BARCHI, FRANCESCO
BARCHI, FRANCESCO
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Ricercatori a tempo determinato
AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks
2024 Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio, Giuseppe; Acquaviva, Andrea
Enhancing workplace safety: A flexible approach for personal protective equipment monitoring
2024 Alessia Pisu; Nicola Elia; Livio Pompianu; Francesco Barchi; Andrea Acquaviva; Salvatore Carta
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle
2024 Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting
2024 Negri, Virginia; Zanella, Samuel; Mingotti, Alessandro; Tinarelli, Roberto; Peretto, Lorenzo; Barchi, Francesco; Acquaviva, Andrea
Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator
2023 Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, Andrea
M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer
2023 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
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
2023 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
RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor
2023 Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A.
UNSUPERVISED VEHICLE CLASSIFICATION USING A STRUCTURAL HEALTH MONITORING SYSTEM
2023 MOALLEMI, AMIRHOSSEIN; ZANATTA, LUCA; BURRELLO, ALESSIO; SALVARO, MATTIA; LONGO, MONICA; DARO, PAOLA; BARCHI, FRANCESCO; BRUNELLI, DAVIDE; BENINI, LUCA; ACQUAVIVA, ANDREA
A Method for Accelerated Simulations of Reinforcement Learning Tasks of UAVs in AirSim
2022 Alberto Musa, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance
2022 Zanatta L.; Barchi F.; Bartolini A.; Acquaviva A.
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers
2022 Bartolini A.; Ficarelli F.; 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
2022 Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L.
Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications
2022 Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini; Andrea Acquaviva
Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring
2022 Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A
Damage detection in structural health monitoring with spiking neural networks
2021 Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A.
Exploration of Convolutional Neural Network models for source code classification
2021 Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A.
Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping
2021 Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva
Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers
2021 Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A.
Spiking neural network-based near-sensor computing for damage detection in structural health monitoring
2021 Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks | Jati, Grafika; Molan, Martin; Khan, Junaid Ahmed; Barchi, Francesco; Bartolini, Andrea; Mercurio..., Giuseppe; Acquaviva, Andrea | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Enhancing workplace safety: A flexible approach for personal protective equipment monitoring | Alessia Pisu; Nicola Elia; Livio Pompianu; Francesco Barchi; Andrea Acquaviva; Salvatore Carta | 2024-01-01 | EXPERT SYSTEMS WITH APPLICATIONS | - | 1.01 Articolo in rivista | 1-s2.0-S0957417423027872-main.pdf |
| TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle | Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Towards the DT of an Educational Building: An AI-Based Distributed Measurement System for the Power Forecasting | Negri, Virginia; Zanella, Samuel; Mingotti, Alessandro; Tinarelli, Roberto; Peretto, Lorenzo; Bar...chi, Francesco; Acquaviva, Andrea | 2024-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator | Zanatta, Luca; Di Mauro, Alfio; Barchi, Francesco; Bartolini, Andrea; Benini, Luca; Acquaviva, An...drea | 2023-01-01 | NEUROCOMPUTING | - | 1.01 Articolo in rivista | Directly trained Spiking Neural Networks for Deep Reinforcement Learning Energy efficient implementation of event based obstacle avoidance on a neuromorphic accelerator.pdf |
| M100 ExaData: a data collection campaign on the CINECA's Marconi100 Tier-0 supercomputer | 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 | 2023-01-01 | SCIENTIFIC DATA | - | 1.01 Articolo in rivista | versione_editoriale.pdf |
| RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project | Fornaciari, William; Reghenzani, Federico; Agosta, Giovanni; Zoni, Davide; Galimberti, Andrea; Co...nti, 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 | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| RUST-Encoded Stream Ciphers on a RISC-V Parallel Ultra-Low-Power Processor | Barchi F.; Pasini G.; Parisi E.; Tagliavini G.; Bartolini A.; Acquaviva A. | 2023-01-01 | - | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing | 4.01 Contributo in Atti di convegno | - |
| UNSUPERVISED VEHICLE CLASSIFICATION USING A STRUCTURAL HEALTH MONITORING SYSTEM | MOALLEMI, AMIRHOSSEIN; ZANATTA, LUCA; BURRELLO, ALESSIO; SALVARO, MATTIA; LONGO, MONICA; DARO, PA...OLA; BARCHI, FRANCESCO; BRUNELLI, DAVIDE; BENINI, LUCA; ACQUAVIVA, ANDREA | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| A Method for Accelerated Simulations of Reinforcement Learning Tasks of UAVs in AirSim | Alberto Musa, Luca Zanatta, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2022-01-01 | - | Frank Herrmann | 4.01 Contributo in Atti di convegno | - |
| Artificial versus spiking neural networks for reinforcement learning in UAV obstacle avoidance | Zanatta L.; Barchi F.; Bartolini A.; Acquaviva A. | 2022-01-01 | - | Association for Computing Machinery | 4.01 Contributo in Atti di convegno | - |
| Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers | Bartolini A.; Ficarelli F.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala... M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | monte cimone post print.pdf |
| Poster: Meet Monte Cimone: Exploring RISC-V High Performance Compute Clusters | Ficarelli F.; Bartolini A.; Parisi E.; Beneventi F.; Barchi F.; Gregori D.; Magugliani F.; Cicala... M.; Gianfreda C.; Cesarini D.; Acquaviva A.; Benini L. | 2022-01-01 | - | Association for Computing Machinery | 4.01 Contributo in Atti di convegno | - |
| Smart Contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications | Nicola Elia; Francesco Barchi; Emanuele Parisi; Livio Pompianu; Salvatore Carta; Andrea Bartolini...; Andrea Acquaviva | 2022-01-01 | - | SPRINGER INTERNATIONAL PUBLISHING AG | 4.01 Contributo in Atti di convegno | - |
| Time and Frequency Domain Assessment of Low-Power MEMS Accelerometers for Structural Health Monitoring | Parisi, E; Moallemi, A; Barchi, F; Bartolini, A; Brunelli, D; Buratti, N; Acquaviva, A | 2022-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | 2022_MetroInd.pdf |
| Damage detection in structural health monitoring with spiking neural networks | Zanatta L.; Barchi F.; Burrello A.; Bartolini A.; Brunelli D.; Acquaviva A. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| Exploration of Convolutional Neural Network models for source code classification | Barchi F.; Parisi E.; Urgese G.; Ficarra E.; Acquaviva A. | 2021-01-01 | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | - | 1.01 Articolo in rivista | - |
| Making the Most of Scarce Input Data in Deep Learning-based Source Code Classification for Heterogeneous Device Mapping | Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva | 2021-01-01 | IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | making the most post print.pdf |
| Source Code Classification for Energy Efficiency in Parallel Ultra Low-Power Microcontrollers | Parisi E.; Barchi F.; Bartolini A.; Tagliavini G.; Acquaviva A. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | p2021_source_code_classification.pdf |
| Spiking neural network-based near-sensor computing for damage detection in structural health monitoring | Barchi F.; Zanatta L.; Parisi E.; Burrello A.; Brunelli D.; Bartolini A.; Acquaviva A. | 2021-01-01 | FUTURE INTERNET | - | 1.01 Articolo in rivista | 2021_spiking_neural_network.pdf |