Ali Shariq Imran
Cited by
Cited by
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets
AS Imran, SM Daudpota, Z Kastrati, R Batra
IEEE Access 8, 181074-181090, 2020
MOOC dropout prediction using machine learning techniques: Review and research challenges
F Dalipi, AS Imran, Z Kastrati
2018 IEEE Global Engineering Education Conference (EDUCON), 1007-1014, 2018
Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students’ Reviews of MOOCs
Z Kastrati, AS Imran, A Kurti
IEEE Access 8, 106799-106810, 2020
The impact of deep learning on document classification using semantically rich representations
Z Kastrati, AS Imran, SY Yayilgan
Information Processing & Management 56 (5), 1618-1632, 2019
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
Z Kastrati, F Dalipi, AS Imran, K Pireva Nuci, MA Wani
Applied Sciences 11 (9), 3986, 2021
Human action recognition using attention based LSTM network with dilated CNN features
K Muhammad, A Ullah, AS Imran, M Sajjad, MS Kiran, G Sannino, ...
Future Generation Computer Systems 125, 820-830, 2021
Hog based real-time multi-target tracking in bayesian framework
M Ullah, FA Cheikh, AS Imran
2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016
User behaviour analysis on LMS and MOOC
K Pireva, AS Imran, F Dalipi
2015 IEEE Conference on e-Learning, e-Management and e-Services (IC3e), 21-26, 2015
Integrating word embeddings and document topics with deep learning in a video classification framework
Z Kastrati, AS Imran, A Kurti
Pattern Recognition Letters 128, 85-92, 2019
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
H Yar, AS Imran, ZA Khan, M Sajjad, Z Kastrati
Sensors 21 (14), 4932, 2021
An Analysis of Social Collaboration and Networking Tools in eLearning
AS Imran, K Pireva, F Dalipi, Z Kastrati
International Conference on Learning and Collaboration Technologies, 332-343, 2016
Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model
AS Imran, F Dalipi, Z Kastrati
Proceedings of the 2019 5th International Conference on Computing and …, 2019
Semantic tags for lecture videos
AS Imran, L Rahadianti, FA Cheikh, SY Yayilgan
2012 IEEE Sixth International Conference on Semantic Computing, 117-120, 2012
Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
S Shaikh, SM Daudpota, AS Imran, Z Kastrati
Applied Sciences 11 (2), 869, 2021
Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities
F Dalipi, SY Yayilgan, AS Imran, Z Kastrati
International Conference on Learning and Collaboration Technologies, 281-291, 2016
HIP–A technology-rich and interactive multimedia pedagogical platform
AS Imran, SJ Kowalski
International Conference on Learning and Collaboration Technologies, 151-160, 2014
Multimedia learning objects framework for e-learning
AS Imran, FA Cheikh
2012 International Conference on E-Learning and E-Technologies in Education …, 2012
A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images
S Khan, M Sajjad, T Hussain, A Ullah, AS Imran
IEEE Access 9, 10657-10673, 2020
Performance analysis of machine learning classifiers on improved concept vector space models
Z Kastrati, AS Imran
Future Generation Computer Systems 96, 552-562, 2019
An Analysis of Learner Experience with MOOCs in Mobile and Desktop Learning Environment
F Dalipi, AS Imran, F Idrizi, H Aliu
Advances in Human Factors, Business Management, Training and Education, 393-402, 2016
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