Welcome
Welcome to the MaD Lab!
The researchers in the Machine Learning and Data Analytics (MaD) lab conduct theoretical and applied research for wearable computing systems and machine learning algorithms for engineering applications at the intersection of sports and health care. Our motivation is generating a positive impact on human wellbeing, be it through increasing performance, maintaining health, improving rehabilitation, or monitoring disease.
Student theses and projects
Abstract: Clustering is at the very core of machine learning, and its applications proliferate with the increasing availability of data. However, as datasets grow, comparing clusterings with an adjustment for chance becomes computationally difficult, preventing unbiased ground-truth comparisons and ...
We are happy to share the news that our user study on Active Learning of Ordinal Embeddings by Löffler et al. is now published in the Transactions on Machine Learning Research (TMLR), see OpenReview. This work improves upon our prior work on information retrieval in a football trajectory dataset (se...
Title: Optimization-in-the-loop ML for energy and climate
When: Wednesday 26.04. 2pm-3pm via Zoom: https://fau.zoom.us/j/64359005780?pwd=MEdqVXVoN0QxNGVVTEhuSDBmclNmUT09
Speaker: Dr. Priya Donti (co-founder and Executive Director of Climate Change AI and MIT Assistant Professor from fall 2023)...
The MaD Lab’s Animal Behavior Research Group Team VERA published their latest dataset ??❄️
https://www.mdpi.com/2076-2615/13/5/801
Zuerl, M.; Dirauf, R.; Koeferl, F.; Steinlein, N.; Sueskind, J.; Zanca, D.; Brehm, I.; Fersen, L.v.; Eskofier, B. PolarBearVidID: A Video-Based Re-Identification ...
Exciting news! Our new paper has been published today in @PeerJ: https://peerj.com/articles/14852/. Our research explores the use of optimal control simulations in musculoskeletal models to reconstruct change of direction motions without prior knowledge of the motion path. Optimal control simulation...
