MACII, Enrico

MACII, Enrico  

Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio  

002042  

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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 -
Draft & Refine: Efficient Resource Management in Federated Learning under Pathological Labels Skew / Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico. - (In corso di stampa). (Intervento presentato al convegno International Conference on Electronics Circuits and Systems (ICECS) 2024). In corso di stampa Malan, ErichPeluso, ValentinoCalimera, AndreaMacii, Enrico -
Efficient solution validation of constraint satisfaction problems on neuromorphic hardware: the case of Sudoku puzzles / Pignari, Riccardo; Fra, Vittorio; Macii, Enrico; Urgese, Gianvito. - In: IEEE TRANSACTIONS ON ARTIFICIAL INTELLIGENCE. - ISSN 2691-4581. - ELETTRONICO. - (In corso di stampa). In corso di stampa Riccardo PignariVittorio FraEnrico MaciiGianvito Urgese IEEEI_SNN_CSOP.pdf
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 -
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables / Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - (In corso di stampa). (Intervento presentato al convegno Biomedical Circuits and Systems Conference (BIOCAS)). In corso di stampa Alessio BurrelloGiovanni PolloMassimo PoncinoEnrico MaciiLuca BeniniDaniele Jahier Pagliari + PPG_BP_BioCAS2024.pdf
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones / Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024). In corso di stampa Matteo RissoFrancesco DagheroBeatrice Alessandra MotettiDaniele Jahier PagliariEnrico MaciiMassimo PoncinoAlessio Burrello 2402.15273v1.pdf
Private Tensor Freezing for an Efficient Federated Learning with Homomorphic Encryption / Peluso, Valentino; Malan, Erich; Calimera, Andrea; Macii, Enrico. - (In corso di stampa). (Intervento presentato al convegno International Conference on Computer Design (ICCD) 2024). In corso di stampa Peluso, ValentinoMalan, ErichCalimera, AndreaMacii, Enrico -
A comparative analysis of Machine Learning Techniques for short-term grid power forecasting and uncertainty analysis of Wave Energy Converters / FONTANA CRESPO, RAFAEL NATALIO; Aliberti, Alessandro; Bottaccioli, Lorenzo; Pasta, Edoardo; Sirigu, SERGEJ ANTONELLO; Macii, Enrico; Mattiazzo, Giuliana; Patti, Edoardo. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - 138, Part A:(2024). [10.1016/j.engappai.2024.109352] 1-gen-2024 Rafael Natalio Fontana CrespoAlessandro AlibertiLorenzo BottaccioliEdoardo PastaSergej Antonello SiriguEnrico MaciiGiuliana MattiazzoEdoardo Patti 1-s2.0-S0952197624015100-main.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
An AI-Enabled Framework for Smart Semiconductor Manufacturing / Alamin, KHALED SIDAHMED SIDAHMED; Appello, Davide; Beghi, Alessandro; Dall’Ora, Nicola; Depaoli, Fabio; DI CATALDO, Santa; Fummi, Franco; Gaiardelli, Sebastiano; Lora, Michele; Macii, Enrico; Mascolini, Alessio; Pagano, Daniele; Ponzio, Francesco; Antonio Susto, Gian; Vinco, Sara. - ELETTRONICO. - (2024). (Intervento presentato al convegno Design, Automation and Test in Europe Conference (DATE 2024) tenutosi a Valencia (Spain) nel 25 - 27 March 2024). 1-gen-2024 Khaled Sidahmed Sidahmed AlaminFabio DepaoliSanta Di CataldoEnrico MaciiAlessio MascoliniFrancesco PonzioSara Vinco + 2023_DATE_MPPj_SMART_IC (3).pdfAn_AI-Enabled_Framework_for_Smart_Semiconductor_Manufacturing.pdf
Automatic Layer Freezing for Communication Efficiency in Cross-Device Federated Learning / Malan, Erich; Peluso, Valentino; Calimera, Andrea; Macii, Enrico; Montuschi, Paolo. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 11:4(2024), pp. 6072-6083. [10.1109/JIOT.2023.3309691] 1-gen-2024 Malan, ErichPeluso, ValentinoCalimera, AndreaMacii, EnricoMontuschi, Paolo Automatic_Layer_Freezing_for_Communication_Efficiency_in_Cross-Device_Federated_Learning.pdfAutomatic_Layer_Freezing_for_Communication_Efficiency_in_Cross-Device_Federated_Learning.pdf
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes / Daghero, Francesco; Burrello, Alessio; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 11:1(2024), pp. 742-757. [10.1109/JIOT.2023.3286276] 1-gen-2024 Francesco DagheroAlessio BurrelloEnrico MaciiPaolo MontuschiMassimo PoncinoDaniele Jahier Pagliari dynamic_decision_tree_ensembles_for_energy_efficient_inference_on_iot_edge_nodes_post-print.pdfDynamic_Decision_Tree_Ensembles_for_Energy-Efficient_Inference_on_IoT_Edge_Nodes.pdf
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices / Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING. - ISSN 2168-6750. - ELETTRONICO. - 12:3(2024), pp. 780-794. [10.1109/TETC.2023.3322033] 1-gen-2024 Alessio BurrelloMatteo RissoBeatrice Alessandra MotettiEnrico MaciiLuca BeniniDaniele Jahier Pagliari Journal___Multi_Loss__arxiv_.pdfEnhancing_Neural_Architecture_Search_with_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdfEnhancing_Neural_Architecture_Search_With_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays / Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). 1-gen-2024 Risso M.Xie C.Daghero F.Burrello A.Mollaei S.MacIi E.Poncino M.Daniele Jahier Pagliari + HW-SW_Optimization_of_DNNs_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.pdf2402.01226v1.pdf
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices / Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 51-54. (Intervento presentato al convegno Computing Frontiers Open-Source Hardware Workshop tenutosi a Ischia (ITA) nel May 7 - 9, 2024) [10.1145/3637543.3652873]. 1-gen-2024 Mohamed Amine HamdiGiovanni PolloMatteo RissoAlessio BurrelloEnrico MaciiMassimo PoncinoSara VincoDaniele Jahier Pagliari + 2404.01861.pdf3637543.3652873.pdf
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks / Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 73:11(2024), pp. 2619-2633. [10.1109/tc.2024.3449084] 1-gen-2024 Motetti, Beatrice AlessandraRisso, MatteoBurrello, AlessioMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele Arxiv_Joint_Pruning_and_Channel-wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdfJoint_Pruning_and_Channel-Wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf
Model-Driven Feature Engineering for Data-Driven Battery SOH Model / Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo. - STAMPA. - (2024). (Intervento presentato al convegno Design, Automation and Test in Europe Conference 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). 1-gen-2024 Khaled AlaminDaniele Jahier PagliariYukai ChenEnrico MaciiSara VincoMassimo Poncino Model-Driven_Feature_Engineering.pdfModel-Driven_Feature_Engineering_for_Data-Driven_Battery_SOH_Model.pdf