Search Results for author: Iraklis Varlamis

Found 16 papers, 1 papers with code

Survey on Hand Gesture Recognition from Visual Input

no code implementations21 Jan 2025 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 augmented reality, and robotics.

Computational Efficiency Hand Gesture Recognition +3

Applications of Knowledge Distillation in Remote Sensing: A Survey

no code implementations18 Sep 2024 Yassine Himeur, Nour Aburaed, Omar Elharrouss, Iraklis Varlamis, Shadi Atalla, Wathiq Mansoor, Hussain Al Ahmad

With the ever-growing complexity of models in the field of remote sensing (RS), there is an increasing demand for solutions that balance model accuracy with computational efficiency.

Computational Efficiency Instance Segmentation +6

Entity Extraction from High-Level Corruption Schemes via Large Language Models

1 code implementation5 Sep 2024 Panagiotis Koletsis, Panagiotis-Konstantinos Gemos, Christos Chronis, Iraklis Varlamis, Vasilis Efthymiou, Georgios Th. Papadopoulos

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 more frequently trying to combat it.

Prompt Engineering

Leveraging Digital Twin Technologies for Public Space Protection and Vulnerability Assessment

no code implementations30 Aug 2024 Artemis Stefanidou, Jorgen Cani, Thomas Papadopoulos, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos

Over the recent years, the protection of the so-called `soft-targets', i. e. locations easily accessible by the general public with relatively low, though, security measures, has emerged as a rather challenging and increasingly important issue.

Autonomous Vehicles Cloud Computing

Sampling Strategies for Mitigating Bias in Face Synthesis Methods

no code implementations18 May 2024 Emmanouil Maragkoudakis, Symeon Papadopoulos, Iraklis Varlamis, Christos Diou

To mitigate bias, we propose two alternative methods for sampling on selected lines or spheres of the latent space to increase the number of generated samples from the under-represented classes.

Face Generation

Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study

no code implementations24 Apr 2024 Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl, Iraklis Varlamis, Georgios Th. Papadopoulos

The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare.

Management

Federated Learning for Computer Vision

no code implementations24 Aug 2023 Yassine Himeur, Iraklis Varlamis, Hamza Kheddar, Abbes Amira, Shadi Atalla, Yashbir Singh, Faycal Bensaali, Wathiq Mansoor

Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks.

Federated Learning

Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques

no code implementations6 Aug 2023 Anastasios Iliopoulos, John Violos, Christos Diou, Iraklis Varlamis

To boost the performance of these base models, we propose a feature-bagging technique that considers only a subset of features at a time, and we further apply a transformation that is based on nested rotation computed from Principal Component Analysis (PCA) to improve the effectiveness and generalization of the approach.

Anomaly Detection Time Series

Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions

no code implementations9 Jun 2023 Nikolaos Rodis, Christos Sardianos, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos

Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable results across numerous data analysis tasks, however, this is typically accompanied by a significant shortcoming in the exhibited transparency and trustworthiness of the developed systems.

Explainable artificial intelligence

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

no code implementations3 Feb 2022 Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassará, Antonio Carta, Rudy Semola, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio, Davide Bacciu

This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an automatic driver's stress recognition algorithm, both of them realizing a Cyber-Physical System of Systems.

Autonomous Driving reinforcement-learning +1

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

no code implementations9 Feb 2021 Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji, Faycal Bensaali, Abbes Amira, Christos Sardianos, George Dimitrakopoulos, Iraklis Varlamis

Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies.

Recommendation Systems

The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency

no code implementations10 Oct 2020 Christos Sardianos, Iraklis Varlamis, Christos Chronis, George Dimitrakopoulos, Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira

Recommendation systems are intelligent systems that support human decision making, and as such, they have to be explainable in order to increase user trust and improve the acceptance of recommendations.

Decision Making Recommendation Systems

Text Relatedness Based on a Word Thesaurus

no code implementations15 Jan 2014 George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis

Without doubt, a measure of relatedness between text segments must take into account both the lexical and the semantic relatedness between words.

Clustering Sentence +3

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