Aristidis Anagnostopoulos

Pubblicazioni

Titolo Pubblicato in Anno
ReliK: A Reliability Measure for Knowledge Graph Embeddings Proceedings of the 2024 ACM Web Conference (TheWebConf 2024) 2024
FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research IEEE ACCESS 2024
Analyzing Topic Models: A Tourism Recommender System Perspective Lecture Notes on Data Engineering and Communications Technologies 2024
A Data-Driven Approach to Refine Predictions of Differentiated Thyroid Cancer Outcomes: A Prospective Multicenter Study THE JOURNAL OF CLINICAL ENDOCRINOLOGY AND METABOLISM 2023
A deep-learning–based antifraud system for car-insurance claims EXPERT SYSTEMS WITH APPLICATIONS 2023
Automated Natural Language Processing-Based Supplier Discovery for Financial Services BIG DATA 2023
XGDAG: explainable gene–disease associations via graph neural networks BIOINFORMATICS 2023
Biased opinion dynamics: when the devil is in the details INFORMATION SCIENCES 2022
Skyline in Crowdsourcing with Imprecise Comparisons CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021
Learning double-compression video fingerprints left from social-media platforms ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021
Identification of social-media platform of videos through the use of shared features JOURNAL OF IMAGING 2021
How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics? Proceedings of the 2021 IEEE International Conference on Big Data (BigData 2021) 2021
Deep learning for multimedia forensics FOUNDATIONS AND TRENDS IN COMPUTER GRAPHICS AND VISION 2021
Hardware-assisted and Deep-Learning techniques for Low-Power Detection of Cardiovascular Abnormalities in Smart Wearables Proceedings - 5th IEEE International Conference on Smart Internet of Things, SmartIoT 2021 2021
Firms Default Prediction with Machine Learning Mining Data for Financial Applications 2020
Spectral Relaxations and Fair Densest Subgraphs International Conference on Information and Knowledge Management, Proceedings 2020
Biased Opinion Dynamics: When the Devil is in the Details IJCAI International Joint Conferences on Artificial Intelligence 2020
Collaborative procrastination Leibniz International Proceedings in Informatics, LIPIcs 2020
Fog-computing-based heartbeat detection and arrhythmia classification using machine learning ALGORITHMS 2019
Data-driven intrusion detection for ambient intelligence Ambient Intelligence 2019

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