Abstract: Process mining is a suitable method for knowledge extraction from patient pathways. Structured in event logs, medical events are complex, often described using various medical codes. An ...
Abstract: Dynamic multiobjective optimization problem (DMOP) denotes the multiobjective optimization problem, which contains objectives that may vary over time. Due to the widespread applications of ...
In 2019, US House of Representatives Speaker Nancy Pelosi was the subject of a targeted and pretty low-tech deepfake-style attack, when real video of her was edited to make her appear drunk – an ...
Any quant will tell you that modelling multiple yield curves is no easy task. Most fixed income instruments have numerous term structures, each with 10–15 maturities, that share a hard-to-model, ...
DAMON leverages manifold learning and variational autoencoding to achieve obstacle avoidance, allowing for motion planning through adaptive graph traversal in a pre-learned low-dimensional ...
Masked autoencoders (MAEs) are a self-supervised pretraining strategy for vision transformers (ViTs) that masks-out patches in an input image and then predicts the missing regions. Although the ...
We present an efficient method of pretraining large-scale autoencoding language models using training signals generated by an auxiliary model. Originated in ELECTRA, this training strategy has ...
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