147 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Christos Diou2 profiles9 · h 9
- Aristotelis Ballas6 · h 6
- Georgios Th. Papadopoulos2 profiles6 · h 6
- Iraklis Varlamis2 profiles6 · h 29
- Ioannis Mademlis5 · h 6
- K. Tserpes4 · h 40
- T. Varvarigou4 · h 37
- Vasileios Papapanagiotou4 · h 12
- A. Alsalemi3 · h 27
- A. Amira3 · h 50
- Adamantia Anna Rebolledo Chrysochoou3 · h 3
- B. Kostopoulos3 · h 1
- National Technical University of AthensGR7 papers
- Vrije Universiteit BrusselBE4 papers
- Aristotle University of ThessalonikiGR3 papers
- Centre for Research and Technology HellasGR3 papers
- De Montfort UniversityGB3 papers
- National and Kapodistrian University of AthensGR3 papers
- Qatar UniversityQA3 papers
- University of the AegeanGR3 papers
- Athens University of Economics and BusinessGR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- École de Technologie SupérieureCA2 papers
- Frontier Science Foundation-HellasGR2 papers
13 papers · 1 filter
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning
Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou
Despite recent advancements in deep learning, its application in real-world medical settings, such as phonocardiogram (PCG) classification, remains limited. A significant barrier i…
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis +4
Over the last decade there has been an increasing frequency and intensity of wildfires across the globe, posing significant threats to human and animal lives, ecosystems, and socio…
Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
Ioannis E. Livieris, Emmanuel Pintelas, Niki Kiriakidou +1
With the proliferation of image-based applications in various domains, the need for accurate and interpretable image similarity measures has become increasingly critical. Existing…
Self-supervised visual learning for analyzing firearms trafficking activities on the Web
Sotirios Konstantakos, Despina Ioanna Chalkiadaki, Ioannis Mademlis +2
Automated visual firearms classification from RGB images is an important real-world task with applications in public space security, intelligence gathering and law enforcement inve…
Visual inspection for illicit items in X-ray images using Deep Learning
Ioannis Mademlis, Georgios Batsis, Adamantia Anna Rebolledo Chrysochoou +1
Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization
Aristotelis Ballas, Christos Diou
During the past decade, deep neural networks have led to fast-paced progress and significant achievements in computer vision problems, for both academia and industry. Yet despite t…
Empirical Investigation of Factors influencing Function as a Service Performance in Different Cloud/Edge System Setups
Anastasia-Dimitra Lipitakis, George Kousiouris, Mara Nikolaidou +2
Experimental data can aid in gaining insights about a system operation, as well as determining critical aspects of a modelling or simulation process. In this paper, we analyze the…
Integrating Nearest Neighbors with Neural Network Models for Treatment Effect Estimation
Niki Kiriakidou, Christos Diou
Treatment effect estimation is of high-importance for both researchers and practitioners across many scientific and industrial domains. The abundance of observational data makes th…
CNN Feature Map Augmentation for Single-Source Domain Generalization
Aristotelis Ballas, Christos Diou
In search of robust and generalizable machine learning models, Domain Generalization (DG) has gained significant traction during the past few years. The goal in DG is to produce mo…
Neural Natural Language Processing for Long Texts: A Survey on Classification and Summarization
Dimitrios Tsirmpas, Ioannis Gkionis, Georgios Th. Papadopoulos +1
The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long document analysis are quite…
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks
Aristotelis Ballas, Christos Diou
Despite their immense success in numerous fields, machine and deep learning systems have not yet been able to firmly establish themselves in mission-critical applications in health…
Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction
Theodoros Theodoropoulos, John Violos, Stylianos Tsanakas +3
The proliferation of demanding applications and edge computing establishes the need for an efficient management of the underlying computing infrastructures, urging the providers to…