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Krzysztof Halawa, PhD
Email: krzysztof.halawa@pwr.edu.pl
Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering
ul. Z. Janiszewskiego 7, 50-372 Wrocław
building C-16, room P 2.2
phone +48 71 320 7625
Office hours
Wednesday 14.00-15.00
Wednesday (even week) 17.00-19.00
Thursday 13.00-15.00
Research fields
- Machine learning; neural networks; deep neural networks; artificial intelligence; digital image processing; artificial intelligence in audio; objective evaluation of audio quality.
Recent papers
2017
- Bazan M., Janiczek T., Halawa K., Wykrzykowski A., Łabuda P., A new method to estimate dimensions of vehicle using a single camera. Archives of Transport System Telematics. 2017, vol. 10, nr 3, s. 3-7.
2016
- Halawa K., Method enabling the first hidden layer of multilayer perceptrons to make division of space with various hypercurves. W: Artificial intelligence and soft computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016: proceedings. Pt. 1 / Leszek Rutkowski [i in.] (eds.). [Cham]: Springer, cop. 2016. s. 104-113.
(Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 9692) - Halawa K., Bazan M., Ciskowski P., Janiczek T., Kozaczewski P., Rusiecki A., Road traffic predictions across major city intersections using multilayer perceptrons and data from multiple intersections located in various places. IET Intelligent Transport Systems. 2016, vol. 10, nr 7, s. 469-475.
2014
- Halawa K., A new multilayer perceptron initialisation method with selection of weights on the basis of the function variability. W: Artificial intelligence and soft computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014: proceedings. Pt. 1 / Leszek Rutkowski [i in.] (eds.). Cham [i in.]: Springer, cop. 2014. s. 47-58.
(Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence, ISSN 0302-9743; vol. 8467)
2011
- Halawa K., A method to improve the performance of multilayer perceptron by utilizing various activation functions in the last hidden layer and the least squares method. Neural Processing Letters. 2011, vol. 34, nr 3, s. 293-303.