Abstract: Dynamic facial expression recognition (DFER) infers emotions from the temporal evolution of expressions, unlike static facial expression recognition (SFER), which relies solely on a single ...
Abstract: Many modern Deep Learning (DL) systems have achieved impressive state-of-the-art results by combining individual sub-systems, including foundation models, to form increasingly more complex ...
The retail dataset is a combination of time series and geospatial data. The dataset contains four independent dimension/lookup tables and a sales table with more than 820,000 observations. It includes ...
The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
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