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S. Sumitra 0001
Person information
- affiliation: Indian Institute of Space Science and Technology, Department of Mathematics, Thiruvananthapuram, India
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2020 – today
- 2024
- [j7]Asif Salim, S. Sumitra:
Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4373-4384 (2024) - [d3]Parvathi Nair, Parvathy S. S., Nancy Sunil, Anurag Mukati, Charu Chauhan, S. Sumitra, B. S. Manoj:
IIST BCI Dataset-1 for Selected Common Malayalam Words. IEEE DataPort, 2024 - [d2]Parvathy S. S., Nancy Sunil, Shubham Tayade, Chittaloori Likhitha, S. Sumitra, B. S. Manoj:
IIST BCI Dataset-3 for 100 Malayalam Words. IEEE DataPort, 2024 - [d1]Nancy Sunil, Parvathy S. S., Shubham Tayade, Chittaloori Likhitha, S. Sumitra, B. S. Manoj:
IIST BCI Dataset-5 for Malayalam Vowels and Consonants. IEEE DataPort, 2024 - 2023
- [j6]Asif Salim, S. S. Shiju, S. Sumitra:
Neighborhood Preserving Kernels for Attributed Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 828-840 (2023) - 2022
- [j5]Asif Salim, S. S. Shiju, S. Sumitra:
Graph kernels based on optimal node assignment. Knowl. Based Syst. 244: 108519 (2022) - [c5]Adarsh Kappiyath, Silpa Vadakkeeveetil Sreelatha, S. Sumitra:
Self-Supervised Enhancement of Latent Discovery in GANs. AAAI 2022: 7078-7086 - [c4]Pratik Kar, Vineeth Bala Sukumaran, S. Sumitra:
On safe sequential optimization using posterior sampling. SPCOM 2022: 1-5 - 2021
- [c3]Adarsh Kappiyath, Silpa V. S, S. Sumitra:
Disentanglement based Active Learning. IJCNN 2021: 1-8 - [i6]Sandeep CR, Asif Salim, Sumitra Sarada:
Selecting the Points for Training using Graph Centrality. CoRR abs/2104.14123 (2021) - [i5]Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, S. Sumitra:
Self-supervised Enhancement of Latent Discovery in GANs. CoRR abs/2112.08835 (2021) - 2020
- [j4]Asif Salim, S. S. Shiju, S. Sumitra:
Design of multi-view graph embedding using multiple kernel learning. Eng. Appl. Artif. Intell. 90: 103534 (2020) - [i4]Asif Salim, S. Sumitra:
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory. CoRR abs/2009.13801 (2020) - [i3]Asif Salim, Shiju S. S., S. Sumitra:
Neighborhood Preserving Kernels for Attributed Graphs. CoRR abs/2010.06261 (2020)
2010 – 2019
- 2019
- [j3]A. Aravindh, S. S. Shiju, S. Sumitra:
Kernel collaborative online algorithms for multi-task learning. Ann. Math. Artif. Intell. 86(4): 269-286 (2019) - [i2]Rahul Vashisht, H. Viji, T. Sundararajan, D. Mohankumar, S. Sumitra:
Structural Health Monitoring of Cantilever Beam, a Case Study - Using Bayesian Neural Network AND Deep Learning. CoRR abs/1908.06326 (2019) - [i1]Silpa V. S, Adarsh K, S. Sumitra, Raju K. George:
Disentanglement based Active Learning. CoRR abs/1912.07018 (2019) - 2017
- [j2]Shiju S. S., Asif Salim, S. Sumitra:
Multiple kernel learning using composite kernel functions. Eng. Appl. Artif. Intell. 64: 391-400 (2017) - [j1]Shiju S. S., S. Sumitra:
Multiple kernel learning using single stage function approximation for binary classification problems. Int. J. Syst. Sci. 48(16): 3569-3580 (2017) - [c2]S. S. Shiju, Asif Salim, S. Sumitra:
Formulation of Two Stage Multiple Kernel Learning Using Regression Framework. PReMI 2017: 61-68 - [c1]Asif Salim, S. S. Shiju, S. Sumitra:
Effectiveness of Representation and Length Variation of Shortest Paths in Graph Classification. PReMI 2017: 509-516
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last updated on 2024-08-08 20:14 CEST by the dblp team
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