Tutte le pubblicazioni

Barth, Benjamin; Sebastian, Roshith; De Cola, Tomaso; Guidotti, Alessandro, NTN Architecture for PPDR in 5G-Advanced, in: 2024 IEEE Future Networks World Forum, FNWF 2024, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 351 - 356 (atti di: 2024 IEEE Future Networks World Forum, FNWF 2024, are, 2024) [Contributo in Atti di convegno]

Jati, Grafika; Molan, Martin; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea, LIDAROC: Realistic LiDAR Cover Contamination Dataset for Enhancing Autonomous Vehicle Perception Reliability, «IEEE SENSORS LETTERS», 2024, 8, pp. 1 - 4 [Articolo in rivista] Open Access

De Filippo, Bruno; Amatetti, Carla; Campana, Riccardo; Guidotti, Alessandro; Vanelli-Coralli, Alessandro, An SCMA Receiver for 6G NTN based on Multi-Task Learning, in: 2024 IEEE Globecom Workshops (GC Wkshps), 2024, pp. 1 - 6 (atti di: 2024 IEEE Globecom Workshops (GC Wkshps), Cape Town, Sudafrica, 08-12 Dicembre 2024) [Contributo in Atti di convegno]

Cortesi, M.; Warton, K.; Ford, C. E., Beyond 2D cell cultures: how 3D models are changing the in vitro study of ovarian cancer and how to make the most of them, «PEERJ», 2024, 12, pp. 1 - 28 [Articolo in rivista] Open Access

Werner, Bonnita; Powell, Elyse; Duggan, Jennifer; Cortesi, Marilisa; Lee, Yeh Chen; Arora, Vivek; Athavale, Ramanand; Dean, Michael; Warton, Kristina; Ford, Caroline E., Cell‐free DNA from ascites identifies clinically relevant variants and tumour evolution in patients with advanced ovarian cancer, «MOLECULAR ONCOLOGY», 2024, 18, pp. 2668 - 2683 [Articolo in rivista] Open Access

Cortesi, Marilisa; Liu, Dongli; Powell, Elyse; Barlow, Ellen; Warton, Kristina; Ford, Caroline E., Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach, «ADVANCED BIOLOGY», 2024, 8, pp. 1 - 13 [Articolo in rivista] Open Access

Brumali, R.; Carnevale, G.; Notarstefano, G., A Deep Learning Approach for Distributed Aggregative Optimization with Users’ Feedback, in: Proceedings of Machine Learning Research, ML Research Press, «PROCEEDINGS OF MACHINE LEARNING RESEARCH», 2024, 242, pp. 1552 - 1564 (atti di: 6th Annual Learning for Dynamics and Control Conference, L4DC 2024, Oxford, 2024) [Contributo in Atti di convegno] Open Access

Ragazzi, F.; Popoli, A.; Pierotti, G.; Cristofolini, A., A quasi-2D approach for simulating corona discharges in air, in: 50th EPS Conference on Plasma Physics, EPS 2024, European Physical Society (EPS), 2024, pp. 1 - 4 (atti di: 50th EPS Conference on Plasma Physics, EPS 2024, Salamanca, Spain, 8-12/07/2024) [Contributo in Atti di convegno]

Pierotti, G.; Popoli, A.; Pintassilgo, C. D.; Ragazzi, F.; Cristofolini, A., Influence of N2 vibrational kinetics on reactive species production in a humid air volumetric DBD reactor, in: 50th EPS Conference on Plasma Physics, EPS 2024, European Physical Society (EPS), 2024, pp. 1 - 4 (atti di: 50th EPS Conference on Plasma Physics, EPS 2024, esp, 2024) [Contributo in Atti di convegno]

Ciani, Maicol; Parisi, Emanuele; Musa, Alberto; Barchi, Francesco; Bartolini, Andrea; Kulmala, Ari; Psiakis, Rafail; Garofalo, Angelo; Acquaviva, Andrea; Rossi, Davide, Unleashing OpenTitan’s Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading, «ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS», 2024, 24, pp. 1 - 29 [Articolo in rivista]

Zanatta, Luca; Barchi, Francesco; Manoni, Simone; Tolu, Silvia; Bartolini, Andrea; Acquaviva, Andrea, Exploring spiking neural networks for deep reinforcement learning in robotic tasks, «SCIENTIFIC REPORTS», 2024, 14, pp. 1 - 15 [Articolo in rivista] Open Access

Barchi, Francesco; Parisi, Emanuele; Zanatta, Luca; Bartolini, Andrea; Acquaviva, Andrea, Energy efficient and low-latency spiking neural networks on embedded microcontrollers through spiking activity tuning, «NEURAL COMPUTING & APPLICATIONS», 2024, 36, pp. 18897 - 18917 [Articolo in rivista] Open Access

Mengozzi, Sebastiano; Zanatta, Luca; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea, Towards Nano-Drones Agile Flight Using Deep Reinforcement Learning, in: 2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 6 (atti di: 2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024, gbr, 2024) [Contributo in Atti di convegno]

Musa, Alberto; Parisi, Emanuele; Barbierato, Luca; Acquaviva, Andrea; Barchi, Francesco, End-to-end Integration of OpenTitan Security Features in a Pure RISC-V SoC, in: Proceedings - 2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 4 (atti di: 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024, grc, 2024) [Contributo in Atti di convegno]

Cichetti, F.; Parisi, E.; Acquaviva, A.; Barchi, F., DeepCodeGraph: A Language Model for Compile-Time Resource Optimization Using Masked Graph Autoencoders, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 14762, pp. 470 - 484 (atti di: 29th International Conference on Natural Language and Information Systems, NLDB 2024, ita, 2024) [Contributo in Atti di convegno]

Parisi, E.; Musa, A.; Manoni, S.; Ciani, M.; Rossi, D.; Barchi, F.; Bartolini, A.; Acquaviva, A., TitanCFI: Toward Enforcing Control-Flow Integrity in the Root-of-Trust, in: Proceedings - Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., «PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION», 2024, pp. 1 - 6 (atti di: 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024, Valencia Conference Centre (VCC), esp, 2024) [Contributo in Atti di convegno]

Parisi, Emanuele; Musa, Alberto; Ciani, Maicol; Barchi, Francesco; Rossi, Davide; Bartolini, Andrea; Acquaviva, Andrea, Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips, in: Proceedings of the 21st ACM International Conference on Computing Frontiers, CF 2024, 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES, Association for Computing Machinery, Inc, 2024, pp. 172 - 179 (atti di: 21st ACM International Conference on Computing Frontiers, CF 2024, Ischia, Italy, 2024) [Contributo in Atti di convegno] Open Access

Volante, Franco; Barchi, Francesco; Patti, Edoardo; Bottaccioli, Lorenzo; Barbierato, Luca, OP-TEE powered OpenSSL Engine enhancing Digital Signature security for ARM Architectures, in: Proceedings - 2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2024, pp. 1 - 4 (atti di: 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024, grc, 2024) [Contributo in Atti di convegno]

Brand, Y. E.; Kluge, F.; Palmerini, L.; Paraschiv-Ionescu, A.; Becker, C.; Cereatti, A.; Maetzler, W.; Sharrack, B.; Vereijken, B.; Yarnall, A. J.; Rochester, L.; Del Din, S.; Muller, A.; Buchman, A. S.; Hausdorff, J. M.; Perlman, O., Self-supervised learning of wrist-worn daily living accelerometer data improves the automated detection of gait in older adults, «SCIENTIFIC REPORTS», 2024, 14, pp. 1 - 15 [Articolo in rivista] Open Access