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Items where Author is "Naseem, Mohammed" |
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Group by: Item Type | No Grouping Number of items: 11. Book ChapterNand, Ravneil and Reddy, Emmenual and Naseem, Mohammed (2016) Neuron - network level problem decomposition method for cooperative coevolution of recurrent networks for time series prediction. In: Neural Information Processing. Springer International Publishing, Cham, pp. 38-48. ISBN 9783319466743 Conference ProceedingsSharma, Bibhya N. and Kumar, Bijeta and Naseem, Mohammed and Reddy, Emmenual and Lal, Goel and Nair, Sunaina and Khan, Gavin J. and Nusair, Salsabil A. (2021) Is Pacific ethnicity associated to proactivity: an investigation in higher education. [Conference Proceedings] Naseem, Mohammed and Reddy, Emmenual and Nand, Ravneil (2021) Statistical methods for data mining Mathematics students' online presence. [Conference Proceedings] Naseem, Mohammed and Chaudhary, Kaylash C. and Sharma, Bibhya N. and Lal, Aman (2020) Using ensemble decision tree model to predict student dropout in computing science. [Conference Proceedings] Nand, Ravneil and Chand, Ashneel and Naseem, Mohammed (2020) Analyzing students’ online presence in undergraduate courses using Clustering. [Conference Proceedings] Khan, Gavin J. and Naseem, Mohammed and Nair, Sunaina and Chand, Sarvesh and Nusair, Salsabil A. and Reddy, Emmenual and Kumar, Bijeta and Lal, Goel (2020) Is Gender Associated with Proactivity: An Investigation in Higher Education. [Conference Proceedings] Sharma, Bibhya N. and Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual and Narayan, Swasti S. and Reddy, Karuna G. (2018) Smart Learning in the Pacific: Design of New Pedagogical Tools. [Conference Proceedings] Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual and Sharma, Bibhya N. (2017) Combinational problem decomposition method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction. [Conference Proceedings] Journal ArticleGoundar, Sam and Deb, Arpana S. and Lal, Goel and Naseem, Mohammed (2022) Using online student interactions to predict performance in a first-year computing science course. Technology, Pedagogy and Education, TBC . pp. 1-19. ISSN 1475-939X Naseem, Mohammed and Chaudhary, Kaylash C. and Sharma, Bibhya N. (2022) Predicting Freshmen Attrition in Computing Science using Data Mining. Education and Information Technologies, 27 . pp. 9587-9617. ISSN 0967-0912 Sharma, Bibhya N. and Nand, Ravneil and Naseem, Mohammed and Reddy, Emmenual (2019) Effectiveness of online presence in a blended higher learning environment in the Pacific. Studies in Higher Education, NA . pp. 1-19. ISSN 0307-5079 |