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ORCIDAnatoliy Batyuk
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2020 – today
- 2023
[j2]Vinoth Kumar Venkatesan
, Mahesh Thylore Ramakrishna, Anatoliy Batyuk, Andrii Barna, Bohdana Havrysh:
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach. Syst. 11(2): 81 (2023)- [c38]Maksym Arzubov, Olga Narushynska, Anatoliy Batyuk, Nazarii Cherkas:
Concept of Server-side Clusterization of Semi-Static Big Geodata for Web Maps. CSIT 2023: 1-4 - [c37]Nazarii Cherkas, Anatoliy Batyuk, Maksym Arzubov:
Maximal Extractable Value in Blockchains: Current Trends. CSIT 2023: 1-4 - [c36]Vladyslav Kotsovsky, Anatoliy Batyuk:
Improved Architecture and the Synthesis Algorithm for Bithreshold Neural Network Classifier. CSIT 2023: 1-4 - [c35]Vladyslav Kotsovsky, Anatoliy Batyuk:
Multithreshold Neural Units and Networks. CSIT 2023: 1-5 - 2022
- [j1]Vasyl Teslyuk, Anatoliy Batyuk, Volodymyr Voityshyn:
Method of Software Development Project Duration Estimation for Scrum Teams with Differentiated Specializations. Syst. 10(4): 123 (2022) - [c34]Vladyslav Kotsovsky, Anatoliy Batyuk:
Feed-forward Neural Network Classifiers with Bithreshold-like Activations. CSIT 2022: 9-12 - [c33]Vladyslav Kotsovsky, Anatoliy Batyuk:
Spectral Approach to Solving the Problem of Bithreshold Separability. CSIT 2022: 56-60 - [c32]Oksana Mulesa, Olena Yatsyna, Olena Melnyk, Ivan Myronyuk, Igor Povkhan, Anatoliy Batyuk:
Prediction of the Occurrence of Threatening Conditions in Individuals as a Problem of Assigning an Object to a Class. CSIT 2022: 332-335 - [c31]Vasyl Teslyuk, Anatoliy Batyuk, Volodymyr Voityshyn:
Method of Recommending a Scrum Team Composition for Intermediate Estimation of Software Development Projects. CSIT 2022: 373-376 - 2021
- [c30]Vladyslav Kotsovsky, Anatoliy Batyuk, Volodymyr Voityshyn:
On the Size of Weights for Bithreshold Neurons and Networks. CSIT (1) 2021: 13-16 - [c29]Vladyslav Kotsovsky, Anatoliy Batyuk:
Decision List-Based Representation of Bithreshold Functions. CSIT (1) 2021: 21-24 - [c28]Oksana Mulesa, Anatoliy Batyuk, Fedir Geche, Olena Melnyk, Mykola Palinchak, Tamara Radivilova:
Information technology for time series forecasting based on the evolutionary method of the forecasting scheme synthesis. CSIT (2) 2021: 258-261 - [c27]Ivan Izonin, Roman Tkachenko, Roman Pidkostelnyi, Olena Pavliuk, Viktor Khavalko, Anatoliy Batyuk:
Experimental Evaluation of the Effectiveness of ANN-based Numerical Data Augmentation Methods for Diagnostics Tasks. IDDM 2021: 223-232 - 2020
- [c26]Vladyslav Kotsovsky, Anatoliy Batyuk, Ivan Mykoriak:
The Computation Power and Capacity of Bithreshold Neurons. CSIT (1) 2020: 28-31 - [c25]Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk:
Bithreshold Neural Network Classifier. CSIT (1) 2020: 32-35 - [c24]Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk:
Synthesis of the Centered Bithreshold Neural Network Classifier. CSIT 2020: 225-239 - [c23]Vladyslav Kotsovsky, Anatoliy Batyuk:
Capabilities and Application of Bithreshold Neurons and Networks. CSIT 2020: 287-305 - [c22]Vladyslav Kotsovsky, Anatoliy Batyuk:
On-Line Relaxation Versus Off-Line Spectral Algorithm in the Learning of Polynomial Neural Units. DSMP (Selected Papers) 2020: 3-21 - [c21]Vladyslav Kotsovsky, Anatoliy Batyuk, Maksym Yurchenko:
New Approaches in the Learning of Complex-Valued Neural Networks. DSMP 2020: 50-54 - [c20]Fedir Geche, Anatoliy Batyuk, Oksana Mulesa, Veronika Voloshchuk:
The Combined Time Series Forecasting Model. DSMP 2020: 272-275 - [c19]Anatoliy Batyuk, Volodymyr Voityshyn:
Streaming Process Discovery Method for Semi-Structured Business Processes. DSMP 2020: 444-448 - [c18]Vladyslav Kotsovsky, Anatoliy Batyuk:
Representational Capabilities and Learning of Bithreshold Neural Networks. ISDMCI 2020: 499-514
2010 – 2019
- 2019
- [c17]Fedir Geche, Oksana Mulesa, Veronika Voloshchuk, Anatoliy Batyuk:
Generalized Logical Neural Functions Over The Galois Field And Their Properties. CSIT (1) 2019: 21-24 - [c16]Fedir Geche, Oksana Mulesa, Anatoliy Batyuk, Veronika Voloshchuk:
Properties of Logical Functions Implemented by One Generalized Neural Element over the Galois Field. CSIT 2019: 202-213 - [c15]Ivan Tsmots, Vasyl Teslyuk, Anatoliy Batyuk, Viktor Khavalko, Andreas Mladenow:
Information-Analytical Support to Medical Industry. IDDM 2019: 246-257 - [c14]Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk:
On the Computational Complexity of Learning Bithreshold Neural Units and Networks. ISDMCI 2019: 189-202 - 2018
- [c13]Volodymyr Verhun, Anatoliy Batyuk, Volodymyr Voityshyn:
Learning Analysis as a Tool for Predicting Student Performance. CSIT (2) 2018: 76-79 - [c12]Oksana Mulesa, Fedir Geche, Anatoliy Batyuk, Ivan Myronyuk:
Using A Systematic Approach in the Process of the Assessment Problem Analysis of the Staff Capacity Within the Health Care Institution. CSIT (1) 2018: 177-180 - [c11]Anatoliy Batyuk, Volodymyr Voityshyn:
Streaming Process Discovery for Lambda Architecture-Based Process Monitoring Platform. CSIT (1) 2018: 298-301 - [c10]Anatoliy Batyuk, Volodymyr Voityshyn, Volodymyr Verhun:
Software Architecture Design of the Real- Time Processes Monitoring Platform. DSMP 2018: 98-101 - [c9]Fedir Geche, Anatoliy Batyuk, Oksana Mulesa, Veronika Voloshchuk:
About Kernel Structure Construction of the Generalized Neural Functions. DSMP 2018: 151-156 - [c8]Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk:
Finite Generalization of the Offline Spectral Learning. DSMP 2018: 356-360 - 2017
- [c7]Oksana Mulesa, Fedir Geche, Veronika Voloshchuk, Viktor Buchok, Anatoliy Batyuk:
Information technology for time series forecasting with considering fuzzy expert evaluations. CSIT (1) 2017: 105-108 - 2016
- [c6]Fedir E. Geche, Anatolii Ye. Batyuk, Viktor Yu. Buchok:
Invariant operations on discrete neural functions over Galois field. DSMP 2016: 112-116 - [c5]Anatoliy Batyuk, Volodymyr Voityshyn:
Apache storm based on topology for real-time processing of streaming data from social networks. DSMP 2016: 345-349 - 2015
- [c4]Vladyslav Kotsovsky, Fedir Geche, Anatoliy Batyuk:
Artificial complex neurons with half-plane-like and angle-like activation function. CSIT 2015: 57-59 - [c3]Oksana Mulesa, Fedir Geche, Anatoliy Batyuk:
Information technology for determining structure of social group based on fuzzy c-means. CSIT 2015: 60-62 - [c2]Fedir Geche, Vladyslav Kotsovsky, Anatoliy Batyuk:
Synthesis of the integer neural elements. CSIT 2015: 63-66 - [c1]Fedir Geche, Vladyslav Kotsovsky, Anatoliy Batyuk, Sandra Geche, Mykhaylo Vashkeba:
Synthesis of Time Series Forecasting Scheme Based on Forecasting Models System. ICTERI 2015: 121-136
Coauthor Index
aka: Fedir E. Geche
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