Serge Dolgikh

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Object Recognition

Semisupervised Learning

Factor Analysis

Top Venues

Publications

Serge Dolgikh
Unsupervised semantic analysis and zero-shot learning of newsgroup topics. COLINS (4) (2024)
Sergiy Gnatiuk, Pylyp Prystavka, Serge Dolgikh, Vasyl Kondratiuk, Oleksandr Kutsenko
Sparse Generative Embeddings of Handwritten Digits. ACIT (2023)
Dmytro P. Kucherov, Tetiana Shmelova, Serge Dolgikh, Olexii Poshyvailo, Ignat Miroshnichenko, Serhii Shaptala
Consensus Protocols for Improved Survivability in Autonomous Groups of UAV. DESSERT (2023)
Dmytro P. Kucherov, Serge Dolgikh, Ignat Miroshnichenko, Olexii Poshyvailo
Protocol and Logical Models for Robustness and Survivability in Autonomous UAV Systems. DESSERT (2023)
Tetiana Shmelova, Dmytro P. Kucherov, Serge Dolgikh, Vasyl Kondratyuk, Oleksandr Kutsenko
Intelligent Control in Unmanned Autonomous Aerial Mobility Systems. IntelITSIS (2023)
Serge Dolgikh
Open Public Data and Early Factor Analysis in a Developing Public Health Event. IDDM (2023)
Oksana Mulesa, Mykola Kotsipak, Serge Dolgikh, Yurii Bilak, Tamara Radivilova, Oleksii Baranovskyi
Collaborative Human-AI Decision-Making Systems with Numerical Channels. ACIT (2022)
Serge Dolgikh
Modeling of Small Data with Unsupervised Generative Ensemble Learning. IDDM (2022)
Serge Dolgikh
Fairness and Bias in Learning Systems: a Generative Perspective (short paper). BEWARE@AI*IA (2022)
Pylyp Prystavka, Serge Dolgikh, Oleksandr Kozachuk
Terrain Image Recognition with Unsupervised Generative Representations: the Effect of Anomalies. ACIT (2022)
Serge Dolgikh
Sparse generative representations of handwritten digits. IVUS (2022)
Serge Dolgikh, Oksana Mulesa
Collaborative Human-AI Decision-Making Systems. IntSol Workshops (2021)
Pylyp Prystavka, Serge Dolgikh, Olga Cholyshkina, Oleksandr Kozachuk
Latent Representations of Terrain in Aerial Image Classification. ICTERI (2021)
Serge Dolgikh
Sparsity Constraint in Unsupervised Concept Learning. ITAT (2021)
Serge Dolgikh
Topology of Conceptual Representations in Unsupervised Generative Models. IVUS (2021)
Serge Dolgikh
Native Concept Frameworks in Unsupervised Generative Learning. ACIT (2021)
Pylyp Prystavka, Serge Dolgikh, Olga Cholyshkina, Oleksandr Kozachuk
Learned and Native Concepts in Latent Representations of Terrain Images. ICTERI (Revised Selected Papers) (2021)
Serge Dolgikh
Low-Dimensional Representations in Generative Self-Learning Models. ITAT (2020)
Pylyp Prystavka, Olha Cholyshkina, Serge Dolgikh, Denys Karpenko
Automated Object Recognition System based on Convolutional Autoencoder. ACIT (2020)
Serge Dolgikh, Oksana Mulesa
Covid-19 Epidemiological Factor Analysis: Identifying Principal Factors with Machine Learning. IT&I (2020)
Serge Dolgikh
Identifying Explosive Epidemiological Cases with Unsupervised Machine Learning. IDDM (2020)
Nabil Seddigh, Biswajit Nandy, Don Bennett, Yonglin Ren, Serge Dolgikh, Colin Zeidler, Juhandre Knoetze, Naveen Sai Muthyala
A Framework & System for Classification of Encrypted Network Traffic using Machine Learning. CNSM (2019)
Serge Dolgikh
A Robust Model for Integration of Artificial Intelligence Methods in Patient Care. IDDM (2019)
Serge Dolgikh
Spontaneous Concept Learning with Deep Autoencoder. Int. J. Comput. Intell. Syst. 12 (1) (2018)