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ORCIDSerafeim P. Moustakidis
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2020 – today
- 2024
[j20]Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, John B. Theocharis:
A Multi-View Semi-supervised learning method for knee joint cartilage segmentation combining multiple feature descriptors and image modalities. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024)- [j19]Athanasios Siouras, Serafeim P. Moustakidis, George Chalatsis, Tuan Aqeel Bohoran, Michael Hantes, Marianna Vlychou, Sotiris K. Tasoulis, Archontis Giannakidis, Dimitrios Tsaopoulos:
Economical hybrid novelty detection leveraging global aleatoric semantic uncertainty for enhanced MRI-based ACL tear diagnosis. Comput. Medical Imaging Graph. 117: 102424 (2024) - [j18]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): 147-160 (2024) - [j17]Athanasios Siouras, Konstantinos Stergiou, Patrik Karlsson, Serafeim P. Moustakidis:
Hybrid object detection methodology combining altitude-dependent local deep learning models for search and rescue operations. J. Control. Decis. 11(3): 355-365 (2024) - [c20]Agorastos-Dimitrios Samaras, Anna Feleki, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Konstantinos Kokkinos, Nikolaos I. Papandrianos:
Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype. IISA 2024: 1-8 - 2023
- [j16]Charis Ntakolia, Serafeim P. Moustakidis, Athanasios Siouras:
Autonomous path planning with obstacle avoidance for smart assistive systems. Expert Syst. Appl. 213(Part): 119049 (2023) - [j15]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): 174 (2023) - [j14]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): 559 (2023) - [j13]Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Eirini Christodolou, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness. Neural Comput. Appl. 35(1): 21-33 (2023) - [c19]Tuan Aqeel Bohoran, Polydoros N. Kampaktsis, Laura McLaughlin, Jay Leb, Serafeim P. Moustakidis, Gerry P. McCann, Archontis Giannakidis:
Right Ventricular Volume Prediction by Feature Tokenizer Transformer-Based Regression of 2D Echocardiography Small-Scale Tabular Data. FIMH 2023: 292-300 - [c18]Zoumpolia Dikopoulou, Eleni Lavasa, Sergi Perez-Castanos, David Monzo, Serafeim P. Moustakidis:
Towards Explainable AI Validation in Industry 4.0: A Fuzzy Cognitive Map-based Evaluation Framework for Assessing Business Value. ICE/ITMC 2023: 1-9 - [c17]Tuan Aqeel Bohoran, Polydoros N. Kampaktsis, Laura McLaughlin, Jay Leb, Serafeim P. Moustakidis, Gerry P. McCann, Archontis Giannakidis:
Embracing uncertainty flexibility: harnessing a supervised tree kernel to empower ensemble modelling for 2D echocardiography-based prediction of right ventricular volume. ICMV 2023 - [c16]Anna Feleki, Ioannis D. Apostolopoulos, Elpiniki Papageorgiou, Serafeim P. Moustakidis, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Konstantinos Kokkinos, Nikolaos I. Papandrianos:
Deep Fuzzy Cognitive Map methodology for Non-Small Cell Lung Cancer diagnosis based on Positron Emission Tomography imaging. IISA 2023: 1-6 - [c15]Agorastos-Dimitrios Samaras, Ioannis D. Apostolopoulos, Serafeim P. Moustakidis, Elpiniki Papageorgiou, Nikolaos D. Papathanasiou, Dimitris J. Apostolopoulos, Nikolaos I. Papandrianos:
Explainable Classification for Non-Small Cell Lung Cancer Based on Positron Emission Tomography Features and Clinical Data. IISA 2023: 1-8 - 2022
- [j12]Serafeim P. Moustakidis, Athanasios Siouras, Konstantinos Vassis, Ioannis Misiris, Elpiniki Papageorgiou, Dimitrios Tsaopoulos:
Prediction of Injuries in CrossFit Training: A Machine Learning Perspective. Algorithms 15(3): 77 (2022) - [j11]Christos G. Chadoulos, Dimitrios Tsaopoulos, Serafeim P. Moustakidis, Nikolaos L. Tsakiridis, John B. Theocharis:
A novel multi-atlas segmentation approach under the semi-supervised learning framework: Application to knee cartilage segmentation. Comput. Methods Programs Biomed. 227: 107208 (2022) - [c14]Nikolaos I. Papandrianos, Anna Feleki, Serafeim P. Moustakidis, Elpiniki I. Papageorgiou:
A Convolutional Neural Network-based explainable classification method of SPECT myocardial perfusion images in nuclear cardiology. IISA 2022: 1-7 - [c13]Athanasios Siouras, Serafeim P. Moustakidis, Archontis Giannakidis, Georgios Chalatsis, Konstantinos N. Malizos, Michael Hantes, Sotiris K. Tasoulis, Dimitrios Tsaopoulos:
Automated Recognition of healthy Anterior Cruciate Ligament in Sagittal MR images using Lightweight Deep Learning. IISA 2022: 1-8 - [c12]Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, Vassilis P. Plagianakos:
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring. IJCNN 2022: 1-9 - 2021
- [j10]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: 104614 (2021) - [j9]Charis Ntakolia, Christos Kokkotis, Patrik Karlsson, Serafeim P. Moustakidis:
An Explainable Machine Learning Model for Material Backorder Prediction in Inventory Management. Sensors 21(23): 7926 (2021) - [c11]Christos G. Chadoulos, Serafeim P. Moustakidis, Dimitrios Tsaopoulos, John B. Theocharis:
Multi-atlas segmentation of knee cartilage via Semi-supervised Regional Label Propagation. CSAI 2021: 57-64 - [c10]Serafeim P. Moustakidis, Athanasios Siouras, Nikolaos I. Papandrianos, Charis Ntakolia, Elpiniki Papageorgiou:
Deep Learning for Bone Metastasis Localisation in Nuclear Imaging data of Breast Cancer Patients. IISA 2021: 1-8 - [c9]Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Elpiniki Papageorgiou:
An explainable machine learning pipeline for backorder prediction in inventory management systems. PCI 2021: 229-234 - [i1]Zoumpolia Dikopoulou, Serafeim P. Moustakidis, Patrik Karlsson:
GLIME: A new graphical methodology for interpretable model-agnostic explanations. CoRR abs/2107.09927 (2021) - 2020
- [j8]Serafeim P. Moustakidis, Patrik Karlsson:
A novel feature extraction methodology using Siamese convolutional neural networks for intrusion detection. Cybersecur. 3(1): 16 (2020) - [j7]Konstantinos Liakos, Georgios K. Georgakilas, Serafeim P. Moustakidis, Nicolas Sklavos, Fotis C. Plessas:
Conventional and machine learning approaches as countermeasures against hardware trojan attacks. Microprocess. Microsystems 79: 103295 (2020) - [c8]Charis Ntakolia, Christos Kokkotis, Serafeim P. Moustakidis, Dimitrios Tsaopoulos:
A machine learning pipeline for predicting joint space narrowing in knee osteoarthritis patients. BIBE 2020: 934-941 - [c7]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: 1-7 - [c6]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: 1-7 - [c5]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: 16-26
2010 – 2019
- 2019
- [j6]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): 73-86 (2019) - [c4]Eirini Christodoulou, Serafeim P. Moustakidis, Nikolaos I. Papandrianos, Dimitrios Tsaopoulos, Elpiniki Papageorgiou:
Exploring deep learning capabilities in knee osteoarthritis case study for classification. IISA 2019: 1-6 - 2017
- [c3]Konstantinos Liakos, Serafeim P. Moustakidis, Georgia Tsiotra, Thomas Bartzanas, Dionysis Bochtis, Constantinos Parisses:
Machine Learning Based Computational Analysis Method for Cattle Lameness Prediction. HAICTA 2017: 128-139 - 2014
- [c2]Thayaparan Parthipan, P. Jackson, A. Chong, Mathew Legg, Abbas Mohimi, Vassilios Kappatos, Cem Selcuk, Tat-Hean Gan, Serafeim P. Moustakidis, K. Hrissagis:
Long Range Ultrasonic inspection of aircraft wiring. ISIE 2014: 1289-1294 - 2012
- [j5]Serafeim P. Moustakidis, John B. Theocharis:
A fast SVM-based wrapper feature selection method driven by a fuzzy complementary criterion. Pattern Anal. Appl. 15(4): 379-397 (2012) - [j4]Serafeim P. Moustakidis, Giorgos Mallinis, Nikos Koutsias, John B. Theocharis, Vassilios Petridis:
SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 50(1): 149-169 (2012) - 2010
- [j3]Serafeim P. Moustakidis, John B. Theocharis:
SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion. Pattern Recognit. 43(11): 3712-3729 (2010) - [c1]Nikolaos E. Mitrakis, Serafeim P. Moustakidis, John B. Theocharis:
A Fuzzy Complementary Criterion for structure learning of a neuro-fuzzy classifier. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2008
- [j2]Serafeim P. Moustakidis, George A. Rovithakis, John B. Theocharis:
An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Autom. 44(5): 1418-1425 (2008) - [j1]Serafeim P. Moustakidis, John B. Theocharis, Giannis Giakas:
Subject Recognition Based on Ground Reaction Force Measurements of Gait Signals. IEEE Trans. Syst. Man Cybern. Part B 38(6): 1476-1485 (2008)
Coauthor Index
aka: Elpiniki Papageorgiou
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