Decision-theoretic approaches to user interface adaptation: implications on universal access. - Vasilios Zarikas; Alex Paramythis; Constantine Stephanidis (HCI, 2001)

An Influence Diagrams-Based Approach to Location Aware Mobile Computing. - Vasilios Zarikas; Constantine Stephanidis (HCI (4), 2003)

Modeling decisions under uncertainty in adaptive user interfaces. - Vasilios Zarikas (Univers. Access Inf. Soc., 2007)

Bayesian network construction using a fuzzy rule based approach for medical decision support. - Vasilios Zarikas; Elpiniki Papageorgiou; Peter Regner (Expert Syst. J. Knowl. Eng., 2015)

Medical Decision Support Tool from a Fuzzy-Rules Driven Bayesian Network. - Vasilios Zarikas; Elpiniki Papageorgiou; Damira Pernebayeva; Nurislam Tursynbek (ICAART (2), 2018)

Bayesian Networks based Policy Making in the Renewable Energy Sector. - Moldir Zholdasbayeva; Vasilios Zarikas; Stavros Poulopoulos (ICAART (2), 2020)

Binary Black Hole Information Loss Paradox and Future Prospects. - Ayan Mitra; Pritam Chattopadhyay; Goutam Paul 001; Vasilios Zarikas (Entropy, 2020)

A Comparison of Bayesian and Frequentist Approaches for the Case of Accident and Safety Analysis, as a Precept for All AI Expert Models. - Moldir Zholdasbayeva; Vasilios Zarikas (ICAART (2), 2021)

Bound on Efficiency of Heat Engine from Uncertainty Relation Viewpoint. - Pritam Chattopadhyay; Ayan Mitra; Goutam Paul 001; Vasilios Zarikas (Entropy, 2021)

Intelligent Diagnosis of Breast Cancer with Thermograms using Convolutional Neural Networks. - Nurduman Aidossov; Aigerim Mashekova; Yong Zhao 001; Vasilios Zarikas; Eddie-Yin-Kwee Ng; Olzhas Mukhmetov (ICAART (2), 2022)

Extreme Electron Acceleration with Fixed Radiation Energy. - Michael R. R. Good; Chiranjeeb Singha; Vasilios Zarikas (Entropy, 2022)

An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability. - Nurduman Aidossov; Vasilios Zarikas; Yong Zhao 001; Aigerim Mashekova; Eddie-Yin-Kwee Ng; Olzhas Mukhmetov; Yerken Mirasbekov; Aldiyar Omirbayev (SN Comput. Sci., 2023)

Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool. - Olzhas Mukhmetov; Yong Zhao 001; Aigerim Mashekova; Vasilios Zarikas; Eddie-Yin-Kwee Ng; Nurduman Aidossov (Comput. Methods Programs Biomed., 2023)

Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory. - Ayan Mitra; Isidro Gómez-Vargas; Vasilios Zarikas (CoRR, 2024)