Daniele Jahier Pagliari
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Late Breaking Results: CHESSY: Coupled Hybrid Emulation with SystemC-FPGA Synchronization. | Lorenzo Ruotolo, Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco, Alessio Burrello, Daniele Jahier Pagliari |
| 2025 | CASES | Design and Optimization for AI/ML Acceleration on Resource-constrained and Edge Systems. | Jalil Boukhobza, Alessio Burrello, Yuan-Hao Chang, Yawei Li, Daniele Jahier Pagliari, Chun-Feng Wu, Ming-Chang Yang, Tsun-Yu Yang |
| 2025 | DATE | Multi-Partner Project: Advancing the EDA Tools Landscape for the European RISC-V Ecosystem in TRISTAN. | 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, Arnr Kristmundsson, Alexander Schober, To Bernier, Matti Kyr, Ulf Schlichtmann, Rocco Jonack |
| 2025 | DATE | Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction. | Giovanni Pollo, Alessio Burrello, Enrico Macii, Massimo Poncino, Sara Vinco, Daniele Jahier Pagliari |
| 2025 | FDL | Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design. | Giovanni Pollo, Andrei Mihai Albu, Alessio Burrello, Daniele Jahier Pagliari, Cristian Tesconi, Loris Panaro, Dario Soldi, Fabio Autieri, Sara Vinco |
| 2025 | ISLPED | MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. | 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 |
| 2024 | DATE | Model-Driven Feature Engineering for Data-Driven Battery SOH Model. | Khaled Alamin, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Sara Vinco, Massimo Poncino |
| 2024 | DATE | AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques. | Giulia Elena Aliffi, Joao Baixinho, Dalibor Barri, Francesco Daghero, Nicola Di Carolo, Gabriele Faraone, Michelangelo Grosso, Daniele Jahier Pagliari, Jiri Jakovenko, Vladimr Jancek, Dario Licastro, Vazgen Melikyan, Matteo Risso, Vittorio Romano, Eugenio Serianni, Martin Stastn, Patrik Vacula, Giorgia Vitanza, Chen Xie |
| 2024 | DATE | Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones. | Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello |
| 2024 | DATE | HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays. | Matteo Risso, Chen Xie, Francesco Daghero, Alessio Burrello, Seyedmorteza Mollaei, Marco Castellano, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2024 | ICCD | Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. | Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli |
| 2023 | DAC | HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. | Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst |
| 2023 | DATE | Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation. | Alessio Burrello, Matteo Risso, Noemi Tomasello, Yukai Chen, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2023 | FDL | PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization. | Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello |
| 2023 | ICRA | Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs. | Elia Cereda, Luca Crupi, Matteo Risso, Alessio Burrello, Luca Benini, Alessandro Giusti, Daniele Jahier Pagliari, Daniele Palossi |
| 2023 | ISLPED | Model-Driven Dataset Generation for Data-Driven Battery SOH Models. | Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo, Daniele Jahier Pagliari, Yukai Chen, Enrico Macii, Massimo Poncino, Sara Vinco |
| 2023 | ISLPED | Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. | Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari |
| 2022 | DATE | Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition. | Alessio Burrello, Francesco Bianco Morghet, Moritz Scherer, Simone Benatti, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2022 | ISCAS | C-NMT: A Collaborative Inference Framework for Neural Machine Translation. | Yukai Chen, Roberta Chiaro, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2022 | ISCAS | Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs. | Chen Xie, Francesco Daghero, Yukai Chen, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2022 | ISLPED | Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks. | Matteo Risso, Alessio Burrello, Luca Benini, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari |
| 2021 | DAC | Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks. | Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Francesco Conti, Lorenzo Lamberti, Enrico Macii, Luca Benini, Massimo Poncino |
| 2021 | ISCAS | Robust and Energy-Efficient PPG-Based Heart-Rate Monitoring. | Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari, Simone Benatti, Enrico Macii, Luca Benini, Massimo Poncino |
| 2021 | ISLPED | TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference. | Alessio Burrello, Alberto Dequino, Daniele Jahier Pagliari, Francesco Conti, Marcello Zanghieri, Enrico Macii, Luca Benini, Massimo Poncino |
| 2021 | ISLPED | ACME: An Energy-Efficient Approximate Bus Encoding for I | Chen Xie, Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino |
| 2020 | DAC | Input-Dependent Edge-Cloud Mapping of Recurrent Neural Networks Inference. | Daniele Jahier Pagliari, Roberta Chiaro, Yukai Chen, Sara Vinco, Enrico Macii, Massimo Poncino |
| 2020 | EuroPar | Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks. | Alessio Burrello, Daniele Jahier Pagliari, Andrea Bartolini, Luca Benini, Enrico Macii, Massimo Poncino |
| 2019 | DAC | Low-Overhead Power Trace Obfuscation for Smart Meter Privacy. | Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino |
| 2019 | DATE | Irradiance-Driven Partial Reconfiguration of PV Panels. | Daniele Jahier Pagliari, Sara Vinco, Enrico Macii, Massimo Poncino |
| 2019 | ISLPED | CNN-Based Camera-less User Attention Detection for Smartphone Power Management. | Daniele Jahier Pagliari, Matteo Ansaldi, Enrico Macii, Massimo Poncino |
| 2018 | DATE | All-digital embedded meters for on-line power estimation. | Daniele Jahier Pagliari, Valentino Peluso, Yukai Chen, Andrea Calimera, Enrico Macii, Massimo Poncino |
| 2018 | ISCAS | Application-Driven Synthesis of Energy-Efficient Reconfigurable-Precision Operators. | Daniele Jahier Pagliari, Massimo Poncino |
| 2018 | ISLPED | Dynamic Bit-width Reconfiguration for Energy-Efficient Deep Learning Hardware. | Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino |
| 2017 | DATE | A methodology for the design of dynamic accuracy operators by runtime back bias. | Daniele Jahier Pagliari, Yves Durand, David Coriat, Anca Molnos, Edith Beign, Enrico Macii, Massimo Poncino |
| 2016 | DAC | Serial T0: approximate bus encoding for energy-efficient transmission of sensor signals. | Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino |
| 2016 | DATE | Low-overhead adaptive constrast enhancement and power reduction for OLEDs. | Daniele Jahier Pagliari, Massimo Poncino, Enrico Macii |
| 2015 | ICCD | Acceleration of microwave imaging algorithms for breast cancer detection via High-Level Synthesis. | Daniele Jahier Pagliari, Mario R. Casu, Luca P. Carloni |
| 2015 | ICCD | An automated design flow for approximate circuits based on reduced precision redundancy. | Daniele Jahier Pagliari, Andrea Calimera, Enrico Macii, Massimo Poncino |