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Dmytro Dosyn

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2020 – today

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2024
[c26]
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Dmytro Dosyn, Taras Batiuk:
A Realization of Visual Biometric Validation to Enhance Guarded and Efficient Authorization for Intellectual Systems. COLINS (2) 2024: 247-268
[c25]
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Dmytro Dosyn, Oleksiy Oletsky:
An approach to modeling elections in bipartisan democracies on the base of the "state-probability of action" model. MoDaST 2024: 74-85
[c24]
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Dmytro Dosyn, Oleh Karyy, Ihor Novakivskyi, Maryana Gvozd, Yaroslav Kis, Nataliia Kara:
Application of the analytical hierarchy process to evaluate hype AI technologies. MoDaST 2024: 383-395
2023
[c23]
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Oksana Oborska, Mykhailo Teliatynskyi, Dmytro Dosyn, Vasyl Lytvyn, Svitlana Kostenko:
An Intelligent System Based on Ontologies for Determining the Similarity of User Preferences. COLINS (3) 2023: 283-292
[c22]
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Oleksiy Oletsky, Oleksandr Tryhub, Ivan Franchuk, Dmytro Dosyn:
Some Ways of Enhancing Recommendations Aimed at Improving Positions of Alternatives on the Base of AHP. IT&I 2023: 439-446
2022
[c21]
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Oleksiy Oletsky, Dmytro Dosyn:
Some Ways of Counteracting Possible Manipulations Within the AHP on The Base of Weighted Linear Equations. IT&I 2022: 185-194
[c20]
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Michael Emmerich, Yulian Kuryliak, Dmytro Dosyn:
Simulation of the Effects of Targeted Immunization on the Peak Number of Infections in Complex Networks. MoMLeT+DS 2022: 1-13
[c19]
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Dmytro Dosyn, Yousef Ibrahim Daradkeh, Vira Kovalevych, Mykhailo Luchkevych, Yaroslav Kis:
Domain Ontology Learning using Link Grammar Parser and WordNet. MoMLeT+DS 2022: 14-36
[i1]
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  - journals/corr/abs-2202-13325
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Yulian Kuryliak, Michael Emmerich, Dmytro Dosyn:
Efficient Stochastic Simulation of Network Topology Effects on the Peak Number of Infections in Epidemic Outbreaks. CoRR abs/2202.13325 (2022)
2021
[c18]
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Yulian Kuryliak, Michael Emmerich, Dmytro Dosyn:
On the Effect of Complex Network Topology in Managing Epidemic Outbreaks. MoMLeT+DS 2021: 1-15
2020
[c17]
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Roksolana-Yustyna Perkhach, Daria Kysil, Dmytro Dosyn, Iryna Zavuschak, Yaroslav P. Kis, Mariya Hrendus, Andrii Vasyliuk, Maria Sadova, Mykola Prodanyuk:
Method of Structural Semantic Analysis of Dental Terms in the Instructions for Medical Preparations. COLINS 2020: 662-669
[c16]
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Vasyl Lytvyn, Dmytro Dosyn, Victoria Vysotska, Andriy Demchuk, Lyubomyr I. Demkiv, Iryna Lytvyn:
Intellectual Agent Construction Method Based on the Subject Field Ontology. CSIT (1) 2020: 40-46
[c15]
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Vasyl Lytvyn, Roman Vovnyanka, Oksana Oborska, Dmytro Dosyn, Victoria Vysotska, Valentyna Panasyuk:
Intelligent Agent Behavior Simulation Based on Reinforcement Learning. CSIT (1) 2020: 285-290
[c14]
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Vasyl Lytvyn, Dmytro Dosyn, Victoria Vysotska, Andrii Hryhorovych:
Method of Ontology Use in OODA. DSMP 2020: 409-413
[c13]
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Diana Koshtura, Myroslava Bublyk, Yurii Matseliukh, Dmytro Dosyn, Liliya Chyrun, Olga Lozynska, Ihor Karpov, Ivan Peleshchak, Mariya Maslak, Oleg Sachenko:
Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning. MoMLeT+DS 2020: 172-183

2010 – 2019

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2019
[c12]
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Lyubomyr Chyrun, Aleksandr Gozhyj, Iryna Yevseyeva, Dmytro Dosyn, Valentin Tyhonov, Maryana Zakharchuk:
Web Content Monitoring System Development. COLINS 2019: 126-142
[c11]
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Rostyslav Yurynets, Zoryna Yurynets, Dmytro Dosyn, Yaroslav Kis:
Risk Assessment Technology of Crediting with the Use of Logistic Regression Model. COLINS 2019: 153-162
[c10]
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Artem Vysotsky, Nataliya Antonyuk, Anatolii Vysotskyi, Vasyl Lytvyn, Victoria Vysotska, Dmytro Dosyn, Iryna Lyudkevych, Oleh Naum, Lyubomyr Chyrun, Olha Slyusarchuk:
Online Tourism System for Proposals Formation to User Based on Data Integration from Various Sources. CSIT (2) 2019: 92-97
[c9]
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  - conf/idaacs/ShuDLVSJ19
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Chang Shu, Dmytro Dosyn, Vasyl Lytvyn, Victoria Vysotska, Anatoly Sachenko, Su Jun:
Building of the Predicate Recognition System for the NLP Ontology Learning Module. IDAACS 2019: 802-808
[c8]
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Solomiia Albota, Andriy Peleshchyshyn, Dmytro Dosyn:
Linguistic Traces of Psychological Manipulations in Discussions of Wikipedia Talk Pages. MoMLeT 2019: 183-193
[c7]
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Olena Levchenko, Nataliia Romanyshyn, Dmytro Dosyn:
Method of Automated Identification of Metaphoric Meaning in Adjective + Noun Word Combinations (Based on the Ukrainian Language). MoMLeT 2019: 370-380
[e1]
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Michael Emmerich, Vasyl Lytvyn, Iryna Yevseyeva, Vitor Basto-Fernandes, Dmytro Dosyn, Victoria Vysotska:
Modern Machine Learning Technologies, Workshop Proceedings of the 8th International Conference on "Mathematics. Information Technologies. Education", MoMLeT&DS-2019, Shatsk, Ukraine, June 2-4, 2019. CEUR Workshop Proceedings 2386, CEUR-WS.org 2019 [contents]
2018
[j1]
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Vasyl Lytvyn, Victoria Vysotska, Dmytro Dosyn, Yevhen Burov:
Method for Ontology Content and Structure Optimization, Provided by a Weighted Conceptual Graph. Webology 15(2) (2018)
[c6]
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Vasyl Lytvyn, Dmytro Dosyn, Michael Emmerich, Iryna Yevseyeva:
Content Formation Method in the Web Systems. COLINS 2018: 42-61
[c5]
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Jun Su, Anatoliy Sachenko, Vasyl Lytvyn, Victoria Vysotska, Dmytro Dosyn:
Model of Touristic Information Resources Integration According to User Needs. CSIT (2) 2018: 113-116
[c4]
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  - conf/csit/LypakLLVBRD18
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O. Halyna Lypak, Vasyl Lytvyn, Olga Lozynska, Roman Vovnyanka, Yurii Bolyubash, Antonii Rzheuskyi, Dmytro Dosyn:
Formation of Efficient Pipeline Operation Procedures Based on Ontological Approach. CSIT 2018: 571-581
[c3]
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Vasyl Lytvyn, Victoria Vysotska, Dmytro Dosyn, Olga Lozynska, Oksana Oborska:
Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology. DSMP 2018: 145-150
2017
[c2]
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Vasyl Lytvyn, Victoria Vysotska, Dmytro Dosyn, Roman Holoshchuk, Zoriana Rybchak:
Application of sentence parsing for determining keywords in Ukrainian texts. CSIT (1) 2017: 326-331
2016
[c1]
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  - conf/inns/ChenDLS16
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Jingliang Chen, Dmytro Dosyn, Vasyl Lytvyn, Anatoliy Sachenko:
Smart Data Integration by Goal Driven Ontology Learning. INNS Conference on Big Data 2016: 283-292

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