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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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11/09/2020
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Chronic kidney disease (CKD) is a gradual loss of renal function over ti...
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10/28/2020
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks
Activity recognition using built-in sensors in smart and wearable device...
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06/12/2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Image classification is central to the big data revolution in medicine. ...
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06/11/2020
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes...
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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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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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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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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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10/10/2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
The wide implementation of electronic health record (EHR) systems facili...
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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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09/26/2017
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification
This paper introduces a novel real-time Fuzzy Supervised Learning with B...
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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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04/24/2017
GaKCo: a Fast GApped k-mer string Kernel using COunting
String Kernel (SK) techniques, especially those using gapped k-mers as f...
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02/18/2016
Weighted Unsupervised Learning for 3D Object Detection
This paper introduces a novel weighted unsupervised learning for object ...
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03/22/2015
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
Searching through a large volume of data is very critical for companies,...
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03/01/2015
Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges
Past research has challenged us with the task of showing relational patt...
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03/01/2015