activity
20192024
most citedSample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation

13 citations · 32 across the 8 of their papers we have counts for

collaborators
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2023

A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition

Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger +5

Objective: The objective of the study is to efficiently increase the expressivity of surface electromyography-based (sEMG) gesture recognition systems. Approach: We use a problem t…