Rakesh Katuwal

Orcid: 0000-0002-3624-4344

According to our database1, Rakesh Katuwal authored at least 16 papers between 2017 and 2023.

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

Timeline

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Bibliography

2023
Ensemble Deep Random Vector Functional Link Neural Network for Regression.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023

2022
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification.
Pattern Recognit., 2022

Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification.
CoRR, 2022

2021
Random vector functional link neural network based ensemble deep learning.
Pattern Recognit., 2021

On the origins of randomization-based feedforward neural networks.
Appl. Soft Comput., 2021

Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features.
Appl. Soft Comput., 2021

2020
Heterogeneous oblique random forest.
Pattern Recognit., 2020

Oblique Random Forests on Residual Network Features.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Random Vector Functional Link Neural Network based Ensemble Deep Learning.
CoRR, 2019

Stacked autoencoder based deep random vector functional link neural network for classification.
Appl. Soft Comput., 2019

Classification of Stock Market Trends with Confidence-Based Selective Predictions.
Proceedings of the Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing, 2019

2018
An ensemble of decision trees with random vector functional link networks for multi-class classification.
Appl. Soft Comput., 2018

Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A heterogeneous ensemble of trees.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

An Ensemble of Kernel Ridge Regression for Multi-class Classification.
Proceedings of the International Conference on Computational Science, 2017


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