Maciej Huk

21 papers B 3C 2Journal 4Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
Billiards-Based Generation of Multi-task, Dense Subitizing Detection Diagrams.
ACIIDS (2)
Maciej Huk
2025 — conf
Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-Target Activities for K562 and Hek293 Cell Lines.
ACIIDS (1)
Maciej Powierza, Lukasz Laczmanski, Maciej Huk
2022 C conf
An Attendance Checking System on Mobile Devices Using Transfer Learning.
SoMeT
Huynh Thanh-Du, Maciej Huk, Nguyen Hung Dung, Nguyen Thai-Nghe
2022 — conf
Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces.
ACIIDS (2)
Maciej Huk
2021 B conf
Random Number Generators in Training of Contextual Neural Networks.
ACIIDS
Maciej Huk, Kilho Shin, Tetsuji Kuboyama, Takako Hashimoto
2020 — ed.
Intelligent Information and Database Systems: Recent Developments, 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, 8-11 April 2019, Extended Posters
ACIIDS (Extended Posters)
Maciej Huk, Marcin Maleszka, Edward Szczerbicki
2020 — conf
Stochastic Optimization of Contextual Neural Networks with RMSprop.
ACIIDS (2)
Maciej Huk
2019 — conf
Non-uniform Initialization of Inputs Groupings in Contextual Neural Networks.
ACIIDS (2)
Maciej Huk
2019 J jnl
Training contextual neural networks with rectifier activation functions: Role and adoption of sorting methods.
J. Intell. Fuzzy Syst.
Maciej Huk
2018 B conf
Variable Entropy of Noise in Evaluation of Effectiveness of Context Usage by Machine Learning Methods.
SMC
Maciej Huk
2018 — conf
Weights Ordering During Training of Contextual Neural Networks with Generalized Error Backpropagation: Importance and Selection of Sorting Algorithms.
ACIIDS (2)
Maciej Huk
2017 — conf
Context Injection as a Tool for Measuring Context Usage in Machine Learning.
ACIIDS (1)
Maciej Huk
2017 — conf
Measuring the Effectiveness of Hidden Context Usage by Machine Learning Methods under Conditions of Increased Entropy of Noise.
CYBCONF
Maciej Huk
2017 J jnl
Notes on the generalized backpropagation algorithm for contextual neural networks with conditional aggregation functions.
J. Intell. Fuzzy Syst.
Maciej Huk
2016 B conf
Measuring computational awareness in contextual neural networks.
SMC
Maciej Huk
2016 — conf
Using Context-Aware Environment for Elderly Abuse Prevention.
ACIIDS (2)
Maciej Huk
2015 — conf
Application of Genetic Algorithms to Context-Sensitive Text Mining.
ICADIWT
Maciej Huk, Jolanta Mizera-Pietraszko
2015 C conf
Context-related data processing in artificial neural networks for higher reliability of telerehabilitation systems.
HealthCom
Maciej Huk, Jolanta Mizera-Pietraszko
2015 — conf
Context-sensitive text mining with fitness leveling Genetic Algorithm.
CYBCONF
Maciej Huk, Jan Kwiatkowski, Dariusz Konieczny, Michal Kedziora, Jolanta Mizera-Pietraszko
2012 J jnl
Backpropagation generalized delta rule for the selective attention Sigma-if artificial neural network.
Int. J. Appl. Math. Comput. Sci.
Maciej Huk
2006 J jnl
Sigma-if neural network as the use of selective attention technique in classification and knowledge discovery problems solving.
Ann. UMCS Informatica
Maciej Huk