USat: A Unified Self-Supervised Encoder for Multi-Sensor Satellite Imagery

1 code implementation • 2 Dec 2023 • Jeremy Irvin, Lucas Tao, Joanne Zhou, Yuntao Ma, Langston Nashold, Benjamin Liu, Andrew Y. Ng

Large, self-supervised vision models have led to substantial advancements for automatically interpreting natural images.

Psychotic Relapse Prediction in Schizophrenia Patients using A Mobile Sensing-based Supervised Deep Learning Model

no code implementations • 24 May 2022 • Bishal Lamichhane, Joanne Zhou, Akane Sano

The CrossCheck dataset consisting of continuous mobile sensing data obtained from 63 schizophrenia patients, each monitored for up to a year, was used for our evaluations.

Anomaly Detection

Routine Clustering of Mobile Sensor Data Facilitates Psychotic Relapse Prediction in Schizophrenia Patients

no code implementations • 22 Jun 2021 • Joanne Zhou, Bishal Lamichhane, Dror Ben-Zeev, Andrew Campbell, Akane Sano

The clustering model based features, together with other features characterizing the mobile sensing data, resulted in an F2 score of 0. 24 for the relapse prediction task in a leave-one-patient-out evaluation setting.

Clustering