ[ƒN¬’·ƒ‚ƒfƒ‹‚Ì’ñˆÄC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  190. –Ø‘º —B, •šŒ© ‘싱CÄ“¡ ˜a–€C" ƒŒƒrƒ…[ƒTƒCƒg‚É‚æ‚鎞ŠÔŒžŠƒ_ƒCƒiƒ~ƒNƒX‚ðŽ‚ÂTDVƒ‚ƒfƒ‹‚Ì•]‰¿C"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  191. ¬—Ñ ‚Š‚èC•šŒ© ‘싱CÄ“¡ ˜a–€C" ƒIƒuƒWƒFƒNƒgŠÔ‚Ì”ñ—ÞŽ—“x‚̈Ⴂ‚É‚æ‚é‘S‘Ì—ÞŽ—“x\‘¢‚Ì•ªÍC"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  192. ™àV —D”nC•šŒ© ‘싱CÄ“¡ ˜a–€C" Š”‰¿ŽžŒn—ñƒf[ƒ^‚É‚æ‚é•Ï‰»“_ŒŸo–@‚Ì•]‰¿C"‘æ9‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€iNETECO2012jCDec.2012.
  193. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"ƒIƒ“ƒ‰ƒCƒ“ƒŒƒrƒ…[ƒTƒCƒg‚É‚š‚¯‚郌ƒrƒ…[•Ï‰»“_ŒŸo–@C"‘æ5‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2012jCNov.2012.
  194. ¬o –ŸOCÄ“¡ ˜a–€C’¹ŠC •s“ñ•vC•—ŠÔ ˆê—mCŒ”ö ^l"ƒfƒ“ƒhƒƒOƒ‰ƒ€‚ð—p‚¢‚œkÐŽž‚É‚š‚¯‚éMentionEHashtagƒcƒC[ƒg‚Ì—˜—pŒXŒü•ªÍC"‘æ5‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2012jCNov.2012.
  195. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c“N•vC•—ŠÔ ˆê—mCŒ”ö^l"ŒÂX‚̃m[ƒh‚ÌŽ‹“_‚ÉŠî‚­‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@C"‘æ5‰ñWeb‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB2012jCNov.2012.
  196. ‘匎 „ŽO, Ä“¡ ˜a–€, –Ø‘º ¹O, Œ³“c _, "ŽÐ‰ïƒlƒbƒgƒ[ƒN‚̍\‘¢“I“Á’¥—ʂƏî•ñŠgŽUƒ‚ƒfƒ‹‚É‚š‚¯‚éŠú‘Ò‰e‹¿“x‚ÌŠÖŒW‚ɂ‚¢‚Ä, "‘æ97‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2012.
  197. ¬o –ŸO, Ä“¡ ˜a–€, "ƒ}ƒCƒNƒƒuƒƒO,ƒEƒFƒuƒƒO,ƒŒƒrƒ…[ƒTƒCƒg‚̃lƒbƒgƒ[ƒN\‘¢”äŠr, "‘æ97‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2012.
  198. ‰Á“¡ ãĎq, •šŒ© ‘싱, ¬o –ŸO, Ä“¡ ˜a–€, Œ³“c _, "Twitter‚Ì3‹@”\‚ð—p‚¢‚œƒlƒbƒgƒ[ƒN•ªÍ, "‘æ97‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2012.
  199. •šŒ© ‘싱, Ä“¡ ˜a–€, ’r“c “N•v, •—ŠÔ ˆê—m, "—LŒüƒlƒbƒgƒ[ƒN‚É‚š‚¯‚é‹@”\ƒRƒ~ƒ…ƒjƒeƒB‚Ɗ挒«, "‘æ97‰ñ ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï (SIG-KBS), Nov.2012.
  200. ã–ì —YŽjCƒuƒCEƒXƒAƒ“EƒtƒHƒ“C‘åX ”üC•šŒ© ‘싱CåŒŽ Œ¹ŠîC’Ÿ ™¢‰pCÄ“¡ ˜a–€C"Š”‰¿•Ï“®‚Ì—ÞŽ—«‚ÉŠÖ‚·‚镪ÍC"“ú–{s“®Œv—ÊŠw‰ï ‘æ40‰ñ‘å‰ï, (BSJ2012)CSep.2012.
  201. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C‘å‹v•Û œ–ç, "‹ÇŠ‰ü‘P–@‚É‚æ‚郌ƒrƒ…[•Ï‰»“_ŒŸo–@C"‘æ11‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2012jCSep.2012.
  202. ¬o –ŸOC‚‹Ž —F”üCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC’¹ŠC •s“ñ•vC"MentionƒcƒC[ƒg‚©‚ç‚̃o[ƒXƒgŠúŠÔ‚Ì’ŠoC"‘æ11‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2012jCSep. 2012.
  203. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC’r“c “N•vC"—LŒüƒlƒbƒgƒ[ƒN‚É‚š‚¯‚é‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚ÌŒŸØ, "‘æ8‰ñƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN'12jCAug. 2012.
  204. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C"VOCALOIDŠy‹È‚Ì•]‰¿–@‹y‚ѐ„‘E–@C"î•ñˆ—Šw‰ï‰¹Šyî•ñ‰ÈŠwŒ€‹†‰ï‘æ96‰ñŒ€‹†‰ïiIPSJ-SIGMUS96jCAug.2012.
  205. ¬o –ŸOCÄ“¡ ˜a–€C•—ŠÔ ˆê—mC’¹ŠC •s“ñ•vC"ƒRƒŠƒ“ƒN\‘¢‚É’…–Ú‚µ‚œ‘œdƒOƒ‰ƒt‚Ì•ªÍ–@C"‘æ3‰ñƒ\[ƒVƒƒƒ‹ƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€iSoC2012jCJune. 2012.
  206. ‘匎 „ŽOCÄ“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C"î•ñŠgŽUƒ‚ƒfƒ‹‚ÉŠî‚­ƒcƒB[ƒgŒn—ñ‚©‚ç‚̃o[ƒXƒgŠúŠÔŒŸoC"‘æ3‰ñƒ\[ƒVƒƒƒ‹ƒRƒ“ƒsƒ…[ƒeƒBƒ“ƒOƒVƒ“ƒ|ƒWƒEƒ€iSoC2012jCJune.2012.
  207. ‘匎 „ŽO, Ä“¡ ˜a–€C–Ø‘º ¹OCŒ³“c _C"î•ñŠgŽUƒ‚ƒfƒ‹‚É‚š‚¯‚é“üoŽŸ”‘ŠŠÖ‚ÆŠú‘Ò‰e‹¿“x‚ÌŠÖŒW‚ɂ‚¢‚āC"‘æ26‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune.2012.
  208. –Ø‘º ¹OCÄ“¡ ˜a–€C‘匎 „ŽOCŒ³“c _C"ŽžŠÔŒžŠƒ_ƒCƒiƒ~ƒNƒX‚ð‚à‚“Š•[ŽÒƒ‚ƒfƒ‹‚É‚æ‚éˆÓŒ©Œ`¬C"‘æ26‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune.2012.
  209. •šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•vC•“¡ L–ŸC"’†S«‚ÉŠî‚­‘å‹K–̓lƒbƒgƒ[ƒN‘eŽ‹‰»–@‚Ì’ñˆÄC"‘æ26‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune. 2012.
  210. ¬o –ŸOCÄ“¡ ˜a–€C’·‰® —²”VCˆÉ“¡ Œ’“ñC"ƒlƒbƒgƒ[ƒN‘eŽ‹‰»‚É‚æ‚éî•ñŠgŽU‰ß’ö‚̉Ž‹‰»–@C"‘æ26‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune.2012.
  211. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C‘å‹v•Û œ–çC"ƒŒƒrƒ…[ŽžŒn—ñƒf[ƒ^‚©‚ç‚Ì•ªŠ„“Ž¡‚É‚æ‚é•Ï‰»“_ŒŸo–@C"‘æ26‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune.2012.
  212. ‰Á“¡ ãĎqC¬o –ŸOC•šŒ© ‘싱CÄ“¡ ˜a–€C"ƒWƒjŒW”‚É‚æ‚é‘œd—LŒüƒOƒ‰ƒt‚Æ‚µ‚Ä‚ÌFavoritesƒlƒbƒgƒ[ƒN‚Ì•ªÍC"‘æ24‰ñlH’m”\Šw‰ï‘S‘‘å‰ïiJSAI2012jCJune.2012.
  213. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC"“¹˜H–Ô‚É‚š‚¯‚éŠÅ””z’u–â‘è‚̃‚ƒfƒ‹‰»‚ÆŒø—Š“I‰ð–@C"‘æ74‰ñî•ñˆ—Šw‰ï‘S‘‘å‰ïiIPSJ2012jCMar. 2012.
  214. ¬o –ŸOCÄ“¡ ˜a–€C‘å‹v•Û œ–çC’¹ŠC •s“ñ•vC•—ŠÔ ˆê—mC"Twitter‚Ì@message‚ō\¬‚³‚ê‚鐬’·ƒlƒbƒgƒ[ƒN‚Ì•ªÍC"‘æ74‰ñî•ñˆ—Šw‰ï\‘S‘‘å‰ïiIPSJ2012jCMar. 2012.
  215. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC"ƒm[ƒhW‡‚ɑ΂·‚é”}‰î’†S«‚Ì’ñˆÄC"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  216. ŽO’ÃŽR ‰ë‹KCÄ“¡ ˜a–€C’r“c “N•vC‘å‹v•Û œ–çC•“¡ L–Ÿ"‘å‹K–̓f[ƒ^‚É‚š‚¯‚é’€ŽŸ“ü‚ê‘Ö‚Š‚É‚æ‚éƒsƒ{ƒbƒg‰ü‘P‘I‘ð–@C"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  217. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C‘å‹v•Û œ–çC"ƒIƒ“ƒ‰ƒCƒ“ƒŒƒrƒ…[ƒTƒCƒg‚Ì•]“_ŽžŒn—ñƒf[ƒ^‚©‚ç‚ُ̈팟oC"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  218. ‘åX ”üC•šŒ© ‘싱CÄ“¡ ˜a–€C"•ÒW‹——£‚É‚š‚¯‚éƒAƒmƒe[ƒVƒ‡ƒ“•t‚«‰ÂŽ‹‰»–@‚Ì’ñˆÄC"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  219. ‰Á“¡ ãĎqC•šŒ© ‘싱CÄ“¡ ˜a–€C"Twitter‚ÌFavorite‹@”\‚ð—p‚¢‚œƒ†[ƒU[šnD•ªÍC"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  220. ‚‹Ž —F”üC¬o –ŸOC•šŒ© ‘싱CÄ“¡ ˜a–€C"Twitter‚ÌHashtag‚É’…–Ú‚µ‚œŽÐ‰ï‰e‹¿•ªÍC"‘æ4‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2012jCMar. 2012.
  221. ¬o –ŸOCÄ“¡ ˜a–€C’¹ŠC •s“ñ•vC•—ŠÔ ˆê—mC"ƒtƒHƒ[—ÞŽ—“x‚É‚æ‚éTwitter‚ŽŸ”ƒ†[ƒU‚ÌŠÖŒW•ªÍC"‘æ3‰ñW‡’mƒVƒ“ƒ|ƒWƒEƒ€iSIG-NLCjCFeb. 2012.
  222. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"ƒlƒbƒgƒ[ƒN‹@”\ƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚Ì’ñˆÄC"Web‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iWebDB Forum2011jCNov. 2011.
  223. ’r“c “N•vC•“¡ L–ŸCÄ“¡ ˜a–€C•šŒ© ‘싱C"•¡ŽGƒlƒbƒgƒ[ƒN•ªÍŽè–@‚É‚æ‚铹˜H–Ô‚Ì•ªÍC"’n—î•ñƒVƒXƒeƒ€Šw‰ï‘æ20‰ñŒ€‹†”­•\‘å‰ïiGISA2011jCOct. 2011.
  224. •šŒ© ‘싱CÄ“¡ ˜a–€C•—ŠÔ ˆê—mC"PageRank‰e‹¿“x‹Èü‚É‚æ‚éƒRƒ~ƒ…ƒjƒeƒB’Šo–@‚Ì’ñˆÄC"‘æ7‰ñƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN'11jCSep. 2011.
  225. ‹v•Û“c ‘å˜aC•šŒ© ‘싱CÄ“¡ ˜a–€C"d‚Ý•t‚«‚Q•”ƒOƒ‰ƒt‚̉Ž‹‰»–@C"‘æ7‰ñƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN'11jCSep. 2011.
  226. ŽRŠÝ —SŒÈCÄ“¡ ˜a–€C‘匎 „ŽOC–Ø‘º ¹OCŒ³“c _C"ƒm[ƒh‘®«‚ðl—¶‚µ‚œˆÓŒ©Œ`¬ƒ‚ƒfƒ‹‚É‚š‚¯‚éŠú‘Ò‰e‹¿“x‚̐„’èC"‘æ7‰ñƒlƒbƒgƒ[ƒN‚ª‘n”­‚·‚é’m”\Œ€‹†‰ïiJWEIN'11jCSep.2011.
  227. •šŒ© ‘싱CÄ“¡ ˜a–€C•“¡ L–ŸC’r“c “N•vC"ŽÐ‰ïƒlƒbƒgƒ[ƒN‚É‚š‚¯‚é’†S«‚Ì’è—Ê“I‚Ȋ挒«•]‰¿–@‚Ì’ñˆÄC"‘æ73‰ñî•ñˆ—Šw‰ïiIPSJ2011jCMar. 2011.
  228. ‹v•Û“c ‘å˜aC•šŒ© ‘싱CÄ“¡ ˜a–€C"“ñ•”ƒOƒ‰ƒt‰ÂŽ‹‰»–@‚̍‚‘¬‰»C"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCMar. 2011.
  229. ”’‰ê ¹GC•šŒ© ‘싱C‘å‹v•Û œ–çC•“¡ L–ŸCÄ“¡ ˜a–€C"‘åŠwƒTƒCƒgƒ‚ƒ`[ƒt‚Ì—ÞŽ—ƒlƒbƒgƒ[ƒN‚É‚æ‚镪ÍC"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  230. —é–Ø aŒáC•šŒ© ‘싱CÄ“¡ ˜a–€C’r“c “N•v"ƒsƒ{ƒbƒg‚ð—p‚¢‚œ—ÞŽ—“xƒf[ƒ^‚̉Ž‹‰»–@C"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  231. ‘ºŒ —DìC•—ŠÔ ˆê—mCÄ“¡ ˜a–€C"ƒŒƒrƒ…[—ÞŽ—“x‚É‚æ‚éƒlƒbƒgƒ[ƒN\‘¢•ªÍC"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  232. ŽRŠÝ —SŒÈC•—ŠÔ ˆê—mCÄ“¡ ˜a–€C"ƒm[ƒh‘®«‚ðl—¶‚µ‚œî•ñŠgŽU‰e‹¿“x‚̐„’èC"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  233. •šŒ© ‘싱C‘å‹v•Û œ–çC•“¡ L–ŸCÄ“¡ ˜a–€C"ƒŠƒ“ƒN’£‘ւɑ΂·‚郂ƒ`[ƒt‰ðÍ‚̊挒«•]‰¿C"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  234. ŽO’ÃŽR‰ë‹KC•“¡L–ŸCÄ“¡ ˜a–€C’r“c“N•v"—ÞŽ—ŒŸõ‚É‚š‚¯‚é’x‰„•]‰¿‚ð—p‚¢‚œƒsƒ{ƒbƒg‘I‘ð‚̍‚‘¬‰»C"ƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2011jCFeb. 2011.
  235. ŽRè ³W, ŒF–ì ‰ëm, ¬–ì ŒiŽq, –Ø‘º ¹O, Ä“¡ ˜a–€, ‘匎 „ŽO, Œ³“c _, "•¡ŽGƒlƒbƒgƒ[ƒNî•ñ‹óŠÔ‚Ì–v“üŒ^ƒCƒ“ƒ^ƒ‰ƒNƒeƒBƒu‰ÂŽ‹‰»ƒVƒXƒeƒ€, " î•ñˆ—Šw‰ï ‘æ81‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆ(MPS)Œ€‹†‰ï, Dec. 2010.
  236. “‡“c —@, ¬o –ŸO, Ä“¡ ˜a–€, ²“¡ “NŽi, "QA2•”ƒOƒ‰ƒt‚É‚š‚¯‚郂ƒ`[ƒt‚ð—p‚¢‚œƒRƒ~ƒ…ƒjƒeƒB‚ÌŒoŽž“I•Ï‰»‚ÉŠÖ‚·‚镪Í ," ‘æ3‰ñ’mŽ¯‹€—LƒRƒ~ƒ…ƒjƒeƒBƒ[ƒNƒVƒ‡ƒbƒv, Dec. 2010.
  237. •šŒ© ‘싱, ‹gì —F–ç, Ä“¡ ˜a–€, –Ø‘º ¹O, Œ³“c _, ‘匎 „ŽO, "‘åˆæÌ—p•t‚«Voter Model‚Ì’ñˆÄ ," Web‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2010) , Nov. 2010.
  238. ¬o –ŸO, Ä“¡ ˜a–€, ²“¡ “NŽi, "ƒ‚ƒ`[ƒt‚É‚æ‚éQA“ñ•”ƒOƒ‰ƒt‚̍\‘¢•ªÍ," Web‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2010) , Nov. 2010.
  239. ‹gì —F–ç, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, ‘匎 „ŽO, "’PˆêŠgŽUŒn—ñ‚©‚ç‚ÌŠú‘Ò‰e‹¿“x‹Èü‚̐„’è," ‘æ9‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2010j, Sep. 2010.
  240. ¬o –ŸO, ŠO‰ª ’B–ç, Ä“¡ ˜a–€, ÂŽR ˆê¶, àV“c G, ã“c CŒ÷, "ƒIƒuƒWƒFƒNƒgW‡‚Ɉˑ¶‚µ‚œRNG‚Ì“Á«•ªÍ," ‘æ9‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2010j, Sep. 2010.
  241. •šŒ© ‘싱, Ä“¡ ˜a–€, –Ø‘º ¹O, ‘匎 „ŽO, Œ³“c _, "ˆê—lÌ—p•t‚«Voter Model‚Ì’ñˆÄ," ‘æ9‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2010j, Sep. 2010.
  242. ŠO‰ª ’B–ç, ¬o –ŸO, Ä“¡ ˜a–€, ÂŽR ˆê¶, àV“c G, ã“c CŒ÷, "ƒlƒbƒgƒ[ƒN\‘¢‚É‚æ‚é—ÞŽ—’Tõ«”\‚Ì•ªÍ–@‚Ì’ñˆÄ," ‘æ9‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2010j, Sep. 2010.
  243. Ä“¡ ˜a–€, –Ø‘º ¹O, ‘匎 „ŽO, Œ³“c _, "Behavioral Analyses of Information Diffusion Models by Observed Data of Social Network ," (JWEIN10) , Aug. 2010.
  244. –Ø‘º ¹O, Ä“¡ ˜a–€, ‘匎 „ŽO, Œ³“c _, "Learning to Predict Opinion Share in Social Networks ," (JWEIN10) , Aug. 2010.
  245. ‰i“c ‘å, “üŒŽ ‘ì–ç, •šŒ© ‘싱, Ä“¡ ˜a–€, ’r“c “N•v, •“¡ L–Ÿ, "ƒlƒbƒgƒ[ƒN\‘¢‚̈Ⴂ‚É‚æ‚ék-ƒƒfƒBƒAƒ“’Tõ•û–@‚Ì“Á«•]‰¿" î•ñˆ—Šw‰ï‘n—§50Žü”N‹L”O‘S‘‘å‰ïiIPSJ2010j, Mar. 2010.
  246. •šŒ© ‘싱, “üŒŽ ‘ì–ç, ‰i“c ‘å, Ä“¡ ˜a–€, ’r“c “N•v, •“¡ L–Ÿ, "ŽŸ”•s•Ï‚̃lƒbƒgƒ[ƒN’£‚è‘Ö‚Š‚Å‚Ì’†S«‚̊挒«•]‰¿," î•ñˆ—Šw‰ï‘n—§50Žü”N‹L”O‘S‘‘å‰ïiIPSJ2010j, Mar. 2010.
  247. ¬o –ŸO, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, ‘匎„ŽO, "ŽžŠÔ’x‚êƒpƒ‰ƒ[ƒ^•t‚«SISƒ‚ƒfƒ‹‚ÌŠú‘Ò‰e‹¿“x•ªÍ," î•ñˆ—Šw‰ï‘n—§50Žü”N‹L”O‘S‘‘å‰ïiIPSJ2010j, Mar. 2010.
  248. ‹gì —F–ç, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, ‘匎„ŽO, "ŠgŽUƒf[ƒ^‚©‚ç‚̃‚ƒfƒ‹„’è‚É‚æ‚éŠú‘Ò‰e‹¿“x‚Ì—\‘ª," î•ñˆ—Šw‰ï‘n—§50Žü”N‹L”O‘S‘‘å‰ïiIPSJ2010j, Mar. 2010.
  249. ²“¡ OŽ÷, “‡“c —@, •šŒ© ‘싱, •ŸŒŽ ’mG, Ä“¡ ˜a–€, ²“¡ “NŽi, "’mŽ¯‹€—LƒTƒCƒg‚É‚š‚¯‚éŽQ‰ÁŽÒ‚̍vŒ£“x‚É’…–Ú‚µ‚œƒRƒ~ƒ…ƒjƒeƒB•ªÍŽè–@," ‘æ2‰ñƒf[ƒ^HŠw‚Əî•ñƒ}ƒlƒWƒƒ“ƒg‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€iDEIM2010j, Feb. 2010.
  250. ‘ëã W‘Ÿ˜Y, ŒF–ì ‰ëm, –Ø‘º ¹O, Ä“¡ ˜a–€, "¬’·ƒlƒbƒgƒ[ƒN‚É‚š‚¯‚éî•ñ“`”Àƒ‚ƒfƒ‹‚ð—p‚¢‚œƒŠƒ“ƒN—\‘ª, " î•ñˆ—Šw‰ï ‘æ76‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆ(MPS)Œ€‹†‰ï, Dec. 2009.
  251. “Œ–ì ³s, ŒF–ì ‰ëm, –Ø‘º ¹O, Ä“¡ ˜a–€, "•¶‘ƒXƒgƒŠ[ƒ€‚©‚ç‚̃zƒbƒgƒgƒsƒbƒN’Šo‚ð–Ú“I‚Æ‚µ‚œSR–@‚ÌŠg’£," î•ñˆ—Šw‰ï ‘æ76‰ñ”—ƒ‚ƒfƒ‹‰»‚Æ–â‘è‰ðŒˆ(MPS)Œ€‹†‰ï, Dec. 2009.
  252. ²“¡ OŽ÷, “‡“c —@, •šŒ© ‘싱, Ä“¡ ˜a–€, ²“¡ “NŽi, "Ž¿–â‰ñ“šƒTƒCƒg‚É‚š‚¯‚éQARank ‚ð—p‚¢‚œƒ†[ƒUvŒ£“x‚̐„’è," î•ñŽÐ‰ïŠw‰ï ‘æ2‰ñ’mŽ¯‹€—LƒRƒ~ƒ…ƒjƒeƒBƒ[ƒNƒVƒ‡ƒbƒv, Dec. 2009.
  253. ²“¡ OŽ÷, “‡“c —@, •ŸŒŽ ’mG, Ä“¡ ˜a–€, ²“¡ “NŽi, "Ž¿–â‰ñ“šƒTƒCƒg‚É‚š‚¯‚é“ŠeŽí•Ê‚É’–Ú‚µ‚œƒRƒ~ƒ…ƒjƒeƒB•ªÍŽè–@," Web‚ƃf[ƒ^ƒx[ƒX‚ÉŠÖ‚·‚éƒtƒH[ƒ‰ƒ€ (WebDB Forum 2009) , Nov. 2009.
  254. •šŒ© ‘싱, ‹gì —F–ç, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, "ŽÐ‰ïƒlƒbƒgƒ[ƒN‚̍\‘¢‚Əî•ñŠgŽUƒ‚ƒfƒ‹‚ÌŠÖŒW•ªÍ," ‘æ8‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2009j, Sep. 2009.
  255. ¬o –ŸO, …–{ Žk—¯, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, "SISƒ‚ƒfƒ‹‚̉e‹¿“x‚ƃRƒ~ƒ…ƒjƒeƒB\‘¢‚ÌŠÖŒW•ªÍ" ‘æ8‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2009j, Sep. 2009.
  256. ‹gì —F–ç, •šŒ© ‘싱, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, "ŽÐ‰ïƒlƒbƒgƒ[ƒNã‚ł̏î•ñŠgŽUƒf[ƒ^‚Ì•ªÍ," ‘æ8‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2009j, Sep. 2009.
  257. Š_’å “Þ, ŽFì ‘å‹P, Ä“¡ ˜a–€, –Ø‘º ¹O, Œ³“c _, "ŽÀƒlƒbƒgƒ[ƒN‚̃Q[ƒ€ƒ‚ƒfƒ‹‚̃_ƒCƒiƒ~ƒNƒX‚Ì’²žŒŸ“¢," ‘æ23‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, Jun. 2009. PDF
  258. “üŒŽ ‘ì–ç, ì“Y ‚Žu, Ä“¡ ˜a–€, •“¡ L–Ÿ, ’r“c “N•v, "—òƒ‚ƒWƒ…ƒ‰ŠÖ”Å‘剻‚É‚æ‚é‘å‹K–̓Nƒ‰ƒXƒ^ƒŠƒ“ƒO," ‘æ23‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, Jun. 2009. PDF
  259. •šŒ© ‘싱, …–{ Žk—¯, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, "ŽÐ‰ïƒlƒbƒgƒ[ƒN‚̏î•ñŠgŽUƒ‚ƒfƒ‹‚ƃRƒ~ƒ…ƒjƒeƒB\‘¢‚Ì•ªÍ," ‘æ23‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, Jun. 2009. PDF
  260. Žü Šž, Ä“¡ ˜a–€, Œ³“c _, –Ø‘º ¹O, "—U“±ƒTƒuƒOƒ‰ƒt‚É‚æ‚éd—vƒm[ƒhŠÔ‚ÌŠÖŒW•ªÍ," ‘æ23‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, Jun. 2009. PDF
  261. –Ø‘º ¹O, Ä“¡ ˜a–€, ’†–ì —Ç•œ, Œ³“c _, "î•ñŠgŽUƒf[ƒ^‚ÉŠî‚¢‚œŽÐ‰ïƒlƒbƒgƒ[ƒN‚̃m[ƒhƒ‰ƒ“ƒLƒ“ƒO," ‘æ23‰ñlH’m”\Šw‰ï‘S‘‘å‰ï, Jun. 2009. PDF
  262. –Ø‘º ¹O, Ä“¡ ˜a–€, Œ³“c _, "ŽÐ‰ïƒlƒbƒgƒ[ƒN‚É‚š‚¯‚鉘õŠgŽUÅ¬‰»‚Ì‚œ‚߂̃Šƒ“ƒN••œ," lH’m”\Šw‰ï ‘æ9‰ñƒf[ƒ^ƒ}ƒCƒjƒ“ƒO‚Æ“Œv”—Œ€‹†‰ï, Mar. 2009.
  263. ˆÉ“¡ ­Žu, –Ø‘º ¹O, Ä“¡ ˜a–€, ’†–ì —Ç•œ, Œ³“c _, "ƒRƒƒ“ƒgî•ñ‚ÉŠî‚­ƒuƒƒO‹óŠÔ‚̏î•ñ“`”À•ªÍ," ‘æ5‰ñ ƒlƒbƒgƒ[ƒN¶‘ÔŠwƒVƒ“ƒ|ƒWƒEƒ€, Mar. 2009.
  264. ŽRì ˆê³, –Ø‘º ¹O, Ä“¡ ˜a–€, Œ³“c _,"LTƒ‚ƒfƒ‹‚ÉŠî‚¢‚œî•ñŠgŽU‚É‚š‚¯‚é‹­‰e‹¿ƒm[ƒhŒQ‚̃Rƒ~ƒ…ƒjƒeƒB•ªÍ," 2009”N“dŽqî•ñ’ʐMŠw‰ï‘S‘‘å‰ï, Mar. 2009.
  265. •Ÿˆä Œ’ˆê, ²“¡ ˆê‰i, …è ƒˆê˜Y, Ä“¡ ˜a–€, –Ø‘º ¹O, À”ö ³s, "‹ß–Tƒlƒbƒgƒ[ƒN‚̐¬’·•ªÍ‚©‚猩‚鑹‰ß’ö," lH’m”\Šw‰ï ‘æ83‰ñ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï Œ€‹†‰ïŽ‘—¿, pp.11-16, Nov. 2008.
  266. ÂŽR ˆê¶, Ä“¡ ˜a–€, ŽR“c •Žm, ã“c CŒ÷, "ƒlƒbƒgƒ[ƒNõˆø\‘¢‚ð—p‚¢‚œ—ÞŽ—’Tõ‚ƉŽ‹‰»," ‘æ7‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2008j, î•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€u‰‰˜_•¶W 7(2), pp135--136, Sep. 2008. PDF
  267. “Œ–ì ³s, –Ø‘º ¹O, Ä“¡ ˜a–€, "SR–@‚ð—˜—p‚µ‚œ•¶‘ƒXƒgƒŠ[ƒ€‚̃zƒbƒgƒgƒsƒbƒN’Šo," ‘æ7‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2008j, î•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€u‰‰˜_•¶W 7(2), pp437--438, Sep. 2008. PDF
  268. ˆÉ“¡ ­Žu, –Ø‘º ¹O, Ä“¡ ˜a–€, "ƒuƒƒO‹óŠÔ‚É‚š‚¯‚éî•ñ“`”Àƒpƒ^[ƒ“‚Ì•ªÍ," ‘æ7‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2008j, î•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€u‰‰˜_•¶W 7(2), pp431--432, Sep. 2008. PDF
  269. ‘ëã W‘Ÿ˜Y, –Ø‘º ¹O, Ä“¡ ˜a–€, "î•ñŠgŽUƒ‚ƒfƒ‹‚ÉŠî‚¢‚œŽÐ‰ïƒlƒbƒgƒ[ƒN‚̃Šƒ“ƒN—\‘ª," ‘æ7‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€iFIT2008j, î•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€u‰‰˜_•¶W 7(2), pp367--368, Sep. 2008. PDF
  270. •Ÿˆä Œ’ˆê, Ä“¡ ˜a–€, –Ø‘º ¹O, À”ö ³s, "Ž©ŒÈ‘gD‰»ƒlƒbƒgƒ[ƒN‚É‚æ‚éƒNƒ‰ƒXƒ^•Ï‘J‚̉Ž‹‰»" ‘æ21‰ñlH’m”\Šw‰ï‘S‘‘å‰ï˜_•¶W, on CD-ROM, Jun. 2008. PDF
  271. ŽRì ˆê³, –Ø‘º ¹O, Ä“¡ ˜a–€, Œ³“c _, "ŽÐ‰ïƒlƒbƒgƒ[ƒNã‚̏î•ñŠgŽU‚É‚š‚¯‚é‹­‰e‹¿ƒm[ƒhŒQ‚̃Rƒ~ƒ…ƒjƒeƒB•ªÍ," lH’m”\Šw‰ï ‘æ80‰ñ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï Œ€‹†‰ïŽ‘—¿, pp.1--6, Jan. 2008.
  272. £ŒË G—², –Ø‘º ¹O, Ä“¡ ˜a–€, "ŽžŠÔî•ñ‚ÉŠî‚¢‚œ­Ž¡ƒuƒƒOŒQ‚̃gƒsƒbƒN•ªÍ," lH’m”\Šw‰ï ‘æ80‰ñ’mŽ¯ƒx[ƒXƒVƒXƒeƒ€Œ€‹†‰ï Œ€‹†‰ïŽ‘—¿, pp.7-12, Jan. 2008.
  273. •Ÿˆä Œ’ˆê, Ä“¡ ˜a–€, –Ø‘º ¹O, À”ö ³s, "ƒNƒ‰ƒXƒ^‚̃_ƒCƒiƒ~ƒNƒX‚ð‰ÂŽ‹‰»‚·‚éSequence-based SOM‚ÉŠÖ‚·‚éˆêlŽ@," lH’m”\Šw‰ï ‘æ4‰ñƒf[ƒ^ƒ}ƒCƒjƒ“ƒO‚Æ“Œv”—Œ€‹†‰ï, on CD-ROM, 2007.
  274. Šâ“c ‹ïŽ¡CÄ“¡ ˜a–€CŽR“c •Žm, "Å‘åƒGƒ“ƒgƒƒs[–@‚ÉŠî‚­„‘EƒVƒXƒeƒ€‚ł̃†[ƒUs“®‚̃‚ƒfƒ‹‰»,"‘æ6‰ñî•ñ‰ÈŠw‹ZpƒtƒH[ƒ‰ƒ€ (FIT2007)C2007.
  275. Šâ“c ‹ïŽ¡CÄ“¡ ˜a–€CŽR“c •Žm, "’èŠz§ƒT[ƒrƒX‚É‚š‚¯‚é—D—njڋq‚̍w”ƒƒpƒ^[ƒ“•ªÍ," ‘æ18‰ñƒf[ƒ^HŠwƒ[ƒNƒVƒ‡ƒbƒv(DEWS2007)CD3-4, 2007. PDF
  276. “¡–ì º“T, ã“c CŒ÷, Ä“¡ ˜a–€, "•¡”‚̍\¬—v‘fƒf[ƒ^‚ðˆµ‚€‘œƒNƒ‰ƒX•ª—ÞŠí‚Ì”Œ‹³Žt‚ ‚èŠwK–@," î•ñˆ—Šw‰ï˜_•¶Ž, ”—ƒ‚ƒfƒ‹‰»‚Ɖž—p, Vol.48, No.SIG 15(TOM 18), pp.163--175, 2007. PDF




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