outperforming state-of-the-art models in both regression and classification tasks. While these results highlight the model’s potential as a highly accurate and efficient tool for real-time water ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

This study presents linear mixed model-based approaches for MET data analysis. Ten MET grain yield datasets from national variety trials in Ethiopia were used. Randomized complete block (RCB) design ...

Runway, a startup developing a range of generative AI models for media production, including video-generating models, has raised $308 million in a Series D funding round. General Atlantic led the ...

Abstract: Deep neural network (DNN)-based models for environmental sound classification are not robust against a domain to which training data do not belong, that is, out-of-distribution or unseen ...

APLR allows you to build predictive and interpretable regression or classification machine learning models in Python, using the Automatic Piecewise Linear Regression (APLR) methodology developed by ...