| 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 | 369 | 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 | 274 | 2018 |
| 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 | 177 | 2021 |
| 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 | 170 | 2020 |
| 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 | 139 | 2021 |
| 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 | 75 | 2019 |
| A deep learning sentiment analyser for social media comments in low-resource languages Z Kastrati, L Ahmedi, A Kurti, F Kadriu, D Murtezaj, F Gashi Electronics 10 (10), 1133, 2021 | 63 | 2021 |
| 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 | 62 | 2021 |
| The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review S Ali, F Akhlaq, AS Imran, Z Kastrati, SM Daudpota, M Moosa Computers in Biology and Medicine, 107555, 2023 | 55 | 2023 |
| 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 | 53 | 2019 |
| A systematic literature review on text generation using deep neural network models N Fatima, AS Imran, Z Kastrati, SM Daudpota, A Soomro IEEE Access 10, 53490-53503, 2022 | 49 | 2022 |
| Aspect-Based Opinion Mining of Students' Reviews on Online Courses Z Kastrati, B Arifaj, A Lubishtani, F Gashi, E Nishliu Proceedings of the 2020 6th International conference on computing and …, 2020 | 41 | 2020 |
| 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 | 40 | 2019 |
| An analysis of social collaboration and networking tools in elearning AS Imran, K Pireva, F Dalipi, Z Kastrati Learning and Collaboration Technologies: Third International Conference, LCT …, 2016 | 40 | 2016 |
| The impact of translating resource-rich datasets to low-resource languages through multi-lingual text processing A Ghafoor, AS Imran, SM Daudpota, Z Kastrati, R Batra, MA Wani IEEE Access 9, 124478-124490, 2021 | 38 | 2021 |
| The potential of machine learning algorithms for sentiment classification of students’ feedback on MOOC M Edalati, AS Imran, Z Kastrati, SM Daudpota Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022 | 36 | 2022 |
| The impact of synthetic text generation for sentiment analysis using GAN based models AS Imran, R Yang, Z Kastrati, SM Daudpota, S Shaikh Egyptian Informatics Journal 23 (3), 547-557, 2022 | 32 | 2022 |
| WET: Word embedding-topic distribution vectors for MOOC video lectures dataset Z Kastrati, A Kurti, AS Imran Data in brief 28, 105090, 2020 | 32 | 2020 |
| IoT-based supply chain management: A systematic literature review S Taj, AS Imran, Z Kastrati, SM Daudpota, RA Memon, J Ahmed Internet of Things 24, 100982, 2023 | 31 | 2023 |
| Towards understanding the MOOC trend: pedagogical challenges and business opportunities F Dalipi, SY Yayilgan, AS Imran, Z Kastrati Learning and Collaboration Technologies: Third International Conference, LCT …, 2016 | 29 | 2016 |
Ali Shariq ImranNorwegian University of Science and Technology (NTNU)在 ntnu.no 的電子郵件地址已通過驗證
