Kamran Kowsari

According to our database1, Kamran Kowsari authored at least 27 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach.
Inf., 2020

Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches.
CoRR, 2020

Gender Detection on Social Networks using Ensemble Deep Learning.
CoRR, 2020

Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with a Mainstream Religious Group.
Proceedings of the Intelligent Computing, 2020

A Data-Driven Reinforcement Learning Based Multi-Objective Route Recommendation System.
Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks.
Proceedings of the Intelligent Human Computer Interaction, 2020

Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Text Classification Algorithms: A Survey.
Inf., 2019

Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks.
CoRR, 2019

From Videos to URLs: A Multi-Browser Guide to Extract User's Behavior with Optical Character Recognition.
Proceedings of the Advances in Computer Vision, 2019

CeliacNet: Celiac Disease Severity Diagnosis on Duodenal Histopathological Images Using Deep Residual Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL).
CoRR, 2018

Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record.
IEEE Access, 2018

Analysis of Railway Accidents' Narratives Using Deep Learning.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

RMDL: Random Multimodel Deep Learning for Classification.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

Identification of Imminent Suicide Risk Among Young Adults using Text Messages.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Physiological changes over the course of cognitive bias modification for social anxiety.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

FSL-BM: Fuzzy Supervised Learning with Binary Meta-Feature for Classification.
CoRR, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

HDLTex: Hierarchical Deep Learning for Text Classification.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Weighted Unsupervised Learning for 3D Object Detection.
CoRR, 2016

Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications.
CoRR, 2015

Novel Metaknowledge-based Processing Technique for Multimedia Big Data clustering challenges.
CoRR, 2015

SNPlice: variants that modulate Intron retention from RNA-sequencing data.
Bioinform., 2015

Automatic, Real Time, Unsupervised Spatio-temporal 3D Object Detection Using RGB-D Cameras.
Proceedings of the 19th International Conference on Information Visualisation, 2015

Novel Metaknowledge-Based Processing Technique for Multimediata Big Data Clustering Challenges.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015, 2015

23-bit metaknowledge template towards Big Data knowledge discovery and management.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014