39 citations · 67 across the 8 of their papers we have counts for
10 papers
Automated screening of privacy risks in medical AI
Konstantinos Vrettos, Eleftherios Tzanis, Haridimos Kondylakis +3
Medical artificial intelligence (AI) models are often shared without their training data, assuming this protects the patients who contributed them. However, a model can reveal whet…
PG-HIVE: Hybrid Incremental Schema Discovery for Property Graphs
Sofia Sideri, Georgia Troullinou, Elisjana Ymeralli +3
Property graphs have rapidly become the de facto standard for representing and managing complex, interconnected data, powering applications across domains from knowledge graphs to…
AI Model Passport: Data and System Traceability Framework for Transparent AI in Health
Varvara Kalokyri, Nikolaos S. Tachos, Charalampos N. Kalantzopoulos +10
The increasing integration of Artificial Intelligence (AI) into health and biomedical systems necessitates robust frameworks for transparency, accountability, and ethical complianc…
iSummary: Workload-based, Personalized Summaries for Knowledge Graphs
Giannis Vassiliou, Fanouris Alevizakis, Nikolaos Papadakis +1
The explosion in the size and the complexity of the available Knowledge Graphs on the web has led to the need for efficient and effective methods for their understanding and explor…
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117
Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. I…
SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs
Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini +1
Analytical queries over RDF data are becoming prominent as a result of the proliferation of knowledge graphs. Yet, RDF databases are not optimized to perform such queries efficient…
Coconut: a scalable bottom-up approach for building data series indexes
Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1
Many modern applications produce massive amounts of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…
Coconut Palm: Static and Streaming Data Series Exploration Now in your Palm
Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1
Many modern applications produce massive streams of data series and maintain them in indexes to be able to explore them through nearest neighbor search. Existing data series indexe…
Coconut: sortable summarizations for scalable indexes over static and streaming data series
Haridimos Kondylakis, Niv Dayan, Kostas Zoumpatianos +1
Many modern applications produce massive streams of data series that need to be analyzed, requiring efficient similarity search operations. However, the state-of-the-art data serie…
Graph Summarization
Angela Bonifati, Stefania Dumbrava, Haridimos Kondylakis
The continuous and rapid growth of highly interconnected datasets, which are both voluminous and complex, calls for the development of adequate processing and analytical techniques…