| 2007 | ICMLA | The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results. | Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova |
| 2006 | GECCO | The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. | Janusz Wojtusiak, Ryszard S. Michalski |
| 2006 | ICTAI | Intelligent Optimization via Learnable Evolution Model. | Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A. Kaufman |
| 2006 | ICTAI | The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features. | Janusz Wojtusiak, Ryszard S. Michalski, Kenneth A. Kaufman, Jaroslaw Pietrzykowski |
| 2002 | GECCO | Recent Results from the Experimental Evaluation of the Learnable Evolution Model. | Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski |
| 2002 | ISMIS | Incremental Learning with Partial Instance Memory. | Marcus A. Maloof, Ryszard S. Michalski |
| 2000 | AAAI | Applying Learnable Evolution Model to Heat Exchanger Design. | Kenneth A. Kaufman, Ryszard S. Michalski |
| 2000 | CEC | Experimental validations of the learnable evolution model. | Guido Cervone, K. K. Kaufman, Ryszard S. Michalski |
| 2000 | FQAS | A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP. | Kenneth A. Kaufman, Ryszard S. Michalski |
| 2000 | ISMIS | Learning and Evolution: An Introduction to Non-darwinian Evolutionary Computation. | Ryszard S. Michalski |
| 2000 | PAKDD | Inductive Databases and Knowledge Scouts. | Ryszard S. Michalski |
| 1999 | GECCO | Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. | Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa |
| 1999 | ISMIS | Learning from Inconsistent and Noisy Data: The AQ18 Approach. | Kenneth A. Kaufman, Ryszard S. Michalski |
| 1998 | ACCV | Detecting Targets in SAR Images: A Machine Learning Approach. | Qi Zhang, Zoran Duric, Ryszard S. Michalski |
| 1996 | ISMIS | The AQ17-DCI System for Data-Driven Constructive Induction and its Application to the Analysis of World Economics. | Eric Bloedorn, Ryszard S. Michalski |
| 1996 | ISMIS | Learning for Decision Making: the FRD Approach and a Comparative Study. | Ibrahim F. Imam, Ryszard S. Michalski |
| 1996 | KDD | A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System. | Kenneth A. Kaufman, Ryszard S. Michalski |
| 1995 | ICTAI | A method for partial-memory incremental learning and its application to computer intrusion detection. | Marcus A. Maloof, Ryszard S. Michalski |
| 1994 | ISMIS | Learning Problem-Oriented Decision Structures from Decision Rule: The AQDT-2 System. | Ryszard S. Michalski, Ibrahim F. Imam |
| 1994 | KDD | From Facts to Rules to Decisions: An Overview of the FRD-1 System. | Ibrahim F. Imam, Ryszard S. Michalski |
| 1993 | ISMIS | Should Decision Trees be Learned from Examples of from Decision Rules? | Ibrahim F. Imam, Ryszard S. Michalski |
| 1992 | ICML | The Principal Axes Method for Constructive Induction. | Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek |
| 1991 | ICML | A Method for Multistrategy Task-Adaptive Learning Based on Plausible Justifications. | Gheorghe Tecuci, Ryszard S. Michalski |
| 1991 | ICTAI | Learning textural concepts through multilevel symbolic transformations. | Jerzy W. Bala, Ryszard S. Michalski |
| 1991 | ICTAI | Data-driven constructive induction in AQ17-PRE: A method and experiments. | Eric Bloedorn, Ryszard S. Michalski |
| 1991 | ISMIS | Knowledge Extraction from Databases: Design Princiles of the INLEN System. | Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg |
| 1991 | ISMIS | Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. | Gheorghe Tecuci, Ryszard S. Michalski |
| 1989 | ICML | A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues. | Jianping Zhang, Ryszard S. Michalski |
| 1988 | ISMIS | Representing and Acquiring Imprecise and Context-dependent Concepts in Knowledge-Based Systems. | Francesco Bergadano, Stan Matwin, Ryszard S. Michalski, Jianping Zhang |
| 1986 | AAAI | The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains. | Ryszard S. Michalski, Igor Mozetic, Jiarong Hong, Nada Lavrac |
| 1986 | ISMIS | Emerging principles in machine learning. | Ryszard S. Michalski |
| 1983 | IJCAI | Integrating Multiple Knowledge Representations and Learning Capabilities in an Expert System: The ADVISE System. | Ryszard S. Michalski, Arthur B. Baskin |
| 1982 | ECAI | PLANT/ds: An Expert Consulting System for the Diagnosis of Soybean Diseases. | Ryszard S. Michalski, J. H. Davis, V. S. Bisht, James B. Sinclair |
| 1981 | IJCAI | An Application of AI Techniques to Structuring Objects into an Optimal Conceptual Hierarchy. | Ryszard S. Michalski, Robert E. Stepp |
| 1979 | IJCAI | Learning and Generalization of Characteristic Descriptions: Evaluation Criteria and Comparative Review of Selected Methods. | Thomas G. Dietterich, Ryszard S. Michalski |
| 1977 | IJCAI | A System of Programs for Computer-Aided Induction: A Summary. | Ryszard S. Michalski |
| 1973 | IJCAI | Discovering Classification Rules Using variable-Valued Logic System VL | Ryszard S. Michalski |