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
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
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
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.
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
2022 Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
2022 Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
2022 Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs
2022 Daghero, Francesco; Jahier Pagliari, Daniele; Poncino, Massimo
ACME: An energy-efficient approximate bus encoding for I2C
2021 Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
2021 Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks
2021 Burrello, A.; Jahier Pagliari, D.; Bartolini, A.; Benini, L.; Macii, E.; Poncino, M.
Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
2021 Risso, M.; Burrello, A.; JAHIER PAGLIARI, Daniele; Conti, F.; Lamberti, L.; Macii, E.; Benini, L.; Poncino, M.
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
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 |
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 |
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 |
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 |
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers / Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D. - STAMPA. - 661:(2022), pp. 25-47. (Intervento presentato al convegno 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2021) tenutosi a Singapore nel October 4-8, 2021) [10.1007/978-3-031-16818-5_2]. | 1-gen-2022 | Daghero, FBurrello, AXie, CBenini, LCalimera, AMacii, EPoncino, MJahier Pagliari, D | postprint.pdf; vlsi-soc-chapter.pdf |
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks / Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno ACM/IEEE International Symposium on Low Power Electronics and Design tenutosi a Boston (USA) nel August 1 - 3, 2022) [10.1145/3531437.3539720]. | 1-gen-2022 | Risso, MatteoBurrello, AlessioBenini, LucaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | ispled.pdf; ispled_open.pdf |
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - (2022), pp. 1332-1336. (Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Austin, TX (USA) nel 27 May 2022 - 01 June 2022) [10.1109/ISCAS48785.2022.9937837.]. | 1-gen-2022 | Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Privacy-preserving_Social_Distance_Monitoring_arxiv.pdf; Privacy-preserving_Social_Distance_Monitoring_on_Microcontrollers_with_Low-Resolution_Infrared_Sensors_and_CNNs.pdf |
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs / Daghero, Francesco; Jahier Pagliari, Daniele; Poncino, Massimo. - ELETTRONICO. - (2022), pp. 173-176. (Intervento presentato al convegno 17th International Conference on Ph.D Research in Microelectronics and Electronics, PRIME 2022 tenutosi a Villasimius (ITA) nel 2022) [10.1109/PRIME55000.2022.9816745]. | 1-gen-2022 | Daghero, FrancescoJahier Pagliari, DanielePoncino, Massimo | Two-stage_Human_Activity_Recognition_on_Microcontrollers_with_Decision_Trees_and_CNNs.pdf; Two-stage_Human_Activity_Recognition_on_Microcontrollers_with_Decision_Trees_and_CNNs-POSTPRINT.pdf |
ACME: An energy-efficient approximate bus encoding for I2C / Xie, Chen; JAHIER PAGLIARI, Daniele; Calimera, Andrea; Macii, Enrico; Poncino, Massimo. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Boston, MA, USA nel 26-28 July 2021) [10.1109/ISLPED52811.2021.9502495]. | 1-gen-2021 | Chen XieDaniele Jahier PagliariAndrea CalimeraEnrico MaciiMassimo Poncino | ACME_an_Energy_efficinet_approximate_bus_encoding_for_I2C.pdf; ACME_An_Energy-Efficient_Approximate_Bus_Encoding_for_I2C.pdf |
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021) [10.1109/VLSI-SoC53125.2021.9606986]. | 1-gen-2021 | Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdf; Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf |
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks / Burrello, A.; Jahier Pagliari, D.; Bartolini, A.; Benini, L.; Macii, E.; Poncino, M.. - 12480:(2021), pp. 277-289. (Intervento presentato al convegno Workshops held at the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020 nel 2020) [10.1007/978-3-030-71593-9_22]. | 1-gen-2021 | Burrello A.Jahier Pagliari D.Macii E.Poncino M. + | Euro_Par2020___HDD_Anomaly_Detection.pdf; Burrello2021_Chapter_PredictingHardDiskFailuresInDa.pdf |
Pruning in Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks / Risso, M.; Burrello, A.; JAHIER PAGLIARI, Daniele; Conti, F.; Lamberti, L.; Macii, E.; Benini, L.; Poncino, M.. - ELETTRONICO. - 2021 58th ACM/IEEE Design Automation Conference (DAC):(2021), pp. 1015-1020. (Intervento presentato al convegno 58th ACM/IEEE Design Automation Conference, DAC 2021 tenutosi a USA nel 2021) [10.1109/DAC18074.2021.9586187]. | 1-gen-2021 | Risso M.Burrello A.Pagliari Jahier DanieleMacIi E.Poncino M. + | Pruning_In_Time_PIT_A_Lightweight_Network_Architecture_Optimizer_for_Temporal_Convolutional_Networks.pdf; pit_open.pdf |