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2020 – today
- 2022
[c14]Maciej Huk
:
Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces. ACIIDS (2) 2022: 155-166- [c13]Huynh Thanh-Du, Maciej Huk, Nguyen Hung Dung, Nguyen Thai-Nghe:
An Attendance Checking System on Mobile Devices Using Transfer Learning. SoMeT 2022: 499-506 - 2021
- [c12]Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto:
Random Number Generators in Training of Contextual Neural Networks. ACIIDS 2021: 717-730 - 2020
- [c11]Maciej Huk:
Stochastic Optimization of Contextual Neural Networks with RMSprop. ACIIDS (2) 2020: 343-352 - [e1]Maciej Huk, Marcin Maleszka, Edward Szczerbicki:
Intelligent Information and Database Systems: Recent Developments, 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, 8-11 April 2019, Extended Posters. Studies in Computational Intelligence 830, Springer 2020, ISBN 978-3-030-14131-8 [contents]
2010 – 2019
- 2019
- [j4]Maciej Huk:
Training contextual neural networks with rectifier activation functions: Role and adoption of sorting methods. J. Intell. Fuzzy Syst. 37(6): 7493-7502 (2019) - [c10]Maciej Huk:
Non-uniform Initialization of Inputs Groupings in Contextual Neural Networks. ACIIDS (2) 2019: 420-428 - 2018
- [c9]Maciej Huk:
Weights Ordering During Training of Contextual Neural Networks with Generalized Error Backpropagation: Importance and Selection of Sorting Algorithms. ACIIDS (2) 2018: 200-211 - [c8]Maciej Huk:
Variable Entropy of Noise in Evaluation of Effectiveness of Context Usage by Machine Learning Methods. SMC 2018: 710-715 - 2017
- [j3]Maciej Huk:
Notes on the generalized backpropagation algorithm for contextual neural networks with conditional aggregation functions. J. Intell. Fuzzy Syst. 32(2): 1365-1376 (2017) - [c7]Maciej Huk:
Context Injection as a Tool for Measuring Context Usage in Machine Learning. ACIIDS (1) 2017: 697-708 - [c6]Maciej Huk:
Measuring the Effectiveness of Hidden Context Usage by Machine Learning Methods under Conditions of Increased Entropy of Noise. CYBCONF 2017: 1-6 - 2016
- [c5]Maciej Huk:
Using Context-Aware Environment for Elderly Abuse Prevention. ACIIDS (2) 2016: 567-574 - [c4]Maciej Huk:
Measuring computational awareness in contextual neural networks. SMC 2016: 2254-2259 - 2015
- [c3]Maciej Huk, Jan Kwiatkowski, Dariusz Konieczny, Michal Kedziora, Jolanta Mizera-Pietraszko:
Context-sensitive text mining with fitness leveling Genetic Algorithm. CYBCONF 2015: 342-347 - [c2]Maciej Huk, Jolanta Mizera-Pietraszko:
Context-related data processing in artificial neural networks for higher reliability of telerehabilitation systems. HealthCom 2015: 217-221 - [c1]Maciej Huk, Jolanta Mizera-Pietraszko:
Application of Genetic Algorithms to Context-Sensitive Text Mining. ICADIWT 2015: 273-284 - 2012
- [j2]Maciej Huk:
Backpropagation generalized delta rule for the selective attention Sigma-if artificial neural network. Int. J. Appl. Math. Comput. Sci. 22(2): 449-459 (2012)
2000 – 2009
- 2006
- [j1]Maciej Huk:
Sigma-if neural network as the use of selective attention technique in classification and knowledge discovery problems solving. Ann. UMCS Informatica 5(1): 121-131 (2006)
Coauthor Index
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