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.
Study assesses linear classifiers for virus genotyping and subtyping.
Paper derives policy rules from observational data for hepatitis C treatment.
This paper analyzes complex equilibria in a networked bivirus epidemic model.
Study assesses sugar beet yields under EU's neonicotinoids ban and climate change.
Motivation: HIV is difficult to treat because its virus mutates at a high rate and mutated viruses easily develop resistance to existing drugs. If the relationships between mutations and drug resistances can be determined from historical data, patients can be provided personalized treatment according to their own mutat…
Paper uses ML to classify liver diseases from clinical data.
DeepVir uses deep matrix factorization to predict antivirals for COVID-19.
Machine learning identifies potential drugs for COVID-19.
New algorithm classifies and generates genomic sequences using RG-flow categorifier.
In this work we propose a method for anatomical data augmentation that is based on using slices of computed tomography (CT) examinations that are adjacent to labeled slices as another resource of labeled data for training the network. The extended labeled data is used to train a U-net network for a pixel-wise classific…
Percolation on complex networks has been used to study computer viruses, epidemics, and other casual processes. Here, we present conditions for the existence of a network specific, observation dependent, phase transition in the updated posterior of node states resulting from actively monitoring the network. Since tradi…
Phylogenetic tree inference using deep DNA sequencing is reshaping our understanding of rapidly evolving systems, such as the within-host battle between viruses and the immune system. Densely sampled phylogenetic trees can contain special features, including "sampled ancestors" in which we sequence a genotype along wit…
Icosahedral virus capsids are composed of symmetrons, organized arrangements of capsomers. There are three types of symmetrons: disymmetrons, trisymmetrons, and pentasymmetrons, which have different shapes and are centered on the icosahedral 2-fold, 3-fold and 5-fold axes of symmetry, respectively. In 2010 [Sinkovits &…
Many immunization strategies have been proposed to prevent infectious viruses from spreading through a network. In this study, we propose efficient immunization strategies to prevent a default contagion that might occur in a financial network. An essential difference from the previous studies on immunization strategy i…
Many problems that appear in biomedical decision making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The costs of false positives and false negatives vary across application domains and receiver operating characteristic (ROC) curves provide a visu…
Framework predicts mortality risk in MAFLD subjects.
Method predicts NAFLD risk with high accuracy and distribution-free coverage guarantees.
Lipid necks, large curvature bridges, are shown to be metastable.
Model predicts future term connections in biomedical research.
Viral zoonoses have emerged as the key drivers of recent pandemics. Human infection by zoonotic viruses are either spillover events -- isolated infections that fail to cause a widespread contagion -- or species jumps, where successful adaptation to the new host leads to a pandemic. Despite expensive bio-surveillance ef…
Emergenet predicts animal influenza strain emergence, outperforming current methods.
Paper optimizes clustering with bandit feedback, reducing errors.
The application of machine learning to bioinformatics problems is well established. Less well understood is the application of bioinformatics techniques to machine learning and, in particular, the representation of non-biological data as biosequences. The aim of this paper is to explore the effects of giving amino acid…
Mosquitoes are vectors of many human diseases. In particular, Aedes ægypti (Linnaeus) is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a global threat. Public health policies that aim at combating this vector require dependable and timely information, which is usually expe…
DCENWCNet improves WBC classification with LIME-based explainability.
Deep learning tackles low-photon nanoscale holographic phase retrieval.
Incremental machine learning models predict COVID-19 cases more efficiently than traditional methods.
This thesis tackles causality in machine learning, improving OOD generalization and robustness.
Climate-contingent finance helps adapt to uncertain climate risks.