"PACEAttention: Principled and Adaptive Feature Compression-Expansion Grounded in the Geometry of MCR2", has been accepted by ICML'26. Authors are: Xiaojie Yu, Haibo Zhang, Jeremiah D. Deng, and Lizhi Peng.
"Obesity, microRNACirculating MicroRNA Signatures Reveal Core and Reversible Dysregulations in Obesity via Machine Learning", is published by Journal of Physiology. Authors are: Yuan Yue, Rajesh Katare, Jeremiah D. Deng, Patrick John Manning, and Daniel Alencar Da Costa.
"Machine Learning-Based Identification of Abnormal Functional Connectivity in Obesity Across Different Metabolic States", is published by Nature Communications Medicine. Authors are: Yuan Yue, Patrick Manning, Dirk De Ridder, Matthew Hall, Divya Bharatkumar Adhia, Samantha Ross, Daniel Alencar da Costa, and Jeremiah D. Deng.
Jean's paper, "EEG Connectivity Features Associated with Fibromyalgia Revealed by Machine Learning", is accepted by Frontiers in Pain Research. Co-authors include J. Deng, D. Adhia, M. Hall, R Mani and D De Ridder.
We employ multi-level textual cues, class-balanced resampling, and a cross-architecture knowledge-distilation component to enhance accuracy and efficiency in histopathological image classification.
A modified forward sequential subset search method is proposed to diverge from local minima and branch out alternative feature selections that achieve better class separability of EEG functionaly connectivity features of chronic pain patients and healthy controls.