Travelled to:1 × China
1 × United Kingdom
2 × Canada
5 × USA
Collaborated with:C.A.Yeung T.Yamada N.Ueda T.Kurashima Y.Sakurai A.Shah Z.Ghahramani K.Saito N.Takaya H.Sawada G.Irie K.Fujimura Y.Matsubara C.Faloutsos M.Yoshikawa
Talks about:visual (3) latent (3) share (3) onlin (3) model (3) probabilist (2) recommend (2) influenc (2) network (2) social (2)
Person: Tomoharu Iwata
DBLP: Iwata:Tomoharu
Contributed to:
201420132012
20112010
2010201020082006Wrote 9 papers:
- KDD-2014-KurashimaITS #network #probability #visualisation
- Probabilistic latent network visualization: inferring and embedding diffusion networks (TK, TI, NT, HS), pp. 1236–1245.
- KDD-2013-IwataSG #online #process #social
- Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.
- KDD-2012-MatsubaraSFIY #mining #performance
- Fast mining and forecasting of complex time-stamped events (YM, YS, CF, TI, MY), pp. 271–279.
- CIKM-2011-YeungI #corpus #generative #multi
- Extracting multi-dimensional relations: a generative model of groups of entities in a corpus (CmAY, TI), pp. 1203–1208.
- CIKM-2010-KurashimaIIF #recommendation #using
- Travel route recommendation using geotags in photo sharing sites (TK, TI, GI, KF), pp. 579–588.
- HT-2010-YeungI #online #social
- Capturing implicit user influence in online social sharing (CmAY, TI), pp. 245–254.
- KDD-2010-IwataYSU #modelling #multi #online #topic
- Online multiscale dynamic topic models (TI, TY, YS, NU), pp. 663–672.
- KDD-2008-IwataYU #documentation #probability #semantics #topic #visualisation
- Probabilistic latent semantic visualization: topic model for visualizing documents (TI, TY, NU), pp. 363–371.
- KDD-2006-IwataSY #recommendation
- Recommendation method for extending subscription periods (TI, KS, TY), pp. 574–579.