| Review and Comparison of Commonly Used Activation Functions for Deep Neural Networks T Szandała Bio-inspired Neurocomputing, 203-224, 2020 | 466 | 2020 |
| Comparison of different learning algorithms for pattern recognition with hopfield's neural network T Szandała Procedia Computer Science 71, 68-75, 2015 | 22 | 2015 |
| Convolutional neural network for blur images detection as an alternative for Laplacian method T Szandała 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2901-2904, 2020 | 19 | 2020 |
| Unlocking the black box of CNNs: Visualising the decision-making process with PRISM T Szandała Information Sciences 642, 119162, 2023 | 12 | 2023 |
| Enhancing SEO in single-page web applications in contrast with multi-page applications K Kowalczyk, T Szandala IEEE Access, 2024 | 11 | 2024 |
| Enhancing deep neural network saliency visualizations with gradual extrapolation T Szandała IEEE Access 9, 95155-95161, 2021 | 7 | 2021 |
| The power of peer recognition points: does it really boost employee engagement? N Rusin, T Szandała Strategic HR Review, 2024 | 6 | 2024 |
| Automated method for evaluating neural network’s attention focus T Szandała, H Maciejewski Computational Science–ICCS 2021: 21st International Conference, Krakow …, 2021 | 3 | 2021 |
| Benchmarking comparison of swish vs. Other activation functions on cifar-10 imageset T Szandała Engineering in Dependability of Computer Systems and Networks: Proceedings …, 2020 | 3 | 2020 |
| PRISM: principal image sections mapping T Szandała, H Maciejewski International Conference on Computational Science, 749-760, 2022 | 2 | 2022 |
| TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization T Szandala arXiv preprint arXiv:2101.11266, 2021 | 1 | 2021 |
| Comparing Results of Sentiment Analysis Using Naive Bayes and Support Vector Machine in Distributed Apache Spark Environment T Szandala Computer Science & Information Technology (CS & IT), 2018 | 1 | 2018 |
| Classification Based on Lingual Variables Using Expert Matrix Obtained with Genetic Algorithm T Szandała Procedia Computer Science 71, 143-149, 2015 | 1 | 2015 |
| ChatGPT vs human expertise in the context of IT recruitment T Szandała Expert Systems with Applications 264, 125868, 2025 | | 2025 |
| The credentialism trap: are IT certifications overrated? T Szandała Strategic HR Review, 2024 | | 2024 |
| Discriminating feature ratio: Introducing metric for uncovering vulnerabilities in deep convolutional neural networks T Szandała, H Maciejewski Knowledge-Based Systems 302, 112306, 2024 | | 2024 |
| Using Convolutional Network Visualisation to Determine the Most Significant Pixels T Szandała Theory and Applications of Dependable Computer Systems: Proceedings of the …, 2020 | | 2020 |
| Genetically Evolved Extreme Learning Machine for Letter Recognition Dataset T Szandała Biologically Inspired Cognitive Architectures 2018: Proceedings of the Ninth …, 2019 | | 2019 |
| World of Games in the World of Education T Szandała Modern Journal of Language Teaching Methods (MJLTM), 2017 | | 2017 |
