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Travelled to:
1 × Finland
1 × France
1 × Germany
2 × Canada
9 × USA
Collaborated with:
∅ C.Perlich E.Neumann Y.Idan R.D.Lawrence U.Eick N.Vatnik S.Kaufman P.Melville S.Merugu S.A.Macskassy F.J.Provost J.Zhu T.Hastie A.C.Lozano N.Abe Y.Liu B.Zadrozny U.Murad G.Pinkas
Talks about:
model (7) custom (5) evalu (3) regress (2) quantil (2) wallet (2) select (2) method (2) applic (2) solut (2)

Person: Saharon Rosset

DBLP DBLP: Rosset:Saharon

Contributed to:

KDD 20112011
KDD 20092009
ICML 20082008
KDD 20082008
KDD 20072007
KDD 20062006
ICML 20052005
KDD 20052005
ICML 20042004
DRR 20032003
KDD 20022002
KDD 20012001
KDD 19991999
KDD 19981998

Wrote 14 papers:

KDD-2011-KaufmanRP #data mining #detection #mining
Leakage in data mining: formulation, detection, and avoidance (SK, SR, CP), pp. 556–563.
KDD-2009-LozanoALR #modelling #visual notation
Grouped graphical Granger modeling methods for temporal causal modeling (ACL, NA, YL, SR), pp. 577–586.
ICML-2008-Rosset #kernel
Bi-level path following for cross validated solution of kernel quantile regression (SR), pp. 840–847.
KDD-2008-MelvilleRL #modelling #using #web
Customer targeting models using actively-selected web content (PM, SR, RDL), pp. 946–953.
KDD-2007-PerlichRLZ #estimation #modelling
High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
KDD-2006-MeruguRP #approach #estimation #multi
A new multi-view regression approach with an application to customer wallet estimation (SM, SR, CP), pp. 656–661.
ICML-2005-MacskassyPR #empirical #evaluation
ROC confidence bands: an empirical evaluation (SAM, FJP, SR), pp. 537–544.
KDD-2005-Rosset #robust
Robust boosting and its relation to bagging (SR), pp. 249–255.
ICML-2004-Rosset
Model selection via the AUC (SR).
DRR-2003-RossetZH
Boosting and support vector machines as optimal separators (SR, JZ, TH), pp. 1–7.
KDD-2002-RossetNEVI #modelling
Customer lifetime value modeling and its use for customer retention planning (SR, EN, UE, NV, YI), pp. 332–340.
KDD-2001-RossetNEVI #evaluation #modelling #predict
Evaluation of prediction models for marketing campaigns (SR, EN, UE, NV, YI), pp. 456–461.
KDD-1999-RossetMNIP #challenge
Discovery of Fraud Rules for Telecommunications — Challenges and Solutions (SR, UM, EN, YI, GP), pp. 409–413.
KDD-1998-Rosset #classification #comparison #evaluation #flexibility #named #performance #ranking
Ranking — Methods for Flexible Evaluation and Efficient Comparison of Classification Performance (SR), pp. 324–328.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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