Archivio Istituzionale della RicercaBURRELLO, ALESSIO
BURRELLO, ALESSIO
Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio
036284
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
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
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
Feature-Level Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation
2023 Kasnesis, P.; Toumanidis, L.; Burrello, A.; Chatzigeorgiou, C.; Patrikakis, C. Z.
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
2023 Jahier Pagliari, Daniele; Risso, Matteo; Motetti, Beatrice; Burrello, Alessio
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring
2022 Burrello, A; Sintoni, G; Brunelli, D; Benini, L
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.
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.
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices
2022 Busia, Paola; Cossettini, Andrea; Ingolfsson, Thorir Mar; Benatti, Simone; Burrello, Alessio; Scherer, Moritz; Scrugli, Matteo Antonio; Meloni, Paolo; Benini, Luca
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
A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes
2021 Burrello, A; Scherer, M; Zanghieri, M; Conti, F; Benini, L
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
Damage Detection in Structural Health Monitoring with Spiking Neural Networks
2021 Zanatta, L; Barchi, F; Burrello, A; Bartolini, A; Brunelli, D; Acquaviva, A
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
2021 Ingolfsson, Tm; Wang, Xy; Hersche, M; Burrello, A; Cavigelli, L; Benini, L
Low-Latency Detection of Epileptic Seizures from iEEG with Temporal Convolutional Networks on a Low-Power Parallel MCU
2021 Zanghieri, M; Burrello, A; Benatti, S; Schindler, K; Benini, L
Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study
2021 Moallemi, Amirhossein; Burrello, Alessio; Brunelli, Davide; Benini, Luca
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| Feature-Level Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation / Kasnesis, P.; Toumanidis, L.; Burrello, A.; Chatzigeorgiou, C.; Patrikakis, C. Z.. - (2023). (Intervento presentato al convegno IEEE COMPSAC) [10.48550/arXiv.2210.11415]. | 1-gen-2023 | Burrello, A. + | 2210.11415.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 |
| Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring / Burrello, A; Sintoni, G; Brunelli, D; Benini, L. - (2022), pp. 439-442. (Intervento presentato al convegno 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS54282.2022.9869952]. | 1-gen-2022 | Burrello, A + | AICAS_____GANforSHM.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 |
| 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 |
| EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices / Busia, Paola; Cossettini, Andrea; Ingolfsson, Thorir Mar; Benatti, Simone; Burrello, Alessio; Scherer, Moritz; Scrugli, Matteo Antonio; Meloni, Paolo; Benini, Luca. - (2022), pp. 640-644. (Intervento presentato al convegno 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) tenutosi a Taipei (Taiwan) nel 13-15 October 2022) [10.1109/BioCAS54905.2022.9948637]. | 1-gen-2022 | Burrello, AlessioBenini, Luca + | Transformer_BioCAS_paper-25agosto.pdf; EEGformer_Transformer-Based_Epilepsy_Detection_on_Raw_EEG_Traces_for_Low-Channel-Count_Wearable_Continuous_Monitoring_Devices.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 |
| A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes / Burrello, A; Scherer, M; Zanghieri, M; Conti, F; Benini, L. - (2021), pp. 84-89. (Intervento presentato al convegno 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS)) [10.1109/COINS51742.2021.9524173]. | 1-gen-2021 | Burrello, A + | COINS________PULP_Transformers.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 |
| Damage Detection in Structural Health Monitoring with Spiking Neural Networks / Zanatta, L; Barchi, F; Burrello, A; Bartolini, A; Brunelli, D; Acquaviva, A. - (2021), pp. 105-110. (Intervento presentato al convegno 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)) [10.1109/METROIND4.0IOT51437.2021.9488476]. | 1-gen-2021 | Zanatta, LBarchi, FBurrello, ABartolini, A + | _____date_eprop_v_.pdf |
| ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network / Ingolfsson, Tm; Wang, Xy; Hersche, M; Burrello, A; Cavigelli, L; Benini, L. - (2021), pp. 1-4. (Intervento presentato al convegno 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)) [10.1109/AICAS51828.2021.9458520]. | 1-gen-2021 | Burrello, A + | AICAS_____ECG_TCN.pdf |
| Low-Latency Detection of Epileptic Seizures from iEEG with Temporal Convolutional Networks on a Low-Power Parallel MCU / Zanghieri, M; Burrello, A; Benatti, S; Schindler, K; Benini, L. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE Sensors Applications Symposium (SAS)) [10.1109/SAS51076.2021.9530181]. | 1-gen-2021 | Burrello, A + | SAS_____Epilepsy.pdf |
| Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study / Moallemi, Amirhossein; Burrello, Alessio; Brunelli, Davide; Benini, Luca. - (2021), pp. 1-6. (Intervento presentato al convegno 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)) [10.1109/i2mtc50364.2021.9459999]. | 1-gen-2021 | Alessio Burrello + | I_MTC_____AnomyDetectionSHM.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 |