Alessio Burrello

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 96

Top Topics

Health Monitoring

Pose Estimation

Top Venues

IEEE Internet Things J.

Publications

Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) (2024)
Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones. CoRR (2024)
Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR (2024)
Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR (2024)
Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. CoRR (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR (2024)
Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CF (Companion) (2024)
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Victor J. B. Jung, Moritz Scherer, Matteo Antonio Scrugli, Adriano Bernini, Pauline Ducouret, Philippe Ryvlin, Paolo Meloni, Luca Benini
Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. IEEE Trans. Biomed. Circuits Syst. 18 (3) (2024)
Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR (2024)
Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE (2024)
Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello
Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CoRR (2024)
Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. IEEE Internet Things J. 11 (1) (2024)
Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. DATE (2024)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. CoRR (2024)
Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
Foundation Models for Structural Health Monitoring. CoRR (2024)
Viviane Potocnik, Luca Colagrande, Tim Fischer, Luca Bertaccini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform. CoRR (2024)
Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. CoRR (2024)
Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR (2024)
Pierangelo Maria Rapa, Mattia Orlandi, Andrea Amidei, Alessio Burrello, Roberto Rabbeni, Paolo Pavan, Luca Benini, Simone Benatti
Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs. AICAS (2024)
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. ICRA (2023)
Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE (2023)
Luka Macan, Alessio Burrello, Luca Benini, Francesco Conti
WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. CASES (2023)
Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR (2023)
Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors 23 (4) (2023)
Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. CoRR (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED (2023)
Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. FDL (2023)
Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. CoRR (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. CoRR (2023)
Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR (2023)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. DAC (2023)
Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers 72 (3) (2023)
Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization. CoRR (2023)
William Fornaciari, Federico Reghenzani, Giovanni Agosta, Davide Zoni, Andrea Galimberti, Francesco Conti, Yvan Tortorella, Emanuele Parisi, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva, Daniele Gregori, Salvatore Cognetta, Carlo Ciancarelli, Antonio Leboffe, Paolo Serri, Alessio Burrello, Daniele Jahier Pagliari, Gianvito Urgese, Maurizio Martina, Guido Masera, Rosario Di Carlo, Antonio Sciarappa
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. SAMOS (2023)
Andrea Borghesi, Alessio Burrello, Andrea Bartolini
ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems. IEEE Internet Things J. 10 (4) (2023)
Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis
Feature-Level Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. COMPSAC (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. ISVLSI (2023)
Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR (2023)
Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. CoRR (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR (2022)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR (2022)
Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. IEEE Internet Things J. 9 (18) (2022)
Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. CoRR (2022)
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21 (4) (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC (2022)
Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Moritz Scherer, Matteo Antonio Scrugli, Paolo Meloni, Luca Benini
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. BioCAS (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR (2022)
Alessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini
Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. AICAS (2022)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR (2022)
Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR (2022)
Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti
Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS (2022)
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs. IEEE Internet Things J. 9 (3) (2022)
Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR (2022)
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE (2022)
Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED (2022)
Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. 3 (2) (2022)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR (2022)
Alessio Burrello, Giovanni Zara, Luca Benini, Davide Brunelli, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. Sustain. Comput. Informatics Syst. 35 (2022)
Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. CoRR (2022)
Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR (2022)
Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR (2022)
Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs. CoRR (2021)
Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study. I2MTC (2021)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) (2021)
Alessio Burrello, Alex Marchioni, Davide Brunelli, Simone Benatti, Mauro Mangia, Luca Benini
Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring. IEEE Internet Things J. 8 (6) (2021)
Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. 15 (6) (2021)
Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC (2021)
Luca Zanatta, Francesco Barchi, Alessio Burrello, Andrea Bartolini, Davide Brunelli, Andrea Acquaviva
Damage Detection in Structural Health Monitoring with Spiking Neural Networks. MetroInd4.0&IoT (2021)
Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED (2021)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. IEEE Trans. Computers 70 (8) (2021)
Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF (2021)
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS (2021)
Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch Morinigo, Roberto Meattini, Gianluca Palli, Claudio Melchiorri, Luca Benini
sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller. COINS (2021)
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR (2021)
Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi
An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. IEEE J. Biomed. Health Informatics 25 (4) (2021)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS (2021)
Alessio Burrello, Moritz Scherer, Marcello Zanghieri, Francesco Conti, Luca Benini
A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes. COINS (2021)
Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva
Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring. Future Internet 13 (8) (2021)
Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks. DATE (2021)
Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC (2021)
Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings. IEEE Trans. Biomed. Eng. 67 (2) (2020)
Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS (2020)
Alessio Burrello, Davide Brunelli, Marzia Malavisi, Luca Benini
Enhancing Structural Health Monitoring with Vehicle Identification and Tracking. I2MTC (2020)
Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch, Francesco Conti, Luca Benini
Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor. IEEE Trans. Biomed. Circuits Syst. 14 (2) (2020)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. CoRR (2020)
Marcello Zanghieri, Simone Benatti, Francesco Conti, Alessio Burrello, Luca Benini
Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks. AICAS (2020)
Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino
Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. Euro-Par Workshops (2020)
Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi
Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE (2019)
Alessio Burrello, Francesco Conti, Angelo Garofalo, Davide Rossi, Luca Benini
DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress. CODES+ISSS (2019)
Alessio Burrello, Alex Marchioni, Davide Brunelli, Luca Benini
Embedding principal component analysis for data reduction in structural health monitoring on low-cost IoT gateways. CF (2019)
Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. CoRR (2018)
Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. BioCAS (2018)