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2020 – today
- 2024
[j26]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: 108326 (2024)- [j25]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): 742-757 (2024) - [j24]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. IEEE Trans. Emerg. Top. Comput. 12(3): 780-794 (2024) - [c50]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 - [c49]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 - [c48]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: 1-6 - [c47]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: 1-6 - [c46]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: 1-6 - [c45]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: 1-6 - [i40]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 abs/2401.15236 (2024) - [i39]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 abs/2402.01226 (2024) - [i38]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 abs/2402.15273 (2024) - [i37]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 abs/2403.01236 (2024) - [i36]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 abs/2404.01861 (2024) - [i35]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 abs/2404.02944 (2024) - [i34]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 abs/2405.19284 (2024) - [i33]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 abs/2406.07453 (2024) - [i32]Francesco Daghero, Alessio Burrello, Massimo Poncino, Enrico Macii, Daniele Jahier Pagliari:
Accelerating Depthwise Separable Convolutions on Ultra-Low-Power Devices. CoRR abs/2406.12478 (2024) - [i31]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 abs/2406.19189 (2024) - [i30]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 abs/2407.01054 (2024) - [i29]Alessio Burrello, Francesco Carlucci, Giovanni Pollo, Xiaying Wang, Massimo Poncino, Enrico Macii, Luca Benini, Daniele Jahier Pagliari:
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. CoRR abs/2409.07485 (2024) - [i28]Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari:
Optimizing DNN Inference on Multi-Accelerator SoCs at Training-time. CoRR abs/2409.18566 (2024) - [i27]Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis:
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data. CoRR abs/2410.04802 (2024) - [i26]Gabriele Faraone, Francesco Daghero, Eugenio Serianni, Dario Licastro, Nicola Di Carolo, Michelangelo Grosso, Giovanna Antonella Franchino, Daniele Jahier Pagliari:
Machine Learning-based feasibility estimation of digital blocks in BCD technology. CoRR abs/2410.07989 (2024) - [i25]Mohamed Amine Hamdi, Francesco Daghero, Giuseppe Maria Sarda, Josse Van Delm, Arne Symons, Luca Benini, Marian Verhelst, Daniele Jahier Pagliari, Alessio Burrello:
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices. CoRR abs/2410.08855 (2024) - 2023
- [j23]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): 13895-13907 (2023) - [j22]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): 2065 (2023) - [j21]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): 744-758 (2023) - [c44]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: 1-6 - [c43]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: 1-6 - [c42]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: 1-8 - [c41]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: 6065-6071 - [c40]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: 1-6 - [c39]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: 1-6 - [c38]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: 363-378 - [i24]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 abs/2301.10281 (2023) - [i23]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 abs/2303.01931 (2023) - [i22]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 abs/2304.06059 (2023) - [i21]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 abs/2306.05060 (2023) - [i20]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 abs/2306.06129 (2023) - [i19]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 abs/2306.09789 (2023) - [i18]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 abs/2307.09488 (2023) - [i17]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 abs/2310.07217 (2023) - 2022
- [j20]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): 19:1-19:25 (2022) - [j19]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: 104132 (2022) - [j18]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: 100704 (2022) - [j17]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): 46:1-46:28 (2022) - [j16]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): 6-8 (2022) - [c37]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: 153-157 - [c36]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: 1443-1448 - [c35]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: 1-6 - [c34]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: 1332-1336 - [c33]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. ISCAS 2022: 1512-1516 - [c32]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: 28:1-28:6 - [c31]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. PRIME 2022: 173-176 - [c30]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: 181-184 - [i16]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 abs/2203.04396 (2022) - [i15]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 abs/2203.12925 (2022) - [i14]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 abs/2203.12932 (2022) - [i13]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 abs/2203.14768 (2022) - [i12]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 abs/2203.14907 (2022) - [i11]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 abs/2203.16339 (2022) - [i10]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 abs/2204.03431 (2022) - [i9]Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
C-NMT: A Collaborative Inference Framework for Neural Machine Translation. CoRR abs/2204.04043 (2022) - [i8]Chen Xie, Daniele Jahier Pagliari, Andrea Calimera:
Energy-efficient and Privacy-aware Social Distance Monitoring with Low-resolution Infrared Sensors and Adaptive Inference. CoRR abs/2204.10539 (2022) - [i7]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 abs/2204.10541 (2022) - [i6]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 abs/2205.12781 (2022) - [i5]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 abs/2205.13838 (2022) - [i4]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 abs/2206.00302 (2022) - [i3]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs. CoRR abs/2206.07652 (2022) - [i2]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 abs/2206.08852 (2022) - [i1]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 abs/2209.00839 (2022) - 2021
- [j15]Francesco Daghero, Daniele Jahier Pagliari, Massimo Poncino:
Chapter Eight - Energy-efficient deep learning inference on edge devices. Adv. Comput. 122: 247-301 (2021) - [j14]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): 399-422 (2021) - [j13]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): 1196-1209 (2021) - [j12]Daniele Jahier Pagliari, Roberta Chiaro, Enrico Macii, Massimo Poncino:
CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks. IEEE Trans. Computers 70(10): 1626-1639 (2021) - [j11]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): 1625-1636 (2021) - [j10]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: 1-15 (2021) - [j9]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): 531-543 (2021) - [c29]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: 3-11 - [c28]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: 1015-1020 - [c27]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: 1-5 - [c26]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: 1-6 - [c25]Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
ACME: An Energy-Efficient Approximate Bus Encoding for I2C. ISLPED 2021: 1-6 - [c24]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: 1-6 - [c23]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: 25-47 - 2020
- [j8]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): 552-567 (2020) - [c22]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: 1-6 - [c21]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: 277-289 - [c20]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: 1-4
2010 – 2019
- 2019
- [j7]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Automated Synthesis of Energy-Efficient Reconfigurable-Precision Circuits. IEEE Access 7: 172030-172044 (2019) - [j6]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): 1042-1055 (2019) - [j5]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): 27:1-27:23 (2019) - [j4]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): 5471-5482 (2019) - [c19]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. DAC 2019: 111 - [c18]Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino:
Irradiance-Driven Partial Reconfiguration of PV Panels. DATE 2019: 884-889 - [c17]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: 69-74 - [c16]Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Enrico Macii, Massimo Poncino:
Optimal Input-Dependent Edge-Cloud Partitioning for RNN Inference. ICECS 2019: 442-445 - [c15]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: 919-922 - [c14]Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino:
CNN-Based Camera-less User Attention Detection for Smartphone Power Management. ISLPED 2019: 1-6 - 2018
- [b1]Daniele Jahier Pagliari:
Design Techniques for Energy-Quality Scalable Digital Systems. Polytechnic University of Turin, Italy, 2018 - [j3]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
LAPSE: Low-Overhead Adaptive Power Saving and Contrast Enhancement for OLEDs. IEEE Trans. Image Process. 27(9): 4623-4637 (2018) - [c13]Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino:
All-digital embedded meters for on-line power estimation. DATE 2018: 737-742 - [c12]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: 201-206 - [c11]Daniele Jahier Pagliari, Massimo Poncino:
Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. ISCAS 2018: 1-5 - [c10]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. ISLPED 2018: 47:1-47:6 - 2017
- [j2]Daniele Jahier Pagliari, Mario R. Casu, Luca P. Carloni:
Accelerators for Breast Cancer Detection. ACM Trans. Embed. Comput. Syst. 16(3): 80:1-80:25 (2017) - [j1]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Approximate Energy-Efficient Encoding for Serial Interfaces. ACM Trans. Design Autom. Electr. Syst. 22(4): 64:1-64:25 (2017) - [c9]Daniele Jahier Pagliari, Yves Durand, David Coriat, Anca Molnos, Edith Beigné, Enrico Macii, Massimo Poncino:
A methodology for the design of dynamic accuracy operators by runtime back bias. DATE 2017: 1165-1170 - [c8]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Optimal content-dependent dynamic brightness scaling for OLED displays. PATMOS 2017: 1-6 - 2016
- [c7]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Serial T0: approximate bus encoding for energy-efficient transmission of sensor signals. DAC 2016: 14:1-14:6 - [c6]Daniele Jahier Pagliari, Massimo Poncino, Enrico Macii:
Low-overhead adaptive constrast enhancement and power reduction for OLEDs. DATE 2016: 343-348 - [c5]Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino:
Approximate Differential Encoding for Energy-Efficient Serial Communication. ACM Great Lakes Symposium on VLSI 2016: 421-426 - 2015
- [c4]Azzurra Pulimeno, Marco Vacca, Mario R. Casu, Jorge A. Tobon, Francesca Vipiana, Daniele Jahier Pagliari, Raffaele Solimene, Luca P. Carloni:
Microwave Imaging for Breast Cancer Detection: A COTS-Based Prototype. ApplePies 2015: 25-34 - [c3]Daniele Jahier Pagliari, Azzurra Pulimeno, Marco Vacca, Jorge A. Tobon, Francesca Vipiana, Mario R. Casu, Raffaele Solimene, Luca P. Carloni:
A low-cost, fast, and accurate microwave imaging system for breast cancer detection. BioCAS 2015: 1-4 - [c2]Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino:
An automated design flow for approximate circuits based on reduced precision redundancy. ICCD 2015: 86-93 - [c1]Daniele Jahier Pagliari, Mario R. Casu, Luca P. Carloni:
Acceleration of microwave imaging algorithms for breast cancer detection via High-Level Synthesis. ICCD 2015: 475-478
Coauthor Index
[j25] [j24] [c50] [c49] [c46] [c45] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [j22] [j21] [c44] [c43] [c42] [c41] [c39] [c38] [i24] [i23] [i21] [i20] [i19] [i18] [i17] [j20] [j18] [j17] [c37] [c36] [c35] [c32] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i6] [i5] [i4] [i2] [i1] [j13] [c29] [c28] [c27] [c26] [c24] [c23] [c21] [c20]
[j25] [j24] [c49] [c48] [c45] [i39] [i38] [i36] [i35] [i32] [i30] [i29] [i27] [j23] [j22] [j21] [c43] [c40] [c39] [i24] [i22] [i21] [i20] [i19] [i17] [j18] [j17] [j16] [c37] [c36] [c35] [c34] [c33] [c32] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [i5] [i4] [i2] [i1] [j13] [j12] [j11] [j10] [j9] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j8] [c22] [c21] [c20] [j7] [j6] [j5] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [j3] [c13] [c12] [c10] [j1] [c9] [c8] [c7] [c6] [c5] [c2]
[j25] [c49] [c48] [c45] [i39] [i38] [i36] [i35] [i32] [i30] [i29] [i27] [j23] [j22] [j21] [c43] [c40] [c39] [i24] [i22] [i21] [i20] [i19] [j20] [j18] [j17] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [j8] [c22] [c21] [c20] [j7] [j6] [j5] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [j3] [c13] [c12] [c11] [c10] [j1] [c9] [c8] [c7] [c6] [c5] [c2]
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