activity
20162024
most citedMachine Learning for Microcontroller-Class Hardware: A Review

248 citations · 559 across the 12 of their papers we have counts for

collaborators

26 papers

eess.SP2024★ 9 cited

Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data

Marco Cominelli, Francesco Gringoli, Lance M. Kaplan +2

Wi-Fi devices can effectively be used as passive radar systems that sense what happens in the surroundings and can even discern human activity. We propose, for the first time, a pr…

cs.LG2022★ 248 cited

Machine Learning for Microcontroller-Class Hardware: A Review

Swapnil Sayan Saha, Sandeep Singh Sandha, Mani Srivastava

The advancements in machine learning opened a new opportunity to bring intelligence to the low-end Internet-of-Things nodes such as microcontrollers. Conventional machine learning…

cs.LG2022

Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics

Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi +4

The IoT vision of a trillion connected devices over the next decade requires reliable end-to-end connectivity and automated device management platforms. While we have seen successf…

cs.SD2021★ 2 cited

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor +6

In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymboli…

cs.CV2021★ 1 cited

Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss

Pengrui Quan, Ruiming Guo, Mani Srivastava

Recently, there has been a large amount of work towards fooling deep-learning-based classifiers, particularly for images, via adversarial inputs that are visually similar to the be…

cs.AI2020★ 2 cited

An Experimentation Platform for Explainable Coalition Situational Understanding

Katie Barrett-Powell, Jack Furby, Liam Hiley +8

We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML)…