Articles

Measurement bias detection with Kronecker product restricted models for multivariate longitudinal data: an illustration with health-related quality of life data from thirteen measurement occasions

in Quantitative Psychology and Measurement

• Mathilde G. E. Verdam
• Frans J. Oort

Comparison of two methods for analysis of gene–environment interactions in longitudinal family data: the Framingham heart study

in Statistical Genetics and Methodology

• Yun Ju Sung
• Jeannette Simino
• Rezart Kume
• Jacob Basson
• Karen Schwander
• D C Rao

Constant-Beamwidth Kronecker Product Beamforming With Nonuniform Planar Arrays

in Signal Processing Theory

• Ariel Frank
• Israel Cohen

Algebraic and toroidal representation of the genetic code

in Mathematical Biology

• Rodrigo Rodríguez-Gutiérrez
• Francisco Hernandez-Cabrera
• Francisco Javier Almaguer-Martínez
• José De Jesús Bernal-Alvarado

A Novel COVID-19-Related Drug Discovery Approach Based on Non-Equidimensional Data Clustering

in Experimental Pharmacology and Drug Discovery

• Bolin Chen
• Yourui Han
• Xuequn Shang
• Shenggui Zhang

Perspective method for reconfigurable intelligent surface design for NOMA transmission: Theoretical study

in Wireless Communications

• V. Kontorovich

A Reduced-Order RNN Model for Solving Lyapunov Equation Based on Efficient Vectorization Method

in Smart Grids

• Zhiying Chen
• Zhaobin Du
• Feng Li
• Chengjun Xia

Algorithm unfolding for block-sparse and MMV problems with reduced training overhead

in Mathematics of Computation and Data Science

• Jan Christian Hauffen
• Peter Jung
• Nicole Mücke

Predicting depression by using a novel deep learning model and video-audio-text multimodal data

in Digital Mental Health

• Yifu Li
• Xueping Yang
• Meng Zhao
• Jiangtao Wang
• Yudong Yao
• Wei Qian
• Shouliang Qi

Real block-circulant matrices and DCT-DST algorithm for transformer neural network

in Mathematics of Computation and Data Science

• Euis Asriani
• Intan Muchtadi-Alamsyah
• Ayu Purwarianti

Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

• Feng Zhao
• Tianyu Gao
• Zhi Cao
• Xiaobo Chen
• Yanyan Mao
• Ning Mao
• Yande Ren

Multi-frequency wavefield modeling of acoustic VTI wave equation using physics informed neural networks

in Solid Earth Geophysics

• Ali Imran Sandhu
• Umair bin Waheed
• Chao Song
• Oliver Dorn
• Pantelis Soupios

ProMMF_Kron: a multimodal deep learning model for immunotherapy response prediction in stomach adenocarcinoma

in Cancer Immunity and Immunotherapy

• Chenchen Wang
• Weikun Liu
• Dongmei Ai
• Xiuqin Liu

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square

in Computational Genomics

• Yan Zhao
• Xing Chen
• Jun Yin