| Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media K Chakraborty, S Bhatia, S Bhattacharyya, J Platos, R Bag, AE Hassanien Applied Soft Computing 97, 106754, 2020 | 139 | 2020 |
| Fuzzy classification by evolutionary algorithms P Krömer, J Platoš, V Snášel, A Abraham 2011 IEEE International Conference on Systems, Man, and Cybernetics, 313-318, 2011 | 67 | 2011 |
| A heuristic approach to active demand side management in off-grid systems operated in a smart-grid environment S Mišák, J Stuchlý, J Platoš, P Krömer Energy and buildings 96, 272-284, 2015 | 55 | 2015 |
| Many-threaded implementation of differential evolution for the CUDA platform P Krömer, V Snĺšel, J Platoš, A Abraham Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 48 | 2011 |
| Nature-inspired meta-heuristics on modern GPUs: state of the art and brief survey of selected algorithms P Krömer, J Platoš, V Snášel International Journal of Parallel Programming 42 (5), 681-709, 2014 | 45 | 2014 |
| Lightweight spectral–spatial squeeze-and-excitation residual bag-of-features learning for hyperspectral classification SK Roy, S Chatterjee, S Bhattacharyya, BB Chaudhuri, J Platoš IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5277-5290, 2020 | 43 | 2020 |
| Social and swarm aspects of co-authorship network M Kudělka, Z Horák, V Snášel, P Krömer, J Platoš, A Abraham Logic Journal of the IGPL 20 (3), 634-643, 2012 | 38 | 2012 |
| Compression of small text files J Platoš, V Snášel, E El-Qawasmeh Advanced engineering informatics 22 (3), 410-417, 2008 | 36 | 2008 |
| Fast decoding algorithms for variable-lengths codes J Walder, M Krátký, R Bača, J Platoš, V Snášel Information sciences 183 (1), 66-91, 2012 | 31 | 2012 |
| Multi-class SVM based classification approach for tomato ripeness E Elhariri, N El-Bendary, MMM Fouad, J Platoš, AE Hassanien, ... Innovations in Bio-inspired Computing and Applications, 175-186, 2014 | 29 | 2014 |
| Optimal column subset selection for image classification by genetic algorithms P Krömer, J Platoš, J Nowaková, V Snášel Annals of Operations Research 265 (2), 205-222, 2018 | 26 | 2018 |
| The evolution of fuzzy classifier for data mining with applications V Snášel, P Krömer, J Platoš, A Abraham Asia-Pacific Conference on Simulated Evolution and Learning, 349-358, 2010 | 26 | 2010 |
| A PSO-based document classification algorithm accelerated by the CUDA platform J Platos, V Snasel, T Jezowicz, P Kromer, A Abraham 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2012 | 25 | 2012 |
| Non-negative matrix factorization on GPU J Platoš, P Gajdoš, P Krömer, V Snášel International Conference on Networked Digital Technologies, 21-30, 2010 | 25 | 2010 |
| Border collie optimization T Dutta, S Bhattacharyya, S Dey, J Platos IEEE Access 8, 109177-109197, 2020 | 23 | 2020 |
| Towards new directions of data mining by evolutionary fuzzy rules and symbolic regression P Krömer, S Owais, J Platoš, V Snášel Computers & Mathematics with Applications 66 (2), 190-200, 2013 | 23 | 2013 |
| A comparison of many-threaded differential evolution and genetic algorithms on CUDA P Krömer, J Platoš, V Snášel, A Abraham 2011 Third World Congress on Nature and Biologically Inspired Computing, 509-514, 2011 | 23 | 2011 |
| Genetically evolved fuzzy predictor for photovoltaic power output estimation P Kromer, J Platos, A Abraham, L Prokop, S Misak 2011 Third International Conference on Intelligent Networking and …, 2011 | 21 | 2011 |
| Hash functions based on large quasigroups V Snášel, A Abraham, J Dvorský, P Krömer, J Platoš International Conference on Computational Science, 521-529, 2009 | 21 | 2009 |
| Supervised learning of photovoltaic power plant output prediction models L Prokop, S Misak, V Snaásel, J Platos, P Krömer Neural Network World 23 (4), 321, 2013 | 20 | 2013 |
Vaclav SnaselVSB -Technical University of OstravaVerified email at vsb.cz
