URGESE, GIANVITO
URGESE, GIANVITO
Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio
018489
Constraint Satisfaction Problems solution through Spiking Neural Networks with improved reliability: the case of Sudoku puzzles
In corso di stampa Pignari, Riccardo; Fra, Vittorio; Forno, Evelina; Macii, Enrico; Urgese, Gianvito
Exploring Spiking Neuron Model behaviours through the Analysis of Parameter Space
In corso di stampa Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
Heterogeneous SoC integrating an open-source recurrent SNN accelerator for neuromorphic edge computing on FPGA
In corso di stampa Barocci, Michelangelo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
Neu-BrAuER: a neuromorphic Braille letters audio-reader for commercial edge devices
In corso di stampa Fra, Vittorio; Pignata, Andrea; Pignari, Riccardo; Macii, Enrico; Urgese, Gianvito
Neuromorphic Human Activity Recognition through LIF-based neurons
In corso di stampa Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
An Ensemble Method for Calling and Ranking Somatic Structural Variants Using Long and Short Reads
2025 GALLEGO GOMEZ, Walter; Grassi, Elena; Bertotti, Andrea; Urgese, Gianvito
A Time-synchronized Framework for Bluetooth Low Energy Wireless Sensor Networks
2024 Pignata, Andrea; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices
2024 Fra, Vittorio; Leto, Benedetto; Pignata, Andrea; Macii, Enrico; Urgese, Gianvito
First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem
2023 Gallego Gomez, Walter; Pignata, Andrea; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform
2023 Barocci, Michelangelo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
2023 Fornaciari, W.; Reghenzani, F.; Agosta, G.; Zoni, D.; Galimberti, A.; Conti, F.; Tortorella, Y.; Parisi, E.; Barchi, F.; Bartolini, A.; Acquaviva, A.; Gregori, D.; Cognetta, S.; Ciancarelli, C.; Leboffe, A.; Serri, P.; Burrello, A.; Jahier Pagliari, D.; Urgese, G.; Martina, M.; Masera, G.; Di Carlo, R.; Sciarappa, A.
Smart Traffic Light Control on Edge in IOT-Regulated Intersections
2022 Forno, Evelina; Fra, Vittorio; Arisoy, Mert Dogan; Zhou, Chenghan; Ferraris, Andrea Sergio; Macii, Enrico; Urgese, Gianvito
Configuring an Embedded Neuromorphic coprocessor using a RISC-V chip for enabling edge computing applications
2021 Forno, Evelina; Spitale, Andrea; Macii, Enrico; Urgese, Gianvito
Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems?
2021 Kulcsár, Géza; Varga, Pál; Tatara, Marek S.; Montori, Federico; Iñigo, Michel A.; Urgese, Gianvito; Azzoni, Paolo
An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0
2020 Urgese, Gianvito; Azzoni, Paolo; van Deventer, Jan; Delsing, Jerker; Macii, Enrico
Effective evaluation of clustering algorithms on single-cell CNA data
2020 Montemurro, Marilisa; Urgese, Gianvito; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa
Techniques for improving localization applications running on low-cost IoT devices
2020 Forno, Evelina; Moio, Simone; Schenatti, Michael; Macii, Enrico; Urgese, Gianvito
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR
2019 Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis
2019 Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea
Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis
2019 Montemurro, Marilisa; Grassi, Elena; Urgese, Gianvito; Gabriele Pizzino, Carmelo; Bertotti, Andrea; Ficarra, Elisa
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
Constraint Satisfaction Problems solution through Spiking Neural Networks with improved reliability: the case of Sudoku puzzles / Pignari, Riccardo; Fra, Vittorio; Forno, Evelina; Macii, Enrico; Urgese, Gianvito. - (In corso di stampa). (Intervento presentato al convegno Brain-inspired computing workshop tenutosi a Modena nel 8-9.06.2023). | In corso di stampa | Pignari RiccardoFra VittorioForno EvelinaMacii EnricoUrgese Gianvito | - |
Exploring Spiking Neuron Model behaviours through the Analysis of Parameter Space / Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno ECML PKDD 2024 - "Deep Learning meets Neuromorphic Hardware" workshop tenutosi a Vilnius nel 09/09/2024 - 14/09/2024). | In corso di stampa | Riccardo PignariVittorio FraEnrico MaciiGianvito Urgese | ECML_PKDD_2024_Neuron_maps.pdf |
Heterogeneous SoC integrating an open-source recurrent SNN accelerator for neuromorphic edge computing on FPGA / Barocci, Michelangelo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - (In corso di stampa). (Intervento presentato al convegno ECML PKDD 2024 - "Deep Learning meets Neuromorphic Hardware" workshop tenutosi a Vilnius (Lituania) nel 09/09/2024 - 14/09/2024). | In corso di stampa | Barocci,MichelangeloFra,VittorioMacii,EnricoUrgese,Gianvito | ECML-PKDD_2024_Heterogeneous_SoC.pdf |
Neu-BrAuER: a neuromorphic Braille letters audio-reader for commercial edge devices / Fra, Vittorio; Pignata, Andrea; Pignari, Riccardo; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - V:(In corso di stampa). (Intervento presentato al convegno ECML PKDD 2023 - "Deep learning meets neuromorphic hardware" workshop tenutosi a Torino nel 18-22.09.2023). | In corso di stampa | Fra VittorioPignata AndreaPignari RiccardoMacii EnricoUrgese Gianvito | - |
Neuromorphic Human Activity Recognition through LIF-based neurons / Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - (In corso di stampa). (Intervento presentato al convegno Brain-inspired computing workshop tenutosi a Modena nel 8-9.06.2023). | In corso di stampa | Fra VittorioMacii EnricoUrgese Gianvito | - |
An Ensemble Method for Calling and Ranking Somatic Structural Variants Using Long and Short Reads / GALLEGO GOMEZ, Walter; Grassi, Elena; Bertotti, Andrea; Urgese, Gianvito. - ELETTRONICO. - (2025), pp. 62-69. (Intervento presentato al convegno The 11th International Conference on Bioinformatics Research and Applications (ICBRA 2024) tenutosi a Milan (ITA) nel September 13-15, 2024) [10.1145/3700666.3700694]. | 1-gen-2025 | Walter Gallego GomezGianvito Urgese + | 3700666.3700694.pdf |
A Time-synchronized Framework for Bluetooth Low Energy Wireless Sensor Networks / Pignata, Andrea; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2024). (Intervento presentato al convegno 18th IEEE International Conference Application of Information and Communication Technologies tenutosi a Turin (IT) nel 25-27 September 2024) [10.1109/AICT61888.2024.10740423]. | 1-gen-2024 | Pignata,AndreaFra, VittorioMacii, EnricoUrgese, Gianvito | A_Time-synchronized_Framework_for_Bluetooth_Low_Energy_Wireless_Sensor_Networks.pdf |
Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices / Fra, Vittorio; Leto, Benedetto; Pignata, Andrea; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - 15025:(2024), pp. 377-391. (Intervento presentato al convegno 33 rd International Conference on Artificial Neural Networks tenutosi a Lugano (CH) nel September 17–20, 2024) [10.1007/978-3-031-72359-9_28]. | 1-gen-2024 | Fra, VittorioLeto, BenedettoPignata, AndreaMacii, EnricoUrgese, Gianvito | 978-3-031-72359-9_28.pdf |
First steps towards micro-benchmarking the Lava-Loihi neuromorphic ecosystem / Gallego Gomez, Walter; Pignata, Andrea; Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2023), pp. 462-469. (Intervento presentato al convegno 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023) tenutosi a Singapore nel December 18-21, 2023) [10.1109/MCSoC60832.2023.00075]. | 1-gen-2023 | Gallego Gomez, WalterPignata, AndreaPignari, RiccardoFra, VittorioMacii, EnricoUrgese, Gianvito | First_steps_towards_micro-benchmarking_the_Lava-Loihi_neuromorphic_ecosystem_final.pdf; First_steps_towards_micro-benchmarking_the_Lava-Loihi_neuromorphic_ecosystem.pdf |
Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform / Barocci, Michelangelo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2023), pp. 470-477. (Intervento presentato al convegno 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023) tenutosi a Singapore nel December 18-21, 2023) [10.1109/MCSoC60832.2023.00076]. | 1-gen-2023 | Barocci, MichelangeloFra, VittorioMacii, EnricoUrgese, Gianvito | Review of open neuromorphic architectures and a first integration in the RISC-V PULP platform.pdf; Review_of_open_neuromorphic_architectures_and_a_first_integration_in_the_RISC-V_PULP_platform.pdf |
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project / Fornaciari, W.; Reghenzani, F.; Agosta, G.; Zoni, D.; Galimberti, A.; Conti, F.; Tortorella, Y.; Parisi, E.; Barchi, F.; Bartolini, A.; Acquaviva, A.; Gregori, D.; Cognetta, S.; Ciancarelli, C.; Leboffe, A.; Serri, P.; Burrello, A.; Jahier Pagliari, D.; Urgese, G.; Martina, M.; Masera, G.; Di Carlo, R.; Sciarappa, A.. - 14385:(2023), pp. 363-378. (Intervento presentato al convegno 23rd International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2023 tenutosi a Samos (GRC) nel July 2–6, 2023) [10.1007/978-3-031-46077-7_24]. | 1-gen-2023 | Burrello A.Jahier Pagliari D.Urgese G.Martina M.Masera G.Sciarappa A. + | SAMOS+2023+paper+ISOLDEpdf.pdf |
Smart Traffic Light Control on Edge in IOT-Regulated Intersections / Forno, Evelina; Fra, Vittorio; Arisoy, Mert Dogan; Zhou, Chenghan; Ferraris, Andrea Sergio; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2022), pp. 23-28. (Intervento presentato al convegno IASTEM 1334th International Conference on Recent Advances in Engineering and Technology tenutosi a Los Angeles (USA) nel 18th - 19th July 2022). | 1-gen-2022 | Forno, EvelinaFra, VittorioMacii, EnricoUrgese, Gianvito + | 5085-166236301623-28.pdf |
Configuring an Embedded Neuromorphic coprocessor using a RISC-V chip for enabling edge computing applications / Forno, Evelina; Spitale, Andrea; Macii, Enrico; Urgese, Gianvito. - (2021), pp. 328-332. (Intervento presentato al convegno IEEE 14th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2021) nel 20-23 Dec. 2021) [10.1109/MCSoC51149.2021.00055]. | 1-gen-2021 | Forno, EvelinaSpitale, AndreaMacii, EnricoUrgese, Gianvito | Configuring_an_Embedded_Neuromorphic_Coprocessor_Using_a_RISC-V_Chip_for_Enabling_Edge_Computing_Applications.pdf |
Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems? / Kulcsár, Géza; Varga, Pál; Tatara, Marek S.; Montori, Federico; Iñigo, Michel A.; Urgese, Gianvito; Azzoni, Paolo. - ELETTRONICO. - (2021), pp. 896-901. (Intervento presentato al convegno 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) tenutosi a Bordeaux, France nel 17-21 May 2021). | 1-gen-2021 | Urgese, Gianvito + | 213217_pre_print.pdf; 213217_1_camera_ready.pdf; Modeling_an_Industrial_Revolution_How_to_Manage_Large-Scale_Complex_IoT_Ecosystems.pdf |
An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0 / Urgese, Gianvito; Azzoni, Paolo; van Deventer, Jan; Delsing, Jerker; Macii, Enrico. - ELETTRONICO. - (2020). (Intervento presentato al convegno Workshop on Management for Industry 4.0 at IEEE NOMS 2020 tenutosi a Budapest nel 20-24 April 2020) [10.1109/NOMS47738.2020.9110365]. | 1-gen-2020 | Gianvito UrgeseEnrico Macii + | AHT_EP_Urgese.pdf; 09110365_post_print.pdf |
Effective evaluation of clustering algorithms on single-cell CNA data / Montemurro, Marilisa; Urgese, Gianvito; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa. - ELETTRONICO. - (2020). (Intervento presentato al convegno ICBBE 2020 - 7th International Conference on Biomedical and Bioinformatics Engineering tenutosi a Kyoto nel 06-09 novembre 2020) [10.1145/3444884.3444886]. | 1-gen-2020 | Montemurro, MarilisaUrgese, GianvitoFicarra, Elisa + | ICBBE2020.pdf |
Techniques for improving localization applications running on low-cost IoT devices / Forno, Evelina; Moio, Simone; Schenatti, Michael; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2020). (Intervento presentato al convegno 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive tenutosi a Milan nel 18-20 November, 2020) [10.23919/AEITAUTOMOTIVE50086.2020.9307411]. | 1-gen-2020 | Forno, EvelinaMacii, EnricoUrgese, Gianvito + | 1570665139.pdf; 09307411.pdf |
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2019). (Intervento presentato al convegno In 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC) tenutosi a Las Vegas USA nel 2-6 June 2019) [10.1145/3316781.3317789]. | 1-gen-2019 | Francesco BarchiGianvito UrgeseEnrico MaciiAndrea Acquaviva | 08806950_post_print_editor.pdf; document_post_print.pdf |
Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2019), pp. 167-186. (Intervento presentato al convegno 26th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018, Verona, Italy, October 8–10, 2018) [10.1007/978-3-030-23425-6_9]. | 1-gen-2019 | Francesco BarchiGianvito UrgeseEnrico MaciiAndrea Acquaviva | barchi2019mapping_post_print_editor.pdf; barchi2019mapping_pre_print.pdf |
Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis / Montemurro, Marilisa; Grassi, Elena; Urgese, Gianvito; Gabriele Pizzino, Carmelo; Bertotti, Andrea; Ficarra, Elisa. - ELETTRONICO. - (2019). (Intervento presentato al convegno ACM Celebration of Women in Computing: womENcourage 2019 tenutosi a Roma nel 16-18 September 2019). | 1-gen-2019 | Marilisa MontemurroGianvito UrgeseElisa Ficarra + | womENcourage_2019_paper_70.pdf |