| 2024 | SISY | Fine-Tuning the High-Voltage Tower Pollution Model Using Distribution Identification. | Peter Krammer, Ondrej Habala, Michal Stano, Ladislav Hluch |
| 2023 | SACI | Refinement of an Environmental Pollution Model for the Needs of the Electric Power Industry by Addition of Precipitation Attributes. | Peter Krammer, Marcel Kvassay, Ondrej Habala, Jn Mojzis, Ladislav Hluch, Lubos Pavlov, Lubos Skurck |
| 2023 | SACI | Federated Learning Methods for Analytics of Big and Sensitive Distributed Data and Survey. | Michal Stano, Ladislav Hluch, Martin Bobk, Peter Krammer, Viet D. Tran |
| 2023 | SISY | Classification of Tree Species by Federated Learning. | Michal Stano, Stefan Dlugolinsk, Ladislav Hluch, Marcel Kvassay, Peter Krammer, Viet D. Tran |
| 2020 | FNC | Spatiotemporal Modelling of Transport Demand. | Peter Krammer, Marcel Kvassay, Ladislav Hluch |
| 2018 | FNC | Clustering analysis of online discussion participants. | Peter Krammer, Marcel Kvassay, Jn Mojzis, Ivana Budinska, Ladislav Hluch, Marek Jurkovic |
| 2018 | SISY | Enhanced Data Modelling Approach with Interval Estimation. | Peter Krammer, Marcel Kvassay, Ladislav Hluch |
| 2017 | ICNC | Improved regression method with interval estimation. | Peter Krammer, Marcel Kvassay, Ladislav Hluch |
| 2013 | SISY | Machine learning in radioactive nuclides identification. | Peter Krammer, Ladislav Hluch, Juraj Bartok |
| 2010 | SYNASC | Advanced Data Integration and Data Mining for Enviromental Scenarios. | Ladislav Hluch, Peter Krammer, Ondrej Habala, Martin Seleng, Viet D. Tran |
| 2005 | ETFA | Scene analysis with ultrasonic sensors. | Herbert F. Schweinzer, Peter Krammer |