Reshma Rastogi

55 papers Journal 36Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hypergraph-based adaptive manifold learning for gene selection. Knowl. Inf. Syst. Mamta Bhattarai Lamsal, Reshma Rastogi
2026	J	`jnl`	Unified Twin Support Vector Machines for Large-Scale Pattern Classification. IEEE Trans. Emerg. Top. Comput. Intell. Sambhav Jain, Reshma Rastogi
2025	J	`jnl`	A hypergraph embedded entropy approach to gene selection. Knowl. Inf. Syst. Mamta Bhattarai Lamsal, Reshma Rastogi
2025	J	`jnl`	GBSVR: Granular Ball Support Vector Regression. CoRR Reshma Rastogi, Ankush Bisht, Sanjay Kumar, Suresh Chandra
2025	J	`jnl`	Oblique random forests with binary and ternary decision structures and non-parallel hyperplanes classifiers. Int. J. Data Sci. Anal. Pooja Saigal, Anubhav David, Reshma Rastogi
2024	—	`conf`	Adaptive Graph-Based Manifold Learning for Gene Selection. ICPR (1) Reshma Rastogi, Mamta Bhattarai Lamsal
2024	—	`conf`	Addressing Multi-Label Learning with Missing Labels via Feature Relevance guided Scaled Model Coefficients. ICPR (24) Sanjay Kumar, Reshma Rastogi
2024	—	`conf`	Binary-Tree Based Mean-Averaging Estimation for Multi-label Classification. ICPR (10) Reshma Rastogi, Sayanta Chowdhury
2024	J	`jnl`	Comprehensive review on twin support vector machines. Ann. Oper. Res. M. Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie
2024	—	`conf`	Establishing Interconnections of Similarity-Based Classifiers for Multi-label Learning with Missing Labels. ICPR (2) Sambhav Jain, Reshma Rastogi
2024	—	`conf`	HyperGraph based Imbalance Multi-label Classification with Label Specific Features. COMAD/CODS (December) Reshma Rastogi, Dev Nirwal
2024	—	`conf`	Hypergraph Regularized Semi-supervised Least Squares Twin Support Vector Machine for Multilabel Classification. ICPR (24) Reshma Rastogi, Dev Nirwal
2024	—	`conf`	Improved Hypergraph Laplacian Based Semi-supervised Support Vector Machine. ICPR (10) Reshma Rastogi, Dev Nirwal
2024	J	`jnl`	Parametric non-parallel support vector machines for pattern classification. Mach. Learn. Sambhav Jain, Reshma Rastogi
2023	J	`jnl`	Discriminatory Label-specific Weights for Multi-label Learning with Missing Labels. Neural Process. Lett. Reshma Rastogi, Sanjay Kumar
2023	J	`jnl`	Multi-label learning with missing labels using sparse global structure for label-specific features. Appl. Intell. Sanjay Kumar, Nadira Ahmadi, Reshma Rastogi
2023	J	`jnl`	Time efficient variants of Twin Extreme Learning Machine. Intell. Syst. Appl. Pritam Anand, Amisha Bharti, Reshma Rastogi
2022	—	`conf`	Auxiliary Label Embedding for Multi-label Learning with Missing Labels. CVMI Sanjay Kumar, Reshma Rastogi
2022	J	`jnl`	Imbalance multi-label data learning with label specific features. Neurocomputing Reshma Rastogi, Sayed Mortaza
2022	J	`jnl`	Low rank label subspace transformation for multi-label learning with missing labels. Inf. Sci. Sanjay Kumar, Reshma Rastogi
2022	J	`jnl`	Multi-label learning via minimax probability machine. Int. J. Approx. Reason. Reshma Rastogi, Sambhav Jain
2021	J	`jnl`	Comprehensive Review On Twin Support Vector Machines. CoRR Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao
2021	J	`jnl`	Efficient Learning of Pinball TWSVM using Privileged Information and its applications. CoRR Reshma Rastogi, Aman Pal
2021	J	`jnl`	Improvement over Pinball Loss Support Vector Machine. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2021	J	`jnl`	Large-Scale Twin Parametric Support Vector Machine Using Pinball Loss Function. IEEE Trans. Syst. Man Cybern. Syst. Sweta Sharma, Reshma Rastogi, Suresh Chandra
2021	J	`jnl`	Multi-label classification with Missing Labels using Label Correlation and Robust Structural Learning. Knowl. Based Syst. Reshma Rastogi, Sayed Mortaza
2021	J	`jnl`	Sparse support vector machine with pinball loss. Trans. Emerg. Telecommun. Technol. Mohammad Tanveer, Sweta Sharma, Reshma Rastogi, Pritam Anand
2021	—	`conf`	Stochastic Quasi-Newton Minimum Complexity Machine for Pattern Classification. PReMI Reshma Rastogi, Sweta Sharma, Suresh Chandra
2021	J	`jnl`	Ternary tree-based structural twin support tensor machine for clustering. Pattern Anal. Appl. Reshma Rastogi, Sweta Sharma
2020	J	`jnl`	A class of new Support Vector Regression models. Appl. Soft Comput. Pritam Anand, Reshma Rastogi, Suresh Chandra
2020	J	`jnl`	A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model. Appl. Soft Comput. Pritam Anand, Reshma Rastogi, Suresh Chandra
2020	J	`jnl`	Large-margin Distribution Machine-based regression. Neural Comput. Appl. Reshma Rastogi, Pritam Anand, Suresh Chandra
2020	J	`jnl`	Semi-supervised Weighted Ternary Decision Structure for Multi-category Classification. Neural Process. Lett. Pooja Saigal, Reshma Rastogi, Suresh Chandra
2019	—	`conf`	A Unified Multi-label Relationship Learning. ICCSE Reshma Rastogi, Simran Popli, Nima Dorji Moktan, Sweta Sharma
2019	J	`jnl`	A new asymmetric ε-insensitive pinball loss function based support vector quantile regression model. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2019	J	`jnl`	A ν-support vector quantile regression model with automatic accuracy control. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2019	J	`jnl`	Fast Laplacian twin support vector machine with active learning for pattern classification. Appl. Soft Comput. Reshma Rastogi, Sweta Sharma
2019	J	`jnl`	Fuzzy semi-supervised weighted linear loss twin support vector clustering. Knowl. Based Syst. Reshma Rastogi, Aman Pal
2019	J	`jnl`	Multi-category ternion support vector machine. Eng. Appl. Artif. Intell. Pooja Saigal, Suresh Chandra, Reshma Rastogi
2019	—	`conf`	Semi-supervised Multi-category Classification with Generative Adversarial Networks. PReMI (1) Reshma Rastogi, Ritesh Gangnani
2019	J	`jnl`	Support Vector Regression via a Combined Reward Cum Penalty Loss Function. CoRR Pritam Anand, Reshma Rastogi, Suresh Chandra
2018	—	`conf`	A Pinball loss based Extreme Learning Machine for pattern classification. SSCI Pritam Anand, Reshma Rastogi, Amisha Bharti
2018	J	`jnl`	Angle-based twin parametric-margin support vector machine for pattern classification. Knowl. Based Syst. Reshma Rastogi, Pooja Saigal, Suresh Chandra
2018	—	`conf`	Exploring Data Reduction Techniques for Time Efficient Support Vector Machine Classifiers. SSCI Reshma Rastogi, Hamid Safdari, Sweta Sharma
2018	J	`jnl`	Generalized Pinball Loss SVMs. Neurocomputing Reshma Rastogi, Aman Pal, Suresh Chandra
2018	—	`conf`	Insensitive Zone based Pinball Loss Twin Support Vector Machine for Pattern Classification. SSCI Sweta Sharma, Reshma Rastogi
2018	—	`conf`	Learning TWSVM using Privilege Information. SSCI Aman Pal, Reshma Rastogi
2018	—	`conf`	Maximum Margin Minimum Variance Twin Support Vector Machine. SSCI Sweta Sharma, Reshma Rastogi
2018	J	`jnl`	Robust Parametric Twin Support Vector Machine for Pattern Classification. Neural Process. Lett. Reshma Rastogi, Sweta Sharma, Suresh Chandra
2018	—	`conf`	Self-Attention Enhanced Recurrent Neural Networks for Sentence Classification. SSCI Ankit Kumar, Reshma Rastogi
2018	—	`conf`	Stochastic Conjugate Gradient Descent Twin Support Vector Machine for Large Scale Pattern Classification. Australasian Conference on Artificial Intelligence Sweta Sharma, Reshma Rastogi
2017	J	`jnl`	A ν-twin support vector machine based regression with automatic accuracy control. Appl. Intell. Reshma Rastogi, Pritam Anand, Suresh Chandra
2017	J	`jnl`	Divide and conquer approach for semi-supervised multi-category classification through localized kernel spectral clustering. Neurocomputing Pooja Saigal, Vaibhav Khanna, Reshma Rastogi
2017	—	`conf`	Tree-Based Structural Twin Support Tensor Clustering with Square Loss Function. PReMI Reshma Rastogi, Sweta Sharma
2017	J	`jnl`	Tree-based localized fuzzy twin support vector clustering with square loss function. Appl. Intell. Reshma Rastogi, Pooja Saigal