Broboana, D., Bratu, A.M., Magos, I., Patrascu, C. and Balan, C., 2022. Kinematics of the viscous filament during the droplet breakup in air. Scientific reports, 81(11), 12(1), pp.1-9. Link
Spinelli, I., Scardapane, S. and Uncini, A., 2022. A Meta-Learning Approach for Training Explainable Graph Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, early access, pp. 1-9. Link arXiv Code
Botta, D., Magos, I. and Balan, C., 2021. The Influence of Surface Tension on Radial Wicking in Paper. 10th International Conference on ENERGY and ENVIRONMENT (CIEM), (pp. 1-5). IEEE. Link
Botta, D., Magos, I. and Balan, C., 2021. Influence of Viscosity on Radial Diffusion of Fluids in Paper Substrates. 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE), (pp. 1-5). IEEE. Link
Chiriac, E., Avram, M. and Balan, C., 2021. Transition from Threads to Droplets in a Microchannel for Liquids with No Viscosity Contrast. 10th International Conference on ENERGY and ENVIRONMENT (CIEM), (pp. 1-4). IEEE. Link
Chiriac, E., Bran, A.M., Voitincu, C. and Balan, C., 2021. Experimental validation of VOF method in microchannel flows. 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE), (pp. 1-4). IEEE. Link
Francescato, S., Giagu, S., Riti, F., Russo, G., Sabetta, L. and Tortonesi, F., 2021. Model compression and simplification pipelines for fast deep neural network inference in FPGAs in HEP. The European Physical Journal C, 81(11), pp. 1-10. Link
Magos, I. and Bălan, C., 2021. Impact of Solid Hydrophilic Spheres on Fluid Surfaces. 10th International Conference on ENERGY and ENVIRONMENT (CIEM), (pp. 1-4). IEEE. Link
Tanase, N.O., Broboana, D. and Balan, C., 2021. Stability of the Lid-Cavity Flow at Low Reynolds Numbers. 10th International Conference on ENERGY and ENVIRONMENT (CIEM), (pp. 1-4). IEEE. Link
Tanase, N.O., Enache, A., Broboana, D. and Balan, C., 2021. Experimental and Numerical Studies of the Free Surface Flow over the Patterned Weir. 2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE), (pp. 1-4). IEEE. Link
L Maglianella, L Nicoletti, S Giagu, C Napoli, S Scardapane, Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition. Comput Softw Big Sci 7, 8 (2023). Link
A. Verdone, A. Devoto, C. Sebastiani, J. Carmignani, M. D'Onofrio, S. Giagu, S. Scardapane, M. Panella, Enhancing High-Energy Particle Physics Collision Analysis through Graph Data Attribution Techniques, arXiv:2407.14859 [cs.LG]. Link
T. Torda, A. Ciardiello, S. Gargiulo, G. Grillo, S. Scardapane, C. Voena, S. Giagu, Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging, arXiv:2405.12222 [eess.IV]. Link
A. Biondini, M. D’Onofrio, S. Giagu, C.D. Sebastiani et al. (ATLAS Collaboration), Search for light long-lived neutral particles that decay to collimated pairs of leptons or light hadrons in collisions at ~TeV with the ATLAS detector, J. High Energ. Phys. 2023, 153 (2023). Link
A. Bran, N.O. Tanase, C. Balan, Interface Dynamics and the Influence of Gravity on Droplet Generation in a Y-microchannel. Micromachines 2022, 13, 1941. Link
G. Grillo, Integrating ChatGPT-4: A Novel XAI Interface for Enhanced Clinician Understanding of MRI Image Segmentation Results, IEEEXplore CBMS 2024. Link
A. Ciardiello, Explainable deep learning inference to decode decision-making processes from multidimensional patterns of neural activities , Conference: 6th BigBrain Workshop, October 25-27, 2022 in Zadar, Croatia.
S. Giagu, Explainable and Interpretable AI in physics and applied physics, Invited Seminar at University of Milano Bicocca, Nov. 28th 2022
S. Giagu, MUCCA Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability, Workshop AI@INFN, Bologna 2-3 May 2022
Ciardiello, From which to why: interpretation map for Explainable Deep Learning based on influence methods, Workshop MSMM 2023, Torino 30-31 May 2023
S. Scardapane, Advancing Explainable AI: Testing and Enhancing Techniques Across Multidisciplinary Use-Cases, Workshop on Artificial Intelligence and the Uncertainty challenge in Fundamental Physics, Paris, 27.11-1.12, 2023
T. Torda, Tracin in Semantic Segmentation of Tumor Brains in MRI, an Extended Approach, HC@AIxIA 2nd AIxIA Workshop on Artificial Intelligence for Healthcare, Rome 2023
G. Grillo, T. Torda, C. Voena, A. Ciardiello, S. Giagu, Integrating ChatGPT-4: A Novel XAI Interface for Enhanced Clinician Understanding of MRI Image Segmentation Results, IEEE CBMS 2024 26-28.6.2024 Guadalajara, Mexico
J. Carmignani, Integrating Explainable AI in Modern High-Energy Physics (the MUCCA Project), EUCaifCon 2024, 30.4-3.5.2024 (Amsterdam): Link
CHIST-ERA PROJECTS SEMINAR 2021: S. Giagu - April 12-14 (online): link
CHIST-ERA PROJECTS SEMINAR 2022: C. Voena - March 28-30 (online): link
CHIST-ERA PROJECTS SEMINAR 2023: A. Ciardiello - April 4-5, Bratislava: link
CHIEST-ERA PROJECTS SEMINAR 2024: C.D. Sebastiani - Helsinki, Finland to Stockholm, Sweden and back on April 16-18: link slides
2021: Mucca Kickoff meeting, Feb. 22, 2021 (online)
2022: First MUCCA General Meeting, April 11-13, at the Orto Botanico in Rome, agenda
2023: Second MUCCA General Meeting, June 12-14, Bucharest
From Graph Neural Networks to Explainable AI, comprehending and trusting Machine Learning algorithms, School 20-22.9 2023, SPINE Liverpool and University of Liverpool. Link
D7.1 (Engineering pipelines and tools for general xAI applications): Link