no code implementations • 6 Nov 2023 • Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Anomaly detection frameworks using autoencoders and their variants can be used for fall detection due to the data imbalance that arises from the rarity and diversity of falls.
1 code implementation • 25 Jun 2022 • Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
From a machine learning perspective, developing an effective fall detection system is challenging because of the rarity and variability of falls.
no code implementations • EMNLP (ClinicalNLP) 2020 • Alister D Costa, Stefan Denkovski, Michal Malyska, Sae Young Moon, Brandon Rufino, Zhen Yang, Taylor Killian, Marzyeh Ghassemi
Next, we present MSBC, a classifier that applies MS-BERT to generate embeddings and predict EDSS and functional subscores.