A5047313464- Software Engineering Research
- Multi-Agent Systems and Negotiation
- Data Mining Algorithms and Applications
- Software System Performance and Reliability
- Software Reliability and Analysis Research
- Service-Oriented Architecture and Web Services
- Web Data Mining and Analysis
- Auction Theory and Applications
- Software Engineering Techniques and Practices
- Software Testing and Debugging Techniques
- Semantic Web and Ontologies
- Smart Grid Energy Management
- Topic Modeling
- Robotics and Automated Systems
- Open Source Software Innovations
- Modular Robots and Swarm Intelligence
- Video Analysis and Summarization
- Robotics and Sensor-Based Localization
- Advanced Malware Detection Techniques
- User Authentication and Security Systems
- Mobile Agent-Based Network Management
- Energy Efficiency and Management
- Advanced Software Engineering Methodologies
- Model-Driven Software Engineering Techniques
- Advanced Graph Neural Networks
Aristotle University of Thessaloniki
2016-2025
Hellenic Agency for Local Development and Local Government
2023
Information Technologies Institute
2005-2017
Centre for Research and Technology Hellas
2005-2017
Flooding is one of the most destructive natural phenomena that happen worldwide, leading to damage property and infrastructure or even loss lives. The escalation in intensity number flooding events as a result combination climate change anthropogenic factors motivates need adopt real-time solutions for mapping flood hazards risks. In this study, methodological framework proposed enables assessment hazard risk levels severity dynamically by fusing optical remote sensing (Sentinel-1) GIS-based...
ICT (Information and Communication Technology) and, in particular, software is more pervasive it cannot be considered anymore as a minor element of complex systems. In domains like cloud, big data, IoT (Internet Things), CPS (Cyber-Physical Systems) the core element. We need to consolidate engineering discipline, which, despite impressive achievements area technology, probably one youngest scientific technological disciplines with about 60 years history. This paper summarizes challenges that...
The challenge of providing quality healthcare to underserved populations in low- and middle-income countries (LMICs) has attracted increasing attention from information communication technology (ICT) professionals interested societal impact through their work. Sana is an organisation hosted at the Institute for Medical Engineering Science Massachusetts Technology that was established out this interest. Over past several years, developed a model organising mobile health bootcamp hackathon...
Abstract Deep neural networks (DNNs) are key components for the implementation of autonomy in systems that operate highly complex and unpredictable environments (self-driving cars, smart traffic systems, manufacturing, etc.). It is well known DNNs vulnerable to adversarial examples, i.e. minimal usually imperceptible perturbations, applied their inputs, leading false predictions. This threat poses critical challenges, especially when deployed safety or security-critical renders as urgent...
In this paper, we propose a dense multi-scale adaptive graph convolutional network (DMA-GCN) method for automatic segmentation of the knee joint cartilage from MR images. Under multi-atlas setting, suggested approach exhibits several novelties, as described in following. First, our models integrate both local-level and global-level learning simultaneously. The local task aggregates spatial contextual information aligned neighborhoods nodes, at multiple scales, while global explores pairwise...
The popularity of open source software repositories and the highly adopted paradigm reuse have led to development several tools that aspire assess quality code. However, most estimation tools, even ones using adaptable models, depend on fixed metric thresholds for defining ground truth. In this work we argue components, as perceived by developers, can be considered an indicator quality. We present a generic methodology relates with code metrics estimates components residing in popular GitHub...
This work emanates from the particularities residing in contemporary social media storytelling, where multiple users and publishing channels capture share public events, experiences, places. Multichannel presentation visualization mechanisms are pursued along with novel audiovisual mixing (such as time-delay-compensation enhancement, perceptual mixing, quality-based content selection, linking to context-aware metadata, propagating multimedia semantics), thus promoting multimodal editing,...
The widespread use of smartphones has dictated a new paradigm, where mobile applications are the primary channel for dealing with day-to-day tasks. This paradigm is full sensitive information, making security utmost importance. To that end, and given traditional authentication techniques (passwords and/or unlock patterns) which have become ineffective, several research efforts targeted towards biometrics security, while more advanced considering continuous implicit on basis behavioral...
Virtual assistants are becoming popular in a variety of domains, responsible for automating repetitive tasks or allowing users to seamlessly access useful information. With the advances Machine Learning and Natural Language Processing, there has been an increasing interest applying such new areas with capabilities. In particular, their application e-healthcare is attractive driven by need medically-related knowledge, as well providing first-level assistance efficient manner. types virtual...
The amount of software engineering data is constantly growing, as more and developers employ online services to store their code, keep track bugs, or even discuss issues. residing in these can be mined address different research challenges; therefore, certain initiatives have been established encourage sharing datasets collecting them. In this work, we investigate the effect such an initiative; create a directory that includes papers corresponding Mining Software Engineering (MSR)...
Knee osteoarthritis (KOA) is a highly prevalent muscoloskeletal joint disorder affecting significant portion of the population worldwide. Accurate predictions KOA progression can assist clinicians in drawing preventive strategies for patients. In this paper, we present an integrated approach based on hypergraph convolutional networks (HGCNs) longitudinal grades and progressions from MRI images. We propose two novel models, namely, C_Shape.Net predictor network. The operates volumetric nodes,...
In today’s rapidly changing software development landscape, ensuring code quality is essential to reliability, maintainability, and security among other aspects. Identifying issues can be tackled; however, implementing improvements a complex time‐consuming task. To address this problem, we present novel methodology designed assist developers by suggesting alternative snippets that not only match the functionality of original but also improve its based on predefined metrics. Our system...
In recent years, system intelligence has revolutionized various domains, including the automotive industry, which fully incorporated through emergence of Advanced Driver Assistance Systems (ADAS). Within this transformative context, Autonomous Parking (APS) have emerged as a foundational component, revolutionizing way vehicles navigate and park with precision efficiency. This paper presents comprehensive approach to autonomous parallel parking, leveraging advancements in Artificial...