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MoMLeT&DS-2022 PROGRAMME

Central-European time (GMT+1)

25.11.2022 (Friday) – 1st day of MoMLeT&DS-2022 work 

up to 10:00 – registration of participants: https://us05web.zoom.us/j/81711736071?pwd=YkQ5aFErZFkydEtoWGNDNXo3T29yZz09
10:00 – 10:20 – at the opening of the conference
10:20 – 12:45 – plenary session, keynote presentations:
10:20 – 11:05 – Cybersecurity – Iryna Yevseyeva, Associate Professor in Computer Science and Cyber Security, De Montfort University, Leicester, UK
11:10 – 11:55 – Modern computer vision for a better tomorrow – Setiawan Hadi, Head of Computer Science Department FMIPA Universitas, Bandung, Indonesia
12:00 – 12:45 – Hybrid approaches for SVMs and SVRs Model Selection – Dana Simian, Professor, Lucian Blaga Univ. of Sibiu, Romania
12:45 – 13:00 – coffee break
13:00 – 14:30 – session talks
13:00 – 13:15 – Michael Emmerich, Yulian Kuryliak and Dmytro Dosyn. Simulation of the Effects of Targeted Immunization on the Peak Number of Infections in Complex Networks
13:15 – 13:30 – Dmytro Dosyn, Vira Kovalevych, Mykhailo Luchkevych, Yaroslav Kis and Yousef Daradkeh. Domain Ontology Learning using Link Grammar Parser and WordNet
13:30 – 13:45 – Oleksandr Tymchenko, Bohdana Havrysh, Orest Khamula and Bohdan Kovalskyi. VAD in Speech Coder Based on Wavelet Transform
13:45 – 14:00 – Anait Karapetyan, Eugene Fedorov and Oleksii Smirnov. Creating Neural Network and Single Solution Human-Based Metaheuristic Methods of Solving the Traveling Salesman Problem
14:00 – 14:15 – Vladyslav Shlianin, Yuri Gordienko and Sergii Stirenko. Link Prediction Method in Graph Objects by Auto Encoding in Graph Neural Networks
14:15 – 14:30 – Oleh Romanovskyi, Ievgen Iosifov, Olena Iosifova, Volodymyr Sokolov, Pavlo Skladannyi and Igor Sukaylo. Prototyping Methodology of End-to-End Speech Analytics Software
14:30 – 15:30 – lunch break
15:30 – 18:30 – session talks
15:30 –15:45 – Sergey Orekhov. Advanced Method of Synthesis of Semantic Kernel of E-content
15:45 – 16:00 – Oleksandr Bauzha, Taras Chaikivskyi, Valentyna Maliarenko, Bohdan Sus and Sergiy Zagorodnyuk. Optimizing the Process of Soybean Oil Epoxidation by the means of Artificial Intelligence
16:00 – 16:15 – Kostiantyn Kostiukevych, Yuri Gordienko, Nikita Gordienko, Oleksandr Rokovyi and Sergii Stirenko. Hierarchy of Hybrid Deep Neural Networks for Physical Action Classification by Brain-Computer Interface
16:15 – 16:30 – Roman Dzhala, Volodymyr Yuzevych, Roman Mysiuk, Vasyl Brych, Ruslan Skrynkovskyy, Vitalii Lozovan and Yuriy Tyrkalo. Simulation of Corrosion Fracture of Nano-Concrete at the Interface with Reinforcement Taking into Account Temperature Change
16:30 – 16:45 – Dmitriy Klyushin. Nonparametric method for estimation of forecasting models using small samples
16:45 –17:00 – Sergey Tyshko, Oleksandr Lavrut, Victoria Vysotska, Oksana Markiv, Oleh Zabula, Yurii Chernichenko and Tetiana Lavrut. Compensatory Method for Measuring Phase Shift Using Signals Bisemiperiodic Conversion in Diagnostic Intelligence Systems
17:00 – 17:15 – coffee break
17:15 – 17:30 – Serhii Lienkov, Sergey Shvorov, Oleksandr Sieliukov, Igor Tolok, Nataliia Lytvynenko and Taras Davydenko. Deep Learning of Neuron Networks Using Genetic Algorithms
17:30 – 17:45 – Vadym Slyusar, Ihor Sliusar, Nataliia Bihun and Volodymyr Piliuhin. Segmentation of analog meter readings using neural networks
17:45 – 18:00 – Nataliya Boyko, Yaroslav Rohan and Svitlana Honchar. Model of Estimation of Distribution Density for Large Statistical Datasets 
18:00 – 18:15 – Oleksiy Oletsky and Ivan Peleshchak. On Applying the Structured Model “State-Probability of Action” to Multi-Criteria Decision Making and Contradictory Reasoning
18:15 – 18:30 – Andrii Kopp, Dmytro Orlovskyi and Sergey Orekhov. Towards Understandability Evaluation of Business Process Models using Activity Textual Analysis
18:30 – 19:00 – round table discussion.

26.11.2022 (Saturday) – 2nd day of MoMLeT&DS-2022 work

10:00 – 13:00 – session talks (https://us05web.zoom.us/j/81711736071?pwd=YkQ5aFErZFkydEtoWGNDNXo3T29yZz09)
10:00 – 10:15 – Taras Basyuk, Andrii Vasyliuk, Vasyl Lytvyn and Olha Vlasenko. Features of designing and implementing an information system for studying and determining the level of foreign language
10:15 – 10:30 –  Taras Basyuk, Andrii Vasyliuk and Lyubomyr Demkiv. Peculiarities of organizing the workspace using machine learning methods
10:30 – 10:45 –  Vasyl Teslyuk, Bohdan Borkivskyi and Hamza Ali Alshawabkeh. Models and means of object recognition using artificial neural networks
10:45 – 11:00 –  Rostyslav Yurynets, Zoryna Yurynets, Marianna Kokhan, Mariola Grzebyk, Nataliia Kunanets and Maryna Shevchenko. Forecasting and Evaluation of the Social and Economic, Investment and Innovation Policy of the State: Neural Network Modeling
11:00 – 11:15 – Myroslava Bublyk, Piotr Grudowski, Vadim Shandurskyi, Taras Machita and Oleksandr Pavlyuk. Analyzing By-Products Interaction as an Industry Resource of Circular Economy in Ukraine and the World
11:15 – 11:30 – Myroslava Bublyk, Vadym Humeniuk, Taras Mikhalchuk, Ayhan Surek and Oleksandr Filizhanko. Analyzing the number of articles on disease populations at critical levels of pollution environment emissions, discharges, waste
11:30 – 11:45 – coffee break
11:45 – 12:00 – Oleh Veres, Pavlo Ilchuk, Olha Kots, Yana Levus and Olha Vlasenko. Recommendation System for Leisure Time-Management in Quarantine Conditions
12:00 – 12:15 – Nataliia Kholodna, Victoria Vysotska and Oksana Markiv. Machine Learning Model for Paraphrases Detection Based on Text Content Pair Binary Classification
12:15 – 12:30 – Oleksandr Mediakov, Bohdan Korostynskyi, Victoria Vysotska and Oksana Markiv. Experimental and Exploratory Analysis of Programming Languages Popularity According to the PYPL Index
12:30 – 12:45 – Yurii Matseliukh, Andrii Berko, Piotr Grudowski and Lyubomyr Chyrun. Intelligent system of dynamic 2D visualization of passenger flows of public transport routes based on OpenGL
12:45 – 13:00 – Oleksiy Tverdokhlib, Denys Shavaev, Yurii Matseliukh, Aleksandr Gozhyj, Anna Maria Trzaskowska, Maksym Korobchynskyi, Lyubomyr Chyrun and Irina Kalinina. Analysis method for determining the suitability of water for human consumption
13:00 – 14:15 – Discussion panel “Future Trends in Machine Learning and AI”
14:15 – 14:30 – coffee break
14.30 – 15:00 – closing ceremony of the workshop.

 

The Workshop proceedings from 2021 are accessible HERE.

2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT&DS’2020)

Presentations from Keynote Speakers in 2020

– Oleg Mashkov Restoration of Information in On-Board Information and Controlling Complexes of Movable Objects in Emergency Situations
– Anatoliy Sachenko Estimation Method of Information System Functioning Quality Based on the Fuzzy Logic
– Volodymyr Lytvynenko Application of GMDH Method to Predict the Concentration of Organochlorine Pesticides in a Child’s Body Based on Data on Their Accumulation in the Mother’s Body
– Anatoliy Fedonuyk Selection of Effective Methods of Big Data Analytical Processing in Information Systems of Smart Cities
– Igor Puleko Qualitative Evaluation of the Process of Functionally Stable Recovery Control of the Aircraft in Emergencies with an Algorithm Based on Solving Inverse Dynamic Problems
– Iryna Lurie The Use of Inductive Methods to Identify Subtypes of Glioblastomas in Gene Clustering
– Dmytro Chumachenko Development of Intelligent Information Technology of Computer Processing of Pedagogical Tests Open Tasks Based on Machine Learning Approach
– Oleg Klymovych The Diagnostics Methods for Modern Communication Tools in the Armed Forces of Ukraine Based on Neural Network Approach
– Vasyl Teslyuk The Analysis of File Format Conversion Tools for Storing 3D Objects for the iOS Platform
– Yaroslav Vyklyuk An Information System Prototype for Monitoring and Modeling the Spread of Viral Infections
– Vasyl Lytvyn Specialized Interactive Methods for Using Data on Radar Application Models
– Olga Cherednichenko Developing the Key Attributes for Product Matching Based on the Item’s Image Tag Comparison
– Tatiana Neskorodieva Method for Automatic Analysis of Compliance of Expenses Data and the Enterprise Income by Neural Network Model of Forecast
– Mykola Odrekhivskyy The Use of Modern Information Technology in Medical and Health Institutions of Truskavets Resort
– Ryszard Pukała The Application of Weighted Decision Matrix for the Selection of Non-state Pension Provision Strategy
– Dmytro Dosyn Analysis of the Demand for Bicycle Use in a Smart City Based on Machine Learning
– Petro Kravets Neuroagent Game Model of Collective Decision Making in Conditions of Uncertainty
– Myroslava Bublyk Forecasting the Risk of Cervical Cancer in Women in the Human Capital Development Context Using Machine Learning
– Ivan Dyyak Forecasting Temperatures of a Synchronous Motor with Permanent Magnets Using Machine Learning
– Nataliya Antonyuk Analysis and Estimation of Popular Places in Online Tourism Based on Machine Learning Technology
– Rostyslav Yurynets Optimal Strategy for the Development of Insurance Business Structures in a Competitive Environment
– Olha Kots Development of the Information System for Finding the Best Route for Electric Cars
– Anatoly Bessalov Modeling of 3- and 5-Isogenies of Supersingular Edwards Curves
– Olena Iosifova Techniques Comparison for Natural Language Processing
– Dmytro Uhryn Tourist Itineraries Plan Design Based On the Behavior of Bee Colonies
– Taras Teslyuk A Mobile Museum Guide Application
– Karina Melnyk The Technology of Short-Term Planning for Resolving the Problems with High Level of Uncertainty on an Enterprise
– Vasyl Sheketa Formal Aspects of Case-Based Decisions Making Support by Wells Drilling
– Mykola Pasyeka The use of Dyadic and Advisory Opinions in the Model of Group Dynamics of the Decision-Making Process for Software System Developers
– Аnatoliy Тryhuba Forecasting the Risk of the Resource Demand for Dairy Farms Basing on Machine Learning
– Nadia Pasieka Method for Finding a Plan for Solving Mathematical Problems as Component of Information Technology
– Ivan Kit Improved Canny’s Method for Laser Scribes Contour Selection in Solar Cells

The Workshop proceedings from 2020 are accessible HERE.

1st International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT&DS’2019)

Presentations from Keynote Speakers in 2019

– Volodymyr Lytvynenko Bayesian Networks’ Development Based on Noisy-MAX Nodes for Modeling Investment Processes in Transport
– Serhii Leoshchenko Parallel Method of Neural Network Synthesis Based on a Modified Genetic Algorithm Application
– Yuri Romanenkov Information and Technological Support for the Processes of Prognostic Modeling of Regional Labor Markets
– Lyubomyr Chyrun Heterogeneous Data with Agreed Content Aggregation System Development
– Roman Peleshchak An Application Development for Recognizing of View in Order to Control the Mouse Pointer
– Sergii Harkusha Optimization Model of Structurally Functional Self-Organization of Multi-Radio Multi-Channel Mesh-Networks Using Hypergraphs
– Sergii Lenkov Reflex Intellectual Text Processing Systems: Natural Language Text Addressing
– Andrii Berko Knowledge-Based Big Data Cleanup Method
– Ievgen Meniailov Using the k-means method for diagnosing cancer stage using the Pandas library
– Mariia Voronenko Two Step Density-Based Object-Inductive Clustering Algorithm
– Nataliya Pankratova Strategy for the Study of Interregional Economic and Social Exchange Based on Foresight and Cognitive Modeling Methodologies
– Elena Kiseleva An Algorithm to Construct Generalized Voronoi Diagrams with Fuzzy Parameters Based on the Theory of Optimal Partitioning and Neuro-Fuzzy Technologies
– Yuri Minaev Multi-Fuzzy Sets as Aggregation Subjective and Objective Fuzziness

The Workshop proceedings from 2019 are accessible HERE.