González M., Valencia A., & Cirillo, D., From Complexity to Clarity: Evaluating Explainability of Biomedical Machine Learning Models In 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology (ISMB/ECCB) at Palais des congrès de Lyon, Volume:, Pages:, 2023 [doi]

Klioumis G., Giatrakos N., Data-driven Synchronization Protocols for Data-parallel Neural Learning over Streaming Data In the 2024 IEEE International Conference on Big Data (BigData), Volume:, Pages:, 2024 [doi]

Liakos, P., Papakonstantinopoulou, K., Bruineman, T., Raasveldt, M., & Kotidis, Y., How to Make your Duck Fly: Advanced Floating Point Compression to the Rescue. In Proceedings of the 27th International Conference on Extending Database Technology (demos), Paestum, Italy., Volume:, Pages:, 2024 [doi]

De Palma A., Bunel R., Dvijotham K., Kumar M.P., Stanforth R., Lomuscio A., Expressive Losses for Verified Robustness via Convex Combinations In Proceedings of the 12th International Conference on Learning Representations (ICLR24). Vienna, Austria., Volume:, Pages:, 2024 [doi]

Núñez-Carpintero I., Rigau M., Bosio M., O’Connor E., Spendiff S., Azuma Y., Topf A., Thompson R., A. C. ’t Hoen P., Chamova T., Tournev I., Guergueltcheva V., Laurie S., Beltran S., Capella-Gutiérrez S., Cirillo D., Lochmüller H. & Valencia A., Rare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes In Nature Communications, Volume:15, Pages:, 2021 [doi]

Gashi F., Abuibaid K., Rusjowski M., & Wagner A., Model predictive control based reference generation for optimal proportional integral derivative control In the 32nd Mediterranean Conference on Control and Automation. , Volume:, Pages:, 2024 [doi]

Kontaxakis, A., Giatrakos, N., Sacharidis, D., & Deligiannakis, A. , And synopses for all: A synopses data engine for extreme scale analytics-as-a-service. Information Systems In Information Systems, Volume:116, Pages:, 2023 [doi]

Skevis A., Klioumis G. & Giatrakos N., A Novel Reverse Random Hyperplane Projection Scheme and Its Effect on Mining Sensor Streams In the 2024 IEEE International Conference on Big Data (BigData), Volume:, Pages:, 2024 [doi]

Giatrakos, N., Alevizos, E., Deligiannakis, A., Klinkenberg, R., & Artikis A., Proactive Streaming Analytics at Scale: A Journey from the State-of-the-art to a Production Platform (Tutorial) In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), Volume:, Pages:, 2023 [doi]

Streviniotis, E, Giatrakos, N., Kotidis, Y., Ntiniakou, T., & Ponce de Leon, M., Optimising Resource Allocation for Tumor Simulations over HPC Infrastructures In Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA'23), Volume:, Pages:, 2023 [doi]