E-mail: maciej.huk@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Applied Informatics

pl. Grunwaldzki 9, 50-377 Wrocław
building D-2, room 302 B
phone +48 71 320 3643

Research fields

• contextual systems; artificial neural networks; selective attention; evolutionary algorithms; ensembles of classifiers; machine learning; artificial intelligence; data mining; intelligent sensors; Internet of Things; embedded systems; computer psychology; robotics.

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Recent papers

2018

• Huk, M. (2018) Weights Ordering During Training of Contextual Neural Networks with Generalized Error Backpropagation: Importance and Selection of Sorting Algorithms. In: Nguyen N., Hoang D., Hong TP., Pham H., Trawiński B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science, Vol. 10752. Springer, Cham, pp. 200-211

2017

• Huk, M. (2017) Context injection as a tool for measuring context usage in Machine Learning, In: Nguyen N., Tojo S., Nguyen L., Trawiński B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science, Vol. 10191. Springer, Cham

2012

• Huk, M. (2012) Backpropagation generalized delta rule for the selective attention Sigma-if artificial neural network, International Journal of Applied Mathematics and Computer Science, Vol. 22, No. 2, pp. 449-459

2011

• Huk, M. Szczepanik M (2011) Multiple classifier error probability for multi-class problems, Eksploatacja i Niezawodność - Maintenance and Reliability, Vol 51, No 3, pp. 12-20

2009

• Huk, M. (2009) Learning distributed selective attention strategies with the Sigma-if neural network, in M. Akbar and D. Hussain (Eds.), Advances in Computer Science and IT, InTech, Vukovar, pp. 209-232
  
  

Papers in DONA database

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Selected publications
1	Article 2023 Adam Barczyk, Małgorzata Czajkowska-Malinowska, Małgorzata Farnik, Marek Barczyk, Łukasz Boda, Szczepan Cofta, Jan Duława, Maciej Dyrbuś, Rafał Harat, Maciej Huk, Sylwia Kotecka, Artur Nahorecki, Jacek Nasiłowski, Wojciech Naumnik, Grzegorz Przybylski, Monika Słaboń-Willand, Szymon Skoczyński, Krystian Wita, Grzegorz Zioło, Piotr Kuna, Efficacy of oral amantadine among patients hospitalised with COVID-19: A randomised, double-blind, placebo-controlled, multicentre study. Respiratory Medicine. 2023, vol. 212, art. 107198, s. 1-7. ISSN: 0954-6111; 1532-3064 Resources:DOIURLSFX
2	Proceeding paper 2022 Thanh-Dua Huynh, Maciej Huk, Hung Dung Nguyen, Thai-Nghe Nguyen, An attendance checking system on mobile devices using transfer learning. W: New Trends in Intelligent Software Methodologies, Tools and Techniques : Proceedings of the 21st International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques (SoMeT_22) / eds. Hamido Fujita, Yutaka Watanobe, Takuya Azumi. Amsterdam : IOS Press, 2022. s. 499-506. ISBN: 978-1-64368-316-4; 978-1-64368-317-1 Resources:DOIURLSFX
3	Proceeding paper 2022 Maciej Huk, Avoiding time series prediction disbelief with ensemble classifiers in multi-class problem spaces. W: Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2022. s. 155-166. ISBN: 978-3-031-21966-5; 978-3-031-21967-2 Resources:DOIURLSFX
4	Proceeding paper 2021 Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto, Random Number Generators in Training of Contextual Neural Networks. W: Intelligent Information and Database Systems : 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2021. s. 717-730. ISBN: 978-3-030-73279-0; 978-3-030-73280-6 Resources:DOISFX
5	Proceeding paper 2020 Maciej Huk, Stochastic optimization of contextual neural networks with RMSprop. W: Intelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2020. s. 343-352. ISBN: 978-3-030-42057-4; 978-3-030-42058-1 Resources:DOIURLSFX
6	Monographs and other books editing 2020 Maciej Huk, Marcin Maleszka, Edward Szczerbicki, Intelligent Information and Database Systems: Recent Developments. Cham: Springer, cop. 2020. XVIII, 438 s. ISBN: 978-3-030-14131-8; 978-3-030-14132-5 (Studies in Computational Intelligence, ISSN 1860-949X; vol. 830) Resources:URL
7	Article 2019 Maciej Huk, Training contextual neural networks with rectifier activation functions: role and adoption of sorting methods. Journal of Intelligent & Fuzzy Systems. 2019, vol. 37, nr 6, s. 7493-7502. ISSN: 1064-1246; 1875-8967 Resources:DOIURLSFX
8	Patent 2019 Maciej Huk, Maciej Huk Patent. Europa, nr EP 3214874, opubl. 08.05.2019. Zgłosz. nr 16158039.4 z 01.03.2016. Sensoric system energy limiter with selective attention neural network / Michalski Hüttermann & Partner Patentanwälte mbB; Maciej Huk. 13 s. Resources:URL
9	Proceeding paper 2019 Maciej Huk, Non-uniform initialization of inputs groupings in contextual neural networks. W: Intelligent Information and Database Systems : 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8-11, 2019 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2019. s. 420-428. ISBN: 978-3-030-14801-0; 978-3-030-14802-7 Resources:DOISFX
10	Proceeding paper 2018 Maciej Huk, Variable entropy of noise in evaluation of effectiveness of context usage by machine learning methods. W: 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 : Miyazaki, Japan, 7-10 October 2018 : proceedings. Piscataway, NJ : IEEE, cop. 2018. s. 710-715. ISBN: 978-1-5386-6650-0 Resources:DOI

All publications