Jaime G. Carbonell

	2012
162		Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell: Collaborative workflow for crowdsourcing translation. CSCW 2012: 1191-1194
161		Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning CoRR abs/1202.3708: (2012)
160		Xi Chen, Han Liu, Jaime G. Carbonell: Structured Sparse Canonical Correlation Analysis. Journal of Machine Learning Research - Proceedings Track 22: 199-207 (2012)
	2011
159		Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell: Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. CICLing (2) 2011: 13-28
158		Shinjae Yoo, Yiming Yang, Jaime G. Carbonell: Modeling personalized email prioritization: classification-based and regression-based approaches. CIKM 2011: 729-738
157		Selen Uguroglu, Jaime G. Carbonell: Feature Selection for Transfer Learning. ECML/PKDD (3) 2011: 430-442
156		Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell: Towards Task Recommendation in Micro-Task Markets. Human Computation 2011
155		Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell: Sparse Latent Semantic Analysis. SDM 2011: 474-485
154		Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell: SmartNotes: Application of crowdsourcing to the detection of web threats. SMC 2011: 1346-1350
153		Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell: Detection of Internet scam using logistic regression. SMC 2011: 2168-2172
152		Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbonell, Eric P. Xing: Smoothing Proximal Gradient Method for General Structured Sparse Learning. UAI 2011: 105-114
151		Zhongming Zhao, Junfeng Xia, Oznur Tastan, Irtisha Singh, Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman: Virus interactions with human signal transduction pathways. I. J. Computational Biology and Drug Design 4(1): 83-105 (2011)
150		Liu Yang, Steve Hanneke, Jaime G. Carbonell: The Sample Complexity of Self-Verifying Bayesian Active Learning. Journal of Machine Learning Research - Proceedings Track 15: 816-822 (2011)
149		Liu Yang, Steve Hanneke, Jaime G. Carbonell: Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning. Journal of Machine Learning Research - Proceedings Track 19: 789-806 (2011)
	2010
148		Xi Chen, Yan Liu, Han Liu, Jaime G. Carbonell: Learning Spatial-Temporal Varying Graphs with Applications to Climate Data Analysis. AAAI 2010
147		Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell: Active Learning-Based Elicitation for Semi-Supervised Word Alignment. ACL (Short Papers) 2010: 365-370
146		Liu Yang, Steve Hanneke, Jaime G. Carbonell: Bayesian Active Learning Using Arbitrary Binary Valued Queries. ALT 2010: 50-58
145		Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Carbonell, Eric Nyberg: Rank learning for factoid question answering with linguistic and semantic constraints. CIKM 2010: 459-468
144		Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell: Monolingual Distributional Profiles for Word Substitution in Machine Translation. COLING (Posters) 2010: 320-328
143		Jingrui He, Hanghang Tong, Jaime G. Carbonell: Rare Category Characterization. ICDM 2010: 226-235
142		Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell: Learning Preferences with Millions of Parameters by Enforcing Sparsity. ICDM 2010: 779-784
141		Betty Yee Man Cheng, Jaime G. Carbonell: Automatic Detection of HIV Drug Resistance-Associated Mutations. ICMLA 2010: 528-533
140		Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell: Active Learning and Crowd-Sourcing for Machine Translation. LREC 2010
139		Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell: Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. SDM 2010: 211-222
138		Jingrui He, Jaime G. Carbonell: Co-selection of Features and Instances for Unsupervised Rare Category Analysis. SDM 2010: 525-536
137		Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider: A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy. SDM 2010: 826-837
136		Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell: Learning of personalized security settings. SMC 2010: 3428-3432
135		Pinar Donmez, Jaime G. Carbonell: From Active to Proactive Learning Methods. Advances in Machine Learning I 2010: 97-120
134		Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Ganapathiraju: Active learning for human protein-protein interaction prediction. BMC Bioinformatics 11(S-1): 57 (2010)
133		Hatice U. Osmanbeyoglu, Jessica A. Wehner, Jaime G. Carbonell, Madhavi Ganapathiraju: Active machine learning for transmembrane helix prediction. BMC Bioinformatics 11(S-1): 58 (2010)
132		Yanjun Qi, Oznur Tastan, Jaime G. Carbonell, Judith Klein-Seetharaman, Jason Weston: Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins. Bioinformatics 26(18): (2010)
131		Xi Chen, Seyoung Kim, Qihang Lin, Jaime G. Carbonell, Eric P. Xing: Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso CoRR abs/1005.3579: (2010)
130		Xi Chen, Qihang Lin, Seyoung Kim, Javier Peña, Jaime G. Carbonell, Eric P. Xing: An Efficient Proximal-Gradient Method for Single and Multi-task Regression with Structured Sparsity CoRR abs/1005.4717: (2010)
129		Judith Gelernter, Dong Cao, Jaime G. Carbonell: Studies on Relevance, Ranking and Results Display CoRR abs/1006.4535: (2010)
128		Jingrui He, Jaime G. Carbonell: Coselection of features and instances for unsupervised rare category analysis. Statistical Analysis and Data Mining 3(6): 417-430 (2010)
	2009
127		Pinar Donmez, Jaime G. Carbonell: Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. ECIR 2009: 78-89
126		Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell: Accelerated Gradient Method for Multi-task Sparse Learning Problem. ICDM 2009: 746-751
125		Pinar Donmez, Jaime G. Carbonell, Jeff G. Schneider: Efficiently learning the accuracy of labeling sources for selective sampling. KDD 2009: 259-268
124		Oznur Tastan, Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman: Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration. Pacific Symposium on Biocomputing 2009: 516-527
123		Jingrui He, Jaime G. Carbonell: Prior-Free Rare Category Detection. SDM 2009: 155-163
122		Jonathan L. Elsas, Jaime G. Carbonell: It pays to be picky: an evaluation of thread retrieval in online forums. SIGIR 2009: 714-715
121		Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell: Analysis of uncertain data: Selection of probes for information gathering. SMC 2009: 2227-2232
120		Eugene Fink, Ankur Sarin, Jaime G. Carbonell: Analysis of uncertain data: Smoothing of histograms. SMC 2009: 2549-2555
119		Anatole Gershman, Eugene Fink, Bin Fu, Jaime G. Carbonell: Analysis of uncertain data: Evaluation of given hypotheses. SMC 2009: 2556-2561
118		Eugene Fink, Matt Jennings, Konstantin Salomatin, Jaime G. Carbonell: Scheduling with uncertain resources: Representation of common knowledge. SMC 2009: 2642-2646
117		Judith Gelernter, Dong Cao, Raymond Lu, Eugene Fink, Jaime G. Carbonell: Creating and visualizing fuzzy document classification. SMC 2009: 672-679
116		Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell: Pairwise Document Classification for Relevance Feedback. TREC 2009
	2008
115		Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen Smith, Aaron Steinfeld, Anthony Tomasic: RADAR: A Personal Assistant that Learns to Reduce Email Overload. AAAI 2008: 1287-1293
114		Monica Rogati, Yiming Yang, Jaime G. Carbonell: Corpus microsurgery: criteria optimization for medical cross-language ir. CIKM 2008: 1365-1366
113		Vitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell: Suppressing outliers in pairwise preference ranking. CIKM 2008: 1487-1488
112		Pinar Donmez, Jaime G. Carbonell: Proactive learning: cost-sensitive active learning with multiple imperfect oracles. CIKM 2008: 619-628
111		Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin: ParaMor and Morpho Challenge 2008. CLEF 2008: 967-974
110		Pinar Donmez, Jaime G. Carbonell: Optimizing estimated loss reduction for active sampling in rank learning. ICML 2008: 248-255
109		Jaime Arguello, Jonathan L. Elsas, Jamie Callan, Jaime G. Carbonell: Document Representation and Query Expansion Models for Blog Recommendation. ICWSM 2008
108		Pinar Donmez, Jaime G. Carbonell: Paired Sampling in Density-Sensitive Active Learning. ISAIM 2008
107		Jingrui He, Jaime G. Carbonell: Rare Class Discovery Based on Active Learning. ISAIM 2008
106		Chun Jin, Jaime G. Carbonell: Predicate Indexing for Incremental Multi-Query Optimization. ISMIS 2008: 339-350
105		Christian Monson, Ariadna Font Llitjós, Vamshi Ambati, Lori S. Levin, Alon Lavie, Alison Alvarez, Roberto Aranovich, Jaime G. Carbonell, Robert E. Frederking, Erik Peterson, Katharina Probst: Linguistic Structure and Bilingual Informants Help Induce Machine Translation of Lesser-Resourced Languages. LREC 2008
104		Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell: Retrieval and feedback models for blog feed search. SIGIR 2008: 347-354
103		Yangbo Zhu, Jamie Callan, Jaime G. Carbonell: The impact of history length on personalized search. SIGIR 2008: 715-716
102		Jaime Arguello, Jonathan L. Elsas, Changkuk Yoo, Jamie Callan, Jaime G. Carbonell: Document and Query Expansion Models for Blog Distillation. TREC 2008
101		Jonathan L. Elsas, Vitor R. Carvalho, Jaime G. Carbonell: Fast learning of document ranking functions with the committee perceptron. WSDM 2008: 55-64
	2007
100		Betty Yee Man Cheng, Jaime G. Carbonell: Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. APBC 2007: 363-372
99		Jade Goldstein, Gary M. Ciany, Jaime G. Carbonell: Genre identification and goal-focused summarization. CIKM 2007: 889-892
98		Christian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin: ParaMor: Finding Paradigms across Morphology. CLEF 2007: 900-907
97		Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett: Dual Strategy Active Learning. ECML 2007: 116-127
96		Paul N. Bennett, Jaime G. Carbonell: Combining Probability-Based Rankers for Action-Item Detection. HLT-NAACL 2007: 324-331
95		Lucian Vlad Lita, Jaime G. Carbonell: Cluster-Based Selection of Statistical Answering Strategies. IJCAI 2007: 1653-1658
94		Jingrui He, Jaime G. Carbonell, Yan Liu: Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007: 2492-2497
93		Yan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele: Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI 2007: 937-945
92		Jingrui He, Jaime G. Carbonell: Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007
91		Vasco Pedro, Lucian Vlad Lita, Radu Stefan Niculescu, Bharat Rao, Jaime G. Carbonell: Federated Ontology Search for the Medical Domain. OTM Workshops (1) 2007: 554-565
90		Jonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell: Retrieval and Feedback Models for Blog Distillation. TREC 2007
89		Yangbo Zhu, Le Zhao, Jamie Callan, Jaime G. Carbonell: Stuctured Queries for Legal Search. TREC 2007
	2006
88		Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell: Spectral Clustering for Example Based Machine Translation. HLT-NAACL 2006
87		Chun Jin, Jaime G. Carbonell: ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. IDEAS 2006: 256-262
86		Chun Jin, Jaime G. Carbonell: Incremental Aggregation on Multiple Continuous Queries. ISMIS 2006: 167-177
85		Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan: Protein Fold Recognition Using Segmentation Conditional Random Fields (SCRFs). Journal of Computational Biology 13(2): 394-406 (2006)
	2005
84		Yan Liu, Eric P. Xing, Jaime G. Carbonell: Predicting protein folds with structural repeats using a chain graph model. ICML 2005: 513-520
83		Chun Jin, Jaime G. Carbonell, Philip J. Hayes: ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. ISMIS 2005: 142-151
82		Betty Yee Man Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman: A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries. ISMIS 2005: 29-37
81		Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan: Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB 2005: 408-422
80		Paul N. Bennett, Jaime G. Carbonell: Detecting action-items in e-mail. SIGIR 2005: 585-586
79		S. Su, José A. B. Fortes, T. R. Kasad, M. Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, C. McSweeney, L. deBrens, J. Ventura, P. Taveras, R. Connolly, C. Ortega, B. Piñeres, O. Brooks, G. A. Murillo, M. Herrera: Transnational Information Sharing, Event Notification, Rule Enforcement and Process Coordination. IJEGR 1(2): 1-26 (2005)
	2004
78		Ariadna Font Llitjós, Katharina Probst, Jaime G. Carbonell: Error Analysis of Two Types of Grammar for the Purpose of Automatic Rule Refinement. AMTA 2004: 187-196
77		Lucian Vlad Lita, Jaime G. Carbonell: Unsupervised question answering data acquisition from local corpora. CIKM 2004: 607-614
76		S. Su, José A. B. Fortes, T. R. Kasad, M. Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, C. McSweeney, L. deBrens, J. Ventura, P. Taveras, R. Connolly, C. Ortega, B. Piñeres, O. Brooks, M. Herrera: A Prototype System for Transnational Information Sharing and Process Coordination. DG.O 2004
75		S. Su, José A. B. Fortes, T. R. Kasad, M. Patil, Andréa M. Matsunaga, Maurício O. Tsugawa, Violetta Cavalli-Sforza, Jaime G. Carbonell, Peter J. Jansen, Wayne Ward, Ronald A. Cole, Donald F. Towsley, Weifeng Chen, Annie I. Antón, Qingfeng He, C. McSweeney, L. deBrens, J. Ventura, P. Taveras, R. Connolly, C. Ortega, B. Piñeres, O. Brooks, M. Herrera: A Prototype System for Transnational Information Sharing and Process Coordination: System Demo. DG.O 2004
74		Lucian Vlad Lita, Jaime G. Carbonell: Instance-Based Question Answering: A Data-Driven Approach. EMNLP 2004: 396-403
73		Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan: Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR 2004: 538-539
72		Eugene Fink, Aaron Goldstein, Philip J. Hayes, Jaime G. Carbonell: Search for approximate matches in large databases. SMC (2) 2004: 1431-1435
71		Yan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan: Comparison of probabilistic combination methods for protein secondary structure prediction. Bioinformatics 20(17): 3099-3107 (2004)
	2003
70		Jaime G. Carbonell: Grand challenges for information management. CIKM 2003: 1
69		Lucian Vlad Lita, Monica Rogati, Jaime G. Carbonell: Cross Lingual QA: A Modular Baseline in CLEF 2003. CLEF 2003: 535-540
68		Yan Liu, Jaime G. Carbonell, Rong Jin: A New Pairwise Ensemble Approach for Text Classification. ECML 2003: 277-288
67		Eric Nyberg, Teruko Mitamura, James P. Callan, Jaime G. Carbonell, Robert E. Frederking, Kevyn Collins-Thompson, Laurie Hiyakumoto, Yifen Huang, Curtis Huttenhower, Scott Judy, Jeongwoo Ko, Anna Kupsc, Lucian Vlad Lita, Vasco Pedro, David Svoboda, Benjamin Van Durme: The JAVELIN Question-Answering System at TREC 2003: A Multi-Strategh Approach with Dynamic Planning. TREC 2003
66		Alon Lavie, Stephan Vogel, Lori S. Levin, Erik Peterson, Katharina Probst, Ariadna Font Llitjós, Rachel Reynolds, Jaime G. Carbonell, Richard Cohen: Experiments with a Hindi-to-English transfer-based MT system under a miserly data scenario. ACM Trans. Asian Lang. Inf. Process. 2(2): 143-163 (2003)
	2002
65		Jaime G. Carbonell, Katharina Probst, Erik Peterson, Christian Monson, Alon Lavie, Ralf D. Brown, Lori S. Levin: Automatic Rule Learning for Resource-Limited MT. AMTA 2002: 1-10
64		Yan Liu, Yiming Yang, Jaime G. Carbonell: Boosting to correct inductive bias in text classification. CIKM 2002: 348-355
63		Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin: Topic-conditioned novelty detection. KDD 2002: 688-693
62		Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell, James P. Callan, Kevyn Collins-Thompson, Krzysztof Czuba, Michael Duggan, Laurie Hiyakumoto, N. Hu, Yifen Huang, Jeongwoo Ko, Lucian Vlad Lita, S. Murtagh, Vasco Pedro, David Svoboda: The JAVELIN Question-Answering System at TREC 2002. TREC 2002
61		Katharina Probst, Lori S. Levin, Erik Peterson, Alon Lavie, Jaime G. Carbonell: MT for Minority Languages Using Elicitation-Based Learning of Syntactic Transfer Rules. Machine Translation 17(4): 245-270 (2002)
	2000
60		Jade Goldstein, Vibhu O. Mittal, Jaime G. Carbonell, James P. Callan: Creating and Evaluating Multi-Document Sentence Extract Summaries. CIKM 2000: 165-172
59		Jaime G. Carbonell, Yiming Yang, William W. Cohen: Special Issue of Machine Learning on Information Retrieval - Introduction. Machine Learning 39(2/3): 99-101 (2000)
	1999
58		Vibhu O. Mittal, Mark Kantrowitz, Jade Goldstein, Jaime G. Carbonell: Selecting Text Spans for Document Summaries: Heuristics and Metrics. AAAI/IAAI 1999: 467-473
57		Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, Jaime G. Carbonell: Summarizing Text Documents: Sentence Selection and Evaluation Metrics. SIGIR 1999: 121-128
	1998
56		Yiming Yang, Thomas Pierce, Jaime G. Carbonell: A Study of Retrospective and On-Line Event Detection. SIGIR 1998: 28-36
55		Jaime G. Carbonell, Jade Goldstein: The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. SIGIR 1998: 335-336
54		Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Robert E. Frederking: Translingual Information Retrieval: Learning from Bilingual Corpora. Artif. Intell. 103(1-2): 323-345 (1998)
	1997
53		Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee: Translingual Information Retrieval: A Comparative Evaluation. IJCAI (1) 1997: 708-715
	1995
52		James A. Hendler, Jaime G. Carbonell, Douglas B. Lenat, Riichiro Mizoguchi, Paul S. Rosenbloom: VERY Large Knowledge Bases - Architecture vs Engineering. IJCAI 1995: 2033-2036
51		Manuela M. Veloso, Jaime G. Carbonell, M. Alicia Pérez, Daniel Borrajo, Eugene Fink, Jim Blythe: Integrating planning and learning: the PRODIGY architecture. J. Exp. Theor. Artif. Intell. 7(1): 81-120 (1995)
	1994
50		M. Alicia Pérez, Jaime G. Carbonell: Control Knowledge to Improve Plan Quality. AIPS 1994: 323-328
49		Eric Nyberg, Teruko Mitamura, Jaime G. Carbonell: Evaluation Metrics for Knowledge-Based Machine Translation. COLING 1994: 95-99
48		Jaime G. Carbonell: Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract). KR 1994: 633
	1993
47		Jaime G. Carbonell: Lessons from TIPSTER/SHOGUN/JANUS. SIGIR 1993: 225
46		Manuela M. Veloso, Jaime G. Carbonell: Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. Machine Learning 10: 249-278 (1993)
	1992
45		Sergei Nirenburg, Jaime G. Carbonell, Masaru Tomita, Kenneth Goodman: Machine translation - a knowledge-based approach. Morgan Kaufmann 1992: I-XIV, 1-258
44		Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe: Is Production System Match Interesting? ICTAI 1992: 2-3
43		Jaime G. Carbonell: Machine Learning: A Maturing Field. Machine Learning 9: 5-7 (1992)
	1991
42		Manuela M. Veloso, Jaime G. Carbonell: Learning by Analogical Replay in PRODIGY: First Results. EWSL 1991: 375-390
41		Jaime G. Carbonell: Session 3: Machine Translation. HLT 1991
40		Jaime G. Carbonell: Editorial. Machine Learning 6: 5 (1991)
39		Jaime G. Carbonell: Editorial. Machine Learning 7: 5 (1991)
38		Jaime G. Carbonell, Oren Etzioni, Yolanda Gil, Robert Joseph, Craig A. Knoblock, Steven Minton, Manuela M. Veloso: PRODIGY: An Integrated Architecture for Planning and Learning. SIGART Bulletin 2(4): 51-55 (1991)
	1989
37		Peter Shell, Jaime G. Carbonell: Towards a General Framework for Composing Disjunctive and Iterative Macro-operators. IJCAI 1989: 596-602
36		Jaime G. Carbonell: Introduction: Paradigms for Machine Learning. Artif. Intell. 40(1-3): 1-9 (1989)
35		Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil: Explanation-Based Learning: A Problem Solving Perspective. Artif. Intell. 40(1-3): 63-118 (1989)
34		Jaime G. Carbonell: Editorial. Machine Learning 4: 113-115 (1989)
33		Jaime G. Carbonell: Editorial. Machine Learning 4: 5-6 (1989)
	1988
32		Jaime G. Carbonell, Ralf D. Brown: Anaphora resolution: a multy-strategy approach. COLING 1988: 96-101
31		Jill H. Larkin, Frederick Reif, Jaime G. Carbonell, Angela Gugliotta: FERMI: A Flexible Expert Reasoner with Multi-Domain Inferencing. Cognitive Science 12(1): 101-138 (1988)
	1987
30		Steven Minton, Jaime G. Carbonell: Strategies for Learning Search Control Rules: An Explanation-based Approach. IJCAI 1987: 228-235
29		Masaru Tomita, Jaime G. Carbonell: The Universal Parser Architecture for Knowledge-based Machine Translation. IJCAI 1987: 718-721
28		Sergei Nirenburg, Jaime G. Carbonell: Integrating discourse pragmatics and propositional knowledge for multilingual natural language processing. Machine Translation 2(2-3): 105-116 (1987)
	1986
27		Patricia Cheng, Jaime G. Carbonell: The FERMI System: Inducing Iterative Macro-Operators from Experience. AAAI 1986: 490-495
26		Wolfgang Wahlster, Jaime G. Carbonell, Gary G. Hendrix, Harry R. Tennant: Natural Language Interfaces - Ready for Commercial Success? COLING 1986: 161-167
25		Philip J. Hayes, Alexander G. Hauptmann, Jaime G. Carbonell, Masaru Tomita: Parsing Spoken Language: A Semantic Caseframe Approach. COLING 1986: 587-592
24		Masaru Tomita, Jaime G. Carbonell: Another Stride Towards Knowledge-Based Machine Translation. COLING 1986: 633-638
	1984
23		Jaime G. Carbonell: Is There Natural Language after Data Bases? COLING 1984: 186-187
22		Jaime G. Carbonell, Philip J. Hayes: Coping with Extragrammaticality. COLING 1984: 437-443
	1983
21		Jaime G. Carbonell: Derivational Analogy and Its Role in Problem Solving. AAAI 1983: 64-69
20		Jaime G. Carbonell: Discourse Pragmatics and Ellipsis Resolution in Task-Oriented Natural Language Interfaces. ACL 1983: 164-168
19		Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick: The XCALIBUR Project: A Natural Language Interface to Expert Systems. IJCAI 1983: 653-656
18		Philip J. Hayes, Jaime G. Carbonell: A Framework for Processing Corrections in Task-Oriented Dialogues. IJCAI 1983: 668-670
17		Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell: Machine Learning: A Historical and Methodological Analysis. AI Magazine 4(3): 69-79 (1983)
16		Jaime G. Carbonell, Philip J. Hayes: Recovery Strategies for Parsing Extragrammatical Language. American Journal of Computational Linguistics 9(3-4): 123-146 (1983)
	1982
15		Jaime G. Carbonell: Experiential Learning in Analogical Problem Solving. AAAI 1982: 168-171
14		Jaime G. Carbonell, Derek H. Sleeman: Artificial Intelligence Techniques and Methodology. AI Magazine 3(2): 47 (1982)
	1981
13		Jaime G. Carbonell, Philip J. Hayes: Dynamic Strategy Selection in Flexible Parsing. ACL 1981: 143-147
12		Jaime G. Carbonell: A Computational Model of Analogical Problem Solving. IJCAI 1981: 147-152
11		Philip J. Hayes, Jaime G. Carbonell: Multi-Strategy Construction-Specific Parsing for Flexible Data Base Query and Update. IJCAI 1981: 432-439
10		Jaime G. Carbonell: Counterplanning: A Strategy-Based Model of Adversary Planning in Real-World Situations. Artif. Intell. 16(3): 295-329 (1981)
	1980
9		Jaime G. Carbonell: DELTA-MIN: A Search-Control Method for Information-Gathering Problems. AAAI 1980: 124-127
8		Jaime G. Carbonell: Metapher - A Key to Extensible Semantic Analysis. ACL 1980
7		Jaime G. Carbonell: Default Reasoning and Inheritance Mechanisms on Type Hierarchies. Workshop on Data Abstraction, Databases and Conceptual Modelling 1980: 107-109
6		L. Peter Deutsch, Jaime G. Carbonell, Charles Rich, Raymond Reiter, Hartmut Wedekind, Patrick J. Hayes: Presentation (discussion). Workshop on Data Abstraction, Databases and Conceptual Modelling 1980: 62-71
5		John Miles Smith, Charles Rich, Jonathan J. King, Peter Hitchcock, Alexander Borgida, Jaime G. Carbonell: Consistency of Models (discussion). Workshop on Data Abstraction, Databases and Conceptual Modelling 1980: 72-76
4		Jaime G. Carbonell: Artificial Intelligence Research at Carnegie-Mellon University. AI Magazine 2(1): 29-34 (1980)
3		Jaime G. Carbonell: Towards a Process Model of Human Personality Traits. Artif. Intell. 15(1-2): 49-74 (1980)
	1979
2		Jaime G. Carbonell: Towards a Self-Extending Parser. ACL 1979
	1978
1		Jaime G. Carbonell, Roger C. Schank: Comments on the paper of Cherniavsky: "On artificial intelligence and attempts to disprove its existance". Inf. Syst. 3(3): 227-230 (1978)

Coauthor Index

1	Alison Alvarez	[105]
2	Vamshi Ambati	[105] [140] [147] [156] [162]
3	Peter G. Anick	[19]
4	Annie I. Antón	[75] [76] [79]
5	Roberto Aranovich	[105]
6	Jaime Arguello	[90] [102] [104] [109]
7	Bing Bai	[142] [155]
8	Paul N. Bennett	[80] [96] [97]
9	Matthew W. Bilotti	[145]
10	Jim Blythe (James Blythe)	[51]
11	W. Mark Boggs	[19]
12	Alexander Borgida	[5]
13	Daniel Borrajo	[51]
14	O. Brooks	[75] [76] [79]
15	Ralf D. Brown	[32] [53] [54] [65] [88] [144] [159]
16	James P. Callan (Jamie Callan)	[60] [62] [67] [89] [90] [102] [103] [104] [109] [116]
17	Dong Cao	[117] [129]
18	Vitor R. Carvalho (Vitor Rocha de Carvalho)	[101] [113]
19	Violetta Cavalli-Sforza	[75] [76] [79]
20	Weifeng Chen	[75] [76] [79]
21	Xi Chen	[126] [130] [131] [139] [142] [148] [152] [155] [160] [161]
22	Betty Yee Man Cheng	[82] [100] [141]
23	Patricia Cheng	[27]
24	Gary M. Ciany	[99]
25	Richard Cohen	[66]
26	William W. Cohen	[59] [113]
27	Ronald A. Cole	[75] [76] [79]
28	Kevyn Collins-Thompson	[62] [67]
29	R. Connolly	[75] [76] [79]
30	Krzysztof Czuba	[62]
31	L. Peter Deutsch	[6]
32	Pinar Donmez	[97] [108] [110] [112] [116] [125] [127] [135] [137]
33	Michael Duggan	[62]
34	Benjamin Van Durme	[67]
35	Jonathan L. Elsas	[90] [101] [102] [104] [109] [113] [116] [122] [145]
36	Oren Etzioni	[35] [38]
37	Eugene Fink	[51] [72] [117] [118] [119] [120] [121] [136] [153] [154]
38	José A. B. Fortes	[75] [76] [79]
39	Robert E. Frederking	[53] [54] [67] [105]
40	Michael Freed	[115]
41	Bin Fu	[119] [121]
42	Madhavi Ganapathiraju	[133] [134]
43	Rashmi Gangadharaiah	[88] [144] [159]
44	Judith Gelernter	[117] [129]
45	Yibing Geng	[53]
46	Anatole Gershman	[119] [121]
47	Yolanda Gil	[35] [38]
48	Aaron Goldstein	[72]
49	Jade Goldstein-Stewart (Jade Goldstein)	[55] [57] [58] [60] [99]
50	Kenneth Goodman	[45]
51	Vanathi Gopalakrishnan	[71] [73] [81] [85] [93]
52	Geoffrey J. Gordon	[115]
53	Angela Gugliotta	[31]
54	Steve Hanneke	[146] [149] [150]
55	Alexander G. Hauptmann	[25]
56	Jordan Hayes	[115]
57	Patrick J. Hayes	[6]
58	Philip J. Hayes	[11] [13] [16] [18] [22] [25] [72] [83]
59	Jingrui He	[92] [94] [107] [123] [128] [138] [143]
60	Qingfeng He	[75] [76] [79]
61	James A. Hendler (Jim Hendler)	[52]
62	Gary G. Hendrix	[26]
63	M. Herrera	[75] [76] [79]
64	Peter Hitchcock	[5]
65	Laurie Hiyakumoto	[62] [67]
66	N. Hu	[62]
67	Tzu-Kuo Huang	[139]
68	Yifen Huang	[62] [67]
69	Curtis Huttenhower	[67]
70	Peter J. Jansen	[75] [76] [79]
71	Matt Jennings	[118]
72	Chun Jin	[63] [83] [86] [87] [106]
73	Rong Jin	[68]
74	Robert Joseph	[38]
75	Scott Judy	[67]
76	Mark Kantrowitz	[57] [58]
77	T. R. Kasad	[75] [76] [79]
78	Seyoung Kim	[130] [131] [152] [161]
79	Jonathan J. King	[5]
80	Judith Klein-Seetharaman	[71] [73] [82] [124] [132] [151]
81	Craig A. Knoblock	[35] [38]
82	Jeongwoo Ko	[62] [67]
83	Meghana Kshirsagar	[151]
84	Daniel Kuokka	[35]
85	Anna Kupsc	[67]
86	James Tin-Yau Kwok (James T. Kwok)	[126]
87	Jill H. Larkin	[31]
88	Alon Lavie	[61] [65] [66] [98] [105] [111]
89	Danny Lee	[53]
90	Douglas B. Lenat	[52]
91	Lori S. Levin	[61] [65] [66] [98] [105] [111]
92	Qihang Lin	[130] [131] [142] [152] [155] [161]
93	Lucian Vlad Lita	[62] [67] [69] [74] [77] [91] [95]
94	Han Liu	[148] [160]
95	Yan Liu	[64] [68] [71] [73] [81] [84] [85] [93] [94] [148]
96	Ariadna Font Llitjós	[66] [78] [105]
97	Raymond Lu	[117]
98	Andréa M. Matsunaga	[75] [76] [79]
99	Michael L. Mauldin	[19]
100	C. McSweeney	[75] [76] [79]
101	Ryszard S. Michalski	[17]
102	Steven Minton	[30] [35] [38]
103	Daniel P. Miranker (Dan Miranker)	[44]
104	Teruko Mitamura	[49] [62] [67]
105	Tom M. Mitchell	[17]
106	Vibhu O. Mittal	[57] [58] [60]
107	Riichiro Mizoguchi	[52]
108	Thahir P. Mohamed	[134]
109	Christian Monson	[65] [98] [105] [111]
110	G. A. Murillo	[79]
111	S. Murtagh	[62]
112	Brad A. Myers	[115]
113	Radu Stefan Niculescu	[91]
114	Sergei Nirenburg	[28] [45]
115	Eric Nyberg	[49] [62] [67] [145]
116	C. Ortega	[75] [76] [79]
117	Hatice U. Osmanbeyoglu	[133]
118	Weike Pan	[126]
119	M. Patil	[75] [76] [79]
120	Vasco Pedro	[62] [67] [91]
121	Javier Peña	[130]
122	M. Alicia Pérez	[50] [51]
123	Mark Perlin	[44]
124	Erik Peterson	[61] [65] [66] [105]
125	Thomas Pierce	[56]
126	B. Piñeres	[75] [76] [79]
127	Katharina Probst	[61] [65] [66] [78] [105]
128	Yanjun Qi	[124] [132] [142] [155]
129	Bharat Rao	[91]
130	Frederick Reif	[31]
131	Raymond Reiter	[6]
132	Rachel Reynolds	[66]
133	Charles Rich	[5] [6]
134	Monica Rogati	[69] [114]
135	Paul S. Rosenbloom	[52]
136	Konstantin Salomatin	[118]
137	Ankur Sarin	[120]
138	Roger C. Schank	[1]
139	Jeff G. Schneider	[125] [137] [139]
140	Mehrbod Sharifi	[136] [153] [154]
141	Peter Shell	[37]
142	Daniel P. Siewiorek	[115]
143	Irtisha Singh	[151]
144	Derek H. Sleeman	[14]
145	John Miles Smith	[5]
146	Stephen Smith	[115]
147	Aaron Steinfeld	[115]
148	Salvatore J. Stolfo	[44]
149	S. Su	[75] [76] [79]
150	David Svoboda	[62] [67]
151	Milind Tambe	[44]
152	Oznur Tastan	[124] [132] [151]
153	P. Taveras	[75] [76] [79]
154	Harry R. Tennant	[26]
155	Anthony Tomasic	[115]
156	Masaru Tomita	[24] [25] [29] [45]
157	Hanghang Tong	[143]
158	Donald F. Towsley (Don Towsley)	[75] [76] [79]
159	Maurício O. Tsugawa	[75] [76] [79]
160	Selen Uguroglu	[157]
161	Manuela M. Veloso	[38] [42] [46] [51]
162	J. Ventura	[75] [76] [79]
163	Stephan Vogel	[66] [140] [147] [156] [162]
164	Wolfgang Wahlster	[26]
165	Wayne Ward	[75] [76] [79]
166	Hartmut Wedekind	[6]
167	Jessica A. Wehner	[133]
168	Peter Weigele	[81] [85] [93]
169	Jason Weston	[132]
170	Junfeng Xia	[151]
171	Eric P. Xing	[84] [130] [131] [152] [161]
172	Liang Xiong	[139]
173	Liu Yang	[146] [149] [150]
174	Yiming Yang	[53] [54] [56] [59] [63] [64] [114] [158]
175	Changkuk Yoo	[102]
176	Shinjae Yoo	[158]
177	Jian Zhang	[63]
178	Le Zhao	[89]
179	Zhongming Zhao	[151]
180	Yangbo Zhu	[89] [103]
181	L. deBrens	[75] [76] [79]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page