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JAHIER PAGLIARI, DANIELE

JAHIER PAGLIARI, DANIELE  

Dipartimento di Automatica e Informatica  

035148  

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MATCH: Model-Aware TVM-Based Compilation for Heterogeneous Edge Devices / Hamdi, MOHAMED AMINE; Daghero, Francesco; Maria Sarda, Giuseppe; Van Delm, Josse; Symons, Arne; Benini, Luca; Verhelst, Marian; JAHIER PAGLIARI, Daniele; Burrello, Alessio. - In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS. - ISSN 0278-0070. - ELETTRONICO. - (In corso di stampa). [10.1109/TCAD.2025.3556967] In corso di stampa Mohamed Amine HamdiFrancesco DagheroLuca BeniniDaniele Jahier PagliariAlessio Burrello + MATCH_TCAD_final.pdf
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices / Daghero, Francesco; Burrello, Alessio; Poncino, Massimo; Macii, Enrico; Jahier Pagliari, Daniele. - STAMPA. - (2025), pp. 46-58. (Intervento presentato al convegno 24nd International Conference, SAMOS 2024 tenutosi a Samos, Greece nel 29/06/2024-4/07/2024) [10.1007/978-3-031-78377-7_4]. 1-gen-2025 Daghero, FrancescoBurrello, AlessioPoncino, MassimoMacii, EnricoJahier Pagliari, Daniele -
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data / Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste Bove, Jean; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele; Maffeis, Giuseppe. - ELETTRONICO. - (2025). (Intervento presentato al convegno International Conference on Image Processing, Applications and Systems (IPAS) tenutosi a Lyon (FRA) nel 09-11 January 2025) [10.1109/IPAS63548.2025.10924534]. 1-gen-2025 Matteo RissoBeatrice Alessandra MotettiAlessio BurrelloEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + Building_Damage_Assessment_in_Conflict_Zones_A_Deep_Learning_Approach_Using_Geospatial_Sub-Meter_Resolution_Data.pdf; 2410.04802v1.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. - 32:(2025), pp. 304-309. (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024) [10.1007/978-3-031-76424-0_54]. 1-gen-2025 Matteo RissoFrancesco DagheroBeatrice Alessandra MotettiDaniele Jahier PagliariEnrico MaciiMassimo PoncinoAlessio Burrello 2402.15273v1.pdf
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time / Risso, M.; Burrello, A.; Jahier Pagliari, D.. - In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS. - ISSN 0278-0070. - ELETTRONICO. - (2025). [10.1109/TCAD.2025.3543715] 1-gen-2025 M. RissoA. BurrelloD. Jahier Pagliari Optimizing_DNN_Inference_on_Multi-Accelerator_SoCs_at_Training-time.pdf; 2409.18566v2.pdf
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones / Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference, 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024) [10.23919/DATE58400.2024.10546577]. 1-gen-2024 Motetti, Beatrice AlessandraRisso, MatteoJahier Pagliari, DanieleBurrello, Alessio + Arxiv_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf; IEEE_Xplore_Adaptive_Deep_Learning_for_Efficient_Visual_Pose_Estimation_Aboard_Ultra-Low-Power_Nano-Drones.pdf
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques / Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.. - 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 Daghero F.Jahier Pagliari D.Risso M.Xie C. + AMBEATion_Analog_Mixed-Signal_Back-End_Design_Automation_with_Machine_Learning_and_Artificial_Intelligence_Techniques.pdf; AMBEATion___DATE_MPP.pdf
AMBEATion: New Algorithm for Generation IC Matched Structures with Respecting Linear and Non-linear Gradient Parameter Effects / Barri, Dalibor; Vacula, Patrik; Kotě, Vlastimil; Nemazal, Jan; Vacula, Miloš; Pagliari, Daniele Jahier; Daghero, Francesco; Risso, Matteo; Xie, Chen; Grosso, Michelangelo. - ELETTRONICO. - (2024), pp. 1-4. (Intervento presentato al convegno 29th International Conference on Applied Electronics, AE 2024 tenutosi a Pilsen (CZ) nel 4-5 October 2024) [10.1109/ae61743.2024.10710229]. 1-gen-2024 Pagliari, Daniele JahierDaghero, FrancescoRisso, Matteo + -
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring / Benfenati, Luca; Mar Ingolfsson, Thorir; Cossettini, Andrea; Jahier Pagliari, Daniele; Burrello, Alessio; Benini, Luca. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) tenutosi a Orlando (USA) nel 15-19 July 2024) [10.1109/EMBC53108.2024.10782289]. 1-gen-2024 Benfenati,LucaJahier Pagliari,DanieleBurrello,AlessioBenini,Luca + Transformer_Seizure_Detection____EMBC_2024_IRIS.pdf; BISeizuRe_BERT-Inspired_Seizure_Data_Representation_to_Improve_Epilepsy_Monitoring.pdf
Black-Boxing GNSS Signals Post-Processing Through Machine Learning for Multi-Agent Collaborative Positioning of IoT Devices / Minetto, Alex; Jahier-Pagliari, Daniele; Rotunno, Angela. - ELETTRONICO. - (2024), pp. 589-603. (Intervento presentato al convegno 2024 International Technical Meeting of The Institute of Navigation tenutosi a Long Beach, California (USA) nel January 23 - 25, 2024) [10.33012/2024.19566]. 1-gen-2024 Minetto, AlexJahier-Pagliari, DanieleRotunno, Angela ITM24-0047.pdf.pdf; ION_s_ITM_2024_ML_for_cooperative_Minetto_Jahier_Rotunno_v1.pdf
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization / Ruggeri, Giuseppe; Andri, Renzo; Pagliari, Daniele Jahier; Cavigelli, Lukas. - ELETTRONICO. - (2024), pp. 517-520. (Intervento presentato al convegno 2024 IEEE 42nd International Conference on Computer Design (ICCD) tenutosi a Milano (Italia) nel 18-20 November 2024) [10.1109/iccd63220.2024.00085]. 1-gen-2024 Ruggeri, GiuseppePagliari, Daniele Jahier + Deep_Recommender_Models_Inference_Automatic_Asymmetric_Data_Flow_Optimization.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.pdf; Dynamic_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_.pdf; Enhancing_Neural_Architecture_Search_with_Multiple_Hardware_Constraints_for_Deep_Learning_Model_Deployment_on_Tiny_IoT_Devices.pdf; Enhancing_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.pdf; 2402.01226v1.pdf
Information extraction from medical case reports using OpenAI InstructGPT / Sciannameo, Veronica; JAHIER PAGLIARI, Daniele; Urru, Sara; Grimaldi, Piercesare; Ocagli, Honoria; Ahsani-Nasab, Sara; Irene Comoretto, Rosanna; Gregori, Dario; Berchialla, Paola. - In: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. - ISSN 1872-7565. - ELETTRONICO. - 255:(2024). [10.1016/j.cmpb.2024.108326] 1-gen-2024 Daniele Jahier Pagliari + 1-s2.0-S0169260724003195-main.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.pdf; 3637543.3652873.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.pdf; Joint_Pruning_and_Channel-Wise_Mixed-Precision_Quantization_for_Efficient_Deep_Neural_Networks.pdf
Machine Learning-based feasibility estimation of digital blocks in BCD technology / Daghero, Francesco; Faraone, Gabriele; Grosso, Michelangelo; Pagliari, Daniele Jahier; Di Carolo, Nicola; Franchino, Giovanna Antonella; Licastro, Dario; Serianni, Eugenio. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems, DTTIS 2024 tenutosi a Aix-En-Provence, France nel 14-16 October 2024) [10.1109/dttis62212.2024.10780062]. 1-gen-2024 Daghero, FrancescoPagliari, Daniele Jahier + -
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.pdf; Model-Driven_Feature_Engineering_for_Data-Driven_Battery_SOH_Model.pdf
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. - (2024), pp. 1-5. (Intervento presentato al convegno Biomedical Circuits and Systems Conference (BIOCAS) 2024 tenutosi a Xi'an (CHN) nel 24-26 October 2024) [10.1109/BioCAS61083.2024.10798404]. 1-gen-2024 Alessio BurrelloGiovanni PolloMassimo PoncinoEnrico MaciiLuca BeniniDaniele Jahier Pagliari + PPG_BP_BioCAS2024.pdf; Optimization_and_Deployment_of_Deep_Neural_Networks_for_PPG-based_Blood_Pressure_Estimation_Targeting_Low-power_Wearables.pdf