Christos Kokkotis

According to our database, Christos Kokkotis authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., March, 2024

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, May, 2023

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

2021

Applications of machine learning algorithms in quality of life

Christos Kokkotis

PhD thesis, 2021

An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management.

Charis Ntakolia, Christos Kokkotis, Patrik Karlsson, Serafeim P. Moustakidis

Sensors, 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 pipeline for backorder prediction in inventory management systems.

Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou

Proceedings of the PCI 2021: 25th Pan-Hellenic Conference on Informatics, Volos, Greece, November 26, 2021

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

Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 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

Proceedings of the 11th International Conference on Information, 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

Proceedings of the 11th International Conference on Information, 2020

A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients.

Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos

Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019

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