| Possibilities and Challenges of Online Education in India During the COVID-19 Pandemic S Sengupta International Journal of Web-Based Learning and Teaching Technologies …, 2022 | 49 | 2022 |
| Machine Learning in the Healthcare Sector and the Biomedical Big Data: Techniques, Applications, and Challenges TH Sardar, A Khatun, S Sengupta, Y Alam, T Ara Big Data Computing, 336-352, 2024 | 22 | 2024 |
| Predicting applicable law sections from judicial case reports using legislative text analysis with machine learning S Sengupta, V Dave Journal of Computational Social Science, 1-14, 2021 | 20 | 2021 |
| Construction of Learning Path Using Ant Colony Optimization from a Frequent Pattern Graph S Sengupta, S Sahu, R Dasgupta International Journal of Computer Science Issues (IJCSI) 8 (Issue 6), p314, 2011 | 18 | 2011 |
| Designing a scaffolding for supporting personalized synchronous e-learning S Sengupta, B Mukherjee, S Bhattacharya International Conference of Advanced Computer Science & Information …, 2012 | 14 | 2012 |
| Comparing deep feature extraction strategies for diabetic retinopathy stage classification from fundus images N Mukherjee, S Sengupta Arabian Journal for Science and Engineering 48 (8), 10335-10354, 2023 | 11 | 2023 |
| Towards Finding a Minimal Set of Features for Predicting Students' Performance Using Educational Data Mining S Sengupta I.J. Modern Education and Computer Science, 44-54, 2023 | 9 | 2023 |
| Application of deep learning approaches for classification of diabetic retinopathy stages from fundus retinal images: a survey N Mukherjee, S Sengupta Multimedia Tools and Applications 83 (14), 43115-43175, 2024 | 8 | 2024 |
| A Review on the Adaptive Features of E-Learning S Datta, S Sengupta International Journal of Learning and Teaching 4 (4), 277-284, 2018 | 7 | 2018 |
| Comparing Different Preprocessing Techniques for the Classification Tasks in Diabetic Retinopathy from Fundus Images N Mukherjee, S Sengupta Proceedings of International Conference on Advanced Computing Applications …, 2022 | 6 | 2022 |
| Forecasting the peak of covid-19 daily cases in india using time series analysis and multivariate lstm S Sengupta International Conference on Artificial Intelligence and Soft Computing, 2020 | 6 | 2020 |
| Use of Semi-Formal and Formal Methods in Requirement Engineering of ILMS S Sengupta, R Dasgupta ACM SIGSOFT Software Engineering Notes 40 (1), 1-13, 2015 | 6 | 2015 |
| OLAP based Scaffolding to support Personalized Synchronous e-Learning S Sengupta, B Mukherjee, S Bhattacharya, R Dasgupta International Journal of Managing Information Technology 4 (3), 71, 2012 | 6 | 2012 |
| A Data Mining Approach to Determine an Efficient Learning Path S Sengupta, R Dasgupta WorldComp 2010, International Conference on Computer Science, 59-64, 2010 | 6 | 2010 |
| Architectural design of a LMS with LTSA-conformance S Sengupta, R Dasgupta Education and Information Technologies 22, 271-296, 2017 | 5 | 2017 |
| A VDM-based Approach for Specifying and Testing Requirements of Web-applications S Sengupta, R Dasgupta Procedia Computer Science 46, 774-783, 2015 | 5 | 2015 |
| A comparison algorithm to check LTSA Layer 1 and SCORM compliance in e-Learning sites S Sengupta, S Pal, N Banerjee arXiv preprint arXiv:1201.3981, 2012 | 5 | 2012 |
| Automated Mapping of Course Outcomes to Program Outcomes using Natural Language Processing and Machine Learning S Sengupta, AK Das 2023 IEEE 3rd Applied Signal Processing Conference (ASPCON), 44-48, 2023 | 4 | 2023 |
| LTSA conformance testing to architectural design of LMS using ontology S Sengupta, R Dasgupta Education and Information Technologies 22, 3017-3035, 2017 | 4 | 2017 |
| INTEGRATION OF FUNCTIONAL AND INTERFACE REQUIREMENTS OF AN WEB BASED SOFTWARE: A VDM BASED FORMAL APPROACH S Sengupta, R Dasgupta From Proceeding (793) Artificial Intelligence and Applications / 794 …, 2013 | 4 | 2013 |
Nabendu ChakiProfessor, University of CalcuttaVerified email at ieee.org