Michael Vasilakakis

According to our database, Michael Vasilakakis authored at least 20 papers between 2016 and 2023.

Collaborative distances:

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

2023

Fuzzy similarity phrases for interpretable data classification.

Michael D. Vasilakakis, Dimitris K. Iakovidis

Inf. Sci., May, 2023

Automatic Fuzzy Cognitive Maps for Explainable Image-based Pneumonia Detection.

Georgia Sovatzidi, Michael Vasilakakis, Dimitris K. Iakovidis

Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics, 2023

Towards the Interpretation of Multi-Label Image Classification Using Transformers and Fuzzy Cognitive Maps.

Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Towards the Interpretation of Convolutional Neural Networks for Image Classification Using Fuzzy Sets.

Michael Vasilakakis, Georgia Sovatzidi, George Dimas, Dimitris K. Iakovidis

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

ENORASI Assistive Computer Vision-based System for the Visually Impaired: A User Evaluation Study.

Alexandros Mitsou, Dimitra-Christina C. Koutsiou, Dimitrios E. Diamantis, Theodoros Psallidas, George Dimas, Michael Vasilakakis, Panagiotis Kalozoumis, Evaggelos Spyrou, Stavros J. Perantonis, Artur Krukowski, Dimitris K. Iakovidis

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Constructive Fuzzy Cognitive Map for Depression Severity Estimation.

Georgia Sovatzidi, Michael Vasilakakis, Dimitris K. Iakovidis

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

IF³: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps.

Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis

Proceedings of the Cancer Prevention Through Early Detection, 2022

Multimodal Video Summarization based on Fuzzy Similarity Features.

Theodoros Psallidas, Michael D. Vasilakakis, Evaggelos Spyrou, Dimitris K. Iakovidis

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Automatic Fuzzy Graph Construction For Interpretable Image Classification.

Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Fuzzy Cognitive Maps for Interpretable Image-based Classification.

Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

A Constructive Fuzzy Representation Model for Heart Data Classification.

Michael D. Vasilakakis, Dimitris K. Iakovidis, George Koulaouzidis

Proceedings of the Public Health and Informatics, 2021

Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization.

Michael Vasilakakis, Georgia Sovatzidi, Dimitris K. Iakovidis

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Explainable Fuzzy Texture Words Model for Automatic Bone Fracture Identification.

Georgia Sovatzidi, Panagiota Gatoula, Michael D. Vasilakakis, Dimitris K. Iakovidis

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2021

2020

Computational signal analysis methods for information extraction with applications in biomedicine

Michael Vasilakakis

PhD thesis, 2020

Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames.

Michael D. Vasilakakis, Dimitris Diamantis, Evaggelos Spyrou, Anastasios Koulaouzidis, Dimitris K. Iakovidis

Evol. Syst., 2020

2019

Bone Fracture Identification in X-Ray Images using Fuzzy Wavelet Features.

Michael Vasilakakis, Varvara Iosifidou, Panagiota Fragkaki, Dimitrios K. Iakovidis

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification.

Dimitrios K. Iakovidis, Spiros V. Georgakopoulos, Michael Vasilakakis, Anastasios Koulaouzidis, Vassilis P. Plagianakos

IEEE Trans. Medical Imaging, 2018

DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy.

Michael D. Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Anastasios Koulaouzidis

Comput. Math. Methods Medicine, 2018

2017

Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos.

Michael D. Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Dimitris Chatzis, Anastasios Koulaouzidis

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model.

Michael Vasilakakis, Dimitrios K. Iakovidis, Evaggelos Spyrou, Anastasios Koulaouzidis

Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016