AI Medical Compendium

Toward Fair Federated Graph Learning.

IEEE transactions on neural networks and learning systems Jun 1, 2026

As a privacy-preserving collaborative paradigm, federated graph learning (FGL) enables distributed training of graph neural networks (GNNs) without exposing raw graph data. Subgraph-FL has become the dominant FGL paradigm, yet most studies focus on o... read more

Promoting Generalization for Exact Combinatorial Solvers via Adversarial Instance Augmentation.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Machine learning has been successfully applied to accelerate Mixed-Integer Linear Programming (MILP) solvers. However, the learning-based solvers often suffer from severe performance degradation on unseen MILP instances due to the limited number of t... read more

DBHN-Net: Dual-Branch Hybrid Neural Network for Low-Complexity Monaural Speech Enhancement.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

Although artificial neural network (ANN) based speech enhancement (SE) methods demonstrate excellent performance, the high computational complexity and high energy consumption hinder their deployment in practical front-end processing tasks. Currently... read more

FoundDiff: Foundational Diffusion Model for Generalizable Low-Dose CT Denoising.

IEEE transactions on medical imaging Jun 1, 2026

Low-dose computed tomography (CT) denoising is crucial for reduced radiation exposure while ensuring diagnostically acceptable image quality. Despite significant advancements driven by deep learning (DL) in recent years, existing DL-based methods, ty... read more

Local Surrogate Models With Residual Fuzzy Rules for Model-Agnostic Explanations.

IEEE transactions on cybernetics Jun 1, 2026

This study is concerned with the design of a linear regression model that contributes to local explanations of black-box regression models and a realization of fuzzy residual rules for enhancing the local fidelity (accuracy) of the linear explanation... read more

Supervised deep learning with gene functional annotation for cell classification.

PLoS computational biology Jun 1, 2026

Gene-by-gene differential expression analysis is a widely used supervised approach for interpreting single-cell RNA-sequencing (scRNA-seq) data. However, modern scRNA-seq datasets often contain large numbers of cells, leading to the identification of... read more

Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.

PloS one Jun 1, 2026

This study is not intended to establish a predictive framework for reaction yield. Instead, it is framed as a methodological investigation examining the statistical behavior and instability of regularized regression techniques when applied to ultra-s... read more

Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.

PLoS genetics Jun 1, 2026

Brain dynamics are constrained by the underlying topology of neuronal networks. How genes collaborate to organize these neural networks during development remains an enduring mystery. In humans, large numbers of genes have been implicated in neurodev... read more

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.

PloS one Jun 1, 2026

The growing sophistication of cyber threats and adversarial attacks poses critical challenges to the security and robustness of machine learning models deployed in real-world systems. While traditional deep learning architectures excel in clean data ... read more

Performance of Local Large Language Models for Adjudicating Heart Failure Hospitalizations.

Circulation Jun 1, 2026

Artificial Intelligence Medical Compendium