A5070551029- Semantic Web and Ontologies
- Advanced Database Systems and Queries
- Web Data Mining and Analysis
- Open Education and E-Learning
- Advanced Text Analysis Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Intelligent Tutoring Systems and Adaptive Learning
- Advanced Malware Detection Techniques
- Image Retrieval and Classification Techniques
- AI-based Problem Solving and Planning
- Multimedia Communication and Technology
- Software Engineering Research
- Video Analysis and Summarization
- Retinal Imaging and Analysis
- Data Management and Algorithms
- Geographic Information Systems Studies
- Service-Oriented Architecture and Web Services
- Peer-to-Peer Network Technologies
- Natural Language Processing Techniques
- Web Application Security Vulnerabilities
- Rough Sets and Fuzzy Logic
- Artificial Intelligence in Healthcare
- Usability and User Interface Design
- Business Process Modeling and Analysis
University of Thessaly
2023
Technological Educational Institute of Thessaly
2013-2017
Aristotle University of Thessaloniki
1995-2008
Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the human eye and potentially leading to permanent blindness. The early detection DR crucial for effective treatment, as symptoms often manifest in later stages. manual grading retinal images time-consuming, prone errors, lacks patient-friendliness. In this study, we propose two deep learning (DL) architectures, hybrid network combining VGG16 XGBoost Classifier, DenseNet 121 network, classification. To...
Web data extraction (or web scraping) is the process of collecting unstructured or semi-structured information from World Wide Web, at different levels automation. It an important, valuable and practical approach towards reuse while same time can serve transition to semantic web, by providing structured required latter. In this paper we present DEiXTo, a suite that provides arsenal features aiming designing deploying well-engineered tasks. We focus on presenting core pattern matching...
This paper presents PASER, a system for automatically synthesising curricula using AI Planning and Machine Learning techniques based on an ontology of educational resources metadata. Given the initial state problem (learner's profile, preferences, needs abilities), available actions (study resource, take exam, join e-learning course, etc.) goals (obtain certificate, learn subject, acquire skill, etc.), planning module PASER constructs complete curriculum that achieves goals. The matches...
Source code search engines assist the software development process by providing a way of searching for free source in repositories. Although their use is rather straightforward, there exist few them and differences they index provide access to assets require considerable time effort from programmer them. In this paper, we present federated open engine that simultaneously asks, real time, existing sites detail overcome integration obstacles, combining provided APIs, browser automation web...