Deeksha Aggarwal (MS2019006), Uttam Kumar, Vivek Yadav from IIIT Bangalore, Sushant Kulkarni, Indian Institute of Technology, Madras, J. Senthilnath, Md Meftahul Ferdaus, and Li Xiaoli, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR),Singapore, “SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification”, in proceedings of 21st International Conference on Data Mining Workshops (ICDMW), held from December 7-10 at Auckland, New Zealand. pp. 322-330. IEEE, 2021.DOI: 10.1109/ICDMW53433.2021.00047https://www.computer.org/csdl/proceedings-article/icdmw/2021/242700a322/1AjSMYp4PhC
Gopika Gopan K (PH2014003), S. V. R Aditya Reddy (IMT2014047), Madhav Rao, Neelam Sinha, “Analysis of single channel electroencephalographic signals for visual creativity: A pilot study” was published in the Elsevier journal, Biomedical Signal Processing and Control, Vol 75, pg 103542.
Deeksha Aggarwal (MS2019006), Uttam Kumar from IIIT Bangalore and J. Senthilnath, Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), Singapore, “Towards Building a Flexible Online Learning Model for Data Stream Classification”, in proceedings of 5th Joint International Conference on Data Science & Management of Data from January 7-10 (9th ACM IKDD CODS and 27th COMAD) (CODS-COMAD 2022) at Association for Computing Machinery, New York, NY, USA, 320-321.
DOI:https://doi.org/10.1145/3493700.3493761
https://cods-comad.in/#:~:text=The%205th%20Joint%20International%20Conference,Data%20Sciences%20and%20their%20applications.
