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Aleksander Malinowski
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2020 – today
- 2022
- [c19]Daswin De Silva, Rashmika Nawaratne, Jacek Ruminski, Aleksander Malinowski, Milos Manic:
Human System Interaction in Review: Advancing the Artificial Intelligence Transformation. HSI 2022: 1-5 - 2020
- [c18]Marcin W. Mastalerz, Aleksander Malinowski, Slawomir Kwiatkowski, Anna Sniegula, Bartosz Wieczorek:
Passenger BIBO detection with IoT support and machine learning techniques for intelligent transport systems. KES 2020: 3780-3793
2010 – 2019
- 2019
- [c17]Pawel Rózycki
, Janusz Kolbusz
Effective Training of RBF Networks. HSI 2019: 22-27 - [c16]Pawel Rózycki
The Impact of Architecture on the Deep Neural Networks Training. HSI 2019: 41-46 - 2017
- [c15]Md. Suruz Miah
Heterogeneous multi-robot trajectories for area coverage optimization. ISIE 2017: 1099-1104 - [c14]Jacob Knoll, Kyle Hevrdejs, Aleksander Malinowski
Virtual robot experiments for navigation in structured environments. ISIE 2017: 1173-1178 - 2016
- [c13]Krzysztof Nowicki, Aleksander Malinowski
More Just Measure of Fairness for Sharing Network Resources. CN 2016: 52-58 - [c12]Md. Suruz Miah
On the implementation of area coverage optimization using mobile robots. IECON 2016: 4916-4921 - 2015
- [j5]Piotr Gaj, Aleksander Malinowski
Guest editorial: Distributed data processing in industrial applications. IEEE Trans. Ind. Informatics 11(3): 737-740 (2015) - [c11]Krzysztof Nowicki, Aleksander Malinowski
Topology discovery of hierarchical Ethernet LANs without SNMP support. IECON 2015: 5439-5443 - 2011
- [j4]Aleksander Malinowski
Comparison of Embedded System Design for Industrial Applications. IEEE Trans. Ind. Informatics 7(2): 244-254 (2011) - [j3]Nam Pham, Aleksander Malinowski
Comparative Study of Derivative Free Optimization Algorithms. IEEE Trans. Ind. Informatics 7(4): 592-600 (2011)
2000 – 2009
- 2005
- [p2]Aleksander Malinowski, Bogdan M. Wilamowski:
The Transmission Control Protocol. The Industrial Information Technology Handbook 2005: 1-14 - [p1]Aleksander Malinowski, Bogdan M. Wilamowski:
The User Datagram protocol. The Industrial Information Technology Handbook 2005: 1-5 - 2001
- [j2]Bogdan M. Wilamowski, Aleksander Malinowski
Internet as a new graphical user interface for the SPICE circuit simulator. IEEE Trans. Ind. Electron. 48(6): 1266-1268 (2001)
1990 – 1999
- 1999
- [c10]Bogdan M. Wilamowski, Yixin Chen, Aleksander Malinowski
Efficient algorithm for training neural networks with one hidden layer. IJCNN 1999: 1725-1728 - 1997
- [j1]Jacek M. Zurada, Aleksander Malinowski
Perturbation method for deleting redundant inputs of perceptron networks. Neurocomputing 14(2): 177-193 (1997) - [c9]Jacek M. Zurada, Andrzej Lozowski, Aleksander Malinowski
Yield improvement for GaAs IC manufacturing using neural network inverse modeling. ICNN 1997: 800-805 - 1996
- [c8]Aleksander Malinowski, Damon A. Miller, Jacek M. Zurada:
Reduction of neural network models for identification and control of nonlinear systems. ICNN 1996: 2250-2254 - 1995
- [c7]Robert Kozma, Masaharu Kitamura, Aleksander Malinowski
On Performance Measures of Artificial Neural Networks Trained by Structural Learning with Forgetting. ANNES 1995: 22-25 - [c6]Aleksander Malinowski
Inverse control of nonlinear systems using neural network observer and inverse mapping approach. ICNN 1995: 2513-2518 - [c5]Syozo Yasui, Aleksander Malinowski
Convergence Suppression and Divergence Facilitation: New Approach to Prune Hidden Layer and Weights of Feedforward Neural Networks. ISCAS 1995: 121-124 - [c4]Aleksander Malinowski, Tomasz J. Cholewo, Jacek M. Zurada:
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons. ISCAS 1995: 131-134 - 1994
- [c3]Aleksander Malinowski, Jacek M. Zurada, Peter B. Aronhime:
Minimal Training Set Size Estimation for Neural Network-Based Function Approximation. ISCAS 1994: 403-406 - [c2]Jacek M. Zurada, Aleksander Malinowski
Sensitivity Analysis for Minimization of Input Data Dimension for Feedforward Neural Network. ISCAS 1994: 447-450 - 1993
- [c1]Jacek M. Zurada, Aleksander Malinowski, P. Przestrzelski:
Modified Hebbian learning rule for single layer learning. ISCAS 1993: 2407-2410
Coauthor Index
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