Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
IEEE

Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification

Abstract: Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance ...
IEEE

Constructing new loss functions for machine learning using strict continuous Archimedean t-norms

Abstract: We propose a unified approach to integrating reasoning and deep learning by introducing Strict Differentiable Fuzzy Logics, a family of logics built on first-order fuzzy logic and driven ...