Travelled to:1 × Australia
1 × Canada
1 × France
1 × Italy
1 × United Kingdom
4 × USA
Collaborated with:E.Horvitz D.S.Tan B.Lee J.Fogarty S.Amershi D.Sharma A.Deshpande A.Grover R.W.Picard Y.Ivanov D.Vasisht A.C.Damianou M.Varma J.Talbot S.A.J.Winder D.McDuff A.K.Karlson A.Roseway M.Czerwinski R.Mahajan B.Christian A.Kannan S.Baker K.Ramnath J.Fiss D.Lin L.Vanderwende R.Ansary Q.Ke M.Uyttendaele X.Wang L.Zhang
Talks about:interact (4) learn (4) multipl (3) model (3) concept (2) classif (2) machin (2) user (2) imag (2) cue (2)
Person: Ashish Kapoor
DBLP: Kapoor:Ashish
Contributed to:
2015
20152014
20122011201020092008
2004Wrote 12 papers:
- ICML-2015-SharmaKD #on the
- On Greedy Maximization of Entropy (DS, AK, AD), pp. 1330–1338.
- KDD-2015-GroverKH #hybrid
- A Deep Hybrid Model for Weather Forecasting (AG, AK, EH), pp. 379–386.
- KDD-2014-KannanBRFLVAKKUWZ #image #mining #web
- Mining text snippets for images on the web (AK, SB, KR, JF, DL, LV, RA, AK, QK, MU, XJW, LZ), pp. 1534–1543.
- KDD-2014-VasishtDVK #classification #learning #multi
- Active learning for sparse bayesian multilabel classification (DV, ACD, MV, AK), pp. 472–481.
- CHI-2012-McDuffKKRC #memory management #named
- AffectAura: an intelligent system for emotional memory (DM, AKK, AK, AR, MC), pp. 849–858.
- CHI-2011-AmershiLKMC #named #network #performance
- CueT: human-guided fast and accurate network alarm triage (SA, BL, AK, RM, BC), pp. 157–166.
- CHI-2010-AmershiFKT #concept #interactive #learning #modelling #multi
- Examining multiple potential models in end-user interactive concept learning (SA, JF, AK, DST), pp. 1357–1360.
- CHI-2010-KapoorLTH #classification #interactive #optimisation
- Interactive optimization for steering machine classification (AK, BL, DST, EH), pp. 1343–1352.
- CHI-2009-TalbotLKT #classification #interactive #machine learning #multi #named #visualisation
- EnsembleMatrix: interactive visualization to support machine learning with multiple classifiers (JT, BL, AK, DST), pp. 1283–1292.
- CHI-2008-FogartyTKW #concept #image #interactive #learning #named
- CueFlik: interactive concept learning in image search (JF, DST, AK, SAJW), pp. 29–38.
- CHI-2008-KapoorH #case study #comparative #experience #modelling #predict
- Experience sampling for building predictive user models: a comparative study (AK, EH), pp. 657–666.
- ICPR-v3-2004-KapoorPI #detection #multi #probability
- Probabilistic Combination of Multiple Modalities to Detect Interest (AK, RWP, YI), pp. 969–972.