Tube Loss based Deep Networks For Improving the Probabilistic Forecasting of Wind Speed.
CoRR, May, 2025
Uncertainty Quantification in SVM prediction.
CoRR, May, 2025
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecasting.
CoRR, 2024
On Demand Reliability in the Internet of Things Enabled Sensors Networks.
Proceedings of the International Wireless Communications and Mobile Computing, 2024
Time efficient variants of Twin Extreme Learning Machine.
Intell. Syst. Appl., 2023
New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting.
IEEE Access, 2023
A heuristic technique to detect phishing websites using TWSVM classifier.
Neural Comput. Appl., 2021
Sparse support vector machine with pinball loss.
Trans. Emerg. Telecommun. Technol., 2021
Improvement over Pinball Loss Support Vector Machine.
CoRR, 2021
Learning a powerful SVM using piece-wise linear loss functions.
CoRR, 2021
Large-margin Distribution Machine-based regression.
Neural Comput. Appl., 2020
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model.
Appl. Soft Comput., 2020
A class of new Support Vector Regression models.
Appl. Soft Comput., 2020
A ν-support vector quantile regression model with automatic accuracy control.
CoRR, 2019
Support Vector Regression via a Combined Reward Cum Penalty Loss Function.
CoRR, 2019
A Pinball loss based Extreme Learning Machine for pattern classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
A ν-twin support vector machine based regression with automatic accuracy control.
Appl. Intell., 2017