Russell Greiner

	2012
128		Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang: Quick detection of brain tumors and edemas: A bounding box method using symmetry. Comp. Med. Imag. and Graph. 36(2): 95-107 (2012)
127		Ashkan Zarnani, Petr Musílek, Xiaoyu Shi, Xiaodi Ke, Hua He, Russell Greiner: Learning to predict ice accretion on electric power lines. Eng. Appl. of AI 25(3): 609-617 (2012)
126		Davoud Moulavi, Mohsen Hajiloo, Jörg Sander, Philip F. Halloran, Russell Greiner: Combining gene expression and interaction network data to improve kidney lesion score prediction. IJBRA 8(1/2): 54-66 (2012)
	2011
125		Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Amri Napolitano: Using Classifier-Based Nominal Imputation to Improve Machine Learning. PAKDD (1) 2011: 124-135
	2010
124		Siamak (Moshen) Ravanbakhsh, Barnabás Póczos, Russell Greiner: A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra. AAAI 2010
123		Oliver Schulte, Gustavo Frigo, Russell Greiner, Hassan Khosravi: The IMAP Hybrid Method for Learning Gaussian Bayes Nets. Canadian Conference on AI 2010: 123-134
122		Liuyang Li, Barnabás Póczos, Csaba Szepesvári, Russell Greiner: Budgeted Distribution Learning of Belief Net Parameters. ICML 2010: 879-886
121		Oliver Schulte, Wei Luo, Russell Greiner: Mind change optimal learning of Bayes net structure from dependency and independency data. Inf. Comput. 208(1): 63-82 (2010)
	2009
120		Tingshao Zhu, Russell Greiner, Bin Hu: LILAC - Learn from Internet: Log, Annotation, and Content. AAAI Spring Symposium: Experimental Design for Real-World Systems 2009: 57-
119		Aliaksei 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
118		Oliver Schulte, Gustavo Frigo, Russell Greiner, Wei Luo, Hassan Khosravi: A new hybrid method for Bayesian network learning With dependency constraints. CIDM 2009: 53-60
117		Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: VipBoost: A More Accurate Boosting Algorithm. FLAIRS Conference 2009
116		Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant: Learning when to stop thinking and do something! ICML 2009: 104
115		Alireza Farhangfar, Russell Greiner, Csaba Szepesvári: Learning to segment from a few well-selected training images. ICML 2009: 39
114		Peter Hooper, Yasin Abbasi-Yadkori, Russell Greiner, Bret Hoehn: Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling. UAI 2009: 232-239
113		Babak Bostan, Russell Greiner, Duane Szafron, Paul Lu: Predicting homologous signaling pathways using machine learning. Bioinformatics 25(22): 2913-2920 (2009)
112		Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Making an accurate classifier ensemble by voting on classifications from imputed learning sets. IJIDS 1(3): 301-322 (2009)
111		David 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
110		Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner, Shaojun Wang, Albert Murtha: Constrained Classification on Structured Data. AAAI 2008: 1812-1813
109		Alejandro Isaza, Jieshan Lu, Vadim Bulitko, Russell Greiner: A Cover-Based Approach to Multi-Agent Moving Target Pursuit. AIIDE 2008
108		Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: A Mixture Imputation-Boosted Collaborative Filter. FLAIRS Conference 2008: 312-316
107		Ilya Levner, Russell Greiner, Hong Zhang: Supervised image segmentation via ground truth decomposition. ICIP 2008: 737-740
106		John Lees-Miller, Fraser Anderson, Bret Hoehn, Russell Greiner: Does Wikipedia Information Help Netflix Predictions? ICMLA 2008: 337-343
105		Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Using Imputation Techniques to Help Learn Accurate Classifiers. ICTAI (1) 2008: 437-444
104		Alireza Farhangfar, Russell Greiner, Martin Zinkevich: A Fast Way to Produce Optimal Fixed-Depth Decision Trees. ISAIM 2008
103		Chi-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
102		Xiaoyuan Su, Taghi M. Khoshgoftaar, Xingquan Zhu, Russell Greiner: Imputation-boosted collaborative filtering using machine learning classifiers. SAC 2008: 949-950
101		Alejandro Isaza, Csaba Szepesvári, Vadim Bulitko, Russell Greiner: Speeding Up Planning in Markov Decision Processes via Automatically Constructed Abstraction. UAI 2008: 306-314
100		Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greiner: Imputed Neighborhood Based Collaborative Filtering. Web Intelligence 2008: 633-639
99		Tim 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)
98		Alona 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)
97		Ilya Levner, Hong Zhang, Russell Greiner: Heterogeneous Stacking for Classification-Driven Watershed Segmentation. EURASIP J. Adv. Sig. Proc. 2008: (2008)
96		Chi-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
95		Oliver Schulte, Wei Luo, Russell Greiner: Mind Change Optimal Learning of Bayes Net Structure. COLT 2007: 187-202
94		Yuhong Guo, Russell Greiner: Optimistic Active-Learning Using Mutual Information. IJCAI 2007: 823-829
93		David S. Wishart, Russell Greiner: Session Introduction. Pacific Symposium on Biocomputing 2007: 112-114
92		Xiaoyuan Su, Russell Greiner, Taghi M. Khoshgoftaar, Xingquan Zhu: Hybrid Collaborative Filtering Algorithms Using a Mixture of Experts. Web Intelligence 2007: 645-649
91		Lihong Li, Vadim Bulitko, Russell Greiner: Focus of Attention in Reinforcement Learning. J. UCS 13(9): 1246-1269 (2007)
90		David 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
89		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: 1822-1829
88		Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans: Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling. ACL 2006
87		Marianne 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
86		Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning to Detect Objects of Many Classes Using Binary Classifiers. ECCV (1) 2006: 352-364
85		Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning to Identify Facial Expression During Detection Using Markov Decision Process. FG 2006: 305-310
84		Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans: Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model. ICGI 2006: 97-111
83		Chi-Hoon Lee, Russell Greiner, Shaojun Wang: Using query-specific variance estimates to combine Bayesian classifiers. ICML 2006: 529-536
82		Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning Policies for Efficiently Identifying Objects of Many Classes. ICPR (3) 2006: 356-361
81		Robert Price, Russell Greiner, Gerald Häubl, Alden Flatt: Automatic construction of personalized customer interfaces. IUI 2006: 250-257
80		Chi-Hoon Lee, Shaojun Wang, Feng Jiao, Dale Schuurmans, Russell Greiner: Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields. NIPS 2006: 793-800
79		Jiayuan Huang, Tingshao Zhu, Russell Greiner, Dengyong Zhou, Dale Schuurmans: Information Marginalization on Subgraphs. PKDD 2006: 199-210
78		Chi-Hoon Lee, Russell Greiner, Osmar R. Zaïane: Efficient Spatial Classification Using Decoupled Conditional Random Fields. PKDD 2006: 272-283
77		Russell Greiner, Ryan Hayward, Magdalena Jankowska, Michael Molloy: Finding optimal satisficing strategies for and-or trees. Artif. Intell. 170(1): 19-58 (2006)
76		Marianne 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)
75		Luca 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
74		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
73		Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Goal-Directed Site-Independent Recommendations from Passive Observations. AAAI 2005: 549-557
72		Yuhong Guo, Russell Greiner: Discriminative Model Selection for Belief Net Structures. AAAI 2005: 770-776
71		Ramana Isukapalli, Ahmed M. Elgammal, Russell Greiner: Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression. AMFG 2005: 70-84
70		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
69		Chi-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
68		Aloak Kapoor, Russell Greiner: Learning and Classifying Under Hard Budgets. ECML 2005: 170-181
67		Shaojun 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
66		Mark Schmidt, Ilya Levner, Russell Greiner, Albert Murtha, Aalo Bistritz: Segmenting brain tumors using alignment-based features. ICMLA 2005
65		Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Using Learned Browsing Behavior Models to Recommend Relevant Web Pages. IJCAI 2005: 1589-1590
64		Yuhong Guo, Russell Greiner, Dale Schuurmans: Learning Coordination Classifiers. IJCAI 2005: 714-721
63		Chi-Hoon Lee, Russell Greiner, Mark Schmidt: Support Vector Random Fields for Spatial Classification. PKDD 2005: 121-132
62		Tingshao Zhu, Russell Greiner, Gerald Häubl, Kevin Jewell, Robert Price: Off-line Evaluation of Recommendation Functions. User Modeling 2005: 337-341
61		Russell 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)
60		Paul 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)
59		Gary 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
58		Omid Madani, Daniel J. Lizotte, Russell Greiner: The Budgeted Multi-armed Bandit Problem. COLT 2004: 643-645
57		Lihong Li, Vadim Bulitko, Russell Greiner: Batch Reinforcement Learning with State Importance. ECML 2004: 566-568
56		Omid Madani, Daniel J. Lizotte, Russell Greiner: Active Model Selection. UAI 2004: 357-365
55		Zhiyong 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): 547-556 (2004)
54		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
53		Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner: Towards Automated Creation of Image Interpretation Systems. Australian Conference on Artificial Intelligence 2003: 653-665
52		Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng: Discriminative Parameter Learning of General Bayesian Network Classifiers. ICTAI 2003: 296-305
51		Ramana Isukapalli, Russell Greiner: Use of Off-line Dynamic Programming for Efficient Image Interpretation. IJCAI 2003: 1319-1325
50		Vadim Bulitko, Lihong Li, Russell Greiner, Ilya Levner: Lookahead Pathologies for Single Agent Search. IJCAI 2003: 1531-1533
49		Tingshao Zhu, Russell Greiner, Gerald Häubl, Robert Price: Predicting Web Information Content. ITWP 2003: 241-254
48		Daniel J. Lizotte, Omid Madani, Russell Greiner: Budgeted Learning of Naive-Bayes Classifiers. UAI 2003: 378-385
47		Tingshao Zhu, Russell Greiner, Gerald Häubl: Learning a Model of a Web User's Interests. User Modeling 2003: 65-75
46		Tingshao Zhu, Russell Greiner, Gerald Häubl: An Effective Complete-Web Recommender System. WWW (Alternate Paper Tracks) 2003
	2002
45		Russell Greiner, Wei Zhou: Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers. AAAI/IAAI 2002: 167-173
44		Russell Greiner, Ryan Hayward, Michael Molloy: Optimal Depth-First Strategies for And-Or Trees. AAAI/IAAI 2002: 725-730
43		Ilya Levner, Vadim Bulitko, Omid Madani, Russell Greiner: Performance of Lookahead Control Policies in the Face of Abstractions and Approximations. SARA 2002: 299-307
42		Jie 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)
41		Russell Greiner, Adam J. Grove, Dan Roth: Learning cost-sensitive active classifiers. Artif. Intell. 139(2): 137-174 (2002)
	2001
40		Jie Cheng, Russell Greiner: Learning Bayesian Belief Network Classifiers: Algorithms and System. Canadian Conference on AI 2001: 141-151
39		Ramana Isukapalli, Russell Greiner: Efficient Car Recognition Policies. ICRA 2001: 2134-2139
38		Ramana Isukapalli, Russell Greiner: Efficient Interpretation Policies. IJCAI 2001: 1381-1390
37		Tim Van Allen, Russell Greiner, Peter Hooper: Bayesian Error-Bars for Belief Net Inference. UAI 2001: 522-529
36		Russell Greiner, Christian Darken, N. Iwan Santoso: Efficient reasoning. ACM Comput. Surv. 33(1): 1-30 (2001)
	2000
35		Benjamin Korvemaker, Russell Greiner: Predicting UNIX Command Lines: Adjusting to User Patterns. AAAI/IAAI 2000: 230-235
34		Tim Van Allen, Russell Greiner: Model Selection Criteria for Learning Belief Nets: An Empirical Comparison. ICML 2000: 1047-1054
	1999
33		Jie Cheng, Russell Greiner: Comparing Bayesian Network Classifiers. UAI 1999: 101-108
32		Russell Greiner: The Complexity of Revising Logic Programs. J. Log. Program. 40(2-3): 273-298 (1999)
	1997
31		Tobias Scheffer, Russell Greiner, Christian Darken: Why Experimentation can be better than "Perfect Guidance". ICML 1997: 331-339
30		Russell Greiner, Adam J. Grove, Dale Schuurmans: Learning Bayesian Nets that Perform Well. UAI 1997: 198-207
29		Devika Subramanian, Russell Greiner, Judea Pearl: The Relevance of Relevance (Editorial). Artif. Intell. 97(1-2): 1-5 (1997)
28		Russell 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
27		Russell Greiner, Adam J. Grove, Dan Roth: Learning Active Classifiers. ICML 1996: 207-215
26		Russell Greiner, Adam J. Grove, Alexander Kogan: Exploiting the Omission of Irrelevant Data. ICML 1996: 216-224
25		Russell Greiner, Pekka Orponen: Probably Approximately Optimal Satisficing Strategies. Artif. Intell. 82(1-2): 21-44 (1996)
24		Russell Greiner: PALO: A Probabilistic Hill-Climbing Algorithm. Artif. Intell. 84(1-2): 177-208 (1996)
23		Russell Greiner, Ramana Isukapalli: Learning to select useful landmarks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 26(3): 437-449 (1996)
	1995
22		Dale 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
13		Russell 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
9		Pekka 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

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

Colors in the list of coauthors

Last update Thu May 31 18:55:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page