Zenun Kastrati

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Coauteurs

Ali Shariq ImranNorwegian University of Science and Technology (NTNU)Adresse e-mail validée de ntnu.no
Sher Muhammad DaudpotaProfessor of Computer Science, Sukkur IBA UniversityAdresse e-mail validée de iba-suk.edu.pk
Fisnik DalipiAssociate professor, Linnaeus UniversityAdresse e-mail validée de lnu.se
Arianit KurtiLinnaeus UniversityAdresse e-mail validée de lnu.se
Sule Yildirim Yayilgan (orchid id: 0000...Professor of Information SecurityAdresse e-mail validée de ntnu.no
Rakhi BatraDepartment of Computer Science & Engineering Ohio State UniversityAdresse e-mail validée de osu.edu
Sarang ShaikhPhd Candidate (Dept. of IIK, Norwegian University of Science and Technology, NTNU, Gjovik, Norway)Adresse e-mail validée de ntnu.no
Krenare Pireva NuciUniversity of PrishtinaAdresse e-mail validée de uni-pr.edu
Noureen FatimaResearch AssistantAdresse e-mail validée de iba-suk.edu.pk
Lule AhmediProfessor of Computer Science, University of Prishtina, KosovoAdresse e-mail validée de uni-pr.edu
Zulfiqar Ahmad KhanIntelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747Adresse e-mail validée de sju.ac.kr
Muhammad SajjadDept. of Computer ScienceAdresse e-mail validée de icp.edu.pk
Hikmat YarSejong University, South KoreaAdresse e-mail validée de sju.ac.kr
Mexhid FeratiAssociate Professor at Linnaeus UniversityAdresse e-mail validée de lnu.se
Abdul GhafoorSukkur IBA UniversityAdresse e-mail validée de iba-suk.edu.pk
Abdullah SoomroThe Islamia University of BahawalpurAdresse e-mail validée de iub.edu.pk
Jokela P*Adresse e-mail validée de lnu.se
Patrik ElmSenior lecturer in Computer Science, Linnaeus UniversityAdresse e-mail validée de lnu.se
Marenglen BibaProfessor of Computer Science, University of New York TiranaAdresse e-mail validée de unyt.edu.al
Torbjørn SvendsenProfessor, NTNUAdresse e-mail validée de ntnu.no

Suivre

Zenun Kastrati

Associate Professor, Linnaeus University

Adresse e-mail validée de lnu.se

Semantic web Natural language processing Machine learning Deep learning Sentiment Analysis


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	382	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	282	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	191	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	176	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	151	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	77	2019
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	70	2023
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	67	2021
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	65	2021
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	56	2022
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	54	2019
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	42	2019
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	41	2023
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
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	41	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	40	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	37	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	34	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
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	30	2016

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