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Travelled to:
1 × Australia
1 × Austria
1 × France
1 × Germany
1 × Ireland
1 × Spain
1 × Turkey
2 × Canada
2 × China
8 × USA
Collaborated with:
M.Deodhar K.D.Bollacker S.Merugu I.S.Dhillon A.Banerjee S.Acharyya G.Jun G.Gupta S.Gunasekar Y.Park V.Ramamurti K.Tumer J.Sun S.Basu R.J.Mooney P.Ravikumar J.C.Ho O.Koyejo S.Raghavan V.Radosavljevic Z.Obradovic S.Daruru N.M.Marin M.Walker S.Sra K.V.Pasupuleti H.Cho C.Krumpelman D.S.Modha Y.Wang R.Chen J.C.Denny A.N.Kho Y.Chen B.A.Malin
Talks about:
data (10) cluster (7) mine (4) base (4) framework (3) knowledg (3) predict (3) matrix (3) health (3) famili (3)

Person: Joydeep Ghosh

DBLP DBLP: Ghosh:Joydeep

Facilitated 1 volumes:

KDD 2011Ed

Contributed to:

KDD 20152015
ICML c2 20142014
KDD 20142014
RecSys 20132013
RecSys 20122012
ICPR 20102010
KDIR 20102010
ICML 20092009
KDD 20092009
CIKM 20082008
KDD 20072007
ICML 20052005
KDD 20052005
ICML 20042004
KDD 20042004
KDD 20032003
KDD 20012001
ICML 19981998
ICPR 19961996

Wrote 25 papers:

KDD-2015-WangCGDKCMS #data analysis #health #named
Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.
ICML-c2-2014-GunasekarRG #constraints #exponential #matrix #product line
Exponential Family Matrix Completion under Structural Constraints (SG, PR, JG), pp. 1917–1925.
KDD-2014-HoGS #health #named
Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization (JCH, JG, JS), pp. 115–124.
KDD-2014-ParkG #algorithm #health #named #rank #re-engineering
LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data (YP, JG), pp. 55–64.
RecSys-2013-KoyejoAG #collaboration #matrix
Retargeted matrix factorization for collaborative filtering (OK, SA, JG), pp. 49–56.
RecSys-2012-RaghavanGG #collaboration #overview #quality
Review quality aware collaborative filtering (SR, SG, JG), pp. 123–130.
ICPR-2010-JunG #classification #process
Nearest-Manifold Classification with Gaussian Processes (GJ, JG), pp. 914–917.
KDIR-2010-Ghosh #locality #mining #modelling #multi #predict #scalability #using
Actionable Mining of Large, Multi-relational Data using Localized Predictive Models (JG), pp. 9–10.
KDIR-2010-JunGRO #image #predict #process
Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes (GJ, JG, VR, ZO), pp. 370–375.
ICML-2009-DeodharGGCD #clustering #framework #scalability #semistructured data
A scalable framework for discovering coherent co-clusters in noisy data (MD, GG, JG, HC, ISD), pp. 241–248.
KDD-2009-DaruruMWG #clustering #data flow #data mining #mining #parallel #pervasive #scalability
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.
KDD-2009-DeodharG #mining #predict
Mining for the most certain predictions from dyadic data (MD, JG), pp. 249–258.
CIKM-2008-AcharyyaG #analysis #product line
A spam resistant family of concavo-convex ranks for link analysis (SA, JG), pp. 1505–1506.
KDD-2007-DeodharG #clustering #framework #learning
A framework for simultaneous co-clustering and learning from complex data (MD, JG), pp. 250–259.
ICML-2005-GuptaG #clustering #hybrid #robust #using
Robust one-class clustering using hybrid global and local search (GG, JG), pp. 273–280.
KDD-2005-BanerjeeKGBM #clustering #modelling
Model-based overlapping clustering (AB, CK, JG, SB, RJM), pp. 532–537.
KDD-2005-MeruguG #data flow #distributed #framework #learning #semistructured data
A distributed learning framework for heterogeneous data sources (SM, JG), pp. 208–217.
ICML-2004-BanerjeeDGM #analysis #estimation #exponential #product line
An information theoretic analysis of maximum likelihood mixture estimation for exponential families (AB, ISD, JG, SM).
KDD-2004-BanerjeeDGMM #approach #approximate #clustering #matrix
A generalized maximum entropy approach to bregman co-clustering and matrix approximation (AB, ISD, JG, SM, DSM), pp. 509–514.
KDD-2003-BanerjeeDGS #clustering #generative #modelling
Generative model-based clustering of directional data (AB, ISD, JG, SS), pp. 19–28.
KDD-2001-BasuMPG #using
Evaluating the novelty of text-mined rules using lexical knowledge (SB, RJM, KVP, JG), pp. 233–238.
ICML-1998-BollackerG #architecture #classification #reuse #scalability
A Supra-Classifier Architecture for Scalable Knowledge Reuse (KDB, JG), pp. 64–72.
ICPR-1996-BollackerG #linear
Linear feature extractors based on mutual information (KDB, JG), pp. 720–724.
ICPR-1996-RamamurtiG #adaptation
Structural adaptation in mixture of experts (VR, JG), pp. 704–708.
ICPR-1996-TumerG #classification #fault
Estimating the Bayes error rate through classifier combining (KT, JG), pp. 695–699.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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