JAHIER PAGLIARI, DANIELE
JAHIER PAGLIARI, DANIELE
Dipartimento di Automatica e Informatica
035148
Model-Driven Feature Engineering for Data-Driven Battery SOH Model
In corso di stampa Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
In corso di stampa Risso, Matteo; Burrello, Alessio; Maria Sarda, Giuseppe; Benini, Luca; Macii, Enrico; Poncino, Massimo; Verhelst, Marian; JAHIER PAGLIARI, Daniele
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
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
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
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices
2023 Burrello, Alessio; Risso, Matteo; Motetti, BEATRICE ALESSANDRA; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
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
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
2023 Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
2023 Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy
2022 Sciannameo, V.; Goffi, A.; Maffeis, G.; Gianfreda, R.; Jahier Pagliari, D.; Filippini, T.; Mancuso, P.; Giorgi-Rossi, P.; Alberto Dal Zovo, L.; Corbari, A.; Vinceti, M.; Berchialla, P.
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.
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring
2022 Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference
2022 Xie, C.; JAHIER PAGLIARI, Daniele; Calimera, A.
Citazione | Data di pubblicazione | Autori | File |
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Model-Driven Feature Engineering for Data-Driven Battery SOH Model / Alamin, Khaled; JAHIER PAGLIARI, Daniele; Chen, Yukai; Macii, Enrico; Vinco, Sara; Poncino, Massimo. - (In corso di stampa). (Intervento presentato al convegno Design, Automation and Test in Europe Conference tenutosi a Valencia, Spain nel 25-27 March 2024). | In corso di stampa | Khaled AlaminDaniele Jahier PagliariYukai ChenEnrico MaciiSara VincoMassimo Poncino | Model-Driven_Feature_Engineering.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. - (In corso di stampa). (Intervento presentato al convegno ACM/IEEE International Symposium on Low Power Electronics and Design). | In corso di stampa | Matteo RissoAlessio BurrelloLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | ISLPED23___ODiMO__arXiv_.pdf; 135_Final_Manuscript (1).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 |
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). (Intervento presentato al convegno Computing Frontiers Open-Source Hardware Workshop). | 1-gen-2024 | Mohamed Amine HamdiGiovanni PolloMatteo RissoAlessio BurrelloEnrico MaciiMassimo PoncinoSara VincoDaniele Jahier Pagliari + | 2404.01861.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 |
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. - (2023), pp. 1-15. [10.1109/TETC.2023.3322033] | 1-gen-2023 | 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 |
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 |
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 |
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference / Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: SENSORS. - ISSN 1424-8220. - 23:4(2023), pp. 1-21. [10.3390/s23042065] | 1-gen-2023 | CHEN XIEAlessio BurrelloFrancesco DagheroLUCA BENINIANDREA CALIMERAEnrico MACIIMassimo PoncinoDANIELE PAGLIARI | Reducing the Energy Consumption of sEMG-Based-Gesture-Recognition-at-the Edge-Using-Transformers-and-Dynamic-Inference.pdf |
A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy / Sciannameo, V.; Goffi, A.; Maffeis, G.; Gianfreda, R.; Jahier Pagliari, D.; Filippini, T.; Mancuso, P.; Giorgi-Rossi, P.; Alberto Dal Zovo, L.; Corbari, A.; Vinceti, M.; Berchialla, P.. - In: JOURNAL OF BIOMEDICAL INFORMATICS. - ISSN 1532-0464. - ELETTRONICO. - 132:(2022), p. 104132. [10.1016/j.jbi.2022.104132] | 1-gen-2022 | Jahier Pagliari D. + | Sciannameo_et_al_2022_A_deep_learning_approach_for_Spatio-Temporal_forecasting_of_new_cases_and_new2.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 |
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring / Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone. - In: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE. - ISSN 2691-1957. - 3:2(2022), pp. 1-25. [10.1145/3487910] | 1-gen-2022 | Alessio BurrelloDaniele Jahier PagliariMatteo RissoMassimo PoncinoLuca Benini + | actppg_journal.pdf; actppg_open.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 |