Alessia Pisu; Nicola Elia; Livio Pompianu; Francesco Barchi; Andrea Acquaviva; Salvatore Carta, Enhancing workplace safety: A flexible approach for personal protective equipment monitoring, «EXPERT SYSTEMS WITH APPLICATIONS», 2024, 238, Article number: 122285 , pp. 1 - 16 [Scientific article]Open Access
Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, Andrea, Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator, «NEUROCOMPUTING», 2023, 562, Article number: 126885 , pp. 1 - 12 [Scientific article]Open Access
Borghesi, Andrea; Di Santi, Carmine; Molan, Martin; Ardebili, Mohsen Seyedkazemi; Mauri, Alessio; Guarrasi, Massimiliano; Galetti, Daniela; Cestari, Mirko; Barchi, Francesco; Benini, Luca; Beneventi, Francesco; Bartolini, Andrea, M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer, «SCIENTIFIC DATA», 2023, 10, Article number: 288 , pp. 1 - 10 [Scientific article]Open Access
Fornaciari, William; Reghenzani, Federico; Agosta, Giovanni; Zoni, Davide; Galimberti, Andrea; Conti, Francesco; Tortorella, Yvan; Parisi, Emanuele; Barchi, Francesco; Bartolini, Andrea; Acquaviva, Andrea; Gregori, Daniele; Cognetta, Salvatore; Ciancarelli, Carlo; Leboffe, Antonio; Serri, Paolo; Burrello, Alessio; Pagliari, Daniele Jahier; Urgese, Gianvito; Martina, Maurizio; Masera, Guido; Di Carlo, Rosario; Sciarappa, Antonio, RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project, in: Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2023. Lecture Notes in Computer Science, 2023, 14385, pp. 363 - 378 (atti di: SAMOS 2023, Samos, Greece, 2023) [Contribution to conference proceedings]
Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A., RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor, in: OpenAccess Series in Informatics, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2023, 107, pp. 1 - 12 (atti di: 14th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 12th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2023, francia, 2023) [Contribution to conference proceedings]
MOALLEMI, AMIRHOSSEIN; ZANATTA, LUCA; BURRELLO, ALESSIO; SALVARO, MATTIA; LONGO, MONICA; DARO, PAOLA; BARCHI, FRANCESCO; BRUNELLI, DAVIDE; BENINI, LUCA; ACQUAVIVA, ANDREA, UNSUPERVISED VEHICLE CLASSIFICATION USING A STRUCTURAL HEALTH MONITORING SYSTEM, in: STRUCTURAL HEALTH MONITORING 2023, 2023, pp. 1069 - 1076 (atti di: 14th international workshop on structural health monitoring, Stanford, California, 12-14th of September 2023) [Contribution to conference proceedings]
Alberto Musa, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, A Method for Accelerated Simulations of Reinforcement Learning Tasks of UAVs in AirSim, in: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, OTH Regensburg, Frank Herrmann, 2022, pp. 46 - 53 (atti di: SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation, Lisbon, Portugal, from October 16, 2022 to October 20, 2022) [Contribution to conference proceedings]
Zanatta L.; Barchi F.; Bartolini A.; Acquaviva A., Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 199 - 200 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contribution to conference proceedings]
Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers, in: Proceedings of the 2022 IEEE 35th International System-on-Chip Conference (SOCC), 2022, 2022-September, pp. 1 - 6 (atti di: 2022 IEEE 35th International System-on-Chip Conference (SOCC), Belfast, 05/09/2022) [Contribution to conference proceedings]Open Access
Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L., Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters, in: ACM International Conference Proceeding Series, Association for Computing Machinery, 2022, pp. 207 - 208 (atti di: 19th ACM International Conference on Computing Frontiers, CF 2022, Castello del Valentino, ita, 2022) [Contribution to conference proceedings]
Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva, Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications, in: Advances in Databases and Information Systems: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, 2022, 13389 LNCS, pp. 377 - 391 (atti di: 26th European Conference, ADBIS 2022, Turin, Italy, September 5–8, 2022, Proceedings, Politecnico di Torino, 6/9/2022) [Contribution to conference proceedings]
Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A., Damage detection in structural health monitoring with spiking neural networks, in: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021 - Proceedings, New York, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 105 - 110 (atti di: 2021 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2021, Virtual Conference, 2021) [Contribution to conference proceedings]
Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A., Exploration of Convolutional Neural Network models for source code classification, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2021, 97, Article number: 104075 , pp. 104075 - 104085 [Scientific article]
Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping, «IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS», 2021, 41, Article number: 9544064 , pp. 1 - 12 [Scientific article]Open Access
Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A., Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers, in: 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Los Alamitos, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 878 - 883 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Grenoble, FR, 2021) [Contribution to conference proceedings]Open Access
