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Travelled to:
1 × Australia
1 × Brazil
1 × China
1 × Finland
1 × Ireland
1 × Portugal
1 × Singapore
2 × Canada
2 × France
2 × Germany
2 × United Kingdom
9 × USA
Collaborated with:
P.Donmez Y.Yang J.Goldstein J.L.Elsas Y.Liu J.Callan P.N.Bennett L.V.Lita V.O.Mittal A.W.Yu F.Kilinç-Karzan V.Ambati S.Vogel S.Yoo J.G.Schneider M.Rogati Y.Zhu G.M.Ciany E.P.Xing T.Pierce M.W.Bilotti E.Nyberg V.R.Carvalho W.W.Cohen J.Arguello J.Klein-Seetharaman V.Gopalakrishnan J.Zhang C.Jin J.P.Callan M.Kantrowitz R.Ribeiro L.Marujo D.M.d.Matos J.P.Neto A.Gershman
Talks about:
learn (7) rank (4) document (3) retriev (3) detect (3) sampl (3) optim (3) model (3) evalu (3) activ (3)

Person: Jaime G. Carbonell

DBLP DBLP: Carbonell:Jaime_G=

Contributed to:

ICML c2 20142014
SIGIR 20132013
CSCW 20122012
CIKM 20112011
CIKM 20102010
ECIR 20092009
KDD 20092009
SIGIR 20092009
CIKM 20082008
ICML 20082008
SIGIR 20082008
CIKM 20072007
ICML 20052005
SIGIR 20052005
CIKM 20042004
SIGIR 20042004
CIKM 20032003
CIKM 20022002
KDD 20022002
CIKM 20002000
SIGIR 19991999
SIGIR 19981998
KR 19941994
SIGIR 19931993

Wrote 28 papers:

ICML-c2-2014-YuKC #algorithm
Saddle Points and Accelerated Perceptron Algorithms (AWY, FKK, JGC), pp. 1827–1835.
SIGIR-2013-0001MMNGC #retrieval
Self reinforcement for important passage retrieval (RR, LM, DMdM, JPN, AG, JGC), pp. 845–848.
CSCW-2012-AmbatiVC #collaboration #crowdsourcing #workflow
Collaborative workflow for crowdsourcing translation (VA, SV, JGC), pp. 1191–1194.
CIKM-2011-YooYC #classification #email #modelling #personalisation
Modeling personalized email prioritization: classification-based and regression-based approaches (SY, YY, JGC), pp. 729–738.
CIKM-2010-BilottiECN #constraints #learning #rank #semantics
Rank learning for factoid question answering with linguistic and semantic constraints (MWB, JLE, JGC, EN), pp. 459–468.
ECIR-2009-DonmezC #learning #optimisation #rank
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve (PD, JGC), pp. 78–89.
KDD-2009-DonmezCS #learning
Efficiently learning the accuracy of labeling sources for selective sampling (PD, JGC, JGS), pp. 259–268.
SIGIR-2009-ElsasC #concurrent #evaluation #online #retrieval #thread
It pays to be picky: an evaluation of thread retrieval in online forums (JLE, JGC), pp. 714–715.
CIKM-2008-CarvalhoECC #ranking
Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.
CIKM-2008-DonmezC #learning #multi
Proactive learning: cost-sensitive active learning with multiple imperfect oracles (PD, JGC), pp. 619–628.
CIKM-2008-RogatiYC #corpus #information retrieval #optimisation
Corpus microsurgery: criteria optimization for medical cross-language ir (MR, YY, JGC), pp. 1365–1366.
ICML-2008-DonmezC #learning #optimisation #rank #reduction
Optimizing estimated loss reduction for active sampling in rank learning (PD, JGC), pp. 248–255.
SIGIR-2008-ElsasACC #feedback #modelling #retrieval
Retrieval and feedback models for blog feed search (JLE, JA, JC, JGC), pp. 347–354.
SIGIR-2008-ZhuCC #personalisation
The impact of history length on personalized search (YZ, JC, JGC), pp. 715–716.
CIKM-2007-GoldsteinCC #identification #summary
Genre identification and goal-focused summarization (JG, GMC, JGC), pp. 889–892.
ICML-2005-LiuXC #graph #predict #using
Predicting protein folds with structural repeats using a chain graph model (YL, EPX, JGC), pp. 513–520.
SIGIR-2005-BennettC #detection #email
Detecting action-items in e-mail (PNB, JGC), pp. 585–586.
CIKM-2004-LitaC #corpus
Unsupervised question answering data acquisition from local corpora (LVL, JGC), pp. 607–614.
SIGIR-2004-LiuCKG #predict
Context sensitive vocabulary and its application in protein secondary structure prediction (YL, JGC, JKS, VG), pp. 538–539.
CIKM-2003-Carbonell #challenge #information management
Grand challenges for information management (JGC), p. 1.
CIKM-2002-LiuYC #bias #classification #induction
Boosting to correct inductive bias in text classification (YL, YY, JGC), pp. 348–355.
KDD-2002-YangZCJ #detection #topic
Topic-conditioned novelty detection (YY, JZ, JGC, CJ), pp. 688–693.
CIKM-2000-GoldsteinMCC #multi #summary
Creating and Evaluating Multi-Document Sentence Extract Summaries (JG, VOM, JGC, JPC), pp. 165–172.
SIGIR-1999-GoldsteinKMC #documentation #evaluation #metric
Summarizing Text Documents: Sentence Selection and Evaluation Metrics (JG, MK, VOM, JGC), pp. 121–128.
SIGIR-1998-CarbonellG #documentation #order #ranking #summary #using
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries (JGC, JG), pp. 335–336.
SIGIR-1998-YangPC #case study #detection #online
A Study of Retrospective and On-Line Event Detection (YY, TP, JGC), pp. 28–36.
KR-1994-Carbonell #information management #learning #representation
Knowledge Representation Issues in Integrated Planning and Learning Systems (JGC), p. 633.
SIGIR-1993-Carbonell #lessons learnt
Lessons from TIPSTER/SHOGUN/JANUS (JGC), p. 225.

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