| Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists MA Khan, I Ashraf, M Alhaisoni, R Damaševičius, R Scherer, A Rehman, ... Diagnostics 10 (8), 565, 2020 | 451 | 2020 |
| Accurate and fast URL phishing detector: a convolutional neural network approach W Wei, Q Ke, J Nowak, M Korytkowski, R Scherer, M Woźniak Computer Networks 178, 107275, 2020 | 250 | 2020 |
| LSTM recurrent neural networks for short text and sentiment classification J Nowak, A Taspinar, R Scherer International conference on artificial intelligence and soft computing, 553-562, 2017 | 228 | 2017 |
| Pearson correlation-based feature selection for document classification using balanced training IM Nasir, MA Khan, M Yasmin, JH Shah, M Gabryel, R Scherer, ... Sensors 20 (23), 6793, 2020 | 170 | 2020 |
| Fast image classification by boosting fuzzy classifiers M Korytkowski, L Rutkowski, R Scherer Information Sciences 327, 175-182, 2016 | 169 | 2016 |
| Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part I L Rutkowski, M Korytkowski, R Scherer, R Tadeusiewicz, LA Zadeh, ... Springer, 2013 | 90* | 2013 |
| Short-term load forecasting based on adabelief optimized temporal convolutional network and gated recurrent unit hybrid neural network H Shi, L Wang, R Scherer, M Woźniak, P Zhang, W Wei IEEE Access 9, 66965-66981, 2021 | 75 | 2021 |
| Multiple fuzzy classification systems R Scherer Springer, 2012 | 66 | 2012 |
| From ensemble of fuzzy classifiers to single fuzzy rule base classifier M Korytkowski, L Rutkowski, R Scherer International Conference on Artificial Intelligence and Soft Computing, 265-272, 2008 | 64 | 2008 |
| Prediction of streamflow based on dynamic sliding window LSTM L Dong, D Fang, X Wang, W Wei, R Damaševičius, R Scherer, M Woźniak Water 12 (11), 3032, 2020 | 62 | 2020 |
| Hemigen: human embryo image generator based on generative adversarial networks D Dirvanauskas, R Maskeliūnas, V Raudonis, R Damaševičius, R Scherer Sensors 19 (16), 3578, 2019 | 62 | 2019 |
| On combining backpropagation with boosting M Korytkowski, L Rutkowski, R Scherer The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 61 | 2006 |
| Abnormal detection of electricity consumption of user based on particle swarm optimization and long short term memory with the attention mechanism J Bian, L Wang, R Scherer, M Woźniak, P Zhang, W Wei IEEE Access 9, 47252-47265, 2021 | 57 | 2021 |
| Computer vision methods for fast image classification and retrieval R Scherer Springer International Publishing, 2020 | 51 | 2020 |
| Deep learning for human activity recognition on 3D human skeleton: Survey and comparative study HC Nguyen, TH Nguyen, R Scherer, VH Le Sensors 23 (11), 5121, 2023 | 49 | 2023 |
| Fuzzy clustering decomposition of genetic algorithm-based instance selection for regression problems M Kordos, M Blachnik, R Scherer Information Sciences 587, 23-40, 2022 | 43 | 2022 |
| From single image to list of objects based on edge and blob detection R Grycuk, M Gabryel, M Korytkowski, R Scherer, S Voloshynovskiy International Conference on Artificial Intelligence and Soft Computing, 605-615, 2014 | 43 | 2014 |
| Springer: Cham L Rutkowski, M Korytkowski, R Scherer, R Tadeusiewicz, L Zadeh, ... Switzerland, 2019 | 40 | 2019 |
| Boosting ensemble of relational neuro-fuzzy systems R Scherer International Conference on Artificial Intelligence and Soft Computing, 306-313, 2006 | 37 | 2006 |
| Unified end-to-end YOLOv5-HR-TCM framework for automatic 2D/3D human pose estimation for real-time applications HC Nguyen, TH Nguyen, R Scherer, VH Le Sensors 22 (14), 5419, 2022 | 35 | 2022 |
Leszek RutkowskiAGH University and Systems Research Institute of the Polish Academy of SciencesVerified email at agh.edu.pl
