| 2019 | GECCO | A stable hybrid method for feature subset selection using particle swarm optimization with local search. | Hassen Dhrif, Luis G. Snchez Giraldo, Miroslav Kubat, Stefan Wuchty |
| 2009 | FlAIRS | Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities. | Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne |
| 2009 | ICDM | Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. | Peerapon Vateekul, Miroslav Kubat |
| 2009 | PAKDD | Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains. | Sareewan Dendamrongvit, Miroslav Kubat |
| 2007 | FlAIRS | Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels. | Hans Holland, Miroslav Kubat, Jan Zizka |
| 2007 | FlAIRS | Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water. | Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett |
| 2005 | ICTAI | Query Size Estimation Using Clustering Techniques. | Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu |
| 2003 | FlAIRS | Association Mining in Gradually Changing Domains. | Antonin Rozsypal, Miroslav Kubat |
| 2002 | FlAIRS | Modifying Upstart for Use in Multiclass Numerical Domains. | Ronnie Fanguy, Miroslav Kubat |
| 2001 | ICML | Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. | Antonin Rozsypal, Miroslav Kubat |
| 2000 | ICML | Voting Nearest-Neighbor Subclassifiers. | Miroslav Kubat, Martin Cooperson Jr. |
| 1999 | AAAI | Initializing RBF-Networks with Small Subsets of Training Examples. | Miroslav Kubat, Martin Cooperson Jr. |
| 1997 | ICML | Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. | Miroslav Kubat, Stan Matwin |
| 1996 | ICML | Second Tier for Decision Trees. | Miroslav Kubat |
| 1995 | ESANN | Trimming the inputs of RBF networks. | Colin Andrew, Miroslav Kubat, Gert Pfurtscheller |
| 1992 | ECAI | Learning Flexible Concepts from Streams of Examples: FLORA 2. | Gerhard Widmer, Miroslav Kubat |