| 2022 | IDA | On Usefulness of Outlier Elimination in Classification Tasks. | Dusan Hetlerovic, Lubos Popelnsk, Pavel Brazdil, Carlos Soares, Fernando Freitas |
| 2019 | IDEAS | A genetic algorithm for discriminative graph pattern mining. | Karel Vaculk, Lubos Popelnsk |
| 2018 | IDEAS | WalDis: Mining Discriminative Patterns within Dynamic Graphs. | Karel Vaculk, Lubos Popelnsk |
| 2016 | AIMSA | Visual Anomaly Detection in Educational Data. | Jan Gryk, Lubos Popelnsk, Jozef Trisck |
| 2016 | IDA | DGRMiner: Anomaly Detection and Explanation in Dynamic Graphs. | Karel Vaculk, Lubos Popelnsk |
| 2015 | IDA | Class-Based Outlier Detection: Staying Zombies or Awaiting for Resurrection? | Leona Nezvalov, Lubos Popelnsk, Lus Torgo, Karel Vaculk |
| 2014 | AIMSA | Educational Data Mining for Analysis of Students' Solutions. | Karel Vaculk, Leona Nezvalov, Lubos Popelnsk |
| 2014 | CSEDU | Graph Mining for Automatic Classification of Logical Proofs. | Karel Vaculk, Lubos Popelnsk |
| 2014 | EDM | Graph Mining and Outlier Detection Meet Logic Proof Tutoring. | Karel Vaculk, Leona Nezvalov, Lubos Popelnsk |
| 2014 | IDEAS | Rapid prototyping of a web categorization tool. | Jaromr Navrtil, Lubos Popelnsk |
| 2012 | EDM | Predicting drop-out from social behaviour of students. | Tomas Obsivac, Lubos Popelnsk, Jaroslav Bayer, Jan Geryk, Hana Bydzovsk |
| 2004 | ACL | Fragments and Text Categorization. | Jan Blatak, Eva Mrkov, Lubos Popelnsk |
| 2002 | AIMSA | Efficient Relational Learning from Sparse Data. | Lubos Popelnsk |
| 2000 | CoNLL | Recognition and Tagging of Compound Verb Groups in Czech. | Eva Zckov, Lubos Popelnsk, Miloslav Nepil |
| 1994 | LOPSTR | On the Use of Inductive Reasoning in Program Synthesis: Prejudice and Prospects. | Pierre Flener, Lubos Popelnsk |
| 1991 | LOPSTR | Towards Synthesis of Nearly Pure Prolog Programs (Extende Abstract). | Lubos Popelnsk |