Reshma Rastogi

发表

Maximum Margin Minimum Variance Twin Support Vector Machine

Sweta Sharma, Reshma Rastogi, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Least Squares Twin Extreme Learning Machine for Pattern Classification

Reshma Rastogi, Amisha Bharti, 2019 .

Learning TWSVM using Privilege Information

Aman Pal, Reshma Rastogi, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers

Sweta Sharma, Reshma Rastogi, Hamid Safdari, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Generalized Pinball Loss SVMs

Aman Pal, Suresh Chandra, Reshma Rastogi, 2018, Neurocomputing.

Support Vector Regression via a Combined Reward Cum Penalty Loss Function pdf

Suresh Chandra, Reshma Rastogi, Pritam Anand, 2019, ArXiv.

Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification

Reshma Rastogi, Pooja Saigal, Suresh Chandra, 2020, Neural Processing Letters.

A class of new Support Vector Regression models

Reshma Rastogi, Pritam Anand, Suresh Chandra, 2020, Appl. Soft Comput..

Fuzzy semi-supervised weighted linear loss twin support vector clustering

Aman Pal, Reshma Rastogi, R. Rastogi, 2019, Knowl. Based Syst..

Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification

Sweta Sharma, Reshma Rastogi, R. Rastogi, 2018, Australasian Conference on Artificial Intelligence.

A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model

Reshma Rastogi, Pritam Anand, Suresh Chandra, 2020, Appl. Soft Comput..

Tree-Based Structural Twin Support Tensor Clustering with Square Loss Function

Sweta Sharma, Reshma Rastogi, 2017, PReMI.

Angle-based twin parametric-margin support vector machine for pattern classification

Suresh Chandra, Reshma Rastogi, Pooja Saigal, 2018, Knowl. Based Syst..

Multi-category ternion support vector machine

Suresh Chandra, Reshma Rastogi, Pooja Saigal, 2019, Eng. Appl. Artif. Intell..

Tree-based localized fuzzy twin support vector clustering with square loss function

Reshma Rastogi, Pooja Saigal, R. Rastogi, 2017, Applied Intelligence.

Attentional Recurrent Neural Networks for Sentence Classification

Reshma Rastogi, Ankit Kumar, 2019 .

Sparse support vector machine with pinball loss

M. Tanveer, Reshma Rastogi, S. Sharma, 2020, Trans. Emerg. Telecommun. Technol..

A Privacy-Preserving Twin Support Vector Machine Classifier for Vertical Partitioned Data

Suresh Chandra, Reshma Rastogi, Pritam Anand, 2018, Computational Intelligence: Theories, Applications and Future Directions - Volume I.

Fast Laplacian twin support vector machine with active learning for pattern classification

Reshma Rastogi, Sweta Sharma, R. Rastogi, 2019, Appl. Soft Comput..

A Pinball loss based Extreme Learning Machine for pattern classification

Reshma Rastogi, Amisha Bharti, Pritam Anand, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

A ν-twin support vector machine based regression with automatic accuracy control

Suresh Chandra, Reshma Rastogi, Pritam Anand, 2017, Applied Intelligence.

A new asymmetric $\epsilon$-insensitive pinball loss function based support vector quantile regression model

Reshma Rastogi, Pritam Anand, Suresh Chandra, 2019 .

A ν-support vector quantile regression model with automatic accuracy control pdf

Reshma Rastogi, Pritam Anand, Suresh Chandra, 2019, Research Reports on Computer Science.

Insensitive Zone based Pinball Loss Twin Support Vector Machine for Pattern Classification

Sweta Sharma, Reshma Rastogi, R. Rastogi, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function

Suresh Chandra, Reshma Rastogi, Sweta Sharma, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Large-margin Distribution Machine-based regression

Suresh Chandra, Reshma Rastogi, Pritam Anand, 2018, Neural Computing and Applications.

Self-Attention Enhanced Recurrent Neural Networks for Sentence Classification

Reshma Rastogi, Ankit Kumar, R. Rastogi, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Semi-supervised Multi-category Classification with Generative Adversarial Networks

Reshma Rastogi, Ritesh Gangnani, 2019, PReMI.

A Unified Multi-label Relationship Learning

Reshma Rastogi, Sweta Sharma, Simran Popli, 2019, 2019 14th International Conference on Computer Science & Education (ICCSE).

Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering

Reshma Rastogi, Pooja Saigal, Vaibhav Khanna, 2017, Neurocomputing.

Robust Parametric Twin Support Vector Machine for Pattern Classification

Suresh Chandra, Sweta Sharma, Reshma Rastogi, 2018, Neural Processing Letters.

Ternary tree-based structural twin support tensor machine for clustering

Reshma Rastogi, Sweta Sharma, R. Rastogi, 2020, Pattern Analysis and Applications.

Efficient Learning of Pinball TWSVM using Privileged Information and its applications pdf

Aman Pal, Reshma Rastogi, R. Rastogi, 2021, ArXiv.

Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning

Reshma Rastogi, Sayed Mortaza, R. Rastogi, 2021, Knowl. Based Syst..

Improvement over Pinball Loss Support Vector Machine pdf

Reshma Rastogi, Pritam Anand, Suresh Chandra, 2021, ArXiv.