Archivio Istituzionale della RicercaURGESE, GIANVITO
URGESE, GIANVITO
Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio
018489
A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms
2017 Bettoni, Marco; Urgese, Gianvito; Kobayashi, Yuki; Macii, Enrico; Acquaviva, Andrea
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
2019 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa
A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration
2018 Forno, Evelina; Acquaviva, Andrea; Yuki, Kobayashi; Macii, Enrico; Urgese, Gianvito
A SOA-Based Engineering Process Model for the Life Cycle Management of System-of-Systems in Industry 4.0
2022 Urgese, Gianvito; Azzoni, Paolo; van Deventer, Jan; Delsing, Jerker; Macii, Alberto; Macii, Enrico
An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms
2017 Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea
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
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles
2019 Baek, Donkyu; Chen, Yukai; Bocca, Alberto; Bottaccioli, Lorenzo; DI CATALDO, Santa; Gatteschi, Valentina; JAHIER PAGLIARI, Daniele; Patti, Edoardo; Urgese, Gianvito; Chang, Naehyuck; Macii, Alberto; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo
Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm
2019 Urgese, G.; Barchi, F.; Parisi, E.; Forno, E.; Acquaviva, A.; Macii, E.
BioSeqZip: a collapser of NGS redundant reads for the optimisation of sequence analysis
2020 Urgese, Gianvito; Parisi, Emanuele; Scicolone, Orazio; Di Cataldo, Santa; Ficarra, Elisa
Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware
2022 Müller-Cleve, Simon F; Fra, Vittorio; Khacef, Lyes; Pequeño-Zurro, Alejandro; Klepatsch, Daniel; Forno, Evelina; Ivanovich, Diego G; Rastogi, Shavika; Urgese, Gianvito; Zenke, Friedemann; Bartolozzi, Chiara
Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR
2019 Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea
Computational Methods for Bioinformatics Analysis and Neuromorphic Computing
2016 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
Data and Commands Communication Protocol for Neuromorphic Platform Configuration
2016 Siino, Alessandro; Barchi, Francesco; Davies, Sergio; Urgese, Gianvito; Acquaviva, Andrea
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
2019 Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa
DEEPrior: a deep learning tool for the prioritization of gene fusions
2020 Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa
Directed Graph Placement for SNN simulation into a multi-core GALS architecture
2018 Barchi, Francesco; Urgese, Gianvito; Acquaviva, Andrea; Macii, Enrico
Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimisation
2014 Urgese, Gianvito; Paciello, Giulia; Acquaviva, Andrea; Ficarra, Elisa; Graziano, Mariagrazia; Zamboni, Maurizio
Effective evaluation of clustering algorithms on single-cell CNA data
2020 Montemurro, Marilisa; Urgese, Gianvito; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa
Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions
2019 Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Convolutional Neural Network Fully Implemented on FPGA for Embedded Platforms / Bettoni, Marco; Urgese, Gianvito; Kobayashi, Yuki; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2017), pp. 49-52. ((Intervento presentato al convegno New Generation of Circuits and Systems NGCAS 2017 tenutosi a Genova nel 7-9 September 2017 [10.1109/NGCAS.2017.16]. | 1-gen-2017 | BETTONI, MARCOURGESE, GIANVITOMACII, EnricoACQUAVIVA, ANDREA + | Urgese_CNN_PID4938321.pdf; 08052266_post_print_editor.pdf |
| A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans / Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 20:7(2019), pp. 1-13. [10.3390/ijms20071645] | 1-gen-2019 | Lovino, MartaUrgese, GianvitoMacii, EnricoDi Cataldo, SantaFicarra, Elisa | ijms-20-01645-v2.pdf |
| A Parallel Hardware Architecture For Quantum Annealing Algorithm Acceleration / Forno, Evelina; Acquaviva, Andrea; Yuki, Kobayashi; Macii, Enrico; Urgese, Gianvito. - ELETTRONICO. - (2018). ((Intervento presentato al convegno IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018) tenutosi a Verona nel 8-10 October 2018 [10.1109/VLSI-SoC.2018.8644777]. | 1-gen-2018 | FORNO, EVELINAAndrea AcquavivaEnrico MaciiGianvito Urgese + | forno2018parallel_pre_print.pdf; 08644777_post_print_editoriale.pdf |
| A SOA-Based Engineering Process Model for the Life Cycle Management of System-of-Systems in Industry 4.0 / Urgese, Gianvito; Azzoni, Paolo; van Deventer, Jan; Delsing, Jerker; Macii, Alberto; Macii, Enrico. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 12:15(2022), p. 7730. [10.3390/app12157730] | 1-gen-2022 | Gianvito UrgeseAlberto MaciiEnrico Macii + | applsci-12-07730.pdf |
| An Efficient MPI Implementation for Multi-Core Neuromorphic Platforms / Barchi, Francesco; Urgese, Gianvito; Macii, Enrico; Acquaviva, Andrea. - ELETTRONICO. - (2017), pp. 273-276. ((Intervento presentato al convegno 2017 New Generation of CAS (NGCAS) tenutosi a Genova (IT) nel 7-9 Settembre 2017 [10.1109/NGCAS.2017.31]. | 1-gen-2017 | BARCHI, FRANCESCOURGESE, GIANVITOMACII, EnricoACQUAVIVA, ANDREA | 08052322_post_print_editor.pdf; main_pre_print.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 |
| Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles / Baek, Donkyu; Chen, Yukai; Bocca, Alberto; Bottaccioli, Lorenzo; DI CATALDO, Santa; Gatteschi, Valentina; JAHIER PAGLIARI, Daniele; Patti, Edoardo; Urgese, Gianvito; Chang, Naehyuck; Macii, Alberto; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo. - In: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. - ISSN 0018-9545. - ELETTRONICO. - 68:6(2019), pp. 5471-5482. [10.1109/TVT.2019.2910452] | 1-gen-2019 | Donkyu BaekYukai ChenAlberto BoccaLorenzo BottaccioliSanta Di CataldoValentina GatteschiDaniele Jahier PagliariEdoardo PattiGianvito UrgeseAlberto MaciiEnrico MaciiPaolo MontuschiMassimo Poncino + | TVT2019.pdf; IEEE_TVT_Battery_Aware-compresso.pdf |
| Benchmarking a many-core neuromorphic platform with an MPI-based DNA sequence matching algorithm / Urgese, G.; Barchi, F.; Parisi, E.; Forno, E.; Acquaviva, A.; Macii, E.. - In: ELECTRONICS. - ISSN 2079-9292. - 8:11(2019), p. 1342. [10.3390/electronics8111342] | 1-gen-2019 | Urgese G.Barchi F.Parisi E.Forno E.Acquaviva A.Macii E. | electronics-08-01342.pdf |
| BioSeqZip: a collapser of NGS redundant reads for the optimisation of sequence analysis / Urgese, Gianvito; Parisi, Emanuele; Scicolone, Orazio; Di Cataldo, Santa; Ficarra, Elisa. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - (2020). [10.1093/bioinformatics/btaa051] | 1-gen-2020 | Urgese, GianvitoParisi, EmanueleScicolone, OrazioDi Cataldo, SantaFicarra, Elisa | btaa051.pdf |
| Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware / Müller-Cleve, Simon F; Fra, Vittorio; Khacef, Lyes; Pequeño-Zurro, Alejandro; Klepatsch, Daniel; Forno, Evelina; Ivanovich, Diego G; Rastogi, Shavika; Urgese, Gianvito; Zenke, Friedemann; Bartolozzi, Chiara. - In: FRONTIERS IN NEUROSCIENCE. - ISSN 1662-4548. - 16:(2022). [10.3389/fnins.2022.951164] | 1-gen-2022 | Fra, VittorioForno, EvelinaUrgese, Gianvito + | fnins-16-951164.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 |
| Computational Methods for Bioinformatics Analysis and Neuromorphic Computing / Urgese, Gianvito. - (2016). | 1-gen-2016 | URGESE, GIANVITO | UrgesePhdThesis.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 |
| Data and Commands Communication Protocol for Neuromorphic Platform Configuration / Siino, Alessandro; Barchi, Francesco; Davies, Sergio; Urgese, Gianvito; Acquaviva, Andrea. - ELETTRONICO. - (2016), pp. 23-30. ((Intervento presentato al convegno 10th IEEE International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2016 tenutosi a Lione (France) nel 2016 [10.1109/MCSoC.2016.41]. | 1-gen-2016 | SIINO, ALESSANDROBARCHI, FRANCESCOURGESE, GIANVITOACQUAVIVA, ANDREA + | 07774416-MCSoC2016.pdf |
| Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology / Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 8:3(2019). [10.3390/electronics8030256] | 1-gen-2019 | Francesco PonzioGianvito UrgeseElisa FicarraSanta Di Cataldo | electronics-08-00256.pdf |
| DEEPrior: a deep learning tool for the prioritization of gene fusions / Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - (2020). [10.1093/bioinformatics/btaa069] | 1-gen-2020 | Lovino, MartaCiaburri, Maria SerenaUrgese, GianvitoDi Cataldo, SantaFicarra, Elisa | btaa069.pdf |
| Directed Graph Placement for SNN simulation into a multi-core GALS architecture / Barchi, Francesco; Urgese, Gianvito; Acquaviva, Andrea; Macii, Enrico. - ELETTRONICO. - (2018). ((Intervento presentato al convegno 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2018) tenutosi a Verona, Italy nel October 8-10, 2018 [10.1109/VLSI-SoC.2018.8644782]. | 1-gen-2018 | Francesco BarchiGianvito UrgeseAndrea AcquavivaEnrico Macii | 08644782_post_print_editor.pdf; document_pre_print.pdf |
| Dynamic Gap Selector: A Smith Waterman Sequence Alignment Algorithm with Affine Gap Model Optimisation / Urgese, Gianvito; Paciello, Giulia; Acquaviva, Andrea; Ficarra, Elisa; Graziano, Mariagrazia; Zamboni, Maurizio. - STAMPA. - 2:(2014), pp. 1347-1358. ((Intervento presentato al convegno 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2014) tenutosi a Granada nel April 7-9 2014. | 1-gen-2014 | URGESE, GIANVITOPACIELLO, GIULIAACQUAVIVA, ANDREAFICARRA, ELISAGRAZIANO, MARIAGRAZIAZAMBONI, Maurizio | IWBBIO_2014_paper_143.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 |
| Exploiting Gene Expression Profiles for the Automated Prediction of Connectivity between Brain Regions / Roberti, Ilaria; Lovino, Marta; Di Cataldo, Santa; Ficarra, Elisa; Urgese, Gianvito. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 20:8(2019). [10.3390/ijms20082035] | 1-gen-2019 | Lovino, MartaDi Cataldo, SantaFicarra, ElisaUrgese, Gianvito + | ijms-20-02035.pdf |