Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. - Serafeim P. Moustakidis; Eirini Christodoulou; Elpiniki Papageorgiou; Christos Kokkotis; Nikolaos I. Papandrianos; Dimitrios Tsaopoulos (Quantum Mach. Intell., 2019)

A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos (BIBE, 2020)

Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. - Antonios Alexos; Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Dimitrios Tsaopoulos (IISA, 2020)

A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. - Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou; Giannis Giakas; Dimitrios Tsaopoulos (IISA, 2020)

Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective. - Antonios Alexos; Serafeim P. Moustakidis; Christos Kokkotis; Dimitrios Tsaopoulos (LION, 2020)

An explainable machine learning pipeline for backorder prediction in inventory management systems. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Elpiniki Papageorgiou (PCI, 2021)

Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients. - Charis Ntakolia; Christos Kokkotis; Serafeim P. Moustakidis; Dimitrios Tsaopoulos (Int. J. Medical Informatics, 2021)

An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management. - Charis Ntakolia; Christos Kokkotis; Patrik Karlsson; Serafeim P. Moustakidis (Sensors, 2021)

Applications of machine learning algorithms in quality of life - Christos Kokkotis (2021)

Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study. - Kyriakos Apostolidis; Christos Kokkotis; Evangelos G. Karakasis; Evangeli Karampina; Serafeim P. Moustakidis; Dimitrios Menychtas; Georgios Giarmatzis; Dimitrios Tsiptsios; Konstantinos Vadikolias; Nikolaos Aggelousis (Inf., 2023)

Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics. - Serafeim P. Moustakidis; Spyridon Plakias; Christos Kokkotis; Themistoklis Tsatalas; Dimitrios Tsaopoulos (Future Internet, 2023)

Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review. - Kyriakos Apostolidis; Christos Kokkotis; Serafeim P. Moustakidis; Evangelos G. Karakasis; Paraskevi Sakellari; Christina Koutra; Dimitrios Tsiptsios; Stella Karatzetzou; Konstantinos Vadikolias; Nikolaos Aggelousis (Hum. Centric Intell. Syst., 2024)