Christos Kokkotis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Ischemic Stroke

Physical Activity

Inventory Management

Top Venues

Int. J. Medical Informatics

Publications

Kyriakos Apostolidis, Christos Kokkotis, Serafeim P. Moustakidis, Evangelos G. Karakasis, Paraskevi Sakellari, Christina Koutra, Dimitrios Tsiptsios, Stella Karatzetzou, Konstantinos Vadikolias, Nikolaos Aggelousis
Machine Learning Algorithms for the Prediction of Language and Cognition Rehabilitation Outcomes of Post-stroke Patients: A Scoping Review. Hum. Centric Intell. Syst. 4 (1) (2024)
Kyriakos Apostolidis, Christos Kokkotis, Evangelos G. Karakasis, Evangeli Karampina, Serafeim P. Moustakidis, Dimitrios Menychtas, Georgios Giarmatzis, Dimitrios Tsiptsios, Konstantinos Vadikolias, Nikolaos Aggelousis
Innovative Visualization Approach for Biomechanical Time Series in Stroke Diagnosis Using Explainable Machine Learning Methods: A Proof-of-Concept Study. Inf. 14 (10) (2023)
Serafeim P. Moustakidis, Spyridon Plakias, Christos Kokkotis, Themistoklis Tsatalas, Dimitrios Tsaopoulos
Predicting Football Team Performance with Explainable AI: Leveraging SHAP to Identify Key Team-Level Performance Metrics. Future Internet 15 (5) (2023)
Charis Ntakolia, Christos Kokkotis, Patrik Karlsson, Serafeim P. Moustakidis
An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management. Sensors 21 (23) (2021)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou
An explainable machine learning pipeline for backorder prediction in inventory management systems. PCI (2021)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos
Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients. Int. J. Medical Informatics 156 (2021)
Antonios Alexos, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Dimitrios Tsaopoulos
Prediction of pain in knee osteoarthritis patients using machine learning: Data from Osteoarthritis Initiative. IISA (2020)
Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Giannis Giakas, Dimitrios Tsaopoulos
A Machine Learning workflow for Diagnosis of Knee Osteoarthritis with a focus on post-hoc explainability. IISA (2020)
Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. BIBE (2020)
Antonios Alexos, Serafeim P. Moustakidis, Christos Kokkotis, Dimitrios Tsaopoulos
Physical Activity as a Risk Factor in the Progression of Osteoarthritis: A Machine Learning Perspective. LION (2020)
Serafeim P. Moustakidis, Eirini Christodoulou, Elpiniki Papageorgiou, Christos Kokkotis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos
Application of machine intelligence for osteoarthritis classification: a classical implementation and a quantum perspective. Quantum Mach. Intell. 1 (3-4) (2019)