Kamran Kowsari
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View article: Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning
Transformative Influence of LLM and AI Tools in Student Social Media Engagement: Analyzing Personalization, Communication Efficiency, and Collaborative Learning Open
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 students, these advancements have unlocked unprecedented oppor…
View article: Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer
Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer Open
Objectives Tertiary and quaternary (TQ) care refers to complex cases requiring highly specialized health services. Our study aimed to compare the ability of a natural language processing (NLP) model to an existing human workflow in predict…
View article: E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes Open
Background Shareable e-scooters have become popular, but injuries to riders and bystanders have not been well characterized. The goal of this study was to describe e-scooter injuries and estimate the rate of injury per e-scooter trip. Meth…
View article: Toward a Knowledge Discovery Framework for Data Science Job Market in\n the United States
Toward a Knowledge Discovery Framework for Data Science Job Market in\n the United States Open
The growth of the data science field requires better tools to understand such\na fast-paced growing domain. Moreover, individuals from different backgrounds\nbecame interested in following a career as data scientists. Therefore,\nproviding…
View article: Toward a Knowledge Discovery Framework for Data Science Job Market in the United States
Toward a Knowledge Discovery Framework for Data Science Job Market in the United States Open
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 following a career as data scientists. Therefore, providing a …
View article: Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
Artificial Intelligence‐based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection Open
Objectives: Striking histopathological overlap between distinct but related conditions poses a disease diagnostic challenge. There is a major clinical need to develop computational methods enabling clinicians to translate heterogeneous bio…
View article: Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics
Prediction of Celiac Disease Severity and Associated Endocrine Morbidities through Deep Learning-based Image Analytics Open
Objective Develop a deep learning-based methodology using the foundations of systems pathology to generate highly accurate predictive tools for complex gastrointestinal diseases, using celiac disease (CD) as a prototype. Design To predict …
View article: HHAR-net: Hierarchical Human Activity Recognition using Neural Networks
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks Open
View article: Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients Open
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 prevalence of CKD has been increasing in the last couple o…
View article: Artificial Intelligence-Based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection
Artificial Intelligence-Based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection Open
Objectives Striking histopathological overlap between distinct but related conditions poses a significant disease diagnostic challenge. There is a major clinical need to develop computational methods enabling clinicians to translate hetero…
View article: Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches Open
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes of malnutrition and adversely impact normal childhood development. Both conditions require a tissue biopsy for diagnosis and a major challenge of interpreting clinica…
View article: Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group Open
View article: Women in ISIS Propaganda: A Natural Language Processing Analysis of\n Topics and Emotions in a Comparison with Mainstream Religious Group
Women in ISIS Propaganda: A Natural Language Processing Analysis of\n Topics and Emotions in a Comparison with Mainstream Religious Group Open
Online propaganda is central to the recruitment strategies of extremist\ngroups and in recent years these efforts have increasingly extended to women.\nTo investigate ISIS' approach to targeting women in their online propaganda and\nuncove…
View article: Program Committee and Reviewers
Program Committee and Reviewers Open
View article: CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks Open
Celiac Disease (CD) is a chronic autoimmune disease that affects the small intestine in genetically predisposed children and adults. Gluten exposure triggers an inflammatory cascade which leads to compromised intestinal barrier function. I…
View article: Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks Open
View article: CeliacNet: Celiac Disease Severity Diagnosis on Duodenal\n Histopathological Images Using Deep Residual Networks
CeliacNet: Celiac Disease Severity Diagnosis on Duodenal\n Histopathological Images Using Deep Residual Networks Open
Celiac Disease (CD) is a chronic autoimmune disease that affects the small\nintestine in genetically predisposed children and adults. Gluten exposure\ntriggers an inflammatory cascade which leads to compromised intestinal barrier\nfunction…
View article: Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy\n Images Using Color Balancing on Convolutional Neural Networks
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy\n Images Using Color Balancing on Convolutional Neural Networks Open
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes of\nmalnutrition and adversely impact normal childhood development. CD is an\nautoimmune disorder that is prevalent worldwide and is caused by an increased\nsensitivi…
View article: FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification
FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification Open
View article: Analysis of Railway Accidents' Narratives Using Deep Learning
Analysis of Railway Accidents' Narratives Using Deep Learning Open
Automatic understanding of domain specific texts in order to extract useful\nrelationships for later use is a non-trivial task. One such relationship would\nbe between railroad accidents' causes and their correspondent descriptions in\nrep…
View article: From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition Open
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 domain. This analysis can be used in research design, as res…
View article: From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior\n with Optical Character Recognition
From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior\n with Optical Character Recognition Open
Tracking users' activities on the World Wide Web (WWW) allows researchers to\nanalyze each user's internet behavior as time passes and for the amount of time\nspent on a particular domain. This analysis can be used in research design, as\n…
View article: An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL) Open
The exponential growth in the number of complex datasets every year requires\nmore enhancement in machine learning methods to provide robust and accurate\ndata classification. Lately, deep learning approaches have achieved surpassing\nresu…
View article: GaKCo: a Fast Gapped<i>k</i>-mer string Kernel using Counting
GaKCo: a Fast Gapped<i>k</i>-mer string Kernel using Counting Open
String Kernel (SK) techniques, especially those using gapped k -mers as features (gk), have obtained great success in classifying sequences like DNA, protein, and text. However, the state-of-the-art gk-SK runs extremely slow when we increa…
View article: Identification of Imminent Suicide Risk Among Young Adults using Text Messages
Identification of Imminent Suicide Risk Among Young Adults using Text Messages Open
Suicide is the second leading cause of death among young adults but the challenges of preventing suicide are significant because the signs often seem invisible. Research has shown that clinicians are not able to reliably predict when someo…
View article: Web of Science Dataset
Web of Science Dataset Open
Copyright (c) 2017 Kamran Kowsari Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation files (the "Dataset"), to deal in the dataset without restriction, including withou…
View article: Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record Open
The wide implementation of electronic health record (EHR) systems facilitates\nthe collection of large-scale health data from real clinical settings. Despite\nthe significant increase in adoption of EHR systems, this data remains largely\n…
View article: HDLTex: Hierarchical Deep Learning for Text Classification
HDLTex: Hierarchical Deep Learning for Text Classification Open
The continually increasing number of documents produced each year\nnecessitates ever improving information processing methods for searching,\nretrieving, and organizing text. Central to these information processing\nmethods is document cla…
View article: GaKCo: a Fast GApped k-mer string Kernel using COunting
GaKCo: a Fast GApped k-mer string Kernel using COunting Open
String Kernel (SK) techniques, especially those using gapped $k$-mers as features (gk), have obtained great success in classifying sequences like DNA, protein, and text. However, the state-of-the-art gk-SK runs extremely slow when we incre…
View article: GaKCo: a Fast Gapped k-mer string Kernel using Counting - supplementary information, code and data
GaKCo: a Fast Gapped k-mer string Kernel using Counting - supplementary information, code and data Open
This data record consists of supplementary information files, all datasets and code used in the ECML PKDD 2017 paper GaKCo: a Fast Gapped k-mer string Kernel using Counting (README included).GaKCo is a fast and naturally paralleliza…