Using neural networks for route and destination prediction in intelligent transport systems T Mikluščák, M Gregor, A Janota International Conference on Transport Systems Telematics, 380-387, 2012 | 31 | 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 (4), 1161-1168, 2017 | 17 | 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 | 15 | 2016 |
Using Weight Constraints and Masking to Improve Fuzzy Cognitive Map Models M Gregor, PP Groumpos, M Gregor Conference on Creativity in Intelligent Technologies and Data Science, 91-106, 2017 | 13 | 2017 |
Training fuzzy cognitive maps using gradient-based supervised learning M Gregor, PP Groumpos IFIP International Conference on Artificial Intelligence Applications and …, 2013 | 13 | 2013 |
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 |
Improving the Hybrid A* method for a non-holonomic wheeled robot D Nemec, M Gregor, E Bubenikova, M Hruboš, R Pirník International Journal of Advanced Robotic Systems 16 (1), 1729881419826857, 2019 | 10 | 2019 |
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 | 9 | 2019 |
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 |
A visual attention operator for playing Pac-Man M Gregor, D Nemec, A Janota, R Pirník 2018 ELEKTRO, 1-6, 2018 | 8 | 2018 |
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 |
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 |
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 |
Fitness-based adaptive control of parameters in genetic programming: adaptive value setting of mutation rate and flood mechanisms M Gregor, J Spalek arXiv preprint arXiv:1605.01514, 2016 | 4 | 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 | 4 | 2015 |
Curiosity-driven exploration in reinforcement learning M Gregor, J Spalek 2014 ELEKTRO, 435-440, 2014 | 4 | 2014 |
Sensor fusion for creating a three-dimensional model for mobile robot navigation M Hruboš, D Nemec, A Janota, R Pirník, E Bubenikova, M Gregor, ... International Journal of Advanced Robotic Systems 16 (4), 1729881419865072, 2019 | 3 | 2019 |
Visual localization and identification of vehicles inside a parking house D Nemec, M Hrubos, M Gregor, E Bubenikova Procedia engineering 192, 632-637, 2017 | 3 | 2017 |
On use of node-attached modules with ancestry tracking in genetic programming M Gregor, J Spalek IFAC Proceedings Volumes 45 (7), 128-133, 2012 | 3 | 2012 |