Archivio Istituzionale della RicercaJAHIER PAGLIARI, DANIELE
JAHIER PAGLIARI, DANIELE
Dipartimento di Automatica e Informatica
035148
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
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
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
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
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
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
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
2023 Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
2023 Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; Poncino, Massimo; Verhelst, Marian; JAHIER PAGLIARI, Daniele
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.
Assessing the dependence of li-Ion batteries capacity on load current frequency
2022 Chen, Yukai; Wang, Wenlong; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
2022 Burrello, A.; Bianco Morghet, F.; Scherer, M.; Benatti, S.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.
C-NMT: A Collaborative Inference Framework for Neural Machine Translation
2022 Chen, Y.; Chiaro, R.; Macii, E.; Poncino, M.; Jahier Pagliari, D.
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
2022 Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference
2022 Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data
2022 Burrello, A.; Jahier Pagliari, D.; Bianco, M.; Macii, E.; Benini, L.; Poncino, M.; Benatti, S.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization / Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio. - ELETTRONICO. - (2023), pp. 1-8. (Intervento presentato al convegno Forum for Specification and Design Languages (FDL) tenutosi a Turin (Italy) nel September 13-15, 2023) [10.1109/FDL59689.2023.10272045]. | 1-gen-2023 | Jahier Pagliari, DanieleRisso, MatteoMotetti, BeatriceBurrello, Alessio | 2307.09488.pdf; PLiNIO_A_User-Friendly_Library_of_Gradient-Based_Methods_for_Complexity-Aware_DNN_Optimization.pdf |
| Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference / Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; Poncino, Massimo; Verhelst, Marian; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2023), pp. 1-6. (Intervento presentato al convegno International Symposium on Low Power Electronics and Design (ISLPED) 2023 tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244311]. | 1-gen-2023 | Matteo RissoAlessio BurrelloLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | ISLPED23___ODiMO__arXiv_.pdf; 135_Final_Manuscript (1).pdf; Precision-aware_Latency_and_Energy_Balancing_on_Multi-Accelerator_Platforms_for_DNN_Inference.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 |
| Assessing the dependence of li-Ion batteries capacity on load current frequency / Chen, Yukai; Wang, Wenlong; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo. - ELETTRONICO. - (2022), pp. 58-63. (Intervento presentato al convegno 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM) tenutosi a Sorrento, Italy nel 22-24 June 2022) [10.1109/SPEEDAM53979.2022.9842122]. | 1-gen-2022 | Yukai ChenWenlong WangDaniele Jahier PagliariEnrico MaciiMassimo Poncino | Battery_capacity_frequence_dependence_with_SOH_data.pdf; Assessing_the_Dependence_of_Li-Ion_Batteries_Capacity_on_Load_Current_Frequency.pdf |
| Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition / Burrello, A.; Bianco Morghet, F.; Scherer, M.; Benatti, S.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.. - ELETTRONICO. - (2022), pp. 1443-1448. (Intervento presentato al convegno 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 tenutosi a Antwerp, Belgium nel 2022) [10.23919/DATE54114.2022.9774639]. | 1-gen-2022 | Burrello A.Bianco Morghet F.MacIi E.Poncino M.Jahier Pagliari D. + | DATE22___Bioformer.pdf; Burrello_et_al_2022_Bioformers.pdf |
| C-NMT: A Collaborative Inference Framework for Neural Machine Translation / Chen, Y.; Chiaro, R.; Macii, E.; Poncino, M.; Jahier Pagliari, D.. - ELETTRONICO. - (2022), pp. 1512-1516. (Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 tenutosi a Austin (USA) nel 27 May 2022 - 01 June 2022) [10.1109/ISCAS48785.2022.9937603]. | 1-gen-2022 | Chen Y.Chiaro R.MacIi E.Poncino M.Jahier Pagliari D. | CRIME_NMT_New.pdf; Chen_et_al_2022_C-NMT.pdf |
| Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes / Risso, M.; Burrello, A.; Benini, L.; Macii, E.; Poncino, M.; Jahier Pagliari, D.. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno 13th IEEE International Green and Sustainable Computing Conference, IGSC 2022 tenutosi a Pittsburgh, PA, USA nel 2022) [10.1109/IGSC55832.2022.9969373]. | 1-gen-2022 | Risso M.Burrello A.Macii E.Poncino M.Jahier Pagliari D. + | Multi_precision_NAS__Camera_Ready_.pdf; Risso_et_al_2022_Channel-wise_Mixed-precision_Assignment_for_DNN_Inference_on_Constrained_Edge.pdf |
| Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference / Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.. - (2022), pp. 181-184. (Intervento presentato al convegno 2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME) tenutosi a Villasimius, SU (Italy) nel 12-15 June 2022) [10.1109/PRIME55000.2022.9816801]. | 1-gen-2022 | Xie C.Jahier Pagliari DanieleCalimera A. | Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference_arxiv.pdf; Energy-efficient_and_Privacy-aware_Social_Distance_Monitoring_with_Low-resolution_Infrared_Sensors_and_Adaptive_Inference.pdf |
| Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data / Burrello, A.; Jahier Pagliari, D.; Bianco, M.; Macii, E.; Benini, L.; Poncino, M.; Benatti, S.. - ELETTRONICO. - (2022), pp. 153-157. (Intervento presentato al convegno 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) tenutosi a Taipei, Taiwan nel 13-15 October 2022) [10.1109/BioCAS54905.2022.9948584]. | 1-gen-2022 | Burrello A.Jahier Pagliari D.MacIi E.Poncino M. + | BioCAS22___AugmentPPG.pdf; Improving_PPG-based_Heart-Rate_Monitoring_with_Synthetically_Generated_Data.pdf |