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ORCIDNatalia Shakhovska
Nataliya Shakhovska – Natalya Shakhovska
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- affiliation: Lviv Polytechnic National University, Ukraine
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2020 – today
- 2025
[e14]Natalia Shakhovska, Jianbo Jiao, Ivan Izonin, Stéphane Chrétien:
Proceedings of the 7th International Conference on Informatics & Data-Driven Medicine, Birmingham, United Kingdom, November 14-16, 2024. CEUR Workshop Proceedings 3892, CEUR-WS.org 2025 [contents]- 2024
- [j17]Nataliya Shakhovska, Roman Kaminskyi, Bohdan Khudoba:
Experimental study and clustering of operating staff of search systems in the sense of stress resistance. Frontiers Big Data 6 (2024) - [j16]Nataliya Shakhovska
, Andrii Shebeko, Yarema Prykarpatskyy:
A Novel Explainable AI Model for Medical Data Analysis. J. Artif. Intell. Soft Comput. Res. 14(2): 121-137 (2024) - [c74]Nataliya Shakhovska, Jaime Campos:
Predictive Maintenance for Wind Turbine Bearings: An MLOps Approach with the DIAFS Machine Learning Model. SMARTINDUSTRY 2024: 1-14 - [c73]Nataliya Shakhovska, Dmytro Liaskovsky, Andy T. Augousti, Solomiia Liaskovska, Yevgen Martyn:
Design and Deployment of Data Development Toolkit in Cloud Manufacturing Environments. SMARTINDUSTRY 2024: 47-56 - [e13]Natalia Shakhovska, Michal Kovác, Ivan Izonin, Stéphane Chrétien:
Proceedings of the 6th International Conference on Informatics & Data-Driven Medicine, Bratislava, Slovakia, November 17-19, 2023. CEUR Workshop Proceedings 3609, CEUR-WS.org 2024 [contents] - [e12]Nataliya Shakhovska, Andy T. Augousti, Solomiia Liaskovska, Olga Duran:
Proceedings of the 1st International Conference on Smart Automation & Robotics for Future Industry (SMARTINDUSTRY 2024), Lviv, Ukraine, April 18-20, 2024. CEUR Workshop Proceedings 3699, CEUR-WS.org 2024 [contents] - [i9]Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis, Zehao Ye, Jelena Ninic, Nataliya Shakhovska, Nikolaos Koukouzas, Sotirios Argyroudis, Stergios Aristoteles Mitoulis:
Tiered approach for rapid damage characterisation of infrastructure enabled by remote sensing and deep learning technologies. CoRR abs/2401.17759 (2024) - 2023
- [j15]Bohdan Mytnyk, Oleksandr Tkachyk, Nataliya Shakhovska, Solomiia Fedushko, Yuriy Syerov:
Application of Artificial Intelligence for Fraudulent Banking Operations Recognition. Big Data Cogn. Comput. 7(2): 93 (2023) - [j14]Nataliya Shakhovska, Roman Kaminskyy, Bohdan Khudoba, Vladyslav Mykhailyshyn, Ihor Helzhynskyi:
A Novel Methodology Analyzing the Influence of Micro-Stresses on Human-Centric Environments. Comput. 11(11): 224 (2023) - [j13]Natalya Shakhovska, Nataliia Melnykova, Petro Pobereiko, Maryana Zakharchuk:
Investigating Methods of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search Systems. Int. J. Comput. 22(4): 455-461 (2023) - [j12]Yaroslav Matviychuk, Natalia Kryvinska, Nataliya Shakhovska, Aneta Poniszewska-Maranda:
New principles of finding and removing elements of mathematical model for reducing computational and time complexity. Int. J. Grid Util. Comput. 14(4): 400-410 (2023) - [j11]Serhii Lupenko, Roman Butsiy, Nataliya Shakhovska:
Advanced Modeling and Signal Processing Methods in Brain-Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes. Sensors 23(2): 760 (2023) - [j10]Kirtee Panwar, Akansha Singh, Sonal Kukreja, Krishna Kant Singh, Nataliya Shakhovska, Andrii Boichuk:
Encipher GAN: An End-to-End Color Image Encryption System Using a Deep Generative Model. Syst. 11(1): 36 (2023) - [c72]Nataliya Shakhovska, Bohdan Kalysh:
The ensemble of neural networks to track eye movements. CSIT 2023: 1-7 - [c71]Nataliya Shakhovska, Alex Turyk, Jürgen Sieck, Anatoly Sachenko:
The Novel Neural Network Architecture to Detect Car Damage. IDAACS 2023: 508-512 - 2022
- [j9]Nataliya Shakhovska, Pavlo Pukach:
Comparative Analysis of Backbone Networks for Deep Knee MRI Classification Models. Big Data Cogn. Comput. 6(3): 69 (2022) - [j8]Sophie Schauer, Stefano Bertocci, Federico Cioli, Jürgen Sieck, Natalya Shakhovska, Olena Vovk:
Auralization of Concert Halls for Touristic Purposes. i-com 21(1): 95-107 (2022) - [c70]Ivan Izonin, Bohdan Ilchyshyn, Roman Tkachenko, Michal Gregus, Natalya Shakhovska, Christine Strauss:
Towards Data Normalization Task for the Efficient Mining of Medical Data. ACIT 2022: 480-484 - [c69]Natalya Shakhovska, Nataliia Melnykova:
Feature Engineering and Missing Data Imputation Method of Medical Data Analysis. CMIS 2022: 48-57 - [c68]Vitaliy Yakovyna, Natalya Shakhovska:
Software failure time series prediction with RBF, GRNN, and LSTM neural networks. KES 2022: 837-847 - [e11]Natalia Shakhovska, Stéphane Chrétien, Ivan Izonin, Jaime Campos:
Proceedings of the 5th International Conference on Informatics & Data-Driven Medicine, Lyon, France, November 18 - 20, 2022. CEUR Workshop Proceedings 3302, CEUR-WS.org 2022 [contents] - 2021
- [j7]Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova, Khrystyna Lishchuk-Yakymovych:
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor. Big Data Cogn. Comput. 5(3): 37 (2021) - [j6]Roman Kaminskyy, Nataliya Shakhovska, Natalia Kryvinska, Muhammad Younas:
Dendrograms-based disclosure method for evaluating cluster analysis in the IoT domain. Comput. Ind. Eng. 158: 107402 (2021) - [j5]Nataliya Shakhovska, Ivan Izonin, Nataliia Melnykova:
The Hierarchical Classifier for COVID-19 Resistance Evaluation. Data 6(1): 6 (2021) - [j4]Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Nataliia Lotoshynska:
The Additive Input-Doubling Method Based on the SVR with Nonlinear Kernels: Small Data Approach. Symmetry 13(4): 612 (2021) - [c67]Natalia Shakhovska, Ivanna Dronyuk, Zoreslava Shpak, Myroslava Klapchuk:
An Empirical Investigation of Pandemic Impact on IT Students' Educational Schedule. ANTICOVID 2021: 35-40 - [c66]Nataliya Shakhovska, Andrii Natiahlyi:
The System for Eliminating Blurring of Text Images Using Convolutional Neural Networks. CSIT (1) 2021: 93-96 - [c65]Natalya Shakhovska, Vitaliy Yakovyna:
Feature Selection and Software Defect Prediction by Different Ensemble Classifiers. DEXA (1) 2021: 307-313 - [c64]Iryna Moiseenko, Nataliya Shakhovska, Ivanna Dronyuk, Olesia Datsko:
Social and Economics Aspects of The Pandemic Influence in Ukraine. EUSPN/ICTH 2021: 670-675 - [c63]Nazar Mamchur, Nataliya Shakhovska, Michal Gregus ml.:
Person Fall Detection System Based on Video Stream Analysis. EUSPN/ICTH 2021: 676-681 - [c62]Nataliya Shakhovska, Solomiia Fedushko:
Data analysis of music preferences of web users based on social and demographic factors. EUSPN/ICTH 2021: 730-735 - [c61]Dmytro Kozii, Nataliya Shakhovska:
Visual Question and Answering System for NLP and Computer Vision Problems. IDAACS 2021: 94-99 - [c60]Natalya Shakhovska, Ihor Darmoriz, Yaroslav Vyklyuk, Yurii Kryvenchuk, Pavlo Pukach:
Visualization of the Epidemics Forecasting Results. IDDM 2021: 283-292 - [c59]Oleh Basystiuk, Natalya Shakhovska, Violetta Bilynska, Oleksij Syvokon, Oleksii Shamuratov, Volodymyr Kuchkovskiy:
The Developing of the System for Automatic Audio to Text Conversion. IT&AS 2021: 1-8 - [c58]Anna Shilinh, Pavlo Zhezhnych, Natalya Shakhovska:
Algorithm for Forming the Offer of Educational Services by Higher Education Institutions to Improve the Technology of Processing Educational Content by Potential Entrants. IT&AS 2021: 110-119 - [c57]Vladyslav Tsap, Nataliya Shakhovska, Ivan Sokolovskyi:
The Developing of the System for Automatic Audio to Text Conversion. MoMLeT+DS 2021: 75-84 - [c56]Natalya Shakhovska, Oleksii Shamuratov:
Method for Clusters and Classifying the Objects in Images. ProfIT AI 2021: 76-82 - [e10]Natalya Shakhovska, Mykola O. Medykovskyy:
Advances in Intelligent Systems and Computing V - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2020, September 23-26, 2020, Zbarazh, Ukraine. Advances in Intelligent Systems and Computing 1293, Springer 2021, ISBN 978-3-030-63269-4 [contents] - [e9]Nataliya Shakhovska, Addisson Salazar, Ivan Izonin, Jaime Campos:
Proceedings of the 4th International Conference on Informatics & Data-Driven Medicine, Valencia, Spain, November 19 - 21, 2021. CEUR Workshop Proceedings 3038, CEUR-WS.org 2021 [contents] - [e8]Natalya Shakhovska, Solomiia Fedushko, Natalia Kryvinska, Michal Gregus:
Proceedings of the Symposium on Information Technologies & Applied Sciences (IT&AS 2021), Bratislava, Slovak Republic, March 5, 2021. CEUR Workshop Proceedings 2824, CEUR-WS.org 2021 [contents] - [i8]Solomiia Fedushko, Yuriy Syerov, Oleksandr Skybinskyi, Nataliya Shakhovska, Zoryana Kunch:
Efficiency of Using Utility for Usernames Verification in Online Community Management. CoRR abs/2101.01718 (2021) - 2020
- [j3]Chunzhi Wang, Nataliya Shakhovska, Anatoliy Sachenko, Myroslav Komar:
A New Approach for Missing Data Imputation in Big Data Interface. Inf. Technol. Control. 49(4): 541-555 (2020) - [c55]Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Mariana Zakharchuk, Mykola Logoyda, Vitalii Mahlovanyi:
The Applying Processing Intelligence Methods for Classify Persons in Identify Personalized Medication Decisions. ACIT 2020: 422-425 - [c54]Alexander Morushko, Natalia Khymytsia, Nataliya Shakhovska:
Determining the Psychological Portrait of Members of Web Communities through Socionic Analysis. COAPSN 2020: 112-124 - [c53]Roman Hasko, Nataliya Shakhovska, Olena Vovk, Roman Holoshchuk:
A Mixed Fog/Edge/AIoT/Robotics Education Approach based on Tripled Learning. COAPSN 2020: 227-236 - [c52]Nataliya Shakhovska, Khrystyna Shakhovska:
The Method of Text Tonality Classification. CSIT (1) 2020: 19-23 - [c51]Nataliya Shakhovska, Nataliia Melnykova, Volodymyr Melnykov, Vitaly Mahlovanyj, Nataliya Hrabovska:
The Novel Approach to Modeling the Spread of Viral Infections. CSIT 2020: 240-250 - [c50]Nataliya Chukhray, Nataliya Shakhovska, Oleksandra Mrykhina:
Method for Estimation of R&D Products Cost Taking into Account Their Technological Readiness. CSIT 2020: 907-922 - [c49]Natalya Shakhovska, Vitaliy Yakovyna, Natalia Kryvinska:
An Improved Software Defect Prediction Algorithm Using Self-organizing Maps Combined with Hierarchical Clustering and Data Preprocessing. DEXA (1) 2020: 414-424 - [c48]Yaroslav Matviychuk, Nataliya Shakhovska:
Mathematical Model Reduction Principle Development. IDDM 2020: 186-196 - [c47]Vitaliy Yakovyna, Natalya Shakhovska, Khrystyna Shakhovska, Jaime Campos:
Recommendation Rules Mining for Reducing the Spread of COVID-19 Cases. IDDM 2020: 219-229 - [c46]Askold Kucher, Oksana Boyko, Kateryna Ilkanych, Andriy Fechana, Natalya Shakhovska:
Retrospective Analysis by Multifactor Regression in the Evaluation of the Results of Fine-needle Aspiration Biopsy of Thyroid Nodules. IDDM 2020: 443-447 - [c45]Nataliia Melnykova, Natalya Shakhovska, Volodymyr Melnykov, Mykola Logoyda, Yulia Peleshchak:
The Problem of Analysing the Relationships between Individual Characteristics of Individuals with COVID'19. IDDM 2020: 473-482 - [e7]Natalya Shakhovska, Mykola O. Medykovskyy:
Advances in Intelligent Systems and Computing IV - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2019, September 17-20, 2019, Lviv, Ukraine. Advances in Intelligent Systems and Computing 1080, Springer 2020, ISBN 978-3-030-33694-3 [contents] - [e6]Nataliya Shakhovska, Jaime Campos, Nataliia Melnykova, Ivan Izonin:
Proceedings of the 3rd International Conference on Informatics & Data-Driven Medicine, Växjö, Sweden, November 19 - 21, 2020. CEUR Workshop Proceedings 2753, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c44]Ivan Sokolovskyy, Natalia Shakhovska:
Numerical Modeling of Thermophysical Processes in the Media with Fractal Structure. ACIT 2019: 60-63 - [c43]Roman Kaminskyi, Lesia I. Mochurad, Nataliya Shakhovska, Nataliya Melnykova:
Calculation of the Exact Value of the Fractal Dimension in the Time Series for the Box-Counting Method. ACIT 2019: 248-251 - [c42]Solomiia Fedushko, Yuriy Syerov, Oleksandr Skybinskyi, Nataliya Shakhovska, Zoryana Kunch:
Efficiency of Using Utility for Username Verification in Online Community Management. CMiGIN 2019: 265-275 - [c41]Nataliya Shakhovska, Nataliya Chukhray, Roman Hasko, Natalia Lotoshynska, Marta Voronovska:
The Method for Determining the Readiness Level of Technologies for the Safety Transfer. CMiGIN 2019: 381-391 - [c40]Nataliya Shakhovska, Dmytro Kozii, Pavlo Mukalov:
The Simulator and Neuro-Controller for Small Satellite Attitude Development. CMIS 2019: 110-120 - [c39]Natalya Shakhovska, Oksana Peleshchyshyn, Zhanna Myna, Tetiana Bilushchak:
Online Community Information Model for Use in Marketing Activities. COAPSN 2019: 263-272 - [c38]Pavlo Mukalov, Oleksandr Zelinskyi, Roman Levkovych, Petro Tarnavskyi, Anastasiia Pylyp, Nataliya Shakhovska:
Development of System for Auto-Tagging Articles, Based on Neural Network. COLINS 2019: 106-115 - [c37]Oleksii Shamuratov, Yuriy Ryshkovets, Nataliya Shakhovska, Ihor Kohút:
The methods for Contour Analysis of Images. CSIT (2) 2019: 41-45 - [c36]Roman Kaminskyi, Nataliya Shakhovska, Andrew Khudy:
Calculating the constant in the Hurst index for the time series. CSIT (2) 2019: 50-54 - [c35]Volodymyr Kuchkovskiy, Natalya Shakhovska:
Information technology of Blockchain: database, smart contracts, architecture. CSIT (2) 2019: 55-59 - [c34]Nataliya Chukhray, Nataliya Shakhovska, Oleksandra Mrykhina, Myroslava Bublyk, Lidiya Lisovska:
Consumer aspects in assessing the suitability of technologies for the transfer. CSIT (3) 2019: 142-147 - [c33]Nataliya Chukhray, Nataliya Shakhovska, Oleksandra Mrykhina, Myroslava Bublyk, Lidiya Lisovska:
Methodical Approach to Assessing the Readiness Level of Technologies for the Transfer. CSIT 2019: 259-282 - [c32]Vasyl Lytvyn, Victoria Vysotska, Nataliya Shakhovska, Vladyslav Mykhailyshyn, Mykola Medykovskyy, Ivan Peleshchak, Vitor Basto-Fernandes, Roman Peleshchak, Serhii Shcherbak:
A Smart Home System Development. CSIT 2019: 804-830 - [c31]Ivan Yashanov, Marlen Asanov, Nataliya Shakhovska:
Method of Direct Diagnostic Problem Solution in UAV Operation System. CybHyg 2019: 390-401 - [c30]Natalia Shakhovska, Solomia Fedushko, Michal Gregus, Nataliia Melnykova, Iryna Shvorob, Yuriy Syerov:
Big Data analysis in development of personalized medical system. EUSPN/ICTH 2019: 229-234 - [c29]Nataliya Shakhovska, Nataliya Boyko, Yevgen Zasoba, Eleonora Benova:
Big Data Processing Technologies in Distributed Information Systems. EUSPN/ICTH 2019: 561-566 - [c28]Nataliya Shakhovska, Ruslan Shalaev, Alex Zaslavsky, Artur Kadyrov, Vitaliy Shevchuk, Sofiia Heletiy:
Method of Development the Behavior pattern. IDAACS 2019: 1082-1089 - [c27]Ivan Sokolovskyy, Natalia Shakhovska:
Statistical Modeling of Diffusion Processes with a Fractal Structure. IDDM 2019: 145-154 - [c26]Nataliya Shakhovska, Solomiia Fedushko, Eugen Zasoba, Vladyslav Mykhaikyshyn, Mykhailo Osypov, Olena Vovk:
Architecture of the Platform for Big Data Preprocessing and Processing in Medical Sector. IREHI 2019: 98-110 - [c25]Nataliya Shakhovska:
Association rules in Medical Domain. IREHI 2019: 188 - [c24]Nataliya Boyko, Andriy Bronetskyi, Nataliya Shakhovska:
Application of Artificial Intelligence Algorithms for Image Processing. MoMLeT 2019: 194-211 - [c23]Nataliya Shakhovska, Oleh Basystiuk, Khrystyna Shakhovska:
Development of the Speech-to-Text Chatbot Interface Based on Google API. MoMLeT 2019: 212-221 - [e5]David Luengo, Sergey Subbotin, Peter Arras, Yevgeniy V. Bodyanskiy, Karsten Henke, Ivan Izonin, Vitaly G. Levashenko, Volodymyr Lytvynenko, Anzhelika Parkhomenko, Andreas Pester, Natalya Shakhovska, Alexei Sharpanskykh, Galyna Tabunshchyk, Carsten Wolff, Heinz-Dietrich Wuttke, Elena Zaitseva:
Proceedings of the Second International Workshop on Computer Modeling and Intelligent Systems (CMIS-2019), Zaporizhzhia, Ukraine, April 15-19, 2019. CEUR Workshop Proceedings 2353, CEUR-WS.org 2019 [contents] - [e4]Natalia Shakhovska, Mykola O. Medykovskyy:
Advances in Intelligent Systems and Computing III - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2018, September 11-14, Lviv, Ukraine. Advances in Intelligent Systems and Computing 871, Springer 2019, ISBN 978-3-030-01068-3 [contents] - [e3]Nataliya Shakhovska, Ivan Izonin, Sergio Montenegro, Yannick Estève, Jaime Campos, Natalia Kryvinska:
Proceedings of the 2nd International Workshop on Informatics & Data-Driven Medicine (IDDM 2019), Lviv, Ukraine, November 11-13, 2019. CEUR Workshop Proceedings 2488, CEUR-WS.org 2019 [contents] - [i7]Nataliya Shakhovska, Uyrii Bolubash, Oleh Veres:
Big Data Model "Entity and Features". CoRR abs/1905.01306 (2019) - [i6]Nataliya Shakhovska, Yurii Bolubash:
Dataspace architecture and manage its components class projection. CoRR abs/1905.01307 (2019) - [i5]Nataliya Shakhovska, Taras Cherna:
The method of automatic summarization from different sources. CoRR abs/1905.02623 (2019) - [i4]Nataliya Shakhovska, Oleh Veres, Mariia Hirnyak:
Generalized formal model of big data. CoRR abs/1905.03061 (2019) - [i3]Darii Kordiyak, Nataliya Shakhovska:
Analytical review of medical mobile diagnostic systems. CoRR abs/1905.03212 (2019) - [i2]Glib Shchur, Nataliya Shakhovska:
Smartphone app with usage of AR technologies - SolAR System. CoRR abs/1905.06762 (2019) - 2018
- [j2]Nataliya Shakhovska, Roman Kaminskyy, Eugen Zasoba, Mykola Tsiutsiura:
Association Rules Mining in Big Data. Int. J. Comput. 17: 25-32 (2018) - [c22]Nataliya Shakhovska, Iryna Zhelizniak:
The Associative Rules Constructing on the Example of Patient's Physical Characteristics. ACIT 2018: 157-160 - [c21]Oleh Kosar, Nataliya Shakhovska:
An Overview of Denoising Methods for Different Types of Noises Present on Graphic Images. CSIT 2018: 38-47 - [c20]Nataliya Boyko, Nataliya Shakhovska:
Prospects for Using Cloud Data Warehouses in Information Systems. CSIT (2) 2018: 136-139 - [c19]Petro Pukach, Volodymyr Il'kiv, Zinovii Nytrebych, Myroslava Vovk, Natalia Shakhovska, Pavlo Pukach:
Galerkin Method and Qualitative Approach for the Investigation and Numerical Analysis of Some Dissipative Nonlinear Physical Systems. CSIT (1) 2018: 143-146 - [c18]Nataliya Shakhovska, Oleksii Duda, Oleksandr Matsiuk, Yuriy Bolyubash, Roman Vovnyanka:
Analysis of the Activity of Territorial Communities Using Information Technology of Big Data Based on the Entity-Characteristic Mode. CSIT 2018: 155-170 - [c17]Nataliya Shakhovska, Nataliya Boyko, Petro Pukach:
The Information Model of Cloud Data Warehouses. CSIT 2018: 182-191 - [c16]Oleh Kosar, Nataliya Shakhovska:
The Methods for Evaluating the Quality of Images with Different Types of Noise. CSIT (1) 2018: 326-329 - [c15]Yurii Kryvenchuk, Nataliya Shakhovska, Nataliia Melnykova, Roman Holoshchuk:
Smart Integrated Robotics System for SMEs Controlled by Internet of Things Based on Dynamic Manufacturing Processes. CSIT 2018: 535-549 - [c14]Nataliya Boyko, Oleg Basystiuk, Nataliya Shakhovska:
Performance Evaluation and Comparison of Software for Face Recognition, Based on Dlib and Opencv Library. DSMP 2018: 478-482 - [c13]Nataliya Shakhovska, Roman Holoshchuk, Solomia Fedushko, Oleh Kosar, Roman Danel, Michal Repka:
The Sequential Associative Rules Analysis of Patient's Physical Characteristics. IDDM 2018: 82-92 - [c12]Yurii Kryvenchuk, Nataliya Shakhovska, Iryna Shvorob, Sergio Montenegro, Maksym Nechepurenko:
The Smart House Based System for the Collection and Analysis of Medical Data. IDDM 2018: 205-214 - [c11]Solomiia Fedushko, Natalia Shakhovska, Yuriy Syerov:
Verifying the Medical Specialty from User Profile of Online Community for Health-Related Advices. IDDM 2018: 301-310 - [c10]Natalya Shakhovska:
Antibids - Antibiotics Big Data System. IREHI 2018 - [c9]Nataliya Boyko, Tetyana Sviridova, Nataliya Shakhovska:
Use of machine learning in the forecast of clinical consequences of cancer diseases. MECO 2018: 1-6 - [e2]Nataliya Shakhovska, Sergio Montenegro, Yannick Estève, Sergey Subbotin, Natalia Kryvinska, Ivan Izonin:
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), Lviv, Ukraine, November 28-30, 2018. CEUR Workshop Proceedings 2255, CEUR-WS.org 2018 [contents] - [i1]Solomiia Fedushko, Natalia Shakhovska, Yuriy Syerov:
Verifying the Medical Specialty from User Profile of Online Community for Health-Related Advices. CoRR abs/1812.06354 (2018) - 2017
- [c8]Natalya Shakhovska:
The method of big data processing. CSIT (1) 2017: 122-126 - [c7]Nataliya Shakhovska, Victoria Vysotska, Lyubomyr Chyrun:
Intelligent Systems Design of Distance Learning Realization for Modern Youth Promotion and Involvement in Independent Scientific Researches. CSIT 2017: 175-198 - [c6]Natalya Shakhovska, Lilia Nych, Roman Kaminskyi:
The Identification of the Operator's Systems Images Using the Method of the Phase Portrait. CSIT 2017: 241-253 - [c5]Maksym Arzubov, Natalya Shakhovska, Piotr Lipinski:
Analyzing ways of building user profile based on web surf history. CSIT (1) 2017: 377-380 - [e1]Natalia Shakhovska:
Advances in Intelligent Systems and Computing - Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine. Advances in Intelligent Systems and Computing 512, Springer 2017, ISBN 978-3-319-45990-5 [contents] - 2016
- [c4]Natalya Shakhovska, Oleksii Shamuratov:
The structure of information systems for environmental monitoring. CSIT 2016: 102-107 - [c3]Nataliya Shakhovska, Victoria Vysotska, Lyubomyr Chyrun:
Features of e-learning realization using virtual research laboratory. CSIT 2016: 143-148 - 2015
- [c2]Natalya Shakhovska, Iryna Shvorob:
The method for detecting plagiarism in a collection of documents. CSIT 2015: 142-145 - [c1]Natalya Shakhovska, Oleh Veres, Yurii Bolubash, Liliana Bychkovska-Lipinska:
Data space architecture for Big Data managering. CSIT 2015: 184-187 - 2013
- [j1]Yuriy Bobalo, Bohdan A. Mandziy, Petro Stakhiv, Natalya Shakhovska:
Algorithmic and Software Implementation of E-Textbook "Fundamentals of Theory of Electronic Circuits". Int. J. Comput. 12(2): 177-187 (2013)
Coauthor Index
Nataliia Melnykova
aka: Nataliya Melnykova
aka: Nataliya Melnykova
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