Academic Articles & Research Papers

Optimal Trend Labeling in Financial Time Series

Predicting asset price trends is often posed as a classification problem, where trends are classified as positive or negative. Since asset price series are noisy and volatile, it is difficult to distinguish true trends from short-term fluct...

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

Predicting adolescent depression: an interpretable machine learning model.

AmyloDeep: protein language model-based ensemble model for predicting amyloid propensity from the amino acid sequence.

An Examination of Factors Predicting Inpatient Rehabilitation Stay After Burn Injury: A Burns Model System Study.

Defining and predicting outcomes of a work-injuries rehabilitation program through multivariate baseline phenotypes and longitudinal modeling.

Estimated glucose disposal rate outperforms other insulin resistance surrogate indices in predicting cardiometabolic disease and major adverse cardiovascular events in metabolic dysfunction-associated steatotic liver disease: insights from UK Biobank.

Explainable machine learning for predicting in-hospital mortality in acute heart failure: a prospective single-center cohort study from Vietnam.

Early plasma cell-free DNA and monocyte human leukocyte antigen-DR expression for predicting 28-day mortality in sepsis: A single-center prospective cohort study with internal validation.

The role of the lung ultrasound in the delivery room for predicting the need for neonatal intensive care admission in neonates.

Mapping the subcellular pharmacokinetic-pharmacodynamic landscape: a systems-pharmacology framework for predicting combination therapies against intracellular bacterial infections.

ExNCDIA: an explainable ensemble learning framework for predicting non-chemotherapy drug-induced agranulocytosis and interpreting structural associations.

A transformer-based deep learning model for predicting the use of atherectomy devices during PCI from preprocedural cardiac computed tomography angiography.

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study.

Silent echoes: understanding and predicting the widespread mental health impact of mass shootings.

Predicting the Current Potential Suitable Habitat of Pinus tabuliformis in China Using Multi-Source Environmental Data and Ensemble Learning Models.

Predicting the Potential Distribution of Plantago asiatica L. in Jiangxi Province Under Climate Change Scenarios Using the MaxEnt Model.

Predicting the geographical distribution of drug use disorder in Sweden from the geographical variation in social deprivation, genetic risk and urbanization.

Predicting the status of 35 sustainable development goal indicators in Indian villages: a semi-supervised machine learning approach for precision public policy.

Preoperative CT and inflammatory index-based risk scores for predicting short-term recurrence following resection of pancreatic ductal adenocarcinoma.