Academic Articles & Research Papers

Scalable and accurate deep learning with electronic health records

Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variabl...

Tourism demand forecasting: A deep learning approach

Deep Learning with R

Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples...

Neural Networks and Deep Learning

Predicting cell-state-specific gene regulation from DNA across species.

A benchmarking framework for perturbational signature recontextualization across biological contexts.

Veterinary drug residues in animal-derived foods: From analytical detection to intelligent and sustainable surveillance.

Building from the ground up: augmentation strategies to improve protein language model performance on protein sets.

Fine mapping of early adipogenesis identifies committed progenitors with dual white and beige potential.

Shared clinical and neural features of PTSD, dissociative disorders, and limbic epilepsy: a narrative review.

Use of natural language processing method to identify regional anesthesia from clinical notes.

A pilot study of virtual Harm Reduction Talking Circles for American Indian and Alaska Native adults with alcohol use disorder.

High mechanical thrombectomy procedural volume is not a reliable predictor of improved thrombectomy outcomes in patients with acute ischemic stroke in the United States.

The gut-brain axis and pain signalling mechanisms in the gastrointestinal tract.

Nucleosome Linker Length and Distribution as Major Players in Epigenetic Regulation: Insights from Cryo-Electron Microscopy and Modeling of Retina Cell Maturation.

Voluntary Group Programs For Men Who Use Violence: A Scoping Review.

Improving deep learning-based segmentation of diatoms in gigapixel-sized virtual slides by object-based tile positioning and object integrity constraint

Diatoms represent one of the morphologically and taxonomically most diverse groups of microscopic eukaryotes. Light microscopy-based taxonomic identification and enumeration of frustules, the silica shells of these microalgae, is broadly us...

ASAVACT: Arabic sentiment analysis for vaccine-related COVID-19 tweets using deep learning

COVID-19 has become a global pandemic that has affected not only the health sector but also economic, social, and psychological well-being. Individuals are using social media platforms to communicate their feelings and sentiments about the ...

Detection of Atrial Fibrillation Using a Machine Learning Approach

The atrial fibrillation (AF) is one of the most well-known cardiac arrhythmias in clinical practice, with a prevalence of 1–2% in the community, which can increase the risk of stroke and myocardial infarction. The detection of AF electrocar...

An Ownership Verification Mechanism Against Encrypted Forwarding Attacks in Data-Driven Social Computing

Data-driven deep learning has accelerated the spread of social computing applications. To develop a reliable social application, service providers need massive data on human behavior and interactions. As the data is highly relevant to users...