Daniele Jahier Pagliari

152 papers A* 6A 20C 11Misc 1Journal 85Unranked 28

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`	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
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	J	`jnl`	Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. CoRR Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli
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	—	`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`	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	—	`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`	Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes. CoRR Lorenzo Ruotolo, Lara Orlandic, Pengbo Yu, Moritz Brunion, Daniele Jahier Pagliari, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Julien Ryckaert, Francky Catthoor, Yukai Chen
2025	—	`conf`	Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning. NewCAS Francesco Daghero, Gabriele Faraone, Eugenio Serianni, Nicola Di Carolo, Dario Licastro, Giovanna Antonella Franchino, Michelangelo Grosso, Daniele Jahier Pagliari
2025	J	`jnl`	Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology. CoRR Yukai Chen, Massimiliano Di Todaro, Bjorn Vermeersch, Herman Oprins, Daniele Jahier Pagliari, Julien Ryckaert, Dwaipayan Biswas, James Myers
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	A	`conf`	AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. DATE Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimír Janícek, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Stastný, Patrik Vacula, Giorgia Vitanza, Chen Xie
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	C	`conf`	Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. ICCD Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli
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	J	`jnl`	Information extraction from medical case reports using OpenAI InstructGPT. Comput. Methods Programs Biomed. Veronica Sciannameo, Daniele Jahier Pagliari, Sara Urru, Piercesare Grimaldi, Honoria Ocagli, Sara Ahsani-Nasab, Rosanna Irene Comoretto, Dario Gregori, Paola Berchialla
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`	Machine Learning-based feasibility estimation of digital blocks in BCD technology. DTTIS Francesco Daghero, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Nicola Di Carolo, Giovanna Antonella Franchino, Dario Licastro, Eugenio Serianni
2024	J	`jnl`	Machine Learning-based feasibility estimation of digital blocks in BCD technology. CoRR Gabriele Faraone, Francesco Daghero, Eugenio Serianni, Dario Licastro, Nicola Di Carolo, Michelangelo Grosso, Giovanna Antonella Franchino, Daniele Jahier Pagliari
2024	A	`conf`	Model-Driven Feature Engineering for Data-Driven Battery SOH Model. DATE Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino
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	—	`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
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	J	`jnl`	Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2023	J	`jnl`	Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. CoRR Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, 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	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	A	`conf`	Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
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
2022	J	`jnl`	A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy. J. Biomed. Informatics Veronica Sciannameo, Alessia Goffi, Giuseppe Maffeis, Roberta Gianfreda, Daniele Jahier Pagliari, Tommaso Filippini, Pamela Mancuso, Paolo Giorgi-Rossi, Leonardo Alberto Dal Zovo, Angela Corbari, Marco Vinceti, Paola Berchialla
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	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	C	`conf`	C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR Yukai Chen, Roberta Chiaro, 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	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	—	`conf`	Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. PRIME Chen Xie, Daniele Jahier Pagliari, Andrea Calimera
2022	J	`jnl`	Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. CoRR Chen Xie, Daniele Jahier Pagliari, Andrea Calimera
2022	J	`jnl`	Guest Editorial: Thematic Section on Applications of Emerging Computing Technologies in Smart Manufacturing and Industry 4.0. IEEE Trans. Emerg. Top. Comput. Daniele Jahier Pagliari, Frank Schirrmeister, Nader Bagherzadeh, Enrico Macii
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	C	`conf`	Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2022	J	`jnl`	Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. CoRR Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
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	—	`conf`	Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
2022	J	`jnl`	Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
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	J	`jnl`	A Microservices-Based Framework for Smart Design and Optimization of PV Installations. IEEE Trans. Sustain. Comput. Sara Vinco, Daniele Jahier Pagliari, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Massimo Poncino
2021	A	`conf`	ACME: An Energy-Efficient Approximate Bus Encoding for I ISLPED Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino
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`	Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. IEEE Trans. Instrum. Meas. Yukai Chen, Wenlong Wang, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2021	J	`jnl`	CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino
2021	J	`jnl`	Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
2021	J	`jnl`	Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. Daniele Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino
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	J	`jnl`	Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. Proc. IEEE Tania Cerquitelli, Daniele Jahier Pagliari, Andrea Calimera, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino
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	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
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	A*	`conf`	Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. DAC Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino
2020	J	`jnl`	Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. IEEE Trans. Sustain. Comput. Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Paolo Montuschi, Enrico Macii, Massimo Poncino
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
2019	J	`jnl`	A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. ACM Trans. Design Autom. Electr. Syst. Sara Vinco, Nicola Bombieri, Daniele Jahier Pagliari, Franco Fummi, Enrico Macii, Massimo Poncino
2019	—	`conf`	A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. ICECS Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2019	J	`jnl`	Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2019	J	`jnl`	Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. Donkyu Baek, Yukai Chen, Alberto Bocca, Lorenzo Bottaccioli, Santa Di Cataldo, Valentina Gatteschi, Daniele Jahier Pagliari, Edoardo Patti, Gianvito Urgese, Naehyuck Chang, Alberto Macii, Enrico Macii, Paolo Montuschi, Massimo Poncino
2019	A	`conf`	CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino
2019	—	`conf`	Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. ACM Great Lakes Symposium on VLSI Daniele Jahier Pagliari, Francesco Panini, Enrico Macii, Massimo Poncino
2019	J	`jnl`	Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Daniele Jahier Pagliari, Yves Durand, David Coriat, Edith Beigné, Enrico Macii, Massimo Poncino
2019	A	`conf`	Irradiance-Driven Partial Reconfiguration of PV Panels. DATE Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
2019	A*	`conf`	Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
2019	—	`conf`	Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino
2018	A	`conf`	All-digital embedded meters for on-line power estimation. DATE Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino
2018	C	`conf`	Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. ISCAS Daniele Jahier Pagliari, Massimo Poncino
2018	—	`conf`	Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices. ACM Great Lakes Symposium on VLSI Yukai Chen, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2018	—	`—`	Design Techniques for Energy-Quality Scalable Digital Systems. Daniele Jahier Pagliari
2018	A	`conf`	Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. ISLPED Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2018	J	`jnl`	LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2017	A	`conf`	A methodology for the design of dynamic accuracy operators by runtime back bias. DATE Daniele Jahier Pagliari, Yves Durand, David Coriat, Anca Molnos, Edith Beigné, Enrico Macii, Massimo Poncino
2017	J	`jnl`	Accelerators for Breast Cancer Detection. ACM Trans. Embed. Comput. Syst. Daniele Jahier Pagliari, Mario R. Casu, Luca P. Carloni
2017	J	`jnl`	Approximate Energy-Efficient Encoding for Serial Interfaces. ACM Trans. Design Autom. Electr. Syst. Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2017	—	`conf`	Optimal content-dependent dynamic brightness scaling for OLED displays. PATMOS Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2016	—	`conf`	Approximate Differential Encoding for Energy-Efficient Serial Communication. ACM Great Lakes Symposium on VLSI Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2016	A	`conf`	Low-overhead adaptive constrast enhancement and power reduction for OLEDs. DATE Daniele Jahier Pagliari, Massimo Poncino, Enrico Macii
2016	A*	`conf`	Serial T0: approximate bus encoding for energy-efficient transmission of sensor signals. DAC Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
2015	—	`conf`	A low-cost, fast, and accurate microwave imaging system for breast cancer detection. BioCAS Daniele Jahier Pagliari, Azzurra Pulimeno, Marco Vacca, Jorge A. Tobon, Francesca Vipiana, Mario R. Casu, Raffaele Solimene, Luca P. Carloni
2015	C	`conf`	Acceleration of microwave imaging algorithms for breast cancer detection via High-Level Synthesis. ICCD Daniele Jahier Pagliari, Mario R. Casu, Luca P. Carloni
2015	C	`conf`	An automated design flow for approximate circuits based on reduced precision redundancy. ICCD Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino
2015	—	`conf`	Microwave Imaging for Breast Cancer Detection: A COTS-Based Prototype. ApplePies Azzurra Pulimeno, Marco Vacca, Mario R. Casu, Jorge A. Tobon, Francesca Vipiana, Daniele Jahier Pagliari, Raffaele Solimene, Luca P. Carloni