Modern Views of Machine Learning for Precision Psychiatry

4 April 2022

Papers citing "Modern Views of Machine Learning for Precision Psychiatry"

6 / 6 papers shown

Title
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector Reza Hassanpour Kasim Oztoprak Niels Netten Tony Busker Mortaza S. Bargh Sunil Choenni Beyza Kizildag Leyla Sena Kilinc 26 79 0 26 Dec 2024
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation Haotian Qian YD Chen Shengtao Lou F. Khan Xiaogang Jin Deng-Ping Fan DiffM 29 6 0 26 Dec 2024
Robust Speech and Natural Language Processing Models for Depression Screening Y. Lu A. Harati T. Rutowski R. Oliveira P. Chlebek E. Shriberg AI4MH 26 5 0 26 Dec 2024
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus Amir Harati Elizabeth Shriberg Tomasz Rutowski Piotr Chlebek Yang Lu Ricardo Oliveira 83 21 0 22 Dec 2024
Fusing multimodal neuroimaging data with a variational autoencoder Eloy P. T. Geenjaar N. Lewis Z. Fu Rohan Venkatdas Sergey Plis Vince D. Calhoun 11 9 0 03 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 0 27 Apr 2021