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09/07/2023
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
Recently, deep learning-based methods achieved promising performance in ...
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10/05/2022
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid
Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an e...
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07/29/2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Two major causes of death in the United States and worldwide are stroke ...
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06/29/2022
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised Segmentation
In this work, we propose a mutual information (MI) based unsupervised do...
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04/26/2022
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
Exercise testing has been available for more than a half-century and is ...
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12/02/2021
Improving mathematical questioning in teacher training
High-fidelity, AI-based simulated classroom systems enable teachers to r...
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12/02/2021
Evaluation of mathematical questioning strategies using data collected through weak supervision
A large body of research demonstrates how teachers' questioning strategi...
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06/14/2021
Toward a Knowledge Discovery Framework for Data Science Job Market in the United States
The growth of the data science field requires better tools to understand...
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06/13/2021
HistoTransfer: Understanding Transfer Learning for Histopathology
Advancement in digital pathology and artificial intelligence has enabled...
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03/19/2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
In recent years, the availability of digitized Whole Slide Images (WSIs)...
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01/13/2021
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision
Eosinophilic Esophagitis (EoE) is an inflammatory esophageal disease whi...
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05/08/2020
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
Deep convolutional neural networks (CNNs) have been successful for a wid...
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04/13/2020
Gender Detection on Social Networks using Ensemble Deep Learning
Analyzing the ever-increasing volume of posts on social media sites such...
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02/01/2020
Dialogue-based simulation for cultural awareness training
Existing simulations designed for cultural and interpersonal skill train...
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12/09/2019
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
Online propaganda is central to the recruitment strategies of extremist ...
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10/07/2019
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
Celiac Disease (CD) is a chronic autoimmune disease that affects the sma...
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09/04/2019
Self-Attentive Adversarial Stain Normalization
Hematoxylin and Eosin (H&E) stained Whole Slide Images (WSIs) are utiliz...
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08/08/2019
Deep Learning for Visual Recognition of Environmental Enteropathy and Celiac Disease
Physicians use biopsies to distinguish between different but histologica...
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04/17/2019
Text Classification Algorithms: A Survey
In recent years, there has been an exponential growth in the number of c...
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04/10/2019
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes...
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11/15/2018
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition
Tracking users' activities on the World Wide Web (WWW) allows researcher...
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11/02/2018
Exploring Gaze Behavior to Assess Performance in Digital Game-Based Learning Systems
The recent growth of sophisticated digital gaming technologies has spawn...
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10/17/2018
Analysis of Railway Accidents' Narratives Using Deep Learning
Automatic understanding of domain specific texts in order to extract use...
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08/23/2018
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
The exponential growth in the number of complex datasets every year requ...
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05/03/2018
RMDL: Random Multimodel Deep Learning for Classification
The continually increasing number of complex datasets each year necessit...
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09/24/2017
HDLTex: Hierarchical Deep Learning for Text Classification
The continually increasing number of documents produced each year necess...
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11/03/2016