| An empirical survey on explainable ai technologies: Recent trends, use-cases, and categories from technical and application perspectives M Nagahisarchoghaei, N Nur, L Cummins, N Nur, MM Karimi, ... Electronics 12 (5), 1092, 2023 | 92 | 2023 |
| Parallel embeddings: a visualization technique for contrasting learned representations DL Arendt, N Nur, Z Huang, G Fair, W Dou Proceedings of the 25th International Conference on Intelligent User …, 2020 | 31 | 2020 |
| Making sense of student success and risk through unsupervised machine learning and interactive storytelling A Al-Doulat, N Nur, A Karduni, A Benedict, E Al-Hossami, ML Maher, ... International Conference on Artificial Intelligence in Education, 3-15, 2020 | 24 | 2020 |
| Student network analysis: a novel way to predict delayed graduation in higher education N Nur, N Park, M Dorodchi, W Dou, MJ Mahzoon, X Niu, ML Maher International Conference on Artificial Intelligence in Education, 370-382, 2019 | 17 | 2019 |
| Navigating the ethical landscape of AI integration in educational settings N Nur, SJ Goh, J Patel, M Mizrahi INTED2024 Proceedings, 7654-7663, 2024 | 15 | 2024 |
| Automatic text summarization of scientific articles using transformers—A brief review S Aswani, K Choudhary, S Shetty, N Nur Journal of Autonomous Intelligence 7 (5), 2024 | 12 | 2024 |
| Natural Language Explanations for Suicide Risk Classification Using Large Language Models. W Stern, SJ Goh, N Nur, PJ Aragon, T Mercer, S Bhattacharyya, C Sen, ... ML4CMH@ AAAI, 74-83, 2024 | 9 | 2024 |
| Lightweight symphony: Towards reducing computer science student anxiety with standardized docker environments K Fernalld, TJ OConnor, S Sudhakaran, N Nur Proceedings of the 24th Annual Conference on Information Technology …, 2023 | 8 | 2023 |
| Conceptualizing Suicidal Behavior: Utilizing Explanations of Predicted Outcomes to Analyze Longitudinal Social Media Data N Nur, W Stern, T Mercer, C Sen, S Bhattacharyya, V Tumbiolo, SJ Goh 2023 International Conference on Machine Learning and Applications (ICMLA …, 2023 | 6 | 2023 |
| Explainable ai for data driven learning analytics: A holistic approach to engage advisors in knowledge discovery N Nur, A Benedict, O Eltayeby, W Dou, M Dorodchi, X Niu, ML Maher, ... EDULEARN22 Proceedings, 10300-10306, 2022 | 6 | 2022 |
| Social media vs. News platforms: a cross-analysis for fake news detection using web scraping and NLP F Alsuliman, S Bhattacharyya, K Slhoub, N Nur, CN Chambers Proceedings of the 15th International Conference on PErvasive Technologies …, 2022 | 5 | 2022 |
| Developing temporal machine learning approaches to support modeling, explaining, and sensemaking of academic success and risk of undergraduate students N Nur The University of North Carolina at Charlotte, 2021 | 5 | 2021 |
| Natural language processing of specifications for a prototypical avionic system to generate system design: A case study CN Chambers, S Bhattacharyaa, N Nur 2022 IEEE International Symposium on Systems Engineering (ISSE), 1-8, 2022 | 4 | 2022 |
| A clustering approach for consumer baselining and anomaly detection in transactive control N Nur, S Sridhar, S Pal, A Ashok, VC Amatya Proceedings of the Tenth ACM International Conference on Future Energy …, 2019 | 4 | 2019 |
| Ushoshi2023 at BLP-2023 Task 2: A Comparison of Traditional to Advanced Linguistic Models to Analyze Sentiment in Bangla Texts S Khushbu, N Nur, M Ahmed, N Nur Proceedings of the First Workshop on Bangla Language Processing (BLP-2023 …, 2023 | 2 | 2023 |
| Towards knowledge extraction and parsing of xml metadata for sysml system architecture modeling C Chambers, P Ganeriwala, S Bhattacharyya, C Sen, N Nur 2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile …, 2023 | 2 | 2023 |
| Gi-ohms: Graphical inference to detect overlapping communities N Nur, W Dou, X Niu, S Krishnan, N Park arXiv preprint arXiv:1810.01547, 2018 | 2 | 2018 |
| NAVIGATING THE CHALLENGES: UNDERSTANDING ANXIETY AMONG INTERNATIONAL GRADUATE STUDENTS IN THE UNITED STATES S Sudhakaran, N Nur, A Zarraa INTED2024 Proceedings, 7664-7672, 2024 | | 2024 |
| Two Problems in Knowledge Graph Embedding: Non-Exclusive Relation Categories and Zero Gradients N Nur, N Park, K Lee, H Kang, S Kwon 2019 IEEE International Conference on Big Data (Big Data), 1181-1186, 2019 | | 2019 |
Wenwen DouAssociate Professor, UNC CharlotteVerified email at uncc.edu
