Spontaneous Concept Learning with Deep Autoencoder. - Serge Dolgikh (Int. J. Comput. Intell. Syst., 2018)

A Framework & System for Classification of Encrypted Network Traffic using Machine Learning. - Nabil Seddigh; Biswajit Nandy; Don Bennett; Yonglin Ren; Serge Dolgikh; Colin Zeidler; Juhandre Knoetze; Naveen Sai Muthyala (CNSM, 2019)

A Robust Model for Integration of Artificial Intelligence Methods in Patient Care. - Serge Dolgikh (IDDM, 2019)

Automated Object Recognition System based on Convolutional Autoencoder. - Pylyp Prystavka; Olha Cholyshkina; Serge Dolgikh; Denys Karpenko (ACIT, 2020)

Identifying Explosive Epidemiological Cases with Unsupervised Machine Learning. - Serge Dolgikh (IDDM, 2020)

Low-Dimensional Representations in Generative Self-Learning Models. - Serge Dolgikh (ITAT, 2020)

Covid-19 Epidemiological Factor Analysis: Identifying Principal Factors with Machine Learning. - Serge Dolgikh; Oksana Mulesa (IT&I, 2020)

Native Concept Frameworks in Unsupervised Generative Learning. - Serge Dolgikh (ACIT, 2021)

Latent Representations of Terrain in Aerial Image Classification. - Pylyp Prystavka; Serge Dolgikh; Olga Cholyshkina; Oleksandr Kozachuk (ICTERI, 2021)

Learned and Native Concepts in Latent Representations of Terrain Images. - Pylyp Prystavka; Serge Dolgikh; Olga Cholyshkina; Oleksandr Kozachuk (ICTERI (Revised Selected Papers), 2021)

Collaborative Human-AI Decision-Making Systems. - Serge Dolgikh; Oksana Mulesa (IntSol Workshops, 2021)

Sparsity Constraint in Unsupervised Concept Learning. - Serge Dolgikh (ITAT, 2021)

Topology of Conceptual Representations in Unsupervised Generative Models. - Serge Dolgikh (IVUS, 2021)

Collaborative Human-AI Decision-Making Systems with Numerical Channels. - Oksana Mulesa; Mykola Kotsipak; Serge Dolgikh; Yurii Bilak; Tamara Radivilova; Oleksii Baranovskyi (ACIT, 2022)

Terrain Image Recognition with Unsupervised Generative Representations: the Effect of Anomalies. - Pylyp Prystavka; Serge Dolgikh; Oleksandr Kozachuk (ACIT, 2022)

Fairness and Bias in Learning Systems: a Generative Perspective (short paper). - Serge Dolgikh (BEWARE@AI*IA, 2022)

Modeling of Small Data with Unsupervised Generative Ensemble Learning. - Serge Dolgikh (IDDM, 2022)

Sparse generative representations of handwritten digits. - Serge Dolgikh (IVUS, 2022)

Sparse Generative Embeddings of Handwritten Digits. - Sergiy Gnatiuk; Pylyp Prystavka; Serge Dolgikh; Vasyl Kondratiuk; Oleksandr Kutsenko (ACIT, 2023)

Protocol and Logical Models for Robustness and Survivability in Autonomous UAV Systems. - Dmytro P. Kucherov; Serge Dolgikh; Ignat Miroshnichenko; Olexii Poshyvailo (DESSERT, 2023)

Consensus Protocols for Improved Survivability in Autonomous Groups of UAV. - Dmytro P. Kucherov; Tetiana Shmelova; Serge Dolgikh; Olexii Poshyvailo; Ignat Miroshnichenko; Serhii Shaptala (DESSERT, 2023)

Open Public Data and Early Factor Analysis in a Developing Public Health Event. - Serge Dolgikh (IDDM, 2023)

Intelligent Control in Unmanned Autonomous Aerial Mobility Systems. - Tetiana Shmelova; Dmytro P. Kucherov; Serge Dolgikh; Vasyl Kondratyuk; Oleksandr Kutsenko (IntelITSIS, 2023)

Navigation and Communications Protocols for Autonomous Intelligent Mobility. - Ignat Myroshnychenko; Dmytro Kucherov; Serge Dolgikh; Vasyl Kondratyuk (ACIT, 2024)

Unsupervised semantic analysis and zero-shot learning of newsgroup topics. - Serge Dolgikh (COLINS (4), 2024)

Learning With Small Data: What Can Be Inferred From Small Samples? - Serge Dolgikh; Oksana Mulesa; Volodymyr Sabadosh (IDDM, 2024)

"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence. - Serge Dolgikh (CoRR, 2024)

Self-awareness in natural and artificial intelligent systems: a unified information-based approach. - Serge Dolgikh (Evol. Intell., 2024)

Iterative Fuzzy-Prototype Conceptualization of Multifactorial Constrained Prior Data Spaces for Intelligent Decision Systems 66-76. - Serge Dolgikh; Oksana Mulesa; Volodymyr Sabadosh (IntelITSIS, 2025)

Counter-Inferential Behavior in Natural and Artificial Cognitive Systems. - Serge Dolgikh (CoRR, 2025)

The trap of presumed equivalence: Artificial General Intelligence should not be assessed on the scale of human intelligence. - Serge Dolgikh (Discov. Artif. Intell., 2025)