Research Papers

2022

Ali Shariq Imran, Ru Yang, Zenun Kastrati, Sher Muhammad Daudpota, Sarang Shaikh. The impact of synthetic text generation for sentiment analysis using GAN based models. Egyptian Informatics Journal, 2022, 23(3), 547-557.

Noureen Fatima, Ali Shariq Imran, Zenun Kastrati, Sher Muhammad Daudpota, Abdullah Soomro, Sarang Shaikh. A Systematic Literature Review on Text Generation Using Deep Neural Network Models, IEEE Access, vol. 10, pp. 53490-53503, 2022, doi: 10.1109/ACCESS.2022.3174108.

2021

Rakhi Batra, Ali Shariq Imran, Zenun Kastrati, Abdul Ghafoor, Sher Muhammad Daudpota, Sarang Shaikh. Evaluating Polarity Trend Amidst the Coronavirus Crisis in Peoples’ Attitudes toward the Vaccination Drive. Sustainability 2021, 13, no. 10: 5344. https://doi.org/10.3390/su13105344

Zenun Kastrati, Fisnik Dalipi, Ali Shariq Imran, Krenare Pireva Nuci, Mudasir Wani. Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study. Applied Sciences 2021, 11, no. 9: 3986. https://doi.org/10.3390/app11093986

Zenun Kastrati, Lule Ahmedi, Arianit Kurti, Fatbardh Kadriu, Doruntina Murtezaj, Fatbardh Gashi. A Deep Learning Sentiment Analyser for Social Media Comments in Low-Resource Languages. Electronics 2021, 10, no. 10: 1133. https://doi.org/10.3390/electronics10101133

Sarang Shaikh, Sher Muhammad Daudpota, Ali Shariq Imran, Zenun Kastrati. Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models. Applied Sciences 2021, 11(2), 869; https://doi.org/10.3390/app11020869

2020

Ali Shariq Imran, Sher Muhammad Daudpota, Zenun Kastrati, Rakhi Batra. Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets. IEEE Access, 8:181074 – 181090, 2020.

Zenun Kastrati, Ali Shariq Imran, and Arianit Kurti. Weakly Supervised Framework for Aspect-Based SentimentAnalysis on Students’ Reviews of MOOCs. IEEE Access, 8:106799–106810, 2020.

Zenun Kastrati, Arianit Kurti, and Ali Shariq Imran. WET: Word embedding-topic distribution vectors for MOOC video lectures dataset. Data in Brief, 28:105090, 2020.

Rinor Hajrizi, and Krenare Pireva Nuci. “Aspect-Based Sentiment Analysis in Education Domain” arXiv preprint arXiv:2010.01429 (2020).

2019

Zenun Kastrati, Ali Shariq Imran, and Sule Yildirim Yayilgan. The impact of deep learning on document classification using semantically rich representations. Information Processing and Management, 56(5):1618–1632,2019.

Krenare Pireva, Rabail Tahir, Ali Shariq Imran, and Niraj Chaudhary. Evaluating learners’ emotional states by monitoring brain waves for comparing game-based learning approach to pen-and-paper. In Proceedings – Frontiers in Education Conference, FIE, 2019.

Zenun Kastrati, Ali Shariq Imran, and Arianit Kurti. Integrating word embeddings and document topics with deep learning in a video classification framework. Pattern Recognition Letters, 128:85–92, 2019.

Anita Mirijamdotter, Krenare Pireva Nuci, Michele Gibney, and Patrik Elm. The development and implementation of a PhD Program in ICT for the Kosovo Education System. 2019

2018

Krenare Pireva, Petros Kefalas, and Ioanna Stamatopoulou. Representation of learning objects in cloud e-learning.2017 8th International Conference on Information, Intelligence, Systems and Applications, IISA 2017,2018-January(November 2018):1–6, 2018.

2017

Krenare Pireva and Petros Kefalas. A recommender system based on hierarchical clustering for cloud e-learning.Studies in Computational Intelligence, 2017

2016

Bertan Karahoda, Krenare Pireva, and Ali Shariq Imran. Mel frequency cepstral coefficients based similar Albanian phonemes recognition.Lecture Notes in Computer Science (including subseries Lecture Notes in ArtificialIntelligence and Lecture Notes in Bioinformatics), 9734(November 2018):491–500, 2016.

Ali Shariq Imran, Krenare Pireva, Fisnik Dalipi, and Zenun Kastrati. An analysis of social collaboration and networking tools in eLearning.Lecture Notes in Computer Science (including subseries Lecture Notes in ArtificialIntelligence and Lecture Notes in Bioinformatics), 9753(November 2018):332–343, 2016.

Krenare Pireva, Ali Shariq Imran, and Fisnik Dalipi. User behaviour analysis on LMS and MOOC.2015 IEEEConference on e-Learning, e-Management and e-Services, IC3e 2015, (November 2018):21–26, 2016.

2015 and earlier

Krenare Pireva Nuci, Petros Kefalas, Dimitris Dranidis, and Thanos Hatziapostolou. Cloud e-Learning: A new challenge for Multi-Agent Systems Cloud e-Learning: A New Challenge for Multi-Agent Systems. (August 2015), 2014.

Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, and Sule Yildirim Yayilgan. Objective keyword selection for lecture video annotation. 2014 5th European Workshop on Visual Information Processing (EUVIP), Paris, 2014, pp. 1-6

Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, and Sule Yildirim Yayilgan. Semantic Keyword Selection for Automatic Video Annotation. In Signal-Image Technology and Internet-Based Systems (SITIS), 2013International Conference on, pages 241–246. IEEE, 2013.

[4]Ali Shariq Imran, Laksmita Rahadianti, Faouzi Alaya Cheikh, and Sule Yildirim Yayilgan. Semantic tags for lecture videos.Proceedings – IEEE 6th International Conference on Semantic Computing, ICSC 2012, pages117–120, 2012.