Archivio Istituzionale della RicercaBURRELLO, ALESSIO
BURRELLO, ALESSIO
Dipartimento di Automatica e Informatica
036284
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices
2025 Daghero, Francesco; Burrello, Alessio; Poncino, Massimo; Macii, Enrico; Jahier Pagliari, Daniele
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data
2025 Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste Bove, Jean; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele; Maffeis, Giuseppe
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
2025 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
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
2024 Benfenati, Luca; Mar Ingolfsson, Thorir; Cossettini, Andrea; Jahier Pagliari, Daniele; Burrello, Alessio; Benini, Luca
Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs
2024 Rapa, Pierangelo Maria; Orlandi, Mattia; Amidei, Andrea; Burrello, Alessio; Rabbeni, Roberto; Pavan, Paolo; Benini, Luca; Benatti, Simone
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
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
2024 Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
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
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.
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
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.
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices / Daghero, Francesco; Burrello, Alessio; Poncino, Massimo; Macii, Enrico; Jahier Pagliari, Daniele. - STAMPA. - (2025), pp. 46-58. (Intervento presentato al convegno 24nd International Conference, SAMOS 2024 tenutosi a Samos, Greece nel 29/06/2024-4/07/2024) [10.1007/978-3-031-78377-7_4]. | 1-gen-2025 | Daghero, FrancescoBurrello, AlessioPoncino, MassimoMacii, EnricoJahier Pagliari, Daniele | - |
| Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data / Risso, Matteo; Goffi, Alessia; Motetti, BEATRICE ALESSANDRA; Burrello, Alessio; Baptiste Bove, Jean; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele; Maffeis, Giuseppe. - ELETTRONICO. - (2025). (Intervento presentato al convegno International Conference on Image Processing, Applications and Systems (IPAS) tenutosi a Lyon (FRA) nel 09-11 January 2025) [10.1109/IPAS63548.2025.10924534]. | 1-gen-2025 | Matteo RissoBeatrice Alessandra MotettiAlessio BurrelloEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Building_Damage_Assessment_in_Conflict_Zones_A_Deep_Learning_Approach_Using_Geospatial_Sub-Meter_Resolution_Data.pdf; 2410.04802v1.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. - 32:(2025), pp. 304-309. (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024) [10.1007/978-3-031-76424-0_54]. | 1-gen-2025 | 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 |
| 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. - (2024). (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 July 2024) [10.1109/EMBC53108.2024.10782289]. | 1-gen-2024 | Benfenati,LucaJahier Pagliari,DanieleBurrello,AlessioBenini,Luca + | Transformer_Seizure_Detection____EMBC_2024_IRIS.pdf; BISeizuRe_BERT-Inspired_Seizure_Data_Representation_to_Improve_Epilepsy_Monitoring.pdf |
| Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs / Rapa, Pierangelo Maria; Orlandi, Mattia; Amidei, Andrea; Burrello, Alessio; Rabbeni, Roberto; Pavan, Paolo; Benini, Luca; Benatti, Simone. - (2024), pp. 124-128. (Intervento presentato al convegno 6th IEEE International Conference on AI Circuits and Systems, AICAS 2024 tenutosi a Abu Dhabi (ARE) nel 22-25 April 2024) [10.1109/aicas59952.2024.10595972]. | 1-gen-2024 | Burrello, Alessio + | AICAS24___Drowsiness.pdf; Driving_Towards_Safety_Online_PPG-based_Drowsiness_Detection_with_TCNs.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 |
| 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. - (2024), pp. 1-5. (Intervento presentato al convegno Biomedical Circuits and Systems Conference (BIOCAS) 2024 tenutosi a Xi'an (CHN) nel 24-26 October 2024) [10.1109/BioCAS61083.2024.10798404]. | 1-gen-2024 | Alessio BurrelloGiovanni PolloMassimo PoncinoEnrico MaciiLuca BeniniDaniele Jahier Pagliari + | PPG_BP_BioCAS2024.pdf; Optimization_and_Deployment_of_Deep_Neural_Networks_for_PPG-based_Blood_Pressure_Estimation_Targeting_Low-power_Wearables.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 |
| 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 |
| 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 |
| 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 |
| 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 |