Wavelet transform and variants of SVR with application in wind forecasting HS Dhiman, P Anand, D Deb Innovations in Infrastructure: Proceedings of ICIIF 2018, 501-511, 2018 | 36 | 2018 |
A heuristic technique to detect phishing websites using TWSVM classifier RS Rao, AR Pais, P Anand Neural Computing and Applications 33 (11), 5733-5752, 2021 | 35 | 2021 |
A ν-twin support vector machine based regression with automatic accuracy control R Rastogi, P Anand, S Chandra Applied Intelligence 46, 670-683, 2017 | 33 | 2017 |
A class of new support vector regression models P Anand, R Rastogi, S Chandra Applied Soft Computing 94, 106446, 2020 | 31 | 2020 |
A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model P Anand, R Rastogi, S Chandra Applied Soft Computing 94, 106473, 2020 | 25 | 2020 |
Large-margin distribution machine-based regression R Rastogi, P Anand, S Chandra Neural Computing and Applications 32 (8), 3633-3648, 2020 | 25 | 2020 |
Sparse support vector machine with pinball loss M Tanveer, S Sharma, R Rastogi, P Anand Transactions on Emerging Telecommunications Technologies 32 (2), e3820, 2021 | 16 | 2021 |
-norm Twin Support Vector Machine-based Regression R Rastogi, P Anand, S Chandra Optimization 66 (11), 1895-1911, 2017 | 7 | 2017 |
Time efficient variants of twin extreme learning machine P Anand, A Bharti, R Rastogi Intelligent Systems with Applications 17, 200169, 2023 | 5 | 2023 |
Improvement over pinball loss support vector machine P Anand, R Rastogi, S Chandra arXiv preprint arXiv:2106.01109, 2021 | 5 | 2021 |
A new asymmetric -insensitive pinball loss function based support vector quantile regression model P Anand, R Rastogi, S Chandra arXiv preprint arXiv:1908.06923, 2019 | 5 | 2019 |
A - support vector quantile regression model with automatic accuracy control P Anand, R Rastogi, S Chandra arXiv preprint arXiv:1910.09168, 2019 | 4 | 2019 |
Generalized—Loss Function-Based Regression P Anand, R Rastogi, S Chandra Machine intelligence and signal analysis, 395-409, 2018 | 4 | 2018 |
A combined reward-penalty loss function based extreme learning machine for binary classification P Anand, A Bharti 2019 Second International Conference on Advanced Computational and …, 2019 | 3 | 2019 |
A privacy-preserving twin support vector machine classifier for vertical partitioned data P Anand, JP Pandey, R Rastogi, S Chandra Computational Intelligence: Theories, Applications and Future Directions …, 2019 | 3 | 2019 |
Support vector regression via a combined reward cum penalty loss function P Anand, R Rastogi, S Chandra arXiv preprint arXiv:1904.12331, 2019 | 2 | 2019 |
A combined reward-penalty loss function based support vector machine P Anand 2018 International CET Conference on Control, Communication, and Computing …, 2018 | 2 | 2018 |
Huber SVR-Based Hybrid Models for Significant Wave Height Forecasting Using Buoy Sensors P Anand, S Jain, R Mishra IEEE Sensors Letters 7 (12), 1-4, 2023 | | 2023 |
Tube Loss: A Novel Approach for High Quality Prediction Interval Estimation P Anand, T Bandyopadhyay, HM Savaliya, S Chandra | | 2023 |
New improved wave hybrid models for hourly significant wave height forecasting P Anand, S Jain, H Savaliya IEEE Access, 2023 | | 2023 |