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Fazle Karim

LSTM Fully Convolutional Networks for Time Series Classification
2017 · Fazle Karim, Somshubra Majumdar, et al. · IEEE Access · 1,560
Multivariate LSTM-FCNs for time series classification
2019 · Fazle Karim, Somshubra Majumdar, et al. · Neural Networks · 1,172
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Insights Into LSTM Fully Convolutional Networks for Time Series Classification
2019 · Fazle Karim, Somshubra Majumdar, et al. · IEEE Access · 213
Adversarial Attacks on Time Series
2020 · Fazle Karim, Somshubra Majumdar, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 129
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An enhanced bayesian network model for prediction of students' academic performance in engineering programs
2014 · Ashkan Sharabiani, Fazle Karim, et al. · IEEE Global Engineering Education Conference (EDUCON) · 56
Efficient Classification of Long Time Series by 3-D Dynamic Time Warping
2017 · Anooshiravan Sharabiani, Houshang Darabi, et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 45
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders
2021 · Samuel Harford, Fazle Karim, et al. · IEEE/CAA Journal of Automatica Sinica · 44
Pathological Voice Classification Using Mel-Cepstrum Vectors and Support Vector Machine
2018 · Maryam Pishgar, Fazle Karim, et al. · IEEE International Conference on Big Data (BigData) · 37
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A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis
2019 · Samuel Harford, Houshang Darabi, et al. · Resuscitation · 33
Adversarial Attacks on Multivariate Time Series
2020 · Harford, Samuel, Karim, Fazle, et al. · arXiv (Cornell University) · 29
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Asymptotic Dynamic Time Warping calculation with utilizing value repetition
2018 · Anooshiravan Sharabiani, Houshang Darabi, et al. · Knowledge and Information Systems · 28
Adaptive Susceptible-Infectious-Removed Model for Continuous Estimation of the COVID-19 Infection Rate and Reproduction Number in the United States: Modeling Study
2021 · Mark B Shapiro, Fazle Karim, et al. · Journal of Medical Internet Research · 21
Aspect-Based Sentiment Analysis of Amazon Product Reviews Using Machine Learning Models and Hybrid Feature Engineering
2025 · Md Rezwane Sadik, Umma Hafsah Himu, et al. · International Conference on New Trends in Computing Sciences (ICTCS) · 12
Detecting Current Job Market Skills and Requirements Through Text Mining
2020 · Houshang Darabi, Fazle Karim, et al. · ASEE Annual Conference & Exposition · 9
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Analyzing Neuroimaging Epiphenomena: Machine Learning Approaches in Alzheimer's Prognostication
2024 · Sharmin Sultana, Bushra Uddin, et al. · International Conference on Computer and Applications (ICCA) · 6
Beyond Grade Point Average and Standardized Testing: Incorporating a Socio-Economic Factor in Admissions to Support Minority Success
2018 · Houshang Darabi, Elnaz Douzali, et al. · ASEE Annual Conference & Exposition · 5
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Life after University for Engineering Graduates
2018 · Houshang Darabi, Elnaz Douzali, et al. · ASEE Annual Conference & Exposition · 5
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Real-Time, Multi-Modal Artificial Intelligence For Medicare Fraud Detection: An Integrated Framework Combining Claims, Electronic Health Records, And Provider Behavioral Signals
2026 · Ashraful Islam, Md Sumon Rana, et al. · International Journal of Advances in Signal and Image Sciences · 2
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A Glycemic Status Classification Model Using a Radiofrequency Noninvasive Blood Glucose Monitor
2024 · Fazle Karim, James H. Anderson, et al. · Diabetes Technology & Therapeutics · 2
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Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
2021 · Harford, Samuel, Karim, Fazle, et al. · arXiv (Cornell University) · 2
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A Framework for Accurate Time Series Classification Based on Partial Observation
2019 · Fazle Karim, Houshang Darabi, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 2
A Comparative Analysis of Underrepresented Engineering Applicants Admission Practices and their Academic Performance at the University of Illinois at Chicago
2016 · Houshang Darabi, Fazle Karim, et al. · ASEE Annual Conference & Exposition · 2
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1003-P: A New Machine-Learning Model and Expanded Dataset for a Noninvasive BGM
2024 · DOMINIC KLYVE, JAMES H. ANDERSON, et al. · Diabetes · 1
Four Class Brain Tumor Classification in MRI Using Multi Scale Attention Guided Feature Fusion Network
2026 · Niropam Das, Tushar Roy, et al. · Technology and Innovation Conference (TIC)
Interpretable Hybrid Deep Learning Framework for Early Lung Cancer Detection from CT Imaging Using Attention and Residual Learning
2026 · Mohammed Majid Bakhsh, Fazle Karim, et al. · Technology and Innovation Conference (TIC)
Works count: 28
Citation count: 3,415
H-index: 12
I10-index: 13
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