Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

The labeling process can be quite expensive because it requires experts, such as cardiologists, to go through millions of data points and label each instance of atrial ... the machine learning ...

Salesforce AI introduces BingoGuard, an LLM-based moderation system designed to address the inadequacies of binary classification by predicting both binary safety labels and detailed severity levels.

I wanted to use a neural network built with TensorFlow and Keras to predict future real estate prices based on property attributes like size, location, and market trends. Users can input details ...

Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan Graduate School of Science and Technology, Nara Institute of ...

Sentence-level emotion labels are masked during training to encourage the transformer to use the ASR output for word-level emotion prediction. During inference, word-level predictions are combined ...

Existing treatments can only delay the progression of spinocerebellar ataxia type 3/Machado-Joseph disease (SCA3/MJD) after onset, so the prediction of the age ... implemented in Python 3.8 using the ...

Objective: To build a machine learning (ML) prediction model for prostate cancer (PCa ... Finally, we selected the features with non-zero coefficients. Python scikit-learn 0.24.2 package (12) was used ...