Travelled to:1 × Canada
1 × Finland
1 × France
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:B.Rajwa V.C.Raykar J.Bi R.B.Rao H.Z.Yerebakan F.Akova A.Qi G.Fung E.D.Hirleman A.K.Bhunia J.P.Robinson M.Wolf S.Lakare M.Salganicoff B.Krishnapuram S.Badve R.K.Jain O.Sertel M.N.Gurcan
Talks about:learn (4) discoveri (2) bayesian (2) multipl (2) instanc (2) toward (2) detect (2) studi (2) class (2) case (2)
Person: Murat Dundar
DBLP: Dundar:Murat
Contributed to:
2014
2012
2010200920082004Wrote 7 papers:
- KDD-2014-DundarYR #identification #towards
- Batch discovery of recurring rare classes toward identifying anomalous samples (MD, HZY, BR), pp. 223–232.
- ICML-2012-DundarAQR #learning #modelling #online
- Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes (MD, FA, AQ, BR), p. 18.
- ICPR-2010-DundarBRJSG #approach #classification #learning #multi #towards
- A Multiple Instance Learning Approach toward Optimal Classification of Pathology Slides (MD, SB, VCR, RKJ, OS, MNG), pp. 2732–2735.
- KDD-2009-DundarHBRR #case study #dataset #detection #learning #using
- Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology (MD, EDH, AKB, JPR, BR), pp. 279–288.
- ICML-2008-DundarWLSR #case study #classification #detection
- Polyhedral classifier for target detection: a case study: colorectal cancer (MD, MW, SL, MS, VCR), pp. 288–295.
- ICML-2008-RaykarKBDR #automation #feature model #induction #learning #multi
- Bayesian multiple instance learning: automatic feature selection and inductive transfer (VCR, BK, JB, MD, RBR), pp. 808–815.
- ICML-2004-FungDBR #algorithm #kernel #performance #using
- A fast iterative algorithm for fisher discriminant using heterogeneous kernels (GF, MD, JB, RBR).