| 2022 | HSI | Human System Interaction in Review: Advancing the Artificial Intelligence Transformation. | Daswin De Silva, Rashmika Nawaratne, Jacek Ruminski, Aleksander Malinowski, Milos Manic |
| 2020 | KES | Passenger BIBO detection with IoT support and machine learning techniques for intelligent transport systems. | Marcin W. Mastalerz, Aleksander Malinowski, Slawomir Kwiatkowski, Anna Sniegula, Bartosz Wieczorek |
| 2019 | HSI | Effective Training of RBF Networks. | Pawel Rzycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski |
| 2019 | HSI | The Impact of Architecture on the Deep Neural Networks Training. | Pawel Rzycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski |
| 2016 | IECON | On the implementation of area coverage optimization using mobile robots. | Md. Suruz Miah, Jacob Knoll, Aleksander Malinowski, Davide Spinello |
| 2015 | IECON | Topology discovery of hierarchical Ethernet LANs without SNMP support. | Krzysztof Nowicki, Aleksander Malinowski |
| 2003 | IJCNN | Solving parity-N problems with feedforward neural networks. | Bogdan M. Wilamowski, David K. Hunter, Aleksander Malinowski |
| 1999 | IJCNN | Efficient algorithm for training neural networks with one hidden layer. | Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski |
| 1995 | ISCAS | Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. | Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada |
| 1995 | ISCAS | Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks. | Syozo Yasui, Aleksander Malinowski, Jacek M. Zurada |
| 1994 | ISCAS | Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. | Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime |
| 1994 | ISCAS | Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. | Jacek M. Zurada, Aleksander Malinowski, Ian Cloete |
| 1993 | ISCAS | Modified Hebbian learning rule for single layer learning. | Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski |