| 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 | 417 | 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 | 154 | 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 | 88 | 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 | 59 | 2020 |
| A novel grid-based clustering algorithm A Starczewski, MM Scherer, W Ksiek, M Dȩbski, L Wang Journal of Artificial Intelligence and Soft Computing Research, 2021 | 29 | 2021 |
| A novel approach for predicting the survival of colorectal cancer patients using machine learning techniques and advanced parameter optimization methods A Woźniacki, W Książek, P Mrowczyk Cancers 16 (18), 3205, 2024 | 22 | 2024 |
| 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 | 20 | 2022 |
| Explainable thyroid cancer diagnosis through two-level machine learning optimization with an improved naked mole-rat algorithm W Książek Cancers 16 (24), 4128, 2024 | 16 | 2024 |
| 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 | 12 | 2021 |
| 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 | 8 | 2021 |
| GLCM and Genetic Algorithms for Automated Diabetic Retinopathy Prediction Based on Retinal Images M Gandor, W Książek Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2025 | 1 | 2025 |
| DetPy (Differential Evolution Tools): A Python toolbox for solving optimization problems using differential evolution B Zieliński, S Ściegienny, H Orlicki, W Książek SoftwareX 29, 102014, 2025 | 1 | 2025 |
| Multi-criteria evaluation of floating photovoltaics considering a strong sustainability paradigm regarding sustainable solutions A Ba̧czkiewicz, J Wa̧tróbski, A Shkurina, W Ksia̧żek European Conference on Artificial Intelligence, 224-236, 2024 | 1 | 2024 |
| Version [2.0. 0]-[DetPy (Differential evolution tools): A python toolbox for solving optimization problems using differential evolution] K Groń, D Golonka, W Książek SoftwareX 33, 102509, 2026 | | 2026 |
| Acoustic Side-Channel Vulnerabilities in Keyboard Input Explored Through Convolutional Neural Network Modeling: A Pilot Study M Rzemieniuk, A Niewiarowski, W Książek Applied Sciences 16 (2), 563, 2026 | | 2026 |
| Capsule Neural Networks with Bayesian Optimization for Pediatric Pneumonia Detection from Chest X-Ray Images S Salamon, W Książek Journal of Clinical Medicine 14 (20), 7212, 2025 | | 2025 |
| Diagnostics of diabetic retinopathy based on fundus photos using machine learning methods with advanced feature engineering algorithms M Gandor, F Pałka, W Książek, P Pławiak, A Siedlecka, T Jeruzalski, ... Scientific Reports 15 (1), 34486, 2025 | | 2025 |
| Applications of Genetic Algorithms in Neural Networks W Książek Complex, Hypercomplex and Fuzzy-Valued Neural Networks, 40-56, 2025 | | 2025 |
| DetPy S Ściegienny, B Zieliński, H Orlicki, W Książek | | 2025 |
| Przewidywanie przeżywalności pacjentów chorych na nowotwór wątrobokomórkowy z wykorzystaniem metod uczenia maszynowego W Książek | | 2023 |
