Tom Fawcett

2008
28	EE	Tom Fawcett: PRIE: a system for generating rulelists to maximize ROC performance. Data Min. Knowl. Discov. 17(2): 207-224 (2008)
27	EE	Tom Fawcett: Data mining with cellular automata. SIGKDD Explorations 10(1): 32-39 (2008)
2007
26	EE	Tom Fawcett, Alexandru Niculescu-Mizil: PAV and the ROC convex hull. Machine Learning 68(1): 97-106 (2007)
2006
25	EE	Tom Fawcett: An introduction to ROC analysis. Pattern Recognition Letters 27(8): 861-874 (2006)
24	EE	Tom Fawcett: ROC graphs with instance-varying costs. Pattern Recognition Letters 27(8): 882-891 (2006)
2005
23	EE	Tom Fawcett, Peter A. Flach: A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. Machine Learning 58(1): 33-38 (2005)
2004
22	EE	Tom Fawcett: "In vivo" spam filtering: A challenge problem for data mining CoRR cs.AI/0405007: (2004)
21	EE	Nada Lavrac, Hiroshi Motoda, Tom Fawcett, Robert Holte, Pat Langley, Pieter W. Adriaans: Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving. Machine Learning 57(1-2): 13-34 (2004)
20	EE	Nada Lavrac, Hiroshi Motoda, Tom Fawcett: Editorial: Data Mining Lessons Learned. Machine Learning 57(1-2): 5-11 (2004)
2003
19		Tom Fawcett, Nina Mishra: Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA AAAI Press 2003
18	EE	Tom Fawcett: "In vivo" spam filtering: a challenge problem for KDD. SIGKDD Explorations 5(2): 140-148 (2003)
2001
17	EE	Tom Fawcett: Using Rule Sets to Maximize ROC Performance. ICDM 2001: 131-138
16		Foster J. Provost, Tom Fawcett: Robust Classification for Imprecise Environments. Machine Learning 42(3): 203-231 (2001)
2000
15	EE	Foster J. Provost, Tom Fawcett: Robust Classification for Imprecise Environments CoRR cs.LG/0009007: (2000)
1999
14	EE	Tom Fawcett, Foster J. Provost: Activity Monitoring: Noticing Interesting Changes in Behavior. KDD 1999: 53-62
1998
13		Foster J. Provost, Tom Fawcett: Robust Classification Systems for Imprecise Environments. AAAI/IAAI 1998: 706-713
12		Foster J. Provost, Tom Fawcett, Ron Kohavi: The Case against Accuracy Estimation for Comparing Induction Algorithms. ICML 1998: 445-453
11		Tom Fawcett, Ira J. Haimowitz, Foster J. Provost, Salvatore J. Stolfo: AI Approaches to Fraud Detection and Risk Management. AI Magazine 19(2): 107-108 (1998)
1997
10		Foster J. Provost, Tom Fawcett: Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions. KDD 1997: 43-48
9		Tom Fawcett, Foster J. Provost: Adaptive Fraud Detection. Data Min. Knowl. Discov. 1(3): 291-316 (1997)
1996
8		Tom Fawcett, Foster J. Provost: Combining Data Mining and Machine Learning for Effective User Profiling. KDD 1996: 8-13
7		Tom Fawcett: Knowledge-Based Feature Discovery for Evaluation Functions. Computational Intelligence 12: 42-64 (1996)
1992
6		Tom Fawcett, Paul E. Utgoff: Automatic Feature Generation for Problem Solving Systems. ML 1992: 144-153
5		John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac: Intelligent and Cooperative Information Systems Meet Machine Learning. Int. J. Cooperative Inf. Syst. 2(2): 347-362 (1992)
1991
4		James P. Callan, Tom Fawcett, Edwina L. Rissland: CABOT: An Adaptive Approach to Case-Based Search. IJCAI 1991: 803-809
3		Tom Fawcett, Paul E. Utgoff: A Hybrid Method for Feature Generation. ML 1991: 137-141
2		John Vittal, Bernard Silver, William J. Frawley, Glenn A. Iba, Tom Fawcett, Susan Dusseault, John Doleac: A Framework for Cooperative Adaptable Information Systems. The Next Generation of Information Systems 1991: 169-184
1989
1		Tom Fawcett: Learning from Plausible Explanations. ML 1989: 37-39

Coauthor Index

1	Pieter W. Adriaans	[21]
2	James P. Callan (Jamie Callan)	[4]
3	John Doleac	[2] [5]
4	Susan Dusseault	[2] [5]
5	Peter A. Flach	[23]
6	William J. Frawley	[2] [5]
7	Ira J. Haimowitz	[11]
8	Robert C. Holte (Robert Holte)	[21]
9	Glenn A. Iba	[2] [5]
10	Ron Kohavi	[12]
11	Pat Langley	[21]
12	Nada Lavrac	[20] [21]
13	Nina Mishra	[19]
14	Hiroshi Motoda	[20] [21]
15	Alexandru Niculescu-Mizil	[26]
16	Foster J. Provost	[8] [9] [10] [11] [12] [13] [14] [15] [16]
17	Edwina L. Rissland	[4]
18	Bernard Silver	[2] [5]
19	Salvatore J. Stolfo	[11]
20	Paul E. Utgoff	[3] [6]
21	John Vittal	[2] [5]

Colors in the list of coauthors