activity
20222025
most citedLightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

48 citations · 84 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2025

MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design

Giovanni Pollo, Mohamed Amine Hamdi, Matteo Risso +9

Virtual Platforms (VPs) enable early software validation of autonomous systems' electronics, reducing costs and time-to-market. While many VPs support both functional and non-funct…

eess.SP2024★ 5 cited

Model-Driven Dataset Generation for Data-Driven Battery SOH Models

Khaled Sidahmed Sidahmed Alamin, Francesco Daghero, Giovanni Pollo +5

Estimating the State of Health (SOH) of batteries is crucial for ensuring the reliable operation of battery systems. Since there is no practical way to instantaneously measure it a…

eess.SP2023★ 5 cited

Energy-efficient Wearable-to-Mobile Offload of ML Inference for PPG-based Heart-Rate Estimation

Alessio Burrello, Matteo Risso, Noemi Tomasello +5

Modern smartwatches often include photoplethysmographic (PPG) sensors to measure heartbeats or blood pressure through complex algorithms that fuse PPG data with other signals. In t…

cs.CV2023★ 21 cited

Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays

Chen Xie, Francesco Daghero, Yukai Chen +6

Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energy-efficient, and privacy-preserving solution for people counting, with applications such as occupancy monito…

cs.LG2023★ 48 cited

Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge

Matteo Risso, Alessio Burrello, Francesco Conti +6

Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the structure of Deep Learning (DL) models for complex tasks such as Image Classification or Obj…

cs.LG2022★ 5 cited

A Machine Learning-based Digital Twin for Electric Vehicle Battery Modeling

Khaled Sidahmed Sidahmed Alamin, Yukai Chen, Enrico Macii +2

The widespread adoption of Electric Vehicles (EVs) is limited by their reliance on batteries with presently low energy and power densities compared to liquid fuels and are subject…

cs.LG2022

Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs

Chen Xie, Francesco Daghero, Yukai Chen +6

Low-resolution infrared (IR) array sensors offer a low-cost, low-power, and privacy-preserving alternative to optical cameras and smartphones/wearables for social distance monitori…

cs.LG2022

C-NMT: A Collaborative Inference Framework for Neural Machine Translation

Yukai Chen, Roberta Chiaro, Enrico Macii +2

Collaborative Inference (CI) optimizes the latency and energy consumption of deep learning inference through the inter-operation of edge and cloud devices. Albeit beneficial for ot…