Zenun Kastrati

Orcid: 0000-0002-0199-2377

According to our database1, Zenun Kastrati authored at least 46 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
IoT-based supply chain management: A systematic literature review.
Internet Things, December, 2023

The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review.
Comput. Biol. Medicine, November, 2023

Improving news headline text generation quality through frequent POS-Tag patterns analysis.
Eng. Appl. Artif. Intell., 2023

Soaring Energy Prices: Understanding Public Engagement on Twitter Using Sentiment Analysis and Topic Modeling With Transformers.
IEEE Access, 2023

Classifying European Court of Human Rights Cases Using Transformer-Based Techniques.
IEEE Access, 2023

Leveraging Topic Modeling to Investigate Learning Experience and Engagement of MOOC Completers.
Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2023

Multimodal Sentiment Analysis for Personality Prediction.
Proceedings of the International Conference on Frontiers of Information Technology, 2023

2022
A Systematic Literature Review on Text Generation Using Deep Neural Network Models.
IEEE Access, 2022

Sentiment Polarity and Emotion Detection from Tweets Using Distant Supervision and Deep Learning Models.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Investigating the FAIRness of Science and Technology Open Data: A Focus in the Scandinavian Countries.
Proceedings of the HCI International 2022 Posters, 2022

2021
Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm.
Sensors, 2021

The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing.
IEEE Access, 2021

Investigating Learning Experience of MOOCs Learners Using Topic Modeling and Sentiment Analysis.
Proceedings of the 19th International Conference on Information Technology Based Higher Education and Training, 2021

The Potential of Machine Learning Algorithms for Sentiment Classification of Students' Feedback on MOOC.
Proceedings of the Intelligent Systems and Applications, 2021

Increasing the Understandability and Explainability of Machine Learning and Artificial Intelligence Solutions: A Design Thinking Approach.
Proceedings of the Human Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET, 2021

2020
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning - a Case Study on COVID-19.
CoRR, 2020

Weakly Supervised Framework for Aspect-Based Sentiment Analysis on Students' Reviews of MOOCs.
IEEE Access, 2020

Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets.
IEEE Access, 2020

Aspect-Based Opinion Mining of Students' Reviews on Online Courses.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020

Open Government Data Through the Lens of Universal Design.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Practice, 2020

2019
Integrating word embeddings and document topics with deep learning in a video classification framework.
Pattern Recognit. Lett., 2019

The impact of deep learning on document classification using semantically rich representations.
Inf. Process. Manag., 2019

Performance analysis of machine learning classifiers on improved concept vector space models.
Future Gener. Comput. Syst., 2019

Transfer Learning to Timed Text Based Video Classification Using CNN.
Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics, 2019

Text-Independent Speaker ID Employing 2D-CNN for Automatic Video Lecture Categorization in a MOOC Setting.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

The Effect of a Flipped Classroom in a SPOC: Students' Perceptions and Attitudes.
Proceedings of the ICETC 2019, 2019

Text-Independent Speaker ID for Automatic Video Lecture Classification Using Deep Learning.
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

Predicting Student Dropout in a MOOC: An Evaluation of a Deep Neural Network Model.
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

2018
Improving Document Classification Using Ontologies.
PhD thesis, 2018

MOOC dropout prediction using machine learning techniques: Review and research challenges.
Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

2017
Improving Document Classification Effectiveness Using Knowledge Exploited by Ontologies.
Proceedings of the Natural Language Processing and Information Systems, 2017

Supervised Ontology-Based Document Classification Model.
Proceedings of the International Conference on Compute and Data Analysis, 2017

2016
SEMCON: A Semantic and Contextual Objective Metric for Enriching Domain Ontology Concepts.
Int. J. Semantic Web Inf. Syst., 2016

Automatically Enriching Domain Ontologies for Document Classification.
Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics, 2016

An Analysis of Social Collaboration and Networking Tools in eLearning.
Proceedings of the Learning and Collaboration Technologies, 2016

Pedagogical Document Classification and Organization Using Domain Ontology.
Proceedings of the Learning and Collaboration Technologies, 2016

Towards Understanding the MOOC Trend: Pedagogical Challenges and Business Opportunities.
Proceedings of the Learning and Collaboration Technologies, 2016

2015
An Improved Concept Vector Space Model for Ontology Based Classification.
Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, 2015

SEMCON: Semantic and contextual objective metric.
Proceedings of the 9th IEEE International Conference on Semantic Computing, 2015

Using Context-Aware and Semantic Similarity Based Model to Enrich Ontology Concepts.
Proceedings of the Natural Language Processing and Information Systems, 2015

Analysis of Online Social Networks Posts to Investigate Suspects Using SEMCON.
Proceedings of the Social Computing and Social Media, 2015

A General Framework for Text Document Classification Using SEMCON and ACVSR.
Proceedings of the Human Interface and the Management of Information. Information and Knowledge Design, 2015

Enhancing the Learner's Performance Analysis Using SMEUS Semantic E-learning System and Business Intelligence Technologies.
Proceedings of the Learning and Collaboration Technologies, 2015

2014
Building Domain Ontologies for Hyperlinked Multimedia Pedagogical Platforms.
Proceedings of the HCI International 2014 - Posters' Extended Abstracts, 2014

Adaptive Concept Vector Space Representation Using Markov Chain Model.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2010
Subjective-based quality assessment for online games.
Proceedings of the 3rd International Conference on Simulation Tools and Techniques, 2010


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