IEEE

Sparse Bayesian Learning-Based Kernel Poisson Regression

Abstract: In this paper, we introduce a closed-form sparse Bayesian kernel Poisson regression (SBKPR) model for count data regression problems based on the sparse Bayesian learning (SBL) approach. In ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Stacked Denoising Autoencoders Based Poisson Regression For Count Data Modeling

Abstract: Data-driven virtual-sensors or soft-sensors are important tools for predicting quality variables or KPIs in many industrial processes. However, the existing virtual-sensors models are ...
GitHub

ByungKwanLee/Causal-Adversarial-Instruments

This is an Official PyTorch Implementation code for developing Adversarial Instrumental Variable Regression based on Adversarial Moment Restriction on Generalized Method of Moments (AMR-GMM) and ...
GitHub

A Matlab toolbox for Gaussian process regression, classification and preference learning

If you use this software, please reference it as follows : Tristan Fauvel (2021) GP_toolbox, a Matlab toolbox for Gaussian process regression, classification and preference learning. Gaussian process ...