NTT Research, Inc. and NTT R&D, divisions of NTT , announced that their scientists will present nine papers at the International Conference on Learning Representations (ICLR) 2025 ...

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health ...

CW Code and Dataset for SMDS module at Coventry University. Applied Nonlinear Regression and Bayesian Inference techniques to analyze MEG brain responses from a simulated neuromarketing experiment.

This study explores the performance of hybrid bio-inspired algorithms and deep learning techniques for gene selection and cancer classification. Hybrid bio-inspired methods, inspired by natural ...

In this article, we propose the first unlearning attack dubbed unlearning attack for regression learning (UnAR) to deliberately influence the predictive behavior of the target sample against ...