Ryszard S. Michalski

	2009
77		Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Ancha V. Baranova: Towards application of rule learning to the meta-analysis of clinical data: An example of the metabolic syndrome. I. J. Medical Informatics 78(12): 104-111 (2009)
	2007
76		Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova: The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. ICMLA 2007: 518-523
75		Ryszard S. Michalski, Janusz Wojtusiak: Generalizing Data in Natural Language. RSEISP 2007: 29-39
	2006
74		Janusz Wojtusiak, Ryszard S. Michalski: The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. GECCO 2006: 1281-1288
73		Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman: Intelligent Optimization via Learnable Evolution Model. ICTAI 2006: 332-335
72		Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski: The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. ICTAI 2006: 523-526
71		Kenneth A. Kaufman, Ryszard S. Michalski, Jaroslaw Pietrzykowski, Janusz Wojtusiak: An Integrated Multi-task Inductive Database VINLEN: Initial Implementation and Early Results. KDID 2006: 116-133
70		Ryszard S. Michalski, Kenneth A. Kaufman: Intelligent evolutionary design: A new approach to optimizing complex engineering systems and its application to designing heat exchangers. Int. J. Intell. Syst. 21(12): 1217-1248 (2006)
	2005
69		Bartlomiej Sniezynski, Robert Szymacha, Ryszard S. Michalski: Knowledge Visualization Using Optimized General Logic Diagrams. Intelligent Information Systems 2005: 137-146
68		Tomasz Szydlo, Bartlomiej Sniezynski, Ryszard S. Michalski: A Rules-to-Trees Conversion in the Inductive Database System VINLEN. Intelligent Information Systems 2005: 496-500
	2004
67		Marcus A. Maloof, Ryszard S. Michalski: Incremental learning with partial instance memory. Artif. Intell. 154(1-2): 95-126 (2004)
	2003
66		Kenneth A. Kaufman, Ryszard S. Michalski: The Development of the Inductive Database System VINLEN: A Review of Current Research. IIS 2003: 267-276
65		Ryszard S. Michalski, Pavel Brazdil: Introduction. Machine Learning 50(3): 219-222 (2003)
	2002
64		Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski: Recent Results from the Experimental Evaluation of the Learnable Evolution Model. GECCO Late Breaking Papers 2002: 47-62
63		Marcus A. Maloof, Ryszard S. Michalski: Incremental Learning with Partial Instance Memory. ISMIS 2002: 16-27
62		Guido Cervone, Ryszard S. Michalski: Modeling User Behavior by Integrating AQ Learning with a Database: Initial Results. Intelligent Information Systems 2002: 43-56
	2001
61		Guido Cervone, Liviu Panait, Ryszard S. Michalski: The Development of the AQ20 Learning System and Initial Experiments. Intelligent Information Systems 2001: 13-29
60		Jerzy Clowinski, Ryszard S. Michalski: Discovering Multi-head Attributional Rules in Large Databases. Intelligent Information Systems 2001: 31-41
59		Ryszard S. Michalski, Kenneth A. Kaufman: Learning Patterns in Noisy Data: The AQ Approach. Machine Learning and Its Applications 2001: 22-38
	2000
58		Kenneth A. Kaufman, Ryszard S. Michalski: Applying Learnable Evolution Model to Heat Exchanger Design. AAAI/IAAI 2000: 1014-1019
57		Kenneth A. Kaufman, Ryszard S. Michalski: A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. FQAS 2000: 485-496
56		Ryszard S. Michalski: Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. ISMIS 2000: 21-30
55		Ryszard S. Michalski, Guido Cervone, Kenneth A. Kaufman: Speeding Up Evolution through Learning: LEM. Intelligent Information Systems 2000: 243-256
54		Ryszard S. Michalski: Inductive Databases and Knowledge Scouts. PAKDD 2000: 2-3
53		Ryszard S. Michalski, Kenneth A. Kaufman: Building Knowledge Scouts Using KGL Metalanguage. Fundam. Inform. 41(4): 433-447 (2000)
52		Kenneth A. Kaufman, Ryszard S. Michalski: An Adjustable Description Quality Measure for Pattern Discovery Using the AQ Methodology. J. Intell. Inf. Syst. 14(2-3): 199-216 (2000)
51		Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta: Guest Editors' Introduction. Machine Learning 38(1-2): 5-7 (2000)
50		Ryszard S. Michalski: Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning. Machine Learning 38(1-2): 9-40 (2000)
49		Marcus A. Maloof, Ryszard S. Michalski: Selecting Examples for Partial Memory Learning. Machine Learning 41(1): 27-52 (2000)
	1999
48		Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa: Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. GECCO 1999: 779
47		Kenneth A. Kaufman, Ryszard S. Michalski: Learning from Inconsistent and Noisy Data: The AQ18 Approach. ISMIS 1999: 411-419
46		Ryszard S. Michalski, R. L. Chilausky: Knowledge acquisition by encoding expert rules versus computer induction from examples: a case study involving soybean pathology. Int. J. Hum.-Comput. Stud. 51(2): 239-263 (1999)
	1998
45		Qi Zhang, Zoran Duric, Ryszard S. Michalski: Detecting Targets in SAR Images: A Machine Learning Approach. ACCV (1) 1998: 305-312
44		Eric Bloedorn, Ryszard S. Michalski: Data-Driven Constructive Induction. IEEE Intelligent Systems 13(2): 30-37 (1998)
	1997
43		Ryszard S. Michalski: Seeking Knowledge in the Deluge of Facts. Fundam. Inform. 30(3/4): 283-297 (1997)
42		Ryszard S. Michalski, Ibrahim F. Imam: On Learning Decision Structures. Fundam. Inform. 31(1): 49-64 (1997)
41		Ryszard S. Michalski, Janusz Wnek: Guest Editors' Introduction. Machine Learning 27(3): 205-208 (1997)
	1996
40		Eric Bloedorn, Ryszard S. Michalski: The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics. ISMIS 1996: 108-117
39		Ibrahim F. Imam, Ryszard S. Michalski: Learning for Decision Making: the FRD Approach and a Comparative Study. ISMIS 1996: 428-437
38		Kenneth A. Kaufman, Ryszard S. Michalski: A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. KDD 1996: 232-237
	1995
37		Ryszard S. Michalski: Learning and Cognition. WOCFAI 1995: 507-510
36		Jianping Zhang, Ryszard S. Michalski: An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts. Machine Learning 21(3): 235-267 (1995)
	1994
35		Ryszard S. Michalski, Ibrahim F. Imam: Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. ISMIS 1994: 416-426
34		Ibrahim F. Imam, Ryszard S. Michalski: From Facts to Rules to Decisions: An Overview of the FRD-1 System. KDD Workshop 1994: 229-236
33		Janusz Wnek, Ryszard S. Michalski: Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments. Machine Learning 14(1): 139-168 (1994)
	1993
32		Ibrahim F. Imam, Ryszard S. Michalski: Should Decision Trees be Learned from Examples of from Decision Rules? ISMIS 1993: 395-404
31		Michael R. Hieb, Ryszard S. Michalski: Multitype Inference in Multistratgey Task - Adaptive Learning: Dynamic Interlaced Hierachies. Informatica (Slovenia) 17(4): (1993)
30		Ibrahim F. Imam, Ryszard S. Michalski: Learning Decision Trees from Decision Rules: A Method and Initial Results from a Comparative Study. J. Intell. Inf. Syst. 2(3): 279-304 (1993)
29		Ryszard S. Michalski: Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. Machine Learning 11: 111-151 (1993)
	1992
28		Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek: The Principal Axes Method for Constructive Induction. ML 1992: 20-29
27		Ryszard S. Michalski, Larry Kerschberg, Kenneth A. Kaufman, James S. Ribeiro: Mining for Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results. J. Intell. Inf. Syst. 1(1): 85-113 (1992)
	1991
26		Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Knowledge Extraction from Databases: Design Princiles of the INLEN System. ISMIS 1991: 152-161
25		Gheorghe Tecuci, Ryszard S. Michalski: Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. ISMIS 1991: 419-428
24		Gheorghe Tecuci, Ryszard S. Michalski: A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. ML 1991: 549-553
23		Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Mining for Knowledge in Databases: Goals and General Description of the INLEN System. Knowledge Discovery in Databases 1991: 449-464
	1990
22		Ryszard S. Michalski: Theory of Plausible Reasoning - Foundations and Methodology. ISMVL 1990: 325
	1989
21		Jianping Zhang, Ryszard S. Michalski: A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. ML 1989: 17-19
20		Allan M. Collins, Ryszard S. Michalski: The Logic of Plausible Reasoning: A Core Theory. Cognitive Science 13(1): 1-49 (1989)
	1988
19		Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang: Measuring Quality of Concept Descriptions. EWSL 1988: 1-14
18		Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang: Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. ISMIS 1988: 270-280
	1987
17		Douglas L. Medin, William D. Wattenmaker, Ryszard S. Michalski: Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance. Cognitive Science 11(3): 299-339 (1987)
	1986
16		Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac: The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. AAAI 1986: 1041-1047
15		Robert E. Stepp, Ryszard S. Michalski: Conceptual Clustering of Structured Objects: A Goal-Oriented Approach. Artif. Intell. 28(1): 43-69 (1986)
14		Ryszard S. Michalski, Patrick H. Winston: Variable Precision Logic. Artif. Intell. 29(2): 121-146 (1986)
13		Pat Langley, Ryszard S. Michalski: Machine Learning and Discovery. Machine Learning 1(4): 363-366 (1986)
12		Brian Falkenhainer, Ryszard S. Michalski: Integrating Quantitative and Qualitative Discovery: The ABACUS System. Machine Learning 1(4): 367-401 (1986)
	1985
11		Thomas G. Dietterich, Ryszard S. Michalski: Discovering Patterns in Sequences of Events. Artif. Intell. 25(2): 187-232 (1985)
	1983
10		Ryszard S. Michalski, Arthur B. Baskin: Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. IJCAI 1983: 256-258
9		Jaime G. Carbonell, Ryszard S. Michalski, Tom M. Mitchell: Machine Learning: A Historical and Methodological Analysis. AI Magazine 4(3): 69-79 (1983)
8		Ryszard S. Michalski: A Theory and Methodology of Inductive Learning. Artif. Intell. 20(2): 111-161 (1983)
7		Ryszard S. Michalski, Robert E. Stepp: Automated Construction of Classifications: Conceptual Clustering Versus Numerical Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 5(4): 396-410 (1983)
	1982
6		Ryszard S. Michalski, J. H. Davis, V. S. Bisht, J. B. Sinclair: PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. ECAI 1982: 133-138
	1981
5		Ryszard S. Michalski, Robert E. Stepp: An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. IJCAI 1981: 460-465
4		Thomas G. Dietterich, Ryszard S. Michalski: Inductive Learning of Structural Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. Artif. Intell. 16(3): 257-294 (1981)
	1977
3		Ryszard S. Michalski: A System of Programs for Computer-Aided Induction: A Summary. IJCAI 1977: 319-320
	1973
2		Ryszard S. Michalski: Discovering Classification Rules Using variable-Valued Logic System VL_1. IJCAI 1973: 162-172
	1971
1		Ryszard S. Michalski, Zenon Kulpa: A System of Programs for the Synthesis of Switching Circuits Using the Method of Disjoint Stars. IFIP Congress (1) 1971: 61-65

Coauthor Index

1	Jerzy W. Bala	[28]
2	Ancha V. Baranova (Anna V. Baranova)	[76] [77]
3	Arthur B. Baskin	[10]
4	Francesco Bergadano	[18] [19]
5	V. S. Bisht	[6]
6	Eric Bloedorn	[40] [44]
7	Pavel Brazdil	[65]
8	Jaime G. Carbonell	[9]
9	Guido Cervone	[55] [61] [62] [64]
10	R. L. Chilausky	[46]
11	Jerzy Clowinski	[60]
12	Mark Coletti	[48]
13	Allan M. Collins	[20]
14	J. H. Davis	[6]
15	Thomas G. Dietterich	[4] [11]
16	Zoran Duric	[45]
17	Floriana Esposito	[51]
18	Brian Falkenhainer	[12]
19	Michael R. Hieb	[31]
20	Jiarong Hong	[16]
21	Ibrahim F. Imam	[30] [32] [34] [35] [39] [42]
22	Kenneth A. Kaufman	[23] [26] [27] [38] [47] [52] [53] [55] [57] [58] [59] [64] [66] [70] [71] [72] [73]
23	Larry Kerschberg	[23] [26] [27]
24	Zenon Kulpa	[1]
25	Pat Langley	[13]
26	Thomas D. Lash	[48]
27	Nada Lavrac	[16]
28	Marcus A. Maloof	[49] [63] [67]
29	Craig Mandsager	[48]
30	Stan Matwin	[18] [19]
31	Douglas L. Medin	[17]
32	Tom M. Mitchell	[9]
33	Rida E. Moustafa	[48]
34	Igor Mozetic	[16]
35	Liviu Panait	[61]
36	Jaroslaw Pietrzykowski	[71] [72]
37	James S. Ribeiro	[27]
38	Lorenza Saitta	[51]
39	Thipkesone Simanivanh	[76] [77]
40	J. B. Sinclair	[6]
41	Bartlomiej Sniezynski	[68] [69]
42	Robert E. Stepp	[5] [7] [15]
43	Tomasz Szydlo	[68]
44	Robert Szymacha	[69]
45	Gheorghe Tecuci	[24] [25]
46	William D. Wattenmaker	[17]
47	Patrick Henry Winston (Patrick H. Winston)	[14]
48	Janusz Wnek	[28] [33] [41]
49	Janusz Wojtusiak	[71] [72] [73] [74] [75] [76] [77]
50	Jianping Zhang	[18] [19] [21] [36]
51	Qi Zhang	[45]

Colors in the list of coauthors

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