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Russell Greiner Vis

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*2009
110EEAliaksei Kerhet, Cormac Small, Harvey Quon, Terence Riauka, Russell Greiner, Alexander McEwan, Wilson Roa: Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach. AIME 2009: 146-155
109EEOliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi: A new hybrid method for Bayesian network learning With dependency constraints. CIDM 2009: 53-60
108EEBarnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant: Learning when to stop thinking and do something! ICML 2009: 104
107EEAlireza Farhangfar, Russell Greiner, Csaba Szepesvári: Learning to segment from a few well-selected training images. ICML 2009: 39
106EEDavid S. Wishart, Craig Knox, Anchi Guo, Roman Eisner, Nelson Young, Bijaya Gautam, David D. Hau, Nick Psychogios, Edison Dong, Souhaila Bouatra, Rupasri Mandal, Igor Sinelnikov, Jianguo Xia, Leslie Jia, Joseph A. Cruz, Emilia Lim, Constance A. Sobsey, Savita Shrivastava, Paul Huang, Philip Liu, Lydia Fang, Jun Peng, Ryan Fradette, Dean Cheng, Dan Tzur, Melisa Clements, Avalyn Lewis, Andrea De Souza, Azaret Zuniga, Margot Dawe, Yeping Xiong, Derrick Clive, Russell Greiner, Alsu Nazyrova, Rustem Shaykhutdinov, Liang Li, Hans J. Vogel, Ian J. Forsythe: HMDB: a knowledgebase for the human metabolome. Nucleic Acids Research 37(Database-Issue): 603-610 (2009)
2008
105 Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner, Shaojun Wang, Albert Murtha: Constrained Classification on Structured Data. AAAI 2008: 1812-1813
104 Alejandro Isaza, Jieshan Lu, Vadim Bulitko, Russell Greiner: A Cover-Based Approach to Multi-Agent Moving Target Pursuit. AIIDE 2008
103 Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: A Mixture Imputation-Boosted Collaborative Filter. FLAIRS Conference 2008: 312-316
102EEIlya Levner, Russell Greiner, Hong Zhang: Supervised image segmentation via ground truth decomposition. ICIP 2008: 737-740
101EEXiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Using Imputation Techniques to Help Learn Accurate Classifiers. ICTAI (1) 2008: 437-444
100EEChi-Hoon Lee, Shaojun Wang, Albert Murtha, Matthew R. G. Brown, Russell Greiner: Segmenting Brain Tumors Using Pseudo-Conditional Random Fields. MICCAI (1) 2008: 359-366
99EEXiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner: Imputation-boosted collaborative filtering using machine learning classifiers. SAC 2008: 949-950
98EEAlejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner: Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. UAI 2008: 306-314
97EEXiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Imputed Neighborhood Based Collaborative Filtering. Web Intelligence 2008: 633-639
96EETim Van Allen, Ajit Singh, Russell Greiner, Peter Hooper: Quantifying the uncertainty of a belief net response: Bayesian error-bars for belief net inference. Artif. Intell. 172(4-5): 483-513 (2008)
95EEAlona Fyshe, Yifeng Liu, Duane Szafron, Russell Greiner, Paul Lu: Improving subcellular localization prediction using text classification and the gene ontology. Bioinformatics 24(21): 2512-2517 (2008)
94EEChi-Hoon Lee, Osmar R. Zaïane, Ho-Hyun Park, Jiayuan Huang, Russell Greiner: Clustering high dimensional data: A graph-based relaxed optimization approach. Inf. Sci. 178(23): 4501-4511 (2008)
2007
93EEOliver Schulte, Wei Luo, Russell Greiner: Mind Change Optimal Learning of Bayes Net Structure. COLT 2007: 187-202
92EEYuhong Guo, Russell Greiner: Optimistic Active-Learning Using Mutual Information. IJCAI 2007: 823-829
91EEDavid S. Wishart, Russell Greiner: Session Introduction. Pacific Symposium on Biocomputing 2007: 112-114
90EEXiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu: Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. Web Intelligence 2007: 645-649
89EELihong Li, Vadim Bulitko, Russell Greiner: Focus of Attention in Reinforcement Learning. J. UCS 13(9): 1246-1269 (2007)
88EEDavid S. Wishart, Dan Tzur, Craig Knox, Roman Eisner, Anchi Guo, Nelson Young, Dean Cheng, Kevin Jewell, David Arndt, Summit Sawhney, Chris Fung, Lisa Nikolai, Mike Lewis, Marie-Aude Coutouly, Ian J. Forsythe, Peter Tang, Savita Shrivastava, Kevin Jeroncic, Paul Stothard, Godwin Amegbey, David Block, David D. Hau, James Wagner, Jessica Miniaci, Melisa Clements, Mulu Gebremedhin, Natalie Guo, Ying Zhang, Gavin E. Duggan, Glen D. MacInnis, Alim M. Weljie, Reza Dowlatabadi, Fiona Bamforth, Derrick Clive, Russell Greiner, Liang Li, Tom Marrie, Brian D. Sykes, Hans J. Vogel, Lori Querengesser: HMDB: the Human Metabolome Database. Nucleic Acids Research 35(Database-Issue): 521-526 (2007)
2006
87 Brett Poulin, Roman Eisner, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Cam Macdonell, John Anvik: Visual Explanation of Evidence with Additive Classifiers. AAAI 2006
86EEFeng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans: Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. ACL 2006
85EEMarianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt: A Classification-Based Glioma Diffusion Model Using MRI Data. Canadian Conference on AI 2006: 98-109
84EERamana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning to Detect Objects of Many Classes Using Binary Classifiers. ECCV (1) 2006: 352-364
83EERamana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning to Identify Facial Expression During Detection Using Markov Decision Process. FG 2006: 305-310
82EEShaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans: Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. ICGI 2006: 97-111
81EEChi-Hoon Lee, Russell Greiner, Shaojun Wang: Using query-specific variance estimates to combine Bayesian classifiers. ICML 2006: 529-536
80EERamana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning Policies for Efficiently Identifying Objects of Many Classes. ICPR (3) 2006: 356-361
79EERobert Price, Russell Greiner, Gerald Häubl, Alden Flatt: Automatic construction of personalized customer interfaces. IUI 2006: 250-257
78EEChi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. NIPS 2006: 793-800
77EEJiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans: Information Marginalization on Subgraphs. PKDD 2006: 199-210
76EEChi-Hoon Lee, Russell Greiner, Osmar R. Zaïane: Efficient Spatial Classification Using Decoupled Conditional Random Fields. PKDD 2006: 272-283
75EERussell Greiner, Ryan Hayward, Magdalena Jankowska, Michael Molloy: Finding optimal satisficing strategies for and-or trees. Artif. Intell. 170(1): 19-58 (2006)
74EEMarianne Morris, Russell Greiner, Jörg Sander, Albert Murtha, Mark Schmidt: Learning a Classification-based Glioma Growth Model Using MRI Data. JCP 1(7): 21-31 (2006)
73EELuca Pireddu, Duane Szafron, Paul Lu, Russell Greiner: The Path-A metabolic pathway prediction web server. Nucleic Acids Research 34(Web-Server-Issue): 714-719 (2006)
2005
72 Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Roman Eisner, Alona Fyshe, Brandon Pearcy, Luca Pireddu: The Proteome Analyst Suite of Automated Function Prediction Tools. AAAI 2005: 1698-1699
71 Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Goal-Directed Site-Independent Recommendations from Passive Observations. AAAI 2005: 549-557
70 Yuhong Guo, Russell Greiner: Discriminative Model Selection for Belief Net Structures. AAAI 2005: 770-776
69EERamana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression. AMFG 2005: 70-84
68 Roman Eisner, Brett Poulin, Duane Szafron, Paul Lu, Russell Greiner: Improving Protein Function Prediction Using the Hierarchical Structure of the Gene Ontology. CIBCB 2005: 354-363
67EEChi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bistritz, Jörg Sander, Russell Greiner: Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines. CVBIA 2005: 469-478
66EEAloak Kapoor, Russell Greiner: Learning and Classifying Under Hard Budgets. ECML 2005: 170-181
65EEShaojun Wang, Shaomin Wang, Russell Greiner, Dale Schuurmans, Li Cheng: Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields. ICML 2005: 948-955
64EETingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Using Learned Browsing Behavior Models to Recommend Relevant Web Pages. IJCAI 2005: 1589-1590
63EEYuhong Guo, Russell Greiner, Dale Schuurmans: Learning Coordination Classifiers. IJCAI 2005: 714-721
62EEChi-Hoon Lee, Russell Greiner, Mark Schmidt: Support Vector Random Fields for Spatial Classification. PKDD 2005: 121-132
61EETingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Off-line Evaluation of Recommendation Functions. User Modeling 2005: 337-341
60EERussell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou: Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. Machine Learning 59(3): 297-322 (2005)
59EEPaul Lu, Duane Szafron, Russell Greiner, David S. Wishart, Alona Fyshe, Brandon Pearcy, Brett Poulin, Roman Eisner, Danny Ngo, Nicholas Lamb: PA-GOSUB: a searchable database of model organism protein sequences with their predicted Gene Ontology molecular function and subcellular localization. Nucleic Acids Research 33(Database-Issue): 147-153 (2005)
58EEGary H. Van Domselaar, Paul Stothard, Savita Shrivastava, Joseph A. Cruz, Anchi Guo, Xiaoli Dong, Paul Lu, Duane Szafron, Russell Greiner, David S. Wishart: BASys: a web server for automated bacterial genome annotation. Nucleic Acids Research 33(Web-Server-Issue): 455-459 (2005)
2004
57EEOmid Madani, Daniel J. Lizotte, Russell Greiner: The Budgeted Multi-armed Bandit Problem. COLT 2004: 643-645
56EELihong Li, Vadim Bulitko, Russell Greiner: Batch Reinforcement Learning with State Importance. ECML 2004: 566-568
55EEOmid Madani, Daniel J. Lizotte, Russell Greiner: Active Model Selection. UAI 2004: 357-365
54EEZhiyong Lu, Duane Szafron, Russell Greiner, Paul Lu, David S. Wishart, Brett Poulin, John Anvik, Cam Macdonell, Roman Eisner: Predicting subcellular localization of proteins using machine-learned classifiers. Bioinformatics 20(4): (2004)
53 Duane Szafron, Paul Lu, Russell Greiner, David S. Wishart, Brett Poulin, Roman Eisner, Zhiyong Lu, John Anvik, Cam Macdonell, Alona Fyshe, David Meeuwis: Proteome Analyst: custom predictions with explanations in a web-based tool for high-throughput proteome annotations. Nucleic Acids Research 32(Web-Server-Issue): 365-371 (2004)
2003
52EEIlya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner: Towards Automated Creation of Image Interpretation Systems. Australian Conference on Artificial Intelligence 2003: 653-665
51EEBin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng: Discriminative Parameter Learning of General Bayesian Network Classifiers. ICTAI 2003: 296-305
50 Ramana Isukapalli, Russell Greiner: Use of Off-line Dynamic Programming for Efficient Image Interpretation. IJCAI 2003: 1319-1325
49 Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner: Lookahead Pathologies for Single Agent Search. IJCAI 2003: 1531-1533
48EETingshao Zhu, Russell Greiner, Gerald Häubl, Robert Price: Predicting Web Information Content. ITWP 2003: 241-254
47 Daniel J. Lizotte, Omid Madani, Russell Greiner: Budgeted Learning of Naive-Bayes Classifiers. UAI 2003: 378-385
46EETingshao Zhu, Russell Greiner, Gerald Häubl: Learning a Model of a Web User's Interests. User Modeling 2003: 65-75
45EETingshao Zhu, Russell Greiner, Gerald Häubl: An Effective Complete-Web Recommender System. WWW (Alternate Paper Tracks) 2003
2002
44 Russell Greiner, Wei Zhou: Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. AAAI/IAAI 2002: 167-173
43 Russell Greiner, Ryan Hayward, Michael Molloy: Optimal Depth-First Strategies for And-Or Trees. AAAI/IAAI 2002: 725-730
42EEIlya Levner, Vadim Bulitko, Omid Madani, Russell Greiner: Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. SARA 2002: 299-307
41EEJie Cheng, Russell Greiner, Jonathan Kelly, David A. Bell, Weiru Liu: Learning Bayesian networks from data: An information-theory based approach. Artif. Intell. 137(1-2): 43-90 (2002)
40EERussell Greiner, Adam J. Grove, Dan Roth: Learning cost-sensitive active classifiers. Artif. Intell. 139(2): 137-174 (2002)
2001
39EEJie Cheng, Russell Greiner: Learning Bayesian Belief Network Classifiers: Algorithms and System. Canadian Conference on AI 2001: 141-151
38 Ramana Isukapalli, Russell Greiner: Efficient Car Recognition Policies. ICRA 2001: 2134-2139
37 Ramana Isukapalli, Russell Greiner: Efficient Interpretation Policies. IJCAI 2001: 1381-1390
36EETim Van Allen, Russell Greiner, Peter Hooper: Bayesian Error-Bars for Belief Net Inference. UAI 2001: 522-529
35EERussell Greiner, Christian Darken, N. Iwan Santoso: Efficient reasoning. ACM Comput. Surv. 33(1): 1-30 (2001)
2000
34 Benjamin Korvemaker, Russell Greiner: Predicting UNIX Command Lines: Adjusting to User Patterns. AAAI/IAAI 2000: 230-235
33 Tim Van Allen, Russell Greiner: Model Selection Criteria for Learning Belief Nets: An Empirical Comparison. ICML 2000: 1047-1054
1999
32EEJie Cheng, Russell Greiner: Comparing Bayesian Network Classifiers. UAI 1999: 101-108
31 Russell Greiner: The Complexity of Revising Logic Programs. J. Log. Program. 40(2-3): 273-298 (1999)
1997
30 Tobias Scheffer, Russell Greiner, Christian Darken: Why Experimentation can be better than "Perfect Guidance". ICML 1997: 331-339
29EERussell Greiner, Adam J. Grove, Dale Schuurmans: Learning Bayesian Nets that Perform Well. UAI 1997: 198-207
28EEDevika Subramanian, Russell Greiner, Judea Pearl: The Relevance of Relevance (Editorial). Artif. Intell. 97(1-2): 1-5 (1997)
27EERussell Greiner, Adam J. Grove, Alexander Kogan: Knowing what doesn't Matter: Exploiting the Omission of Irrelevant Data. Artif. Intell. 97(1-2): 345-380 (1997)
1996
26 Russell Greiner, Adam J. Grove, Dan Roth: Learning Active Classifiers. ICML 1996: 207-215
25 Russell Greiner, Adam J. Grove, Alexander Kogan: Exploiting the Omission of Irrelevant Data. ICML 1996: 216-224
24EERussell Greiner, Pekka Orponen: Probably Approximately Optimal Satisficing Strategies. Artif. Intell. 82(1-2): 21-44 (1996)
23EERussell Greiner: PALO: A Probabilistic Hill-Climbing Algorithm. Artif. Intell. 84(1-2): 177-208 (1996)
1995
22EEDale Schuurmans, Russell Greiner: Sequential PAC Learning. COLT 1995: 377-384
21 Russell Greiner: The Challenge of Revising an Impure Theory. ICML 1995: 269-277
20 Russell Greiner: The Complexity of Theory Revision. IJCAI 1995: 1162-1168
19 Dale Schuurmans, Russell Greiner: Practical PAC Learning. IJCAI 1995: 1169-1177
1994
18 Russell Greiner, Ramana Isukapalli: Learning to Select Useful Landmarks. AAAI 1994: 1251-1256
1993
17 Charles Elkan, Russell Greiner: D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Artif. Intell. 61(1): 41-52 (1993)
1992
16 Russell Greiner, Igor Jurisica: A Statistical Approach to Solving the EBL Utility Problem. AAAI 1992: 241-248
15 Russell Greiner, Dale Schuurmans: Learning an Optimally Accurate Representation System. ECAI Workshop on Knowledge Representation and Reasoning 1992: 145-159
14 Russell Greiner, Dale Schuurmans: Learning Useful Horn Approximations. KR 1992: 383-392
13EERussell Greiner: Learning Efficient Query Processing Strategies. PODS 1992: 33-46
1991
12 Russell Greiner, Charles Elkan: Measuring and Improving the Effectiveness of Representations. IJCAI 1991: 518-524
11 Russell Greiner, Pekka Orponen: Probably Approximately Optimal Derivation Strategies. KR 1991: 277-288
10 Russell Greiner: Finding Optimal Derivation Strategies in Redundant Knowledge Bases. Artif. Intell. 50(1): 95-115 (1991)
1990
9EEPekka Orponen, Russell Greiner: On the Sample Complexity of Finding Good Search Strategies. COLT 1990: 352-358
1989
8 Russell Greiner, J. Likuski: Incorporating Redundant Learned Rules: A Preliminary Formal Analysis of EBL. IJCAI 1989: 744-749
7 Russell Greiner: Towards a Formal Analysis of EBL. ML 1989: 450-453
6 Russell Greiner, Barbara A. Smith, Ralph W. Wilkerson: A Correction to the Algorithm in Reiter's Theory of Diagnosis. Artif. Intell. 41(1): 79-88 (1989)
1988
5 Russell Greiner: Learning by Understanding Analogies. Artif. Intell. 35(1): 81-125 (1988)
4 Russell Greiner: Against the unjustified use of probabilities. Computational Intelligence 4: 79-83 (1988)
3 Russell Greiner: A Review of Machine Learning at AAAI-87. Machine Learning 3: 79-92 (1988)
1983
2 Russell Greiner, Michael R. Genesereth: What's New? A Semantic Definition of Novelty. IJCAI 1983: 450-454
1980
1 Russell Greiner, Douglas B. Lenat: A Representation Language Language. AAAI 1980: 165-169

Coauthor Index

1Yasin Abbasi-Yadkori [108]
2Tim Van Allen [33] [36] [96]
3Godwin Amegbey [88]
4John Anvik [53] [54] [87]
5David Arndt [88]
6Fiona Bamforth [88]
7David A. Bell [41]
8Aalo Bistritz [67]
9David Block [88]
10Souhaila Bouatra [106]
11Matthew R. G. Brown [100] [105]
12Vadim Bulitko [42] [49] [52] [56] [89] [98] [104]
13Corrine Cheng [51]
14Dean Cheng [88] [106]
15Jie Cheng [32] [39] [41]
16Li Cheng [65] [82]
17Melisa Clements [88] [106]
18Derrick Clive [88] [106]
19Marie-Aude Coutouly [88]
20Joseph A. Cruz [58] [106]
21Christian Darken [30] [35]
22Margot Dawe [106]
23Gary H. Van Domselaar [58]
24Edison Dong [106]
25Xiaoli Dong [58]
26Reza Dowlatabadi [88]
27Gavin E. Duggan [88]
28Roman Eisner [53] [54] [59] [68] [72] [87] [88] [106]
29Ahmed M. Elgammal [69] [80] [83] [84]
30Charles Elkan [12] [17]
31Lydia Fang [106]
32Alireza Farhangfar [107]
33Alden Flatt [79]
34Ian J. Forsythe [88] [106]
35Ryan Fradette [106]
36Gustavo Frigo [109]
37Chris Fung [88]
38Alona Fyshe [53] [59] [72] [87] [95]
39Bijaya Gautam [106]
40Mulu Gebremedhin [88]
41Michael R. Genesereth [2]
42Adam J. Grove [25] [26] [27] [29] [40]
43Anchi Guo [58] [88] [106]
44Natalie Guo [88]
45Yuhong Guo [63] [70] [92]
46David D. Hau [88] [106]
47Gerald Häubl [45] [46] [48] [61] [64] [71] [79]
48Ryan B. Hayward (Ryan Hayward) [43] [75]
49Peter Hooper [36] [96]
50Jiayuan Huang [77] [94]
51Paul Huang [106]
52Alejandro Isaza [98] [104]
53Ramana Isukapalli [18] [37] [38] [50] [69] [80] [83] [84]
54Magdalena Jankowska [75]
55Kevin Jeroncic [88]
56Kevin Jewell [61] [64] [71] [88]
57Leslie Jia [106]
58Feng Jiao [78] [86]
59Igor Jurisica [16]
60Aloak Kapoor [66]
61Jonathan Kelly [41]
62Aliaksei Kerhet [110]
63Taghi M. Khoshgoftaar [90] [97] [99] [101] [103]
64Hassan Khosravi [109]
65Craig Knox [88] [106]
66Alexander Kogan [25] [27]
67Benjamin Korvemaker [34]
68Nicholas Lamb [59]
69Chi-Hoon Lee [62] [67] [76] [78] [81] [86] [94] [100] [105]
70Greg Lee [52]
71Douglas B. Lenat [1]
72Ilya Levner [42] [49] [52] [102]
73Avalyn Lewis [106]
74Mike Lewis [88]
75Liang Li [88] [106]
76Lihong Li [49] [52] [56] [89]
77J. Likuski [8]
78Emilia Lim [106]
79Philip Liu [106]
80Weiru Liu [41]
81Yifeng Liu [95]
82Daniel J. Lizotte [47] [55] [57]
83Jieshan Lu [104]
84Paul Lu [53] [54] [58] [59] [68] [72] [73] [87] [95]
85Zhiyong Lu [53] [54]
86Wei Luo [93] [109]
87Glen D. MacInnis [88]
88Cam Macdonell [53] [54] [87]
89Omid Madani [42] [47] [55] [57]
90Rupasri Mandal [106]
91Tom Marrie [88]
92Alexander McEwan [110]
93David Meeuwis [53]
94Jessica Miniaci [88]
95Michael Molloy (Michael S. O. Molloy) [43] [75]
96Marianne Morris [74] [85]
97Albert Murtha [67] [74] [85] [100] [105]
98Petr Musílek [51]
99Alsu Nazyrova [106]
100Danny Ngo [59]
101Lisa Nikolai [88]
102Pekka Orponen [9] [11] [24]
103Ho-Hyun Park [94]
104Brandon Pearcy [59] [72] [87]
105Judea Pearl [28]
106Jun Peng [106]
107Luca Pireddu [72] [73]
108Barnabás Póczos [108]
109Brett Poulin [53] [54] [59] [68] [72] [87]
110Robert Price [48] [61] [64] [71] [79]
111Nick Psychogios [106]
112Lori Querengesser [88]
113Harvey Quon [110]
114Terence Riauka [110]
115Wilson Roa [110]
116Dan Roth [26] [40]
117Jörg Sander [67] [74] [85]
118N. Iwan Santoso [35]
119Summit Sawhney [88]
120Tobias Scheffer [30]
121Mark Schmidt [62] [67] [74] [85]
122Oliver Schulte [93] [109]
123Dale Schuurmans [14] [15] [19] [22] [29] [63] [65] [77] [78] [82] [86]
124Rustem Shaykhutdinov [106]
125Bin Shen [51] [60]
126Savita Shrivastava [58] [88] [106]
127Igor Sinelnikov [106]
128Ajit Singh [96]
129Cormac Small [110]
130Barbara A. Smith [6]
131Constance A. Sobsey [106]
132Andrea De Souza [106]
133Paul Stothard [58] [88]
134Nathan R. Sturtevant [108]
135Xiaoyuan Su [51] [60] [90] [97] [99] [101] [103]
136Devika Subramanian [28]
137Brian D. Sykes [88]
138Duane Szafron [53] [54] [58] [59] [68] [72] [73] [87] [95]
139Csaba Szepesvári [98] [107] [108]
140Peter Tang [88]
141Dan Tzur [88] [106]
142Hans J. Vogel [88] [106]
143James Wagner [88]
144Shaojun Wang [65] [78] [81] [82] [86] [100] [105]
145Shaomin Wang [65] [82]
146Alim M. Weljie [88]
147Ralph W. Wilkerson [6]
148David S. Wishart [53] [54] [58] [59] [72] [87] [88] [91] [106]
149Jianguo Xia [106]
150Yeping Xiong [106]
151Nelson Young [88] [106]
152Osmar R. Zaïane [76] [94]
153Hong Zhang [102]
154Ying Zhang [88]
155Dengyong Zhou [77]
156Wei Zhou [44] [60]
157Tingshao Zhu [45] [46] [48] [61] [64] [71] [77]
158Xingquan Zhu [90] [99]
159Azaret Zuniga [106]

Colors in the list of coauthors

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