Subjective-based quality assessment for online games. - Dorel Picovici; David Denieffe; Zenun Kastrati (SimuTools, 2010)

Adaptive Concept Vector Space Representation Using Markov Chain Model. - Zenun Kastrati; Ali Shariq Imran (EKAW, 2014)

Building Domain Ontologies for Hyperlinked Multimedia Pedagogical Platforms. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (HCI (27), 2014)

Enhancing the Learner's Performance Analysis Using SMEUS Semantic E-learning System and Business Intelligence Technologies. - Fisnik Dalipi; Sule Yildirim Yayilgan; Zenun Kastrati (HCI (24), 2015)

A General Framework for Text Document Classification Using SEMCON and ACVSR. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (HCI (4), 2015)

Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan; Fisnik Dalipi (HCI (14), 2015)

Using Context-Aware and Semantic Similarity Based Model to Enrich Ontology Concepts. - Zenun Kastrati; Sule Yildirim Yayilgan; Ali Shariq Imran (NLDB, 2015)

SEMCON: Semantic and contextual objective metric. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (ICSC, 2015)

An Improved Concept Vector Space Model for Ontology Based Classification. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (SITIS, 2015)

Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities. - Fisnik Dalipi; Sule Yildirim Yayilgan; Ali Shariq Imran; Zenun Kastrati (HCI (23), 2016)

Pedagogical Document Classification and Organization Using Domain Ontology. - Ali Shariq Imran; Zenun Kastrati (HCI (23), 2016)

An Analysis of Social Collaboration and Networking Tools in eLearning. - Ali Shariq Imran; Krenare Pireva; Fisnik Dalipi; Zenun Kastrati (HCI (23), 2016)

Automatically Enriching Domain Ontologies for Document Classification. - Zenun Kastrati; Sule Yildirim Yayilgan; Rune Hjelsvold (WIMS, 2016)

SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (Int. J. Semantic Web Inf. Syst., 2016)

Supervised Ontology-Based Document Classification Model. - Zenun Kastrati; Sule Yildirim Yayilgan (ICCDA, 2017)

Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies. - Zenun Kastrati; Sule Yildirim Yayilgan (NLDB, 2017)

MOOC dropout prediction using machine learning techniques: Review and research challenges. - Fisnik Dalipi; Ali Shariq Imran; Zenun Kastrati (EDUCON, 2018)

Improving Document Classification Using Ontologies. - Zenun Kastrati (2018)

Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model. - Ali Shariq Imran; Fisnik Dalipi; Zenun Kastrati (ICCAI, 2019)

Text-Independent Speaker ID for Automatic Video Lecture Classification Using Deep Learning. - Ali Shariq Imran; Zenun Kastrati; Torbjørn Karl Svendsen; Arianit Kurti (ICCAI, 2019)

The Effect of a Flipped Classroom in a SPOC: Students' Perceptions and Attitudes. - Zenun Kastrati; Arianit Kurti; Johan Hagelbäck (ICETC, 2019)

Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting. - Ali Shariq Imran; Zenun Kastrati; Torbjørn Karl Svendsen; Arianit Kurti (ICTAI, 2019)

Transfer Learning to Timed Text Based Video Classification Using CNN. - Zenun Kastrati; Ali Shariq Imran; Arianit Kurti (WIMS, 2019)

Performance analysis of machine learning classifiers on improved concept vector space models. - Zenun Kastrati; Ali Shariq Imran (Future Gener. Comput. Syst., 2019)

The impact of deep learning on document classification using semantically rich representations. - Zenun Kastrati; Ali Shariq Imran; Sule Yildirim Yayilgan (Inf. Process. Manag., 2019)

Integrating word embeddings and document topics with deep learning in a video classification framework. - Zenun Kastrati; Ali Shariq Imran; Arianit Kurti (Pattern Recognit. Lett., 2019)

Open Government Data Through the Lens of Universal Design. - Mexhid Ferati; Fisnik Dalipi; Zenun Kastrati (HCI (9), 2020)

Aspect-Based Opinion Mining of Students' Reviews on Online Courses. - Zenun Kastrati; Blend Arifaj; Arianit Lubishtani; Fitim Gashi; Engjëll Nishliu (ICCAI, 2020)

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets. - Ali Shariq Imran; Sher Muhammad Daudpota; Zenun Kastrati; Rakhi Batra (IEEE Access, 2020)

Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs. - Zenun Kastrati; Ali Shariq Imran; Arianit Kurti (IEEE Access, 2020)

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19. - Ali Shariq Imran; Sher Mohammad Doudpota; Zenun Kastrati; Rakhi Bhatra (CoRR, 2020)

Increasing the Understandability and Explainability of Machine Learning and Artificial Intelligence Solutions: A Design Thinking Approach. - Arianit Kurti; Fisnik Dalipi; Mexhid Ferati; Zenun Kastrati (IHIET (Strasbourg), 2021)

The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC. - Maryam Edalati; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota (IntelliSys (3), 2021)

Investigating Learning Experience of MOOCs Learners Using Topic Modeling and Sentiment Analysis. - Siri Amanda Rääf; Johanna Knöös; Fisnik Dalipi; Zenun Kastrati (ITHET, 2021)

The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing. - Abdul Ghafoor; Ali Shariq Imran; Sher Muhammad Daudpota; Zenun Kastrati; Abdullah; Rakhi Batra; Mudasir Ahmad Wani (IEEE Access, 2021)

Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm. - Hikmat Yar; Ali Shariq Imran; Zulfiqar Ahmad Khan; Muhammad Sajjad; Zenun Kastrati (Sensors, 2021)

Investigating the FAIRness of Science and Technology Open Data: A Focus in the Scandinavian Countries. - Fisnik Dalipi; Mexhid Ferati; Arianit Kurti; Zenun Kastrati (HCI (37), 2022)

Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models. - Muhamet Kastrati; Marenglen Biba; Ali Shariq Imran; Zenun Kastrati (ISMIS, 2022)

A Systematic Literature Review on Text Generation Using Deep Neural Network Models. - Noureen Fatima; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota; Abdullah Soomro (IEEE Access, 2022)

Multimodal Sentiment Analysis for Personality Prediction. - Hans Petter Fauchald Taralrud; Abdulfatah Abdi Salah; Ali Shariq Imran; Zenun Kastrati (FIT, 2023)

Leveraging Topic Modeling to Investigate Learning Experience and Engagement of MOOC Completers. - Zenun Kastrati; Arianit Kurti; Fisnik Dalipi; Mexhid Ferati (MIS4TEL, 2023)

Classifying European Court of Human Rights Cases Using Transformer-Based Techniques. - Ali Shariq Imran; Henrik Hodnefjeld; Zenun Kastrati; Noureen Fatima; Sher Muhammad Daudpota; Mudasir Ahmad Wani (IEEE Access, 2023)

Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers. - Zenun Kastrati; Ali Shariq Imran; Sher Muhammad Daudpota; Muhammad Atif Memon; Muhamet Kastrati (IEEE Access, 2023)

Improving news headline text generation quality through frequent POS-Tag patterns analysis. - Noureen Fatima; Sher Muhammad Daudpota; Zenun Kastrati; Ali Shariq Imran; Saif Hassan; Nouh Sabri Elmitwally (Eng. Appl. Artif. Intell., 2023)

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review. - Subhan Ali; Filza Akhlaq; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota; Muhammad Moosa (Comput. Biol. Medicine, 2023)

IoT-based supply chain management: A systematic literature review. - Soonh Taj; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota; Raheel Ahmed Memon; Javed Ahmed (Internet Things, 2023)

Enhancing Wrist Fracture Detection and Classification through Deep Learning and XAI. - Subhan Ali; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota; Faouzi Alaya Cheikh; Mohib Ullah (EUVIP, 2024)

Small Data, Big Impact: A Multi-Locale Bone Fracture Detection on an Extremely Limited Dataset Via Crack-Informed YOLOv9 Variants. - Ammar Ahmed; Abdul Manaf; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota (FIT, 2024)

Navigating Limitations With Precision: A Fine-Grained Ensemble Approach To Wrist Pathology Recognition On A Limited X-Ray Dataset. - Ammar Ahmed; Ali Shariq Imran; Mohib Ullah; Zenun Kastrati; Sher Muhammad Daudpota (ICIP, 2024)

Analyzing and Predicting the Helpfulness of Reviews in MOOCs Context Using Deep Learning. - Zenun Kastrati; Sana Fatima; Arianit Kurti; Sher Muhammad Daudpota; Ali Shariq Imran (KES, 2024)

Enhancing wrist abnormality detection with YOLO: Analysis of state-of-the-art single-stage detection models. - Ammar Ahmed; Ali Shariq Imran; Abdul Manaf; Zenun Kastrati; Sher Muhammad Daudpota (Biomed. Signal Process. Control., 2024)

Learning from the few: Fine-grained approach to pediatric wrist pathology recognition on a limited dataset. - Ammar Ahmed; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota; Mohib Ullah; Waheed Noor (Comput. Biol. Medicine, 2024)

Enhancing Wrist Fracture Detection with YOLO. - Ammar Ahmed; Ali Shariq Imran; Abdul Manaf; Zenun Kastrati; Sher Muhammad Daudpota (CoRR, 2024)

Synthetic Image Generation Using Deep Learning: A Systematic Literature Review. - Aisha Zulfiqar; Sher Muhammad Daudpota; Ali Shariq Imran; Zenun Kastrati; Mohib Ullah; Suraksha Sadhwani (Comput. Intell., 2024)

Leveraging distant supervision and deep learning for twitter sentiment and emotion classification. - Muhamet Kastrati; Zenun Kastrati; Ali Shariq Imran; Marenglen Biba (J. Intell. Inf. Syst., 2024)

Deep insights into gastrointestinal health: A comprehensive analysis of GastroVision dataset using convolutional neural networks and explainable AI. - Muhammad Fahad 014; Noor E. Mobeen; Ali Shariq Imran; Sher Muhammad Daudpota; Zenun Kastrati; Faouzi Alaya Cheikh; Mohib Ullah (Biomed. Signal Process. Control., 2025)

Unlocking language barriers: Assessing pre-trained large language models across multilingual tasks and unveiling the black box with Explainable Artificial Intelligence. - Muhamet Kastrati; Ali Shariq Imran; Ehtesham Hashmi; Zenun Kastrati; Sher Muhammad Daudpota; Marenglen Biba (Eng. Appl. Artif. Intell., 2025)

Aspect-based sentiment analysis for software requirements elicitation using fine-tuned Bidirectional Encoder Representations from Transformers and Explainable Artificial Intelligence. - Soonh Taj; Sher Muhammad Daudpota; Ali Shariq Imran; Zenun Kastrati (Eng. Appl. Artif. Intell., 2025)

Demographic-aware fine-grained classification of pediatric wrist fractures. - Ammar Ahmed; Ali Shariq Imran; Zenun Kastrati; Sher Muhammad Daudpota (CoRR, 2025)

Enhancing social media hate speech detection in low-resource languages using transformers and explainable AI. - Endrit Fetahi; Arsim Susuri; Mentor Hamiti; Zenun Kastrati; Ercan Canhasi; Arta Misini (Soc. Netw. Anal. Min., 2025)