Daniele Jahier Pagliari

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 106

Top Venues

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)
Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino
Model-Driven Feature Engineering for Data-Driven Battery SOH Model. DATE (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)
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
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. DATE (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)
Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR (2024)
Veronica Sciannameo, Daniele Jahier Pagliari, Sara Urru, Piercesare Grimaldi, Honoria Ocagli, Sara Ahsani-Nasab, Rosanna Irene Comoretto, Dario Gregori, Paola Berchialla
Information extraction from medical case reports using OpenAI InstructGPT. Comput. Methods Programs Biomed. 255 (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)
Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco
Model-Driven Dataset Generation for Data-Driven Battery SOH Models. ISLPED (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, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. IEEE Internet Things J. 10 (15) (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)
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)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays. 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. 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)
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)
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)
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)
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)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. 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)
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
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 132 (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)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME (2022)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR (2022)
Daniele Jahier Pagliari, Frank Schirrmeister, Nader Bagherzadeh, Enrico Macii
Guest Editorial: Thematic Section on Applications of Emerging Computing Technologies in Smart Manufacturing and Industry 4.0. IEEE Trans. Emerg. Top. Comput. 10 (1) (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)
Chen Xie, Daniele Jahier Pagliari, Andrea Calimera
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. CoRR (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)
Chen Xie, Daniele Jahier Pagliari, Andrea Calimera
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. PRIME (2022)
Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. ISCAS (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)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS (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)
Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. 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 Jahier Pagliari, Santa Di Cataldo, Edoardo Patti, Alberto Macii, Enrico Macii, Massimo Poncino
Low-Overhead Adaptive Brightness Scaling for Energy Reduction in OLED Displays. IEEE Trans. Emerg. Top. Comput. 9 (3) (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, 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)
Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino
C. ISLPED (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)
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)
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)
Sara Vinco, Daniele Jahier Pagliari, Lorenzo Bottaccioli, Edoardo Patti, Enrico Macii, Massimo Poncino
A Microservices-Based Framework for Smart Design and Optimization of PV Installations. IEEE Trans. Sustain. Comput. 6 (4) (2021)
Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino
Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. 122 (2021)
Yukai Chen, Wenlong Wang, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Assessing the Impact of Sensor-Based Task Scheduling on Battery Lifetime in IoT Devices. IEEE Trans. Instrum. Meas. 70 (2021)
Tania Cerquitelli, Daniele Jahier Pagliari, Andrea Calimera, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino
Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools. Proc. IEEE 109 (4) (2021)
Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70 (10) (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)
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)
Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino
Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. DAC (2020)
Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Paolo Montuschi, Enrico Macii, Massimo Poncino
Modeling and Simulation of Cyber-Physical Electrical Energy Systems With SystemC-AMS. IEEE Trans. Sustain. Comput. 5 (4) (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, 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)
Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
Irradiance-Driven Partial Reconfiguration of PV Panels. DATE (2019)
Sara Vinco, Nicola Bombieri, Daniele Jahier Pagliari, Franco Fummi, Enrico Macii, Massimo Poncino
A Cross-level Verification Methodology for Digital IPs Augmented with Embedded Timing Monitors. ACM Trans. Design Autom. Electr. Syst. 24 (3) (2019)
Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino
Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC (2019)
Yukai Chen, Sara Vinco, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
A Semi-Empirical Model of PV Modules Including Manufacturing I-V Mismatch. ICECS (2019)
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
Battery-Aware Operation Range Estimation for Terrestrial and Aerial Electric Vehicles. IEEE Trans. Veh. Technol. 68 (6) (2019)
Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino
Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS (2019)
Daniele Jahier Pagliari, Francesco Panini, Enrico Macii, Massimo Poncino
Dynamic Beam Width Tuning for Energy-Efficient Recurrent Neural Networks. ACM Great Lakes Symposium on VLSI (2019)
Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino
CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED (2019)
Daniele Jahier Pagliari, Yves Durand, David Coriat, Edith Beigné, Enrico Macii, Massimo Poncino
Fine-Grain Back Biasing for the Design of Energy-Quality Scalable Operators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (6) (2019)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access 7 (2019)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. ISLPED (2018)
Yukai Chen, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Battery-aware Design Exploration of Scheduling Policies for Multi-sensor Devices. ACM Great Lakes Symposium on VLSI (2018)
Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino
All-digital embedded meters for on-line power estimation. DATE (2018)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. 27 (9) (2018)
Daniele Jahier Pagliari, Massimo Poncino
Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. ISCAS (2018)
Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino
Optimal content-dependent dynamic brightness scaling for OLED displays. PATMOS (2017)

Daniele Jahier Pagliari.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Daniele Jahier Pagliari