1.3k citations · 2.3k across the 23 of their papers we have counts for
24 papers
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Masoud Bashiri, Kamran Kowsari
The advent of Large Language Models (LLMs) and Artificial Intelligence (AI) tools has revolutionized various facets of our lives, particularly in the realm of social media. For stu…
Toward a Knowledge Discovery Framework for Data Science Job Market in the United States
Mojtaba Heidarysafa, Kamran Kowsari, Masoud Bashiri +1
The growth of the data science field requires better tools to understand such a fast-paced growing domain. Moreover, individuals from different backgrounds became interested in fol…
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba +3
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. The…
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks
Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi +2
Activity recognition using built-in sensors in smart and wearable devices provides great opportunities to understand and detect human behavior in the wild and gives a more holistic…
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari, Rasoul Sali, Lubaina Ehsan +7
Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have show…
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Kamran Kowsari
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes of malnutrition and adversely impact normal childhood development. Both conditions require a tissue biopsy…
Gender Detection on Social Networks using Ensemble Deep Learning
Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya +3
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship. Document…
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya +3
Online propaganda is central to the recruitment strategies of extremist groups and in recent years these efforts have increasingly extended to women. To investigate ISIS' approach…
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
Rasoul Sali, Lubaina Ehsan, Kamran Kowsari +4
Celiac Disease (CD) is a chronic autoimmune disease that affects the small intestine in genetically predisposed children and adults. Gluten exposure triggers an inflammatory cascad…
Text Classification Algorithms: A Survey
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa +3
In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to acc…
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
Kamran Kowsari, Rasoul Sali, Marium N. Khan +7
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes of malnutrition and adversely impact normal childhood development. CD is an autoimmune disorder that is pre…
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition
Mojtaba Heidarysafa, James Reed, Kamran Kowsari +3
Tracking users' activities on the World Wide Web (WWW) allows researchers to analyze each user's internet behavior as time passes and for the amount of time spent on a particular d…
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang, Kamran Kowsari, James H. Harrison +2
The wide implementation of electronic health record (EHR) systems facilitates the collection of large-scale health data from real clinical settings. Despite the significant increas…
Analysis of Railway Accidents' Narratives Using Deep Learning
Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes +1
Automatic understanding of domain specific texts in order to extract useful relationships for later use is a non-trivial task. One such relationship would be between railroad accid…
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown +2
The exponential growth in the number of complex datasets every year requires more enhancement in machine learning methods to provide robust and accurate data classification. Lately…
RMDL: Random Multimodel Deep Learning for Classification
Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown +2
The continually increasing number of complex datasets each year necessitates ever improving machine learning methods for robust and accurate categorization of these data. This pape…
HDLTex: Hierarchical Deep Learning for Text Classification
Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa +3
The continually increasing number of documents produced each year necessitates ever improving information processing methods for searching, retrieving, and organizing text. Central…
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification
Kamran Kowsari, Nima Bari, Roman Vichr +1
This paper introduces a novel real-time Fuzzy Supervised Learning with Binary Meta-Feature (FSL-BM) for big data classification task. The study of real-time algorithms addresses se…
GaKCo: a Fast GApped k-mer string Kernel using COunting
Ritambhara Singh, Arshdeep Sekhon, Kamran Kowsari +3
String Kernel (SK) techniques, especially those using gapped -mers as features (gk), have obtained great success in classifying sequences like DNA, protein, and text. However, t…
Weighted Unsupervised Learning for 3D Object Detection
Kamran Kowsari, Manal H. Alassaf
This paper introduces a novel weighted unsupervised learning for object detection using an RGB-D camera. This technique is feasible for detecting the moving objects in the noisy en…
Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications
Kamran Kowsari, Maryam Yammahi, Nima Bari +3
Searching through a large volume of data is very critical for companies, scientists, and searching engines applications due to time complexity and memory complexity. In this paper,…
Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges
Nima Bari, Roman Vichr, Kamran Kowsari +1
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. We focu…
23-bit Metaknowledge Template Towards Big Data Knowledge Discovery and Management
Nima Bari, Roman Vichr, Kamran Kowsari +1
The global influence of Big Data is not only growing but seemingly endless. The trend is leaning towards knowledge that is attained easily and quickly from massive pools of Big Dat…
Comparison three methods of clustering: k-means, spectral clustering and hierarchical clustering
Kamran Kowsari
Comparison of three kind of the clustering and find cost function and loss function and calculate them. Error rate of the clustering methods and how to calculate the error percenta…