Pritam Anand

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Top Venues

Neural Comput. Appl.

Appl. Soft Comput.

Publications

Pritam Anand, Shantanu Jain, Harsh Savaliya
New Improved Wave Hybrid Models for Short-Term Significant Wave Height Forecasting. IEEE Access 11 (2023)
Pritam Anand, Amisha Bharti, Reshma Rastogi
Time efficient variants of Twin Extreme Learning Machine. Intell. Syst. Appl. 17 (2023)
Routhu Srinivasa Rao, Alwyn Roshan Pais, Pritam Anand
A heuristic technique to detect phishing websites using TWSVM classifier. Neural Comput. Appl. 33 (11) (2021)
Pritam Anand, Reshma Rastogi, Suresh Chandra
Improvement over Pinball Loss Support Vector Machine. CoRR (2021)
Mohammad Tanveer, Sweta Sharma, Reshma Rastogi, Pritam Anand
Sparse support vector machine with pinball loss. Trans. Emerg. Telecommun. Technol. 32 (2) (2021)
Pritam Anand
Learning a powerful SVM using piece-wise linear loss functions. CoRR (2021)
Reshma Rastogi, Pritam Anand, Suresh Chandra
Large-margin Distribution Machine-based regression. Neural Comput. Appl. 32 (8) (2020)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A class of new Support Vector Regression models. Appl. Soft Comput. 94 (2020)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. Appl. Soft Comput. 94 (2020)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A ν-support vector quantile regression model with automatic accuracy control. CoRR (2019)
Pritam Anand, Reshma Rastogi, Suresh Chandra
A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. CoRR (2019)
Pritam Anand, Reshma Rastogi, Suresh Chandra
Support Vector Regression via a Combined Reward Cum Penalty Loss Function. CoRR (2019)
Pritam Anand, Reshma Rastogi, Amisha Bharti
A Pinball loss based Extreme Learning Machine for pattern classification. SSCI (2018)
Reshma Rastogi, Pritam Anand, Suresh Chandra
A ν-twin support vector machine based regression with automatic accuracy control. Appl. Intell. 46 (3) (2017)