 | 2009 |
|---|
| 110 |       | Pinar Donmez,
Jaime G. Carbonell:
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve.
ECIR 2009: 78-89 |
| 109 | | Pinar Donmez,
Jaime G. Carbonell,
Jeff Schneider:
Efficiently learning the accuracy of labeling sources for selective sampling.
KDD 2009: 259-268 |
| 108 | | Jingrui He,
Jaime G. Carbonell:
Prior-Free Rare Category Detection.
SDM 2009: 155-163 |
| 107 | | Jonathan L. Elsas,
Jaime G. Carbonell:
It pays to be picky: an evaluation of thread retrieval in online forums.
SIGIR 2009: 714-715 |
| 2008 |
|---|
| 106 |  | 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 |
| 105 | | Monica Rogati,
Yiming Yang,
Jaime G. Carbonell:
Corpus microsurgery: criteria optimization for medical cross-language ir.
CIKM 2008: 1365-1366 |
| 104 | | Vitor R. Carvalho,
Jonathan L. Elsas,
William W. Cohen,
Jaime G. Carbonell:
Suppressing outliers in pairwise preference ranking.
CIKM 2008: 1487-1488 |
| 103 | | Pinar Donmez,
Jaime G. Carbonell:
Proactive learning: cost-sensitive active learning with multiple imperfect oracles.
CIKM 2008: 619-628 |
| 102 | | Christian Monson,
Jaime G. Carbonell,
Alon Lavie,
Lori S. Levin:
ParaMor and Morpho Challenge 2008.
CLEF 2008: 967-974 |
| 101 | | Pinar Donmez,
Jaime G. Carbonell:
Optimizing estimated loss reduction for active sampling in rank learning.
ICML 2008: 248-255 |
| 100 | | Chun Jin,
Jaime G. Carbonell:
Predicate Indexing for Incremental Multi-Query Optimization.
ISMIS 2008: 339-350 |
| 99 | | Jonathan L. Elsas,
Jaime Arguello,
Jamie Callan,
Jaime G. Carbonell:
Retrieval and feedback models for blog feed search.
SIGIR 2008: 347-354 |
| 98 | | Yangbo Zhu,
Jamie Callan,
Jaime G. Carbonell:
The impact of history length on personalized search.
SIGIR 2008: 715-716 |
| 97 | | Jaime Arguello,
Jonathan L. Elsas,
Changkuk Yoo,
Jamie Callan,
Jaime G. Carbonell:
Document and Query Expansion Models for Blog Distillation.
TREC 2008 |
| 96 | | Jonathan L. Elsas,
Vitor R. Carvalho,
Jaime G. Carbonell:
Fast learning of document ranking functions with the committee perceptron.
WSDM 2008: 55-64 |
| 2007 |
|---|
| 95 | | Betty Yee Man Cheng,
Jaime G. Carbonell:
Combining N-grams and Alignment in G-protein Coupling Specificity Prediction.
APBC 2007: 363-372 |
| 94 | | Jade Goldstein,
Gary M. Ciany,
Jaime G. Carbonell:
Genre identification and goal-focused summarization.
CIKM 2007: 889-892 |
| 93 | | Christian Monson,
Jaime G. Carbonell,
Alon Lavie,
Lori S. Levin:
ParaMor: Finding Paradigms across Morphology.
CLEF 2007: 900-907 |
| 92 | | Pinar Donmez,
Jaime G. Carbonell,
Paul N. Bennett:
Dual Strategy Active Learning.
ECML 2007: 116-127 |
| 91 | | Paul N. Bennett,
Jaime G. Carbonell:
Combining Probability-Based Rankers for Action-Item Detection.
HLT-NAACL 2007: 324-331 |
| 90 | | Lucian Vlad Lita,
Jaime G. Carbonell:
Cluster-Based Selection of Statistical Answering Strategies.
IJCAI 2007: 1653-1658 |
| 89 | | Jingrui He,
Jaime G. Carbonell,
Yan Liu:
Graph-Based Semi-Supervised Learning as a Generative Model.
IJCAI 2007: 2492-2497 |
| 88 | | Yan Liu,
Jaime G. Carbonell,
Vanathi Gopalakrishnan,
Peter Weigele:
Protein Quaternary Fold Recognition Using Conditional Graphical Models.
IJCAI 2007: 937-945 |
| 87 | | Jingrui He,
Jaime G. Carbonell:
Nearest-Neighbor-Based Active Learning for Rare Category Detection.
NIPS 2007 |
| 86 | | Vasco Pedro,
Lucian Vlad Lita,
Stefan Niculescu,
Bharat Rao,
Jaime G. Carbonell:
Federated Ontology Search for the Medical Domain.
OTM Workshops (1) 2007: 554-565 |
| 85 | | Jonathan L. Elsas,
Jaime Arguello,
Jamie Callan,
Jaime G. Carbonell:
Retrieval and Feedback Models for Blog Distillation.
TREC 2007 |
| 84 | | Yangbo Zhu,
Le Zhao,
Jamie Callan,
Jaime G. Carbonell:
Stuctured Queries for Legal Search.
TREC 2007 |
| 2006 |
|---|
| 83 | | Rashmi Gangadharaiah,
Ralf D. Brown,
Jaime G. Carbonell:
Spectral Clustering for Example Based Machine Translation.
HLT-NAACL 2006 |
| 82 | | Chun Jin,
Jaime G. Carbonell:
ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams.
IDEAS 2006: 256-262 |
| 81 | | Chun Jin,
Jaime G. Carbonell:
Incremental Aggregation on Multiple Continuous Queries.
ISMIS 2006: 167-177 |
| 80 | | 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 |
|---|
| 79 | | Yan Liu,
Eric P. Xing,
Jaime G. Carbonell:
Predicting protein folds with structural repeats using a chain graph model.
ICML 2005: 513-520 |
| 78 | | Chun Jin,
Jaime G. Carbonell,
Philip J. Hayes:
ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams.
ISMIS 2005: 142-151 |
| 77 | | 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 |
| 76 | | 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 |
| 75 | | Paul N. Bennett,
Jaime G. Carbonell:
Detecting action-items in e-mail.
SIGIR 2005: 585-586 |
| 2004 |
|---|
| 74 | | 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 |
| 73 | | Lucian Vlad Lita,
Jaime G. Carbonell:
Unsupervised question answering data acquisition from local corpora.
CIKM 2004: 607-614 |
| 72 | | 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,
W. Ward,
R. 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 |
| 71 | | 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,
W. Ward,
R. 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 |
| 70 | | 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 |
| 69 | | Eugene Fink,
Aaron Goldstein,
Philip J. Hayes,
Jaime G. Carbonell:
Search for approximate matches in large databases.
SMC (2) 2004: 1431-1435 |
| 68 | | 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 |
|---|
| 67 | | Jaime G. Carbonell:
Grand challenges for information management.
CIKM 2003: 1 |
| 66 | | Lucian Vlad Lita,
Monica Rogati,
Jaime G. Carbonell:
Cross Lingual QA: A Modular Baseline in CLEF 2003.
CLEF 2003: 535-540 |
| 65 | | Yan Liu,
Jaime G. Carbonell,
Rong Jin:
A New Pairwise Ensemble Approach for Text Classification.
ECML 2003: 277-288 |
| 64 | | 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 |
| 63 | | 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 |
|---|
| 62 | | 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 |
| 61 | | Yan Liu,
Yiming Yang,
Jaime G. Carbonell:
Boosting to correct inductive bias in text classification.
CIKM 2002: 348-355 |
| 60 | | Yiming Yang,
Jian Zhang,
Jaime G. Carbonell,
Chun Jin:
Topic-conditioned novelty detection.
KDD 2002: 688-693 |
| 59 | | 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 |
| 58 | | 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 |
|---|
| 57 | | Jade Goldstein,
Vibhu O. Mittal,
Jaime G. Carbonell,
James P. Callan:
Creating and Evaluating Multi-Document Sentence Extract Summaries.
CIKM 2000: 165-172 |
| 56 | | 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 |
|---|
| 55 | | Vibhu O. Mittal,
Mark Kantrowitz,
Jade Goldstein,
Jaime G. Carbonell:
Selecting Text Spans for Document Summaries: Heuristics and Metrics.
AAAI/IAAI 1999: 467-473 |
| 54 | | Jade Goldstein,
Mark Kantrowitz,
Vibhu O. Mittal,
Jaime G. Carbonell:
Summarizing Text Documents: Sentence Selection and Evaluation Metrics.
SIGIR 1999: 121-128 |
| 1998 |
|---|
| 53 | | Yiming Yang,
Thomas Pierce,
Jaime G. Carbonell:
A Study of Retrospective and On-Line Event Detection.
SIGIR 1998: 28-36 |
| 52 | | Jaime G. Carbonell,
Jade Goldstein:
The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries.
SIGIR 1998: 335-336 |
| 51 | | 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 |
|---|
| 50 | | 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 |
|---|
| 49 | | 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 |
| 1994 |
|---|
| 48 | | M. Alicia Pérez,
Jaime G. Carbonell:
Control Knowledge to Improve Plan Quality.
AIPS 1994: 323-328 |
| 47 | | Eric Nyberg,
Teruko Mitamura,
Jaime G. Carbonell:
Evaluation Metrics for Knowledge-Based Machine Translation.
COLING 1994: 95-99 |
| 46 | | Jaime G. Carbonell:
Knowledge Representation Issues in Integrated Planning and Learning Systems (Abstract).
KR 1994: 633 |
| 1993 |
|---|
| 45 | | Jaime G. Carbonell:
Lessons from TIPSTER/SHOGUN/JANUS.
SIGIR 1993: 225 |
| 44 | | Manuela M. Veloso,
Jaime G. Carbonell:
Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization.
Machine Learning 10: 249-278 (1993) |
| 1992 |
|---|
| 43 | | Mark Perlin,
Jaime G. Carbonell,
Daniel P. Miranker,
Salvatore J. Stolfo,
Milind Tambe:
Is Production System Match Interesting?
ICTAI 1992: 2-3 |
| 42 | | Jaime G. Carbonell:
Machine Learning: A Maturing Field.
Machine Learning 9: 5-7 (1992) |
| 1991 |
|---|
| 41 | | Manuela M. Veloso,
Jaime G. Carbonell:
Learning by Analogical Replay in PRODIGY: First Results.
EWSL 1991: 375-390 |
| 40 | | Jaime G. Carbonell:
Session 3: Machine Translation.
HLT 1991 |
| 39 | | Jaime G. Carbonell:
Editorial.
Machine Learning 6: 5 (1991) |
| 38 | | Jaime G. Carbonell:
Editorial.
Machine Learning 7: 5 (1991) |
| 37 | | 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 |
|---|
| 36 | | Peter Shell,
Jaime G. Carbonell:
Towards a General Framework for Composing Disjunctive and Iterative Macro-operators.
IJCAI 1989: 596-602 |
| 35 | | Jaime G. Carbonell:
Introduction: Paradigms for Machine Learning.
Artif. Intell. 40(1-3): 1-9 (1989) |
| 34 | | 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) |
| 33 | | Jaime G. Carbonell:
Editorial.
Machine Learning 4: 113-115 (1989) |
| 32 | | Jaime G. Carbonell:
Editorial.
Machine Learning 4: 5-6 (1989) |
| 1988 |
|---|
| 31 | | Jaime G. Carbonell,
Ralf D. Brown:
Anaphora resolution: a multy-strategy approach.
COLING 1988: 96-101 |
| 30 | | 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 |
|---|
| 29 | | Steven Minton,
Jaime G. Carbonell:
Strategies for Learning Search Control Rules: An Explanation-based Approach.
IJCAI 1987: 228-235 |
| 28 | | Masaru Tomita,
Jaime G. Carbonell:
The Universal Parser Architecture for Knowledge-based Machine Translation.
IJCAI 1987: 718-721 |
| 27 | | 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 |
|---|
| 26 | | Patricia Cheng,
Jaime G. Carbonell:
The FERMI System: Inducing Iterative Macro-Operators from Experience.
AAAI 1986: 490-495 |
| 25 | | Wolfgang Wahlster,
Jaime G. Carbonell,
Gary G. Hendrix,
Harry R. Tennant:
Natural Language Interfaces - Ready for Commercial Success?
COLING 1986: 161-167 |
| 24 | | Philip J. Hayes,
Alexander G. Hauptmann,
Jaime G. Carbonell,
Masaru Tomita:
Parsing Spoken Language: A Semantic Caseframe Approach.
COLING 1986: 587-592 |
| 23 | | Masaru Tomita,
Jaime G. Carbonell:
Another Stride Towards Knowledge-Based Machine Translation.
COLING 1986: 633-638 |
| 1984 |
|---|
| 22 | | Jaime G. Carbonell:
Is There Natural Language after Data Bases?
COLING 1984: 186-187 |
| 21 | | Jaime G. Carbonell,
Philip J. Hayes:
Coping with Extragrammaticality.
COLING 1984: 437-443 |
| 1983 |
|---|
| 20 | | Jaime G. Carbonell:
Derivational Analogy and Its Role in Problem Solving.
AAAI 1983: 64-69 |
| 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:
A Computational Model of Analogical Problem Solving.
IJCAI 1981: 147-152 |
| 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) |
