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
47 papers
A Class of Multiparameter Signless Stirling Numbers of the First Kind and their -Analogues
Violetta E. Piperigou, Malvina G. Vamvakari
In this work, we provide a probabilistic derivation of a class of multiparameter signless Stirling numbers of the first kind and their q-analogues, and study the associated multiva…
A Survey on AI for 6G: Challenges and Opportunities
Constantina Chatzieleftheriou, Eirini Liotou
As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in…
The Power of Negation in Higher-Order Datalog
Angelos Charalambidis, Babis Kostopoulos, Christos Nomikos +1
We investigate the expressive power of Higher-Order Datalog under both the well-founded and the stable model semantics, establishing tight connections with complexity classe…
MAx-DNN: Multi-Level Arithmetic Approximation for Energy-Efficient DNN Hardware Accelerators
Vasileios Leon, Georgios Makris, Sotirios Xydis +2
Nowadays, the rapid growth of Deep Neural Network (DNN) architectures has established them as the defacto approach for providing advanced Machine Learning tasks with excellent accu…
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
Gavin Farrell, Eleni Adamidi, Rafael Andrade Buono +27
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an…
Towards Conversational AI for Human-Machine Collaborative MLOps
George Fatouros, Georgios Makridis, George Kousiouris +3
This paper presents a Large Language Model (LLM) based conversational agent system designed to enhance human-machine collaboration in Machine Learning Operations (MLOps). We introd…
An Overview on the Landscape of Self-Adaptive Cloud Design and Operation Patterns: Goals, Strategies, Tooling, Evaluation, and Dataset Perspectives
Apostolos Angelis, George Kousiouris
Cloud-native applications have significantly advanced the development and scalability of online services through the use of microservices and modular architectures. However, achiev…
A system for objectively measuring behavior and the environment to support large-scale studies on childhood obesity
Vasileios Papapanagiotou, Ioannis Sarafis, Leonidas Alagialoglou +3
Advances in IoT technologies combined with new algorithms have enabled the collection and processing of high-rate multi-source data streams that quantify human behavior in a fine-g…
Survey on Hand Gesture Recognition from Visual Input
Manousos Linardakis, Iraklis Varlamis, Georgios Th. Papadopoulos
Hand gesture recognition has become an important research area, driven by the growing demand for human-computer interaction in fields such as sign language recognition, virtual and…
Reducing Inference Energy Consumption Using Dual Complementary CNNs
Michail Kinnas, John Violos, Ioannis Kompatsiaris +1
Energy efficiency of Convolutional Neural Networks (CNNs) has become an important area of research, with various strategies being developed to minimize the power consumption of the…
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1
EXplainable Artificial Intelligence (XAI) approaches are widely applied for identifying fairness issues in Artificial Intelligence (AI) systems. However, in the context of facial a…
Entity Extraction from High-Level Corruption Schemes via Large Language Models
Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis +3
The rise of financial crime that has been observed in recent years has created an increasing concern around the topic and many people, organizations and governments are more and mo…
The Stable Model Semantics for Higher-Order Logic Programming
Bart Bogaerts, Angelos Charalambidis, Giannos Chatziagapis +3
We propose a stable model semantics for higher-order logic programs. Our semantics is developed using Approximation Fixpoint Theory (AFT), a powerful formalism that has successfull…
A Category-Theoretic Perspective on Higher-Order Approximation Fixpoint Theory
Samuele Pollaci, Babis Kostopoulos, Marc Denecker +1
Approximation Fixpoint Theory (AFT) is an algebraic framework designed to study the semantics of non-monotonic logics. Despite its success, AFT is not readily applicable to higher-…
Local Limit Theorems for -Multinomial and Multiple Heine Distributions
Malvina Vamvakari
In this work we establish local limit theorems for q-multinomial and multiple Heine distributions. Specifically, the pointwise convergence of the q-multinomial distribution of the…
Illicit object detection in X-ray images using Vision Transformers
Jorgen Cani, Ioannis Mademlis, Adamantia Anna Rebolledo Chrysochoou +1
Illicit object detection is a critical task performed at various high-security locations, including airports, train stations, subways, and ports. The continuous and tedious work of…
Urgent Edge Computing
Patrizio Dazzi, Luca Ferrucci, Marco Danelutto +6
This position paper introduces Urgent Edge Computing (UEC) as a paradigm shift addressing the evolving demands of time-sensitive applications in distributed edge environments, in t…
Self-supervised visual learning in the low-data regime: a comparative evaluation
Sotirios Konstantakos, Jorgen Cani, Ioannis Mademlis +4
Self-Supervised Learning (SSL) is a valuable and robust training methodology for contemporary Deep Neural Networks (DNNs), enabling unsupervised pretraining on a 'pretext task' tha…
Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function
Dimitris Dermanis, Panagiotis Rizomiliotis, Adonis Bogris +1
In this work we provide numerical results concerning a silicon-on-insulator photonic neuromorphic circuit configured as a physical unclonable function. The proposed scheme is enhan…
Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis +6
Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital fo…
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…