Archivio Istituzionale della RicercaJAHIER PAGLIARI, DANIELE
JAHIER PAGLIARI, DANIELE
Dipartimento di Automatica e Informatica
035148
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
In corso di stampa Benfenati, Luca; Mar Ingolfsson, Thorir; Cossettini, Andrea; Jahier Pagliari, Daniele; Burrello, Alessio; Benini, Luca
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
In corso di stampa Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
In corso di stampa Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones
2024 Motetti, Beatrice Alessandra; Crupi, Luca; Elshaigi, Mustafa Omer Mohammed Elamin; Risso, Matteo; Jahier Pagliari, Daniele; Palossi, Daniele; Burrello, Alessio
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques
2024 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.
Black-Boxing GNSS Signals Post-Processing Through Machine Learning for Multi-Agent Collaborative Positioning of IoT Devices
2024 Minetto, Alex; Jahier-Pagliari, Daniele; Rotunno, Angela
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
2024 Daghero, Francesco; Burrello, Alessio; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
2024 Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays
2024 Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele
Information extraction from medical case reports using OpenAI InstructGPT
2024 Sciannameo, Veronica; JAHIER PAGLIARI, Daniele; Urru, Sara; Grimaldi, Piercesare; Ocagli, Honoria; Ahsani-Nasab, Sara; Irene Comoretto, Rosanna; Gregori, Dario; Berchialla, Paola
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices
2024 Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks
2024 Motetti, Beatrice Alessandra; Risso, Matteo; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Model-Driven Feature Engineering for Data-Driven Battery SOH Model
2024 Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA
2024 Carpentieri, Nicolò; Sapriza, Juan; Schiavone, Davide; JAHIER PAGLIARI, Daniele; Atienza, David; Martina, Maurizio; Burrello, Alessio
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
2023 Cereda, Elia; Crupi, Luca; Risso, Matteo; Burrello, Alessio; Benini, Luca; Giusti, Alessandro; Jahier Pagliari, Daniele; Palossi, Daniele
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
2023 Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation
2023 Burrello, Alessio; Risso, Matteo; Tomasello, Noemi; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
2023 Van Delm, Josse; Vandersteegen, Maarten; Burrello, Alessio; Sarda, Giuseppe Maria; Conti, Francesco; Pagliari, Daniele Jahier; Benini, Luca; Verhelst, Marian
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
2023 Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Model-Driven Dataset Generation for Data-Driven Battery SOH Models
2023 Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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. - (In corso di stampa). (Intervento presentato al convegno 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) tenutosi a Orlando (USA) nel 15-19/07/2024). | In corso di stampa | Benfenati,LucaJahier Pagliari,DanieleBurrello,AlessioBenini,Luca + | Transformer_Seizure_Detection____EMBC_2024_IRIS.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. - (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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA / Carpentieri, Nicolò; Sapriza, Juan; Schiavone, Davide; JAHIER PAGLIARI, Daniele; Atienza, David; Martina, Maurizio; Burrello, Alessio. - (2024), pp. 67-70. (Intervento presentato al convegno CF '24: 21st ACM International Conference on Computing Frontiers tenutosi a Ischia (ITA) nel May 7 - 9, 2024) [10.1145/3637543.3652875]. | 1-gen-2024 | Daniele Jahier PagliariMaurizio MartinaAlessio Burrello + | 2403.01236v1.pdf; 3637543.3652875.pdf |
| Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs / Cereda, Elia; Crupi, Luca; Risso, Matteo; Burrello, Alessio; Benini, Luca; Giusti, Alessandro; Jahier Pagliari, Daniele; Palossi, Daniele. - ELETTRONICO. - (2023), pp. 6065-6071. (Intervento presentato al convegno 2023 IEEE International Conference on Robotics and Automation (ICRA) tenutosi a London (UK) nel 29 May 2023 - 02 June 2023) [10.1109/ICRA48891.2023.10160369]. | 1-gen-2023 | Risso, MatteoBurrello, AlessioBenini, LucaJahier Pagliari, Daniele + | 2303.01931.pdf; Deep_Neural_Network_Architecture_Search_for_Accurate_Visual_Pose_Estimation_aboard_Nano-UAVs.pdf |
| Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 10:15(2023), pp. 13895-13907. [10.1109/JIOT.2023.3263290] | 1-gen-2023 | Xie, ChenDaghero, FrancescoChen, YukaiCalimera, AndreaMacii, EnricoPoncino, MassimoPagliari, Daniele Jahier + | Efficient_Deep_Learning_Models_for_Privacy-preserving_People_Counting_on_Low-resolution_Infrared_Arrays.pdf; Efficient_Deep_Learning_Models_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.pdf |
| Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation / Burrello, Alessio; Risso, Matteo; Tomasello, Noemi; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2023). (Intervento presentato al convegno Design, Automation & Test in Europe Conference & Exhibition (DATE) tenutosi a Antwerp (Belgium) nel 17-19 April 2023) [10.23919/DATE56975.2023.10137129]. | 1-gen-2023 | Alessio BurrelloMatteo RissoYukai ChenLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Energy-efficient_Wearable-to-Mobile_Offload_of_ML_Inference_for_PPG-based_Heart-Rate_Estimation.pdf; DATE23___PPGCollaborative__arxiv_.pdf |
| HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms / Van Delm, Josse; Vandersteegen, Maarten; Burrello, Alessio; Sarda, Giuseppe Maria; Conti, Francesco; Pagliari, Daniele Jahier; Benini, Luca; Verhelst, Marian. - (2023). (Intervento presentato al convegno Design Automation Conference (DAC) 2023 tenutosi a San Francisco, CA (USA) nel 09-13 July 2023) [10.1109/dac56929.2023.10247664]. | 1-gen-2023 | Burrello, AlessioPagliari, Daniele Jahier + | Conf___TVM_DORY_Compiler.pdf; HTVM_Efficient_Neural_Network_Deployment_On_Heterogeneous_TinyML_Platforms.pdf |
| Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge / Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 72:3(2023), pp. 744-758. [10.1109/TC.2022.3177955] | 1-gen-2023 | Matteo RissoAlessio BurrelloYukai ChenLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | pit_journal.pdf; Lightweight_Neural_Architecture_Search_for_Temporal_Convolutional_Networks_at_the_Edge.pdf |
| Model-Driven Dataset Generation for Data-Driven Battery SOH Models / Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244587]. | 1-gen-2023 | Sidahmed Alamin, Khaled SidahmedDaghero, FrancescoPollo, GiovanniPagliari, Daniele JahierChen, YukaiMacii, EnricoPoncino, MassimoVinco, Sara | Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf; Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf |