Alessio Burrello

140 papers A* 3A 12B 1C 5Misc 3Journal 86Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BlankSkip: Early-exit Object Detection onboard Nano-drones. CoRR Carlo Marra, Beatrice Alessandra Motetti, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2026	J	`jnl`	Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold. CoRR Luca Benfenati, Matteo Risso, Andrea Vannozzi, Ahmet Caner Yüzügüler, Lukas Cavigelli, Enrico Macii, Daniele Jahier Pagliari, Alessio Burrello
2026	J	`jnl`	Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices. CoRR Ivan Zaino, Matteo Risso, Daniele Jahier Pagliari, Miguel de Prado, Toon Van de Maele, Alessio Burrello
2026	J	`jnl`	Lightweight Test-Time Adaptation for EMG-Based Gesture Recognition. CoRR Nia Touko, Matthew O. A. Ellis, Cristiano Capone, Alessio Burrello, Elisa Donati, Luca Manneschi
2026	J	`jnl`	OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2026	J	`jnl`	Replacing Attention With Modality-Wise Convolution for Energy-Efficient PPG-Based Heart Rate Estimation Using Knowledge Distillation. IEEE J. Biomed. Health Informatics Panagiotis Kasnesis, Lazaros Toumanidis, Daniele Jahier Pagliari, Alessio Burrello
2026	J	`jnl`	TrainDeeploy: Hardware-Accelerated Parameter-Efficient Fine-Tuning of Small Transformer Models at the Extreme Edge. CoRR Run Wang, Victor J. B. Jung, Philip Wiese, Francesco Conti, Alessio Burrello, Luca Benini
2025	C	`conf`	Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design. FDL Giovanni Pollo, Andrei Mihai Albu, Alessio Burrello, Daniele Jahier Pagliari, Cristian Tesconi, Loris Panaro, Dario Soldi, Fabio Autieri, Sara Vinco
2025	J	`jnl`	Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design. CoRR Giovanni Pollo, Andrei Mihai Albu, Alessio Burrello, Daniele Jahier Pagliari, Cristian Tesconi, Loris Panaro, Dario Soldi, Fabio Autieri, Sara Vinco
2025	C	`conf`	Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. IPAS Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2025	A	`conf`	Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction. DATE Giovanni Pollo, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2025	Misc	`conf`	Design and Optimization for AI/ML Acceleration on Resource-constrained and Edge Systems. CASES Jalil Boukhobza, Alessio Burrello, Yuan-Hao Chang, Yawei Li, Daniele Jahier Pagliari, Chun-Feng Wu, Ming-Chang Yang, Tsun-Yu Yang
2025	J	`jnl`	EMG Acquisition and Processing for Hand Movement Decoding on Embedded Systems: State of the Art and Challenges. Proc. IEEE Simone Benatti, Elisa Donati, Ali Moin, Marcello Zanghieri, Mattia Orlandi, Alessio Burrello, Fiorenzo Artoni, Silvestro Micera, Luca Benini, Jan M. Rabaey
2025	—	`conf`	EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. AICAS Luca Benfenati, Sofia Belloni, Alessio Burrello, Panagiotis Kasnesis, Xiaying Wang, Luca Benini, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2025	J	`jnl`	Foundation Models for Structural Health Monitoring. IEEE Trans. Sustain. Comput. Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
2025	J	`jnl`	Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches. CoRR Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini
2025	J	`jnl`	Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach. CoRR Andrei Mihai Albu, Giovanni Pollo, Alessio Burrello, Daniele Jahier Pagliari, Cristian Tesconi, Alessandra Neri, Dario Soldi, Fabio Autieri, Sara Vinco
2025	—	`conf`	Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. MLSys Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello
2025	J	`jnl`	Lightweight Software Kernels and Hardware Extensions for Efficient Sparse Deep Neural Networks on Microcontrollers. CoRR Francesco Daghero, Daniele Jahier Pagliari, Francesco Conti, Luca Benini, Massimo Poncino, Alessio Burrello
2025	J	`jnl`	MATCH: Model-Aware TVM-Based Compilation for Heterogeneous Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello
2025	A	`conf`	MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. ISLPED Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Lorenzo Ruotolo, Pietro Furbatto, Matteo Isoldi, Yukai Chen, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Sara Vinco
2025	J	`jnl`	MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. CoRR Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Lorenzo Ruotolo, Pietro Furbatto, Matteo Isoldi, Yukai Chen, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Sara Vinco
2025	A	`conf`	Multi-Partner Project: Advancing the EDA Tools Landscape for the European RISC-V Ecosystem in TRISTAN. DATE Fatma Jebali, Caaliph Andriamisaina, Mathieu Jan, Wolfgang Ecker, Florian Egert, Bernhard Fischer, Alessio Burrello, Daniele Jahier Pagliari, Sara Vinco, Giuseppe Tagliavini, Ingo Feldner, Andreas Mauderer, Axel Sauer, Arnór Kristmundsson, Alexander Schober, Téo Bernier, Matti Käyrä, Ulf Schlichtmann, Rocco Jonack
2025	J	`jnl`	Optimizing DNN Inference on Multi-accelerator SoCs at Training-Time. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2025	J	`jnl`	Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. IEEE Trans. Computers Victor Jean-Baptiste Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini
2025	—	`conf`	POSTER: V-Seek: Optimizing LLM Reasoning on A Server-Class General-Purpose RISC-V Platform. CF Javier Jesus Poveda Rodrigo, Mohamed Amine Hamdi, Cyril Koenig, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini
2025	J	`jnl`	Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. IEEE Des. Test Philip Wiese, Gamze Islamoglu, Moritz Scherer, Luka Macan, Victor Jean-Baptiste Jung, Alessio Burrello, Francesco Conti, Luca Benini
2025	J	`jnl`	V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V Platforms. CoRR Javier J. Poveda Rodrigo, Mohamed Amine Ahmdi, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini
2024	—	`conf`	Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. SAMOS Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2024	J	`jnl`	Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2024	A	`conf`	Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. DATE Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024	J	`jnl`	Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones. CoRR Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024	—	`conf`	BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. EMBC Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
2024	J	`jnl`	BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. CoRR Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
2024	J	`jnl`	Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. CoRR Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2024	J	`jnl`	Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction. CoRR Giovanni Pollo, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2024	J	`jnl`	Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers. CoRR Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini
2024	J	`jnl`	Deeploy: Enabling Energy-Efficient Deployment of Small Language Models on Heterogeneous Microcontrollers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Moritz Scherer, Luka Macan, Victor J. B. Jung, Philip Wiese, Luca Bompani, Alessio Burrello, Francesco Conti, Luca Benini
2024	—	`conf`	Driving Towards Safety: Online PPG-based Drowsiness Detection with TCNs. AICAS Pierangelo Maria Rapa, Mattia Orlandi, Andrea Amidei, Alessio Burrello, Roberto Rabbeni, Paolo Pavan, Luca Benini, Simone Benatti
2024	J	`jnl`	Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. IEEE Internet Things J. Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
2024	J	`jnl`	EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. CoRR Luca Benfenati, Sofia Belloni, Alessio Burrello, Panagiotis Kasnesis, Xiaying Wang, Luca Benini, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
2024	J	`jnl`	Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. IEEE Trans. Emerg. Top. Comput. Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2024	J	`jnl`	Foundation Models for Structural Health Monitoring. CoRR Luca Benfenati, Daniele Jahier Pagliari, Luca Zanatta, Yhorman Alexander Bedoya Velez, Andrea Acquaviva, Massimo Poncino, Enrico Macii, Luca Benini, Alessio Burrello
2024	J	`jnl`	HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. CoRR Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
2024	A	`conf`	HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. DATE Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	J	`jnl`	HW-SW Optimization of DNNs for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	—	`conf`	Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CF (Companion) Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2024	J	`jnl`	Integrating SystemC-AMS Power Modeling with a RISC-V ISS for Virtual Prototyping of Battery-operated Embedded Devices. CoRR Mohamed Amine Hamdi, Giovanni Pollo, Matteo Risso, Germain Haugou, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari
2024	J	`jnl`	Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks. CoRR Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024	J	`jnl`	MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. CoRR Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello
2024	—	`conf`	Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. BioCAS Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2024	J	`jnl`	Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. CoRR Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2024	—	`conf`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. ERF (1) Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024	J	`jnl`	Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones. CoRR Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024	J	`jnl`	Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari
2024	J	`jnl`	Optimizing Foundation Model Inference on a Many-Tiny-Core Open-Source RISC-V Platform. IEEE Trans. Circuits Syst. Artif. Intell. Viviane Potocnik, Luca Colagrande, Tim Fischer, Luca Bertaccini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
2024	J	`jnl`	Optimizing Foundation Model Inference on a Many-tiny-core Open-source RISC-V Platform. CoRR Viviane Potocnik, Luca Colagrande, Tim Fischer, Luca Bertaccini, Daniele Jahier Pagliari, Alessio Burrello, Luca Benini
2024	J	`jnl`	Optimizing the Deployment of Tiny Transformers on Low-Power MCUs. CoRR Victor J. B. Jung, Alessio Burrello, Moritz Scherer, Francesco Conti, Luca Benini
2024	—	`conf`	Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CF (Companion) Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello
2024	J	`jnl`	Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA. CoRR Nicolò Carpentieri, Juan Sapriza, Pasquale Davide Schiavone, Daniele Jahier Pagliari, David Atienza, Maurizio Martina, Alessio Burrello
2024	J	`jnl`	Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. IEEE Trans. Biomed. Circuits Syst. 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
2024	J	`jnl`	Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow. CoRR Philip Wiese, Gamze Islamoglu, Moritz Scherer, Luka Macan, Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini
2023	—	`conf`	A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. ISVLSI Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
2023	J	`jnl`	A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. CoRR Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
2023	J	`jnl`	A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR 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
2023	A*	`conf`	Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. ICRA Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
2023	J	`jnl`	Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. CoRR Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi
2023	J	`jnl`	Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes. CoRR Francesco Daghero, Alessio Burrello, Enrico Macii, Paolo Montuschi, Massimo Poncino, Daniele Jahier Pagliari
2023	A	`conf`	Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. DATE Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. CoRR Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices. CoRR Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2023	J	`jnl`	ExaMon-X: A Predictive Maintenance Framework for Automatic Monitoring in Industrial IoT Systems. IEEE Internet Things J. Andrea Borghesi, Alessio Burrello, Andrea Bartolini
2023	B	`conf`	Feature-Level Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. COMPSAC Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis
2023	A*	`conf`	HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. DAC Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
2023	J	`jnl`	Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. CoRR Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge. IEEE Trans. Computers Matteo Risso, Alessio Burrello, Francesco Conti, Lorenzo Lamberti, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	—	`—`	Optimizing AI at the Edge: from network topology design to MCU deployment. Alessio Burrello
2023	C	`conf`	PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. FDL Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023	J	`jnl`	PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization. CoRR Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023	A	`conf`	Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
2023	J	`jnl`	Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
2023	—	`conf`	RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project. SAMOS 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
2023	J	`jnl`	Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference. Sensors Chen Xie, Alessio Burrello, Francesco Daghero, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	Misc	`conf`	WIP: Automatic DNN Deployment on Heterogeneous Platforms: the GAP9 Case Study. CASES Luka Macan, Alessio Burrello, Luca Benini, Francesco Conti
2022	J	`jnl`	Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. CoRR Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	—	`conf`	Adversarially-Trained Tiny Autoencoders for Near-Sensor Continuous Structural Health Monitoring. AICAS Alessio Burrello, Giacomo Sintoni, Davide Brunelli, Luca Benini
2022	A	`conf`	Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. DATE Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. CoRR Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	—	`conf`	Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. IGSC Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes. CoRR Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	—	`conf`	EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. BioCAS Paola Busia, Andrea Cossettini, Thorir Mar Ingolfsson, Simone Benatti, Alessio Burrello, Moritz Scherer, Matteo Antonio Scrugli, Paolo Meloni, Luca Benini
2022	J	`jnl`	Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring. CoRR Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
2022	J	`jnl`	Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring. ACM Trans. Comput. Heal. Alessio Burrello, Daniele Jahier Pagliari, Pierangelo Maria Rapa, Matilde Semilia, Matteo Risso, Tommaso Polonelli, Massimo Poncino, Luca Benini, Simone Benatti
2022	J	`jnl`	Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. CoRR Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
2022	J	`jnl`	Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. CoRR Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
2022	J	`jnl`	Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring. IEEE Internet Things J. Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
2022	J	`jnl`	Fully Onboard AI-Powered Human-Drone Pose Estimation on Ultralow-Power Autonomous Flying Nano-UAVs. IEEE Internet Things J. Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
2022	J	`jnl`	Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. CoRR Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. ACM Trans. Embed. Comput. Syst. Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	—	`conf`	Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data. BioCAS Alessio Burrello, Daniele Jahier Pagliari, Marzia Bianco, Enrico Macii, Luca Benini, Massimo Poncino, Simone Benatti
2022	A	`conf`	Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. ISLPED Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. CoRR Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation. CoRR Panagiotis Kasnesis, Lazaros Toumanidis, Alessio Burrello, Christos Chatzigeorgiou, Charalampos Z. Patrikakis
2022	J	`jnl`	Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices. CoRR Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	Robust and Energy-efficient PPG-based Heart-Rate Monitoring. CoRR Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. CoRR Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
2022	J	`jnl`	Traffic Load Estimation from Structural Health Monitoring sensors using supervised learning. Sustain. Comput. Informatics Syst. Alessio Burrello, Giovanni Zara, Luca Benini, Davide Brunelli, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors. CoRR Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
2021	—	`conf`	A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes. COINS Alessio Burrello, Moritz Scherer, Marcello Zanghieri, Francesco Conti, Luca Benini
2021	C	`conf`	Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers. VLSI-SoC Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2021	J	`jnl`	An Ensemble of Hyperdimensional Classifiers: Hardware-Friendly Short-Latency Seizure Detection With Automatic iEEG Electrode Selection. IEEE J. Biomed. Health Informatics Alessio Burrello, Simone Benatti, Kaspar Schindler, Luca Benini, Abbas Rahimi
2021	J	`jnl`	DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. IEEE Trans. Computers Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
2021	—	`conf`	Damage Detection in Structural Health Monitoring with Spiking Neural Networks. MetroInd4.0&IoT Luca Zanatta, Francesco Barchi, Alessio Burrello, Andrea Bartolini, Davide Brunelli, Andrea Acquaviva
2021	—	`conf`	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
2021	J	`jnl`	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
2021	J	`jnl`	Embedded Streaming Principal Components Analysis for Network Load Reduction in Structural Health Monitoring. IEEE Internet Things J. Alessio Burrello, Alex Marchioni, Davide Brunelli, Simone Benatti, Mauro Mangia, Luca Benini
2021	J	`jnl`	Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs. CoRR Daniele Palossi, Nicky Zimmerman, Alessio Burrello, Francesco Conti, Hanna Müller, Luca Maria Gambardella, Luca Benini, Alessandro Giusti, Jérôme Guzzi
2021	—	`conf`	Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers. VLSI-SoC (Selected Papers) Francesco Daghero, Alessio Burrello, Chen Xie, Luca Benini, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2021	—	`conf`	Model-based vs. Data-driven Approaches for Anomaly Detection in Structural Health Monitoring: a Case Study. I2MTC Amirhossein Moallemi, Alessio Burrello, Davide Brunelli, Luca Benini
2021	A	`conf`	Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks. DATE Mohsen Seyedkazemi Ardebili, Marcello Zanghieri, Alessio Burrello, Francesco Beneventi, Andrea Acquaviva, Luca Benini, Andrea Bartolini
2021	A*	`conf`	Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. DAC Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino
2021	J	`jnl`	Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices. IEEE Trans. Biomed. Circuits Syst. Alessio Burrello, Daniele Jahier Pagliari, Matteo Risso, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2021	C	`conf`	Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. ISCAS Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino
2021	J	`jnl`	Spiking Neural Network-Based Near-Sensor Computing for Damage Detection in Structural Health Monitoring. Future Internet Francesco Barchi, Luca Zanatta, Emanuele Parisi, Alessio Burrello, Davide Brunelli, Andrea Bartolini, Andrea Acquaviva
2021	A	`conf`	TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. ISLPED Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino
2021	—	`conf`	Ultra-compact binary neural networks for human activity recognition on RISC-V processors. CF Francesco Daghero, Chen Xie, Daniele Jahier Pagliari, Alessio Burrello, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino
2021	—	`conf`	sEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller. COINS Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch Morinigo, Roberto Meattini, Gianluca Palli, Claudio Melchiorri, Luca Benini
2020	J	`jnl`	DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. CoRR Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
2020	—	`conf`	Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence. ICECS Francesco Daghero, Alessio Burrello, Daniele Jahier Pagliari, Luca Benini, Enrico Macii, Massimo Poncino
2020	—	`conf`	Enhancing Structural Health Monitoring with Vehicle Identification and Tracking. I2MTC Alessio Burrello, Davide Brunelli, Marzia Malavisi, Luca Benini
2020	J	`jnl`	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. Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
2020	—	`conf`	Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. Euro-Par Workshops Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino
2020	J	`jnl`	Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor. IEEE Trans. Biomed. Circuits Syst. Marcello Zanghieri, Simone Benatti, Alessio Burrello, Victor Javier Kartsch, Francesco Conti, Luca Benini
2020	—	`conf`	Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks. AICAS Marcello Zanghieri, Simone Benatti, Francesco Conti, Alessio Burrello, Luca Benini
2019	Misc	`conf`	DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress. CODES+ISSS Alessio Burrello, Francesco Conti, Angelo Garofalo, Davide Rossi, Luca Benini
2019	—	`conf`	Embedding principal component analysis for data reduction in structural health monitoring on low-cost IoT gateways. CF Alessio Burrello, Alex Marchioni, Davide Brunelli, Luca Benini
2019	A	`conf`	Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi
2018	—	`conf`	One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. BioCAS Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi
2018	J	`jnl`	One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing. CoRR Alessio Burrello, Kaspar Schindler, Luca Benini, Abbas Rahimi