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Tatiana Neskorodieva
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2020 – today
- 2024
- [c10]Eugene Fedorov, Olga Nechyporenko, Yaroslav Korpan, Tetiana Neskorodieva:
Multi-Agent Reinforcement Learning Methods with Dynamic Parameters for Logistic Tasks. CMIS 2024: 36-47 - [c9]Oleksii Smirnov, Eugene Fedorov, Anastasiia Neskorodieva, Tetiana Neskorodieva:
Intellectual Classification method of Gymnastic Elements Based on Combinations of Descriptive and Generative Approache. COLINS (1) 2024: 11-23 - 2023
- [c8]Eugene Fedorov, Olga Nechyporenko, Tetiana Neskorodieva:
Method for Creating a Computer Agent Based on the Jordan-Elman Neural Network for Supply Chains. IntelITSIS 2023: 34-47 - 2021
- [c7]Tatiana Neskorodieva, Eugene Fedorov, Pavlo Rymar, Oleksii Smirnov:
Neural network modeling method of transformations data of audit production with returnable waste. CITRisk 2021: 176-191 - [c6]Tetiana Neskorodieva, Eugene Fedorov, Oleksii Smirnov, Kostiantyn Rudakov, Anastasiia Neskorodieva:
Method Detection Audit Data Anomalies on Basis Restricted Cauchy Machine. CPITS II (1) 2021: 1-12 - [c5]Tatiana Neskorodieva, Eugene Fedorov:
Method for Automatic Processing of Audit Content Based on Bidirectional Neural Network Mapping. IntelITSIS 2021: 178-189 - 2020
- [c4]Tatiana Neskorodieva, Eugene Fedorov, Ivan Izonin:
Forecast Method for Audit Data Analysis by Modified Liquid State Machine. IntelITSIS 2020: 25-35 - [c3]Tatiana Neskorodieva, Eugene Fedorov:
Automatic Analysis Method of Audit Data Based on Neural Network Mapping. IT&I 2020: 60-70 - [c2]Peter Nikolyuk, Tatiana Neskorodieva, Eugene Fedorov, Esta Chioma:
Intellectual Algorithm Implementation for Megacity Traffic Management. IT&I Workshops 2020: 400-408 - [c1]Tatiana Neskorodieva, Eugene Fedorov:
Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast. MoMLeT+DS 2020: 145-158
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last updated on 2024-06-11 21:43 CEST by the dblp team
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