BD²: Breakthrough Discoveries for thriving with Bipolar Disorder today announced the first public release of data from the ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The dataset consists of 5-second-long ...
Over the last decade or so, fans have been searching for NBA Draft classes to rival those of the past. The 2003, 1996 and 1984 classes are widely regarded as the best of the bunch. Since the careers ...
The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Abstract: Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in ...
Abstract: In this paper, we introduce a framework for multi-class novelty detection using structural vibration signals. Structural vibration-based person identification is a promising soft-biometric ...
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