| Using neural networks for route and destination prediction in intelligent transport systems T Mikluščák, M Gregor, A Janota Telematics in the Transport Environment: 12th International Conference on …, 2012 | 36 | 2012 |
| Control of the mobile robot by hand movement measured by inertial sensors D Nemec, A Janota, M Gregor, M Hruboš, R Pirník Electrical Engineering 99, 1161-1168, 2017 | 19 | 2017 |
| Searching for collisions between mobile robot and environment M Hruboš, J Svetlík, Y Nikitin, R Pirník, D Nemec, V Šimák, A Janota, ... International journal of advanced robotic systems 13 (5), 1729881416667500, 2016 | 17 | 2016 |
| Improving the Hybrid A* method for a non-holonomic wheeled robot D Nemec, M Gregor, E Bubeníková, M Hruboš, R Pirnik International Journal of Advanced Robotic Systems 16 (1), 1729881419826857, 2019 | 15 | 2019 |
| Using Weight Constraints and Masking to Improve Fuzzy Cognitive Map Models M Gregor, PP Groumpos, M Gregor Creativity in Intelligent Technologies and Data Science: Second Conference …, 2017 | 14 | 2017 |
| Training fuzzy cognitive maps using gradient-based supervised learning M Gregor, PP Groumpos Artificial Intelligence Applications and Innovations: 9th IFIP WG 12.5 …, 2013 | 14 | 2013 |
| A route planner using a delegate multi-agent system for a modular manufacturing line: Proof of concept L Ďurica, M Gregor, V Vavrík, M Marschall, P Grznár, Š Mozol Applied Sciences 9 (21), 4515, 2019 | 12 | 2019 |
| Use of context blocks in genetic programming for evolution of robot morphology M Gregor, J Spalek, J Capák 2012 ELEKTRO, 286-291, 2012 | 11 | 2012 |
| A visual attention operator for playing Pac-Man M Gregor, D Nemec, A Janota, R Pirník 2018 ELEKTRO, 1-6, 2018 | 9 | 2018 |
| Novelty detector for reinforcement learning based on forecasting M Gregor, J Spalek 2014 IEEE 12th International Symposium on Applied Machine Intelligence and …, 2014 | 9 | 2014 |
| Tuning the Position of a Fuzzy Cognitive Map Attractor using Backpropagation through Time M Gregor, PP Groumpos The 7th International Conference on Integrated Modeling and Analysis in …, 2013 | 7 | 2013 |
| Person movement prediction using artificial neural networks with dynamic training on a fixed-size training data set T Mikluščak, M Gregor Applied Computer Science 7 (2), 2011 | 7 | 2011 |
| Transfer learning for classification of parking spots using residual networks M Gregor, R Pirník, D Nemec Transportation Research Procedia 40, 1327-1334, 2019 | 6 | 2019 |
| Simulation Metamodelling of Manufacturing Systems with the use of Artificial Neural Networks M Gregor, S Palajová, M Gregor Conference on Modern Information Technology in the Innovation Processs of …, 2012 | 6 | 2012 |
| On the development of an acoustic-driven method to improve driver’s comfort based on deep reinforcement learning ER Nascimento, R Bajcsy, M Gregor, I Huang, I Villegas, G Kurillo IEEE Transactions on Intelligent Transportation Systems 22 (5), 2923-2932, 2020 | 5 | 2020 |
| Mutual acoustic identification in the swarm of e-puck robots D Nemec, A Janota, M Hruboš, M Gregor, R Pirník International Journal of Advanced Robotic Systems 14 (3), 1729881417710794, 2017 | 5 | 2017 |
| Visual localization and identification of vehicles inside a parking house D Nemec, M Hrubos, M Gregor, E Bubenikova Procedia engineering 192, 632-637, 2017 | 5 | 2017 |
| Automatic tuning of a fuzzy meta-model for evacuation speed estimation M Gregor, I Miklóšik, J Spalek 2016 Cybernetics & Informatics (K&I), 1-6, 2016 | 5 | 2016 |
| The zebra puzzle and getting to know your tools M Gregor, K Zábovská, V Smataník 2015 IEEE 19th International Conference on Intelligent Engineering Systems …, 2015 | 5 | 2015 |
| Curiosity-driven exploration in reinforcement learning M Gregor, J Spalek 2014 ELEKTRO, 435-440, 2014 | 5 | 2014 |
Aleš JANOTAprofesor automatizácie - Žilinská univerzita (University of Zilina)Verified email at fel.uniza.sk
