A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
New method for matrix completion with row and column similarities.
Proposes FDR-corrected sparse CCA for neuroimaging and genomics.
Systematic review of multimodal data challenges and solutions.
New framework for multi-domain translation using autoencoders.
Paper proposes an optimal framework for tensor estimation across various applications.
LOL improves data representations for disease classification.
We investigate the choice of tuning parameters for a Bayesian multi-level group lasso model developed for the joint analysis of neuroimaging and genetic data. The regression model we consider relates multivariate phenotypes consisting of brain summary measures (volumetric and cortical thickness values) to single nucleo…
AI improves healthcare diagnostics and predictions.
Motivation: Recent advances in technology for brain imaging and high-throughput genotyping have motivated studies examining the influence of genetic variation on brain structure. Wang et al. (Bioinformatics, 2012) have developed an approach for the analysis of imaging genomic studies using penalized multi-task regressi…