55 citations · 143 across the 14 of their papers we have counts for
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cs.LG2022★ 2 cited
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes
Alex Fedorov, Eloy Geenjaar, Lei Wu +7
Recent neuroimaging studies that focus on predicting brain disorders via modern machine learning approaches commonly include a single modality and rely on supervised over-parameter…
cs.LG2022★ 37 cited
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Amin Shabani, Amir Abdi, Lili Meng +1
The performance of time series forecasting has recently been greatly improved by the introduction of transformers. In this paper, we propose a general multi-scale framework that ca…