Search Results for author:
Found 23 papers, 10 papers with code
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 such a fast-paced growing domain.
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 time, and it increases the risk of mortality, decreased quality of life, as well as serious complications.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks
We evaluate our model on the Extrasensory dataset; a dataset collected in the wild and containing data from smartphones and smartwatches.
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Image classification is central to the big data revolution in medicine.
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
First, the diagnosis between CD, EE, and Normal biopsies is considered, but the main challenge with this diagnosis technique is the staining problem.
Gender Detection on Social Networks using Ensemble Deep Learning
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship.
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 groups and in recent years these efforts have increasingly extended to women.
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
These results demonstrate the diagnostic power of the proposed model for CD severity classification using histological images.
Text Classification Algorithms: A Survey
In this paper, a brief overview of text classification algorithms is discussed.
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
We evaluated the performance of our proposed model using a large cohort containing 1000 biopsy images.
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition
This method could provide another way to collect users' activities during an online session given that the session recorder collected the data.
Analysis of Railway Accidents' Narratives Using Deep Learning
These reports contain a variety of fixed field entries including primary cause of the accidents (a coded variable with 389 values) as well as a narrative field which is a short text description of the accident.
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
The wide implementation of electronic health record (EHR) systems facilitates the collection of large-scale health data from real clinical settings.
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
In this paper, we describe RMDL model and compare the results for image and text classification as well as face recognition.
RMDL: Random Multimodel Deep Learning for Classification
This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification
This paper introduces a novel real-time Fuzzy Supervised Learning with Binary Meta-Feature (FSL-BM) for big data classification task.
HDLTex: Hierarchical Deep Learning for Text Classification
This is because along with this growth in the number of documents has come an increase in the number of categories.
Ranked #1 on
Document Classification
on WOS-46985
GaKCo: a Fast GApped k-mer string Kernel using COunting
This is because current gk-SK uses a trie-based algorithm to calculate co-occurrence of mismatched substrings resulting in a time cost proportional to $O(\Sigma^{M})$.
Weighted Unsupervised Learning for 3D Object Detection
This paper introduces a novel weighted unsupervised learning for object detection using an RGB-D camera.
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
In this paper, a new technique of generating FuzzyFind Dictionary for text mining was introduced.
23-bit Metaknowledge Template Towards Big Data Knowledge Discovery and Management
The global influence of Big Data is not only growing but seemingly endless.
Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges
Past research has challenged us with the task of showing relational patterns between text-based data and then clustering for predictive analysis using Golay Code technique.
Comparison three methods of clustering: k-means, spectral clustering and hierarchical clustering
Comparison of three kind of the clustering and find cost function and loss function and calculate them.
