Prakash B. Gohain

Orcid: 0000-0002-1575-8581

According to our database1, Prakash B. Gohain authored at least 10 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Robust Information Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models.
IEEE Trans. Signal Process., 2023

Model Selection in High-Dimensional Block-Sparse General Linear Regression.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Scale-Invariant and consistent Bayesian information criterion for order selection in linear regression models.
Signal Process., 2022

Neural Greedy Pursuit for Feature Selection.
Proceedings of the International Joint Conference on Neural Networks, 2022

New Improved Criterion for Model Selection in Sparse High-Dimensional Linear Regression Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

2020
Statistical model-based evaluation of neural networks.
CoRR, 2020

Relative Cost Based Model Selection for Sparse High-Dimensional Linear Regression Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018
Cooperative Energy Detection With Heterogeneous Sensors Under Noise Uncertainty: SNR Wall and Use of Evidence Theory.
IEEE Trans. Cogn. Commun. Netw., 2018

2017
Evidence Theory Based Cooperative Energy Detection under Noise Uncertainty.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

Cooperative energy detection using dempster-shafer theory under noise uncertainties.
Proceedings of the 9th International Conference on Communication Systems and Networks, 2017


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