Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
IEEE

SSCFormer: Push the Limit of Chunk-Wise Conformer for Streaming ASR Using Sequentially Sampled Chunks and Chunked Causal Convolution

Abstract: Currently, the chunk-wise schemes are often used to make Automatic Speech Recognition (ASR) models to support streaming deployment. However, existing approaches are unable to capture the ...
IEEE

Multilabel Concrete Bridge Damage Classification Using Graph Convolution

Abstract: In recent years, the evolution of convolutional neural networks (CNNs) has paved the way for the development of deep-learning-based visual inspection techniques to identify damages in ...
Scientific Research Publishing

Mlcoch, T., Hrnciarova, T., Tuzil, J., Zadak, J., Marian, M. and Dolezal, T. (2019) Propensity Score Weighting Using Overlap Weights: A New Method Applied to Regorafenib ...

ABSTRACT: Background: Propensity score methods have become a cornerstone of modern causal inference, enabling researchers to approximate the conditions of randomized experiments in observational ...