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Furqan Rustam
Furqan Rustam
School of Computer Science, UCD
Dirección de correo verificada de umt.edu.pk - Página principal
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COVID-19 future forecasting using supervised machine learning models
F Rustam, AA Reshi, A Mehmood, S Ullah, BW On, W Aslam, GS Choi
IEEE access 8, 101489-101499, 2020
6312020
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
F Rustam, M Khalid, W Aslam, V Rupapara, A Mehmood, GS Choi
Plos one 16 (2), e0245909, 2021
3512021
Sentiment analysis and topic modeling on tweets about online education during COVID-19
M Mujahid, E Lee, F Rustam, PB Washington, S Ullah, AA Reshi, I Ashraf
Applied Sciences 11 (18), 8438, 2021
1972021
Tweets classification on the base of sentiments for US airline companies
F Rustam, I Ashraf, A Mehmood, S Ullah, GS Choi
Entropy 21 (11), 1078, 2019
1962019
Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
V Rupapara, F Rustam, HF Shahzad, A Mehmood, I Ashraf, GS Choi
IEEE Access 9, 78621-78634, 2021
1752021
An efficient CNN model for COVID‐19 disease detection based on x‐ray image classification
AA Reshi, F Rustam, A Mehmood, A Alhossan, Z Alrabiah, A Ahmad, ...
Complexity 2021 (1), 6621607, 2021
1452021
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
W Aljedaani, F Rustam, MW Mkaouer, A Ghallab, V Rupapara, ...
Knowledge-Based Systems 255, 109780, 2022
1032022
Wireless capsule endoscopy bleeding images classification using CNN based model
F Rustam, MA Siddique, HUR Siddiqui, S Ullah, A Mehmood, I Ashraf, ...
IEEE access 9, 33675-33688, 2021
882021
Sentiment analysis and emotion detection on cryptocurrency related tweets using ensemble LSTM-GRU model
N Aslam, F Rustam, E Lee, PB Washington, I Ashraf
Ieee Access 10, 39313-39324, 2022
842022
Pneumonia classification from X-ray images with inception-V3 and convolutional neural network
M Mujahid, F Rustam, R Álvarez, J Luis Vidal Mazón, IT Díez, I Ashraf
Diagnostics 12 (5), 1280, 2022
762022
Non-invasive driver drowsiness detection system
HUR Siddiqui, AA Saleem, R Brown, B Bademci, E Lee, F Rustam, ...
Sensors 21 (14), 4833, 2021
722021
Thyroid disease prediction using selective features and machine learning techniques
R Chaganti, F Rustam, I De La Torre Díez, JLV Mazón, CL Rodríguez, ...
Cancers 14 (16), 3914, 2022
712022
Sensor-based human activity recognition using deep stacked multilayered perceptron model
F Rustam, AA Reshi, I Ashraf, A Mehmood, S Ullah, DM Khan, GS Choi
IEEE Access 8, 218898-218910, 2020
712020
Minimizing the overlapping degree to improve class-imbalanced learning under sparse feature selection: application to fraud detection
B Omar, F Rustam, A Mehmood, GS Choi
IEEE Access 9, 28101-28110, 2021
682021
Classification of Shopify App User Reviews Using Novel Multi Text Features
F Rustam, A Mehmood, M Ahmad, S Ullah, DM Khan, GS Choi
IEEE Access 8, 30234 - 30244, 2020
682020
Ensemble learning-based feature engineering to analyze maternal health during pregnancy and health risk prediction
A Raza, HUR Siddiqui, K Munir, M Almutairi, F Rustam, I Ashraf
Plos one 17 (11), e0276525, 2022
662022
Racism detection by analyzing differential opinions through sentiment analysis of tweets using stacked ensemble gcr-nn model
E Lee, F Rustam, PB Washington, F El Barakaz, W Aljedaani, I Ashraf
IEEE Access 10, 9717-9728, 2022
632022
Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model
R Jamil, I Ashraf, F Rustam, E Saad, A Mehmood, GS Choi
PeerJ Computer Science 7, e645, 2021
582021
US Based COVID-19 tweets sentiment analysis using textblob and supervised machine learning algorithms
R Khan, F Rustam, K Kanwal, A Mehmood, GS Choi
2021 international conference on artificial intelligence (ICAI), 1-8, 2021
572021
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
V Rupapara, F Rustam, W Aljedaani, HF Shahzad, E Lee, I Ashraf
Scientific reports 12 (1), 1000, 2022
552022
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