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3rd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT&DS’2021)


The Workshop proceedings from 2021 will be possible to download 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 will be possible to download 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 will be possible to download HERE.