activity
20192024
most citedMany-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems

8 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Formal Local Implication Between Two Neural Networks

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Given two neural network classifiers with the same input and output domains, our goal is to compare the two networks in relation to each other over an entire input region (e.g., wi…

cs.LG2024★ 1 cited

MetaWearS: A Shortcut in Wearable Systems Lifecycle with Only a Few Shots

Alireza Amirshahi, Maedeh H. Toosi, Siamak Mohammadi +5

Wearable systems provide continuous health monitoring and can lead to early detection of potential health issues. However, the lifecycle of wearable systems faces several challenge…

cs.LG2023

VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees

Anahita Baninajjar, Ahmed Rezine, Amir Aminifar

Machine learning techniques often lack formal correctness guarantees, evidenced by the widespread adversarial examples that plague most deep-learning applications. This lack of for…

eess.SP2022★ 8 cited

Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems

Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar +3

Integrating low-power wearable Internet of Things (IoT) systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables…

eess.SP2019★ 3 cited

Synthetic Epileptic Brain Activities Using Generative Adversarial Networks

Damian Pascual, Amir Aminifar, David Atienza +2

Epilepsy is a chronic neurological disorder affecting more than 65 million people worldwide and manifested by recurrent unprovoked seizures. The unpredictability of seizures not on…