| A new machine learning technique for an accurate diagnosis of coronary artery disease M Abdar, W Książek, UR Acharya, RS Tan, V Makarenkov, P Pławiak Computer methods and programs in biomedicine 179, 104992, 2019 | 299 | 2019 |
| A novel machine learning approach for early detection of hepatocellular carcinoma patients W Książek, M Abdar, UR Acharya, P Pławiak Cognitive Systems Research 54, 116-127, 2019 | 124 | 2019 |
| Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma W Książek, M Gandor, P Pławiak Computers in Biology and Medicine 134, 104431, 2021 | 53 | 2021 |
| Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection W Książek, M Hammad, P Pławiak, UR Acharya, R Tadeusiewicz Biocybernetics and Biomedical Engineering 40 (4), 1512-1524, 2020 | 35 | 2020 |
| A novel grid-based clustering algorithm A Starczewski, MM Scherer, W Książek, M Dębski, L Wang Journal of Artificial Intelligence and Soft Computing Research 11 (4), 319-330, 2021 | 14 | 2021 |
| NCA‐GA‐SVM: a new two‐level feature selection method based on neighborhood component analysis and genetic algorithm in hepatocellular carcinoma fatality prognosis W Książek, F Turza, P Pławiak International Journal for Numerical Methods in Biomedical Engineering 38 (6 …, 2022 | 9 | 2022 |
| Transmission quality classification with use of fusion of neural network and genetic algorithm in Pay&Require multi-agent managed network D Żelasko, W Książek, P Pławiak Sensors 21 (12), 4090, 2021 | 6 | 2021 |
| Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios F Pałka, W Książek, P Pławiak, M Romaszewski, K Książek Sensors 21 (7), 2293, 2021 | 3 | 2021 |
