| 2025 | ICAISC | Invariant Aircraft Recognition with Fourier and Dual-Tree Complex Wavelet Features. | Guangyi Chen, Adam Krzyzak, Ventzeslav Valev |
| 2022 | ICPRAM | Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. | Manuel S. Lazo-Corts, Jos Fco. Martnez-Trinidad, Jess Ariel Carrasco-Ochoa, Ventzeslav Valev, Mohammad Amin Shamshiri, Adam Krzyzak |
| 2022 | SSPR | A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. | Guangyi Chen, Adam Krzyzak, Ventzeslav Valev |
| 2020 | ICPR | Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. | Nicola Yanev, Ventzeslav Valev, Karima Ben Suliman, Adam Krzyzak |
| 2018 | SSPR | Supervised Classification Using Feature Space Partitioning. | Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman |
| 2016 | ICPR | A new geometrical approach for solving the supervised pattern recognition problem. | Ventzeslav Valev, Nicola Yanev, Adam Krzyzak |
| 2012 | ICPR | Classification using graph partitioning. | Ventzeslav Valev, Nicola Yanev |
| 2004 | CIARP | Supervised Pattern Recognition with Heterogeneous Features. | Ventzeslav Valev |
| 2003 | IRI | On Computational Complexity of Non-Reducible Descriptors. | Ventzeslav Valev, Asai Asaithambi |
| 2001 | IRI | A Decision-Tree Approach to the Discovery of Empirical Regularities. | Asai Asaithambi, Ventzeslav Valev |
| 2000 | ICPR | Generalized Non-Reducible Descriptors. | Ventzeslav Valev, Blent Sankur, Petia Radeva |
| 1998 | SSPR | Set Partition Principles Revisited. | Ventzeslav Valev |
| 1996 | ICPR | Construction of Boolean decision rules for ECG recognition by non-reducible descriptors. | Ventzeslav Valev, Petia Radeva |
| 1993 | CAIP | A Model-Based Image Quantization Technique for Supervised Image Recognition. | Ventzeslav Valev |
| 1992 | ICPR | A method of solving pattern or image recognition problems by learning Boolean formulas. | Ventzeslav Valev, Petia Radeva |
| 1988 | ICPR | On the representation of training tables in a K-valued code and the construction of empirical regularities. | Ventzeslav Valev |