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Jaime G. Carbonell Vis

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*2009
110EEPinar Donmez, Jaime G. Carbonell: Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve. ECIR 2009: 78-89
109EEPinar Donmez, Jaime G. Carbonell, Jeff Schneider: Efficiently learning the accuracy of labeling sources for selective sampling. KDD 2009: 259-268
108EEJingrui He, Jaime G. Carbonell: Prior-Free Rare Category Detection. SDM 2009: 155-163
107EEJonathan 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
105EEMonica Rogati, Yiming Yang, Jaime G. Carbonell: Corpus microsurgery: criteria optimization for medical cross-language ir. CIKM 2008: 1365-1366
104EEVitor R. Carvalho, Jonathan L. Elsas, William W. Cohen, Jaime G. Carbonell: Suppressing outliers in pairwise preference ranking. CIKM 2008: 1487-1488
103EEPinar Donmez, Jaime G. Carbonell: Proactive learning: cost-sensitive active learning with multiple imperfect oracles. CIKM 2008: 619-628
102EEChristian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin: ParaMor and Morpho Challenge 2008. CLEF 2008: 967-974
101EEPinar Donmez, Jaime G. Carbonell: Optimizing estimated loss reduction for active sampling in rank learning. ICML 2008: 248-255
100EEChun Jin, Jaime G. Carbonell: Predicate Indexing for Incremental Multi-Query Optimization. ISMIS 2008: 339-350
99EEJonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell: Retrieval and feedback models for blog feed search. SIGIR 2008: 347-354
98EEYangbo Zhu, Jamie Callan, Jaime G. Carbonell: The impact of history length on personalized search. SIGIR 2008: 715-716
97EEJaime Arguello, Jonathan L. Elsas, Changkuk Yoo, Jamie Callan, Jaime G. Carbonell: Document and Query Expansion Models for Blog Distillation. TREC 2008
96EEJonathan L. Elsas, Vitor R. Carvalho, Jaime G. Carbonell: Fast learning of document ranking functions with the committee perceptron. WSDM 2008: 55-64
2007
95EEBetty Yee Man Cheng, Jaime G. Carbonell: Combining N-grams and Alignment in G-protein Coupling Specificity Prediction. APBC 2007: 363-372
94EEJade Goldstein, Gary M. Ciany, Jaime G. Carbonell: Genre identification and goal-focused summarization. CIKM 2007: 889-892
93EEChristian Monson, Jaime G. Carbonell, Alon Lavie, Lori S. Levin: ParaMor: Finding Paradigms across Morphology. CLEF 2007: 900-907
92EEPinar Donmez, Jaime G. Carbonell, Paul N. Bennett: Dual Strategy Active Learning. ECML 2007: 116-127
91EEPaul N. Bennett, Jaime G. Carbonell: Combining Probability-Based Rankers for Action-Item Detection. HLT-NAACL 2007: 324-331
90EELucian Vlad Lita, Jaime G. Carbonell: Cluster-Based Selection of Statistical Answering Strategies. IJCAI 2007: 1653-1658
89EEJingrui He, Jaime G. Carbonell, Yan Liu: Graph-Based Semi-Supervised Learning as a Generative Model. IJCAI 2007: 2492-2497
88EEYan Liu, Jaime G. Carbonell, Vanathi Gopalakrishnan, Peter Weigele: Protein Quaternary Fold Recognition Using Conditional Graphical Models. IJCAI 2007: 937-945
87EEJingrui He, Jaime G. Carbonell: Nearest-Neighbor-Based Active Learning for Rare Category Detection. NIPS 2007
86EEVasco Pedro, Lucian Vlad Lita, Stefan Niculescu, Bharat Rao, Jaime G. Carbonell: Federated Ontology Search for the Medical Domain. OTM Workshops (1) 2007: 554-565
85EEJonathan L. Elsas, Jaime Arguello, Jamie Callan, Jaime G. Carbonell: Retrieval and Feedback Models for Blog Distillation. TREC 2007
84EEYangbo Zhu, Le Zhao, Jamie Callan, Jaime G. Carbonell: Stuctured Queries for Legal Search. TREC 2007
2006
83EERashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell: Spectral Clustering for Example Based Machine Translation. HLT-NAACL 2006
82EEChun Jin, Jaime G. Carbonell: ARGUS: Efficient Scalable Continuous Query Optimization for Large-Volume Data Streams. IDEAS 2006: 256-262
81EEChun Jin, Jaime G. Carbonell: Incremental Aggregation on Multiple Continuous Queries. ISMIS 2006: 167-177
80EEYan 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
79EEYan Liu, Eric P. Xing, Jaime G. Carbonell: Predicting protein folds with structural repeats using a chain graph model. ICML 2005: 513-520
78EEChun Jin, Jaime G. Carbonell, Philip J. Hayes: ARGUS: Rete + DBMS = Efficient Persistent Profile Matching on Large-Volume Data Streams. ISMIS 2005: 142-151
77EEBetty 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
76EEYan Liu, Jaime G. Carbonell, Peter Weigele, Vanathi Gopalakrishnan: Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition. RECOMB 2005: 408-422
75EEPaul N. Bennett, Jaime G. Carbonell: Detecting action-items in e-mail. SIGIR 2005: 585-586
2004
74EEAriadna 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
73EELucian Vlad Lita, Jaime G. Carbonell: Unsupervised question answering data acquisition from local corpora. CIKM 2004: 607-614
72EES. 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
71EES. 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
70EEYan Liu, Jaime G. Carbonell, Judith Klein-Seetharaman, Vanathi Gopalakrishnan: Context sensitive vocabulary and its application in protein secondary structure prediction. SIGIR 2004: 538-539
69EEEugene Fink, Aaron Goldstein, Philip J. Hayes, Jaime G. Carbonell: Search for approximate matches in large databases. SMC (2) 2004: 1431-1435
68EEYan 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
67EEJaime G. Carbonell: Grand challenges for information management. CIKM 2003: 1
66EELucian Vlad Lita, Monica Rogati, Jaime G. Carbonell: Cross Lingual QA: A Modular Baseline in CLEF 2003. CLEF 2003: 535-540
65EEYan Liu, Jaime G. Carbonell, Rong Jin: A New Pairwise Ensemble Approach for Text Classification. ECML 2003: 277-288
64EEEric 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
63EEAlon 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
62EEJaime 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
61EEYan Liu, Yiming Yang, Jaime G. Carbonell: Boosting to correct inductive bias in text classification. CIKM 2002: 348-355
60EEYiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin: Topic-conditioned novelty detection. KDD 2002: 688-693
59EEEric 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
58EEKatharina 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
57EEJade 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
54EEJade Goldstein, Mark Kantrowitz, Vibhu O. Mittal, Jaime G. Carbonell: Summarizing Text Documents: Sentence Selection and Evaluation Metrics. SIGIR 1999: 121-128
1998
53EEYiming Yang, Thomas Pierce, Jaime G. Carbonell: A Study of Retrospective and On-Line Event Detection. SIGIR 1998: 28-36
52EEJaime G. Carbonell, Jade Goldstein: The Use of MMR, Diversity-Based Reranking for Reordering Documents and Producing Summaries. SIGIR 1998: 335-336
51EEYiming 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
47EEEric 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
45EEJaime 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
41EEManuela M. Veloso, Jaime G. Carbonell: Learning by Analogical Replay in PRODIGY: First Results. EWSL 1991: 375-390
40EEJaime 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
27EESergei 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
22EEJaime G. Carbonell: Is There Natural Language after Data Bases? COLING 1984: 186-187
21EEJaime 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
8EEJaime G. Carbonell: Metapher - A Key to Extensible Semantic Analysis. ACL 1980
7EEJaime G. Carbonell: Default Reasoning and Inheritance Mechanisms on Type Hierarchies. Workshop on Data Abstraction, Databases and Conceptual Modelling 1980: 107-109
6EEL. 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
5EEJohn 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
2EEJaime 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

1Peter G. Anick [19]
2Annie I. Antón [71] [72]
3Jaime Arguello [85] [97] [99]
4Paul N. Bennett [75] [91] [92]
5W. Mark Boggs [19]
6Alexander Borgida [5]
7O. Brooks [71] [72]
8Ralf D. Brown [31] [50] [51] [62] [83]
9James P. Callan (Jamie Callan) [57] [59] [64] [84] [85] [97] [98] [99]
10Vitor R. Carvalho (Vitor Rocha de Carvalho) [96] [104]
11Violetta Cavalli-Sforza [71] [72]
12Weifeng Chen [71] [72]
13Betty Yee Man Cheng [77] [95]
14Patricia Cheng [26]
15Gary M. Ciany [94]
16Richard Cohen [63]
17William W. Cohen [56] [104]
18R. Cole [71] [72]
19Kevyn Collins-Thompson [59] [64]
20R. Connolly [71] [72]
21Krzysztof Czuba [59]
22L. Peter Deutsch [6]
23Pinar Donmez [92] [101] [103] [109] [110]
24Michael Duggan [59]
25Benjamin Van Durme [64]
26Jonathan L. Elsas [85] [96] [97] [99] [104] [107]
27Oren Etzioni [34] [37]
28Eugene Fink [69]
29José A. B. Fortes [71] [72]
30Robert E. Frederking [50] [51] [64]
31Michael Freed [106]
32Rashmi Gangadharaiah [83]
33Yibing Geng [50]
34Yolanda Gil [34] [37]
35Aaron Goldstein [69]
36Jade Goldstein-Stewart (Jade Goldstein) [52] [54] [55] [57] [94]
37Vanathi Gopalakrishnan [68] [70] [76] [80] [88]
38Geoffrey J. Gordon [106]
39Angela Gugliotta [30]
40Alexander G. Hauptmann [24]
41Jordan Hayes [106]
42Patrick J. Hayes [6]
43Philip J. Hayes [11] [16] [18] [21] [24] [69] [78]
44Jingrui He [87] [89] [108]
45Qingfeng He [71] [72]
46James A. Hendler (Jim Hendler) [49]
47Gary G. Hendrix [25]
48M. Herrera [71] [72]
49Peter Hitchcock [5]
50Laurie Hiyakumoto [59] [64]
51N. Hu [59]
52Yifen Huang [59] [64]
53Curtis Huttenhower [64]
54Peter J. Jansen [71] [72]
55Chun Jin [60] [78] [81] [82] [100]
56Rong Jin [65]
57Robert Joseph [37]
58Scott Judy [64]
59Mark Kantrowitz [54] [55]
60T. R. Kasad [71] [72]
61Jonathan J. King [5]
62Judith Klein-Seetharaman [68] [70] [77]
63Craig A. Knoblock [34] [37]
64Jeongwoo Ko [59] [64]
65Daniel Kuokka [34]
66Anna Kupsc [64]
67Jill H. Larkin [30]
68Alon Lavie [58] [62] [63] [93] [102]
69Danny Lee [50]
70Douglas B. Lenat [49]
71Lori S. Levin [58] [62] [63] [93] [102]
72Lucian Vlad Lita [59] [64] [66] [73] [86] [90]
73Yan Liu (Yan (Jenny) Liu) [61] [65] [68] [70] [76] [79] [80] [88] [89]
74Ariadna Font Llitjós [63] [74]
75Andréa M. Matsunaga [71] [72]
76Michael L. Mauldin [19]
77C. McSweeney [71] [72]
78Ryszard S. Michalski [17]
79Steven Minton [29] [34] [37]
80Daniel P. Miranker (Dan Miranker) [43]
81Teruko Mitamura [47] [59] [64]
82Tom M. Mitchell [17]
83Vibhu O. Mittal [54] [55] [57]
84Riichiro Mizoguchi [49]
85Christian Monson [62] [93] [102]
86S. Murtagh [59]
87Brad A. Myers [106]
88Stefan Niculescu [86]
89Sergei Nirenburg [27]
90Eric Nyberg [47] [59] [64]
91C. Ortega [71] [72]
92M. Patil [71] [72]
93Vasco Pedro [59] [64] [86]
94M. Alicia Pérez [48]
95Mark Perlin [43]
96Erik Peterson [58] [62] [63]
97Thomas Pierce [53]
98B. Piñeres [71] [72]
99Katharina Probst [58] [62] [63] [74]
100Bharat Rao [86]
101Frederick Reif [30]
102Raymond Reiter [6]
103Rachel Reynolds [63]
104Charles Rich [5] [6]
105Monica Rogati [66] [105]
106Paul S. Rosenbloom [49]
107Roger C. Schank [1]
108Jeff Schneider [109]
109Peter Shell [36]
110Daniel P. Siewiorek [106]
111Derek H. Sleeman [14]
112John Miles Smith [5]
113Stephen Smith [106]
114Aaron Steinfeld [106]
115Salvatore J. Stolfo [43]
116S. Su [71] [72]
117David Svoboda [59] [64]
118Milind Tambe [43]
119P. Taveras [71] [72]
120Harry R. Tennant [25]
121Anthony Tomasic [106]
122Masaru Tomita [23] [24] [28]
123Donald F. Towsley [71] [72]
124Maurício O. Tsugawa [71] [72]
125Manuela M. Veloso [37] [41] [44]
126J. Ventura [71] [72]
127Stephan Vogel [63]
128Wolfgang Wahlster [25]
129W. Ward [71] [72]
130Hartmut Wedekind [6]
131Peter Weigele [76] [80] [88]
132Eric P. Xing [79]
133Yiming Yang [50] [51] [53] [56] [60] [61] [105]
134Changkuk Yoo [97]
135Jian Zhang [60]
136Le Zhao [84]
137Yangbo Zhu [84] [98]
138L. deBrens [71] [72]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)