Katzouris, N., & Paliouras, G. , Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition In ECAI 2023. , Volume:372, Pages:1223 - 1230, 2023 [doi]

Christou, I., Papadakis, T., Soldatos, J., Gutierrez-Rojas, D., & Nardelli P.,  Feature Selection via Minimal Covering Sets for Industrial Internet of Things Applications  In 2023 IEEE Intl. Conf. on Distributed Computing in Smart Systems – IoT (DCOSS-IOT 2023), Volume:, Pages:, 2023 [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, March 2024. , Volume:, Pages:, [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]

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]

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]

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]

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]