Home Research Publications Teaching Projects

Current Teaching

• Introduction to Machine Learning (ACS-4953)
• Principles of Software Project Management (ACS-3901)
• Senior Systems Development Project (SE Project) (ACS-4901)
• Granular Computing: Foundations and Applications --graduate course (GACS-7202)
• Advanced Machine Learning--graduate course (GACS-7206)

Graduate Student Publications

• C. Sengoz , S. Ramanna, S. Kehler, R. Goomer and P. Pries, "Machine Learning Approaches to Improve North American Precipitation Forecasts, IEEE Access, August 2023
• Danila Morozovskii and Sheela Ramanna, Rare Words in Text Summarization, Natural Language Processing Journal, vol. 3, June 2023
• Sheela Ramanna, Ashrafi Negin , Loster Evan, Debroni Karen, Turner Shelley, Rough-set based learning: Assessing patterns and predictability of anxiety, depression, and sleep scores associated with the use of cannabinoid-based medicine during COVID-19 Frontiers in Artificial Intelligence Journal, Frontiers in Artificial Intelligence Journal, vol. 6, 2023
• Blair Jamieson, Matt Stubbs , Sheela Ramanna, John Walker, Nick Prouse, Ryosuke Akutsu, Patrick de Perio and Wojciech Fedorko, Using machine learning to improve neutron identification in water Cherenkov detectors, Frontiers in Big Data Journal, Sep. 2022
• Seungho Choe , Sheela Ramanna, Cubical Homology-Based Machine Learning: An Application in Image Classification, Axioms 2022, 11, 112.
• Vrushang Patel , Sheela Ramanna, Ketan Kotecha, and Rahee Walambe, Short Text Classification with Tolerance-Based Soft Computing Method, Algorithms, 2022.
• Seeratpal Jaura and Sheela Ramanna, Named Entity Recognition on CORD-19 Bio-medical Dataset with Tolerance Rough Sets, Transactions on Rough Sets Journal, Springer LNCS vol. 13610, pages 11-21 [in press].
• Oumaima Hamila , Sheela Ramanna, Christopher J. Henry, Serkan Kiranyaz, Ridha Hamila, Rashid Mazhar, Tahir Hamid, Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography, 2021 Springer Journal of Multimedia and Application, 2022 .
• Anil Rahate , Rahee Walambe, Sheela Ramanna, Ketan Kotecha, Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions, Information Fusion, Elsevier, 2021 . ArXiv Preprint.
• Habib Ben Abdallah, Christopher J. Henry and Sheela Ramanna, 1-Dimensional polynomial neural networks for audio signal related problems, Knowledge-based Systems, Elsevier, 2022 . arXiv:2009.04077, 2020 ArXiv Preprint.
• Oumaima Hamila, Sheela Ramanna, Christopher J. Henry, Serkan Kiranyaz, Ridha Hamila, Rashid Mazhar, Tahir Hamid, Fully Automated 2D and 3D Convolutional Neural Networks Pipeline for Video Segmentation and Myocardial Infarction Detection in Echocardiography,2021 ArXiv Preprint.
• Anil Rahate, Shruti Mandaokar, Pulkit Chandel , Rahee Walambe, Sheela Ramanna, Ketan Kotecha, Employing Multimodal Co-learning to Evaluate the Robustness of Sensor Fusion for Industry 5.0 Tasks, 2022 Springer Journal of Soft Computing, March 2022 Paper.
• Habib Ben Abdallah , Christopher J. Henry and Sheela Ramanna, Polynomial degree reduction in the L2-norm on a symmetric interval for the canonical basis, Results in Applied Mathematics, Elsevier, Volume 12, November 2021, 100185. ArXiv Preprint.
• Vrushang Patel and Sheela Ramanna, Tolerance-based short text Sentiment Classifier, Proceedings of International Joint Rough Sets Conference 2021, Bratislava, Slovakia, LNAI 12872, pp 259-265.
• Negin Ashrafi and Sheela Ramanna, Application of Granular Computing-based Pre-processing in the labelling of Phonemes, Proceedings KES- Intelligent Decision Technology, Springer 2021, vol. 238, pp 141-150, Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1\_11.
• Rajesh Jaiswal and Sheela Ramanna, Detecting Overlapping Communities using Ensemble-based Distributed Neighbourhood Threshold Method in Social Networks, Intelligent Decision Technology Journal, vol. 15, no. 2, pp. 251-267, 2021 IOS Press.
• Hoora Moghaddam and Sheela Ramanna, Harvesting Patterns from Textual Web Sources with Tolerance Rough Sets, Patterns Journal, Cell Press, 2020, DOI.
• Rajesh Jaiswal and Sheela Ramanna, Detecting Overlapping Communities using Distributed Neighbourhood Threshold in Social Networks, Springer Nature Switzerland AG 2020. IJCRS 2020, LNAI 12179, pp. 432-445, 2020, DOI.
• Tridevi, K and Ramanna, S. Overlapping Community Detection in Social Networks with Voronoi and Tolerance neigbourhood-based method, Granular Computing Journal, Springer, 2019. DOI: 10.1007/s41066-019-00207-0
• V. Alhassan and C. Henry and S. Ramanna and C.Storie. A Deep Learning Framework for Land-use/land-cover Mapping and Analysis using Multispectral Satellite Imagery, Neural Computing and Applications Journal, Springer, 2019, DOI: 10.1007/s00521-019-04349-9.
• Bharadwaj, A and Ramanna, S. Categorizing Relational Facts from the Web with Fuzzy Rough Sets, Knowledge and Information Systems Journal, Springer, 2019, Volume. 61, Issue 3, 1695-1713.
• Ulaganathan, A. S. and Ramanna, S. Granular Methods in Automatic Music Genre Classification: A Case Study, Journal of Intelligent Information Systems, 2019, Vol. 52, Issue 1, 85-105.
• Kardan, V. and Ramanna, S. (2018). Tolerance Methods in Graph Clustering: Application to Community Detection in Social Networks. Int. Joint Conf. on Rough Sets, LNAI 11103, pp. 73-87, 2018.
• Tridevi, K. and Ramanna, S. Detecting Overlapping Communities in Social Networks with Voronoi and Tolerance Rough Sets, IEA/AIE 2018, , LNAI 10868, pp. 670-676, 2018.
• Singh, A. and Ramanna, S.: Application of Tolerance Near Sets to Audio Signal Classification. In: U. Stanczyk et al. (eds.), Advances in Feature Selection for Data and Pattern Recognition, Intelligent Systems Reference Library 138, Springer, 240-266, 2017 [Invited].
• Ramanna, S., Peters, J., Sengoz, C.: Application of tolerance rough sets in structured and unstructured text categorization: A survey. In: G.Wang et al. (eds.),Thriving Rough Sets, Studies in Computational Intelligence 708, pp. 119-173 (2017)[Invited].
• Bharadwaj, A., Ramanna, S.: Fuzzy rough set-based unstructured text categorization. In: M. Mouhoub and P. Langlais (Eds.): Canadian AI 2017, LNAI 10233, pp. 335-340 (2017).
• Ramanna, S., and Singh, A.: Tolerance-Based Approach to Audio Signal Classification, R. Khoury and C. Drummond (Eds.): Canadian AI 2016, LNAI 9673, pp. 83--88, 2016.
• Kaur, K., Ramanna, S., Henry, C.J.: Measuring the nearness of layered flow graphs: Application to Content Based Image Retrieval, Intelligent Decision Technologies Journal, IOS Press 10,(2016) 165--181.
• Sengoz, C., Ramanna, S.: Learning Relational Facts From the Web: A Tolerance Rough Set Approach, Pattern Recognition Letters Journal, Elsevier, 2015, 67(P2):130-137.
• Sengoz, C., Ramanna, S.: A semi-supervised learning algorithm for web information extraction with tolerance rough sets. In: Proc. of Web Intelligence Congress, Active Media Technology 2014, LNCS 8610. Springer, 1-10 (2014)
• T. Alusaifeer, S. Ramanna, C. J. Henry, J. F. Peters: GPU Implementation of MCE Approach to Finding Near Neighbourhoods, In: Rough Sets and Knowledge Technology 2013, LNAI 8171, Springer, 251-262(2013)
• B. Madduma, S. Ramanna: Image retrieval based on high level concept detection and semantic labelling. Intelligent Decision Technologies Journal, IOS Press, 6(3): 187--196 (2012)
• B.Madduma, S. Ramanna, Content-based Image Authentication Framework with Semi-fragile Hybrid Watermark Scheme, T. Czachorski (Eds.), Man-Machine Interactions 2, AISC 103, Berlin, Springer, 2011, 239-247.