Chandan Gautam

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Kernel Ridge Regression

Minimum Variance

Top Venues

Publications

Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram
Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP (2023)
Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy
Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. EMNLP (Findings) (2022)
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
Tf-GCZSL: Task-free generalized continual zero-shot learning. Neural Networks 155 (2022)
Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja
Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Trans. Syst. Man Cybern. Syst. 51 (3) (2021)
Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram
Meta-Cognition-Based Simple And Effective Approach To Object Detection. ICASSP (2021)
Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13 (2) (2021)
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification. Neural Comput. Appl. 33 (19) (2021)
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
Online Lifelong Generalized Zero-Shot Learning. CoRR (2021)
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
Generative Replay-based Continual Zero-Shot Learning. CoRR (2021)
Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks 123 (2020)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cogn. Comput. 12 (2) (2020)
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
Generalized Continual Zero-Shot Learning. CoRR (2020)
Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram
Meta-Cognition-Based Simple And Effective Approach To Object Detection. CoRR (2020)
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification. CoRR (2020)
Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. 83 (2019)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information). CoRR (2019)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). CoRR (2019)
Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. Knowl. Based Syst. 165 (2019)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
KOC+: Kernel ridge regression based one-class classification using privileged information. Inf. Sci. 504 (2019)
Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI (2018)
Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR (2018)
Chandan Gautam, Aruna Tiwari
Localized Multiple Kernel Support Vector Data Description. ICDM Workshops (2018)
Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. CoRR (2018)
Chandan Gautam, Aruna Tiwari, Qian Leng
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. Neurocomputing 261 (2017)
Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja
Online Learning with Regularized Kernel for One-class Classification. CoRR (2017)
Chandan Gautam, Aruna Tiwari, Qian Leng
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox. CoRR (2017)
Chandan Gautam, Aruna Tiwari, Sriram Ravindran
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. IJCNN (2016)
Chandan Gautam, Vadlamani Ravi
Data imputation via evolutionary computation, clustering and a neural network. Neurocomputing 156 (2015)
Chandan Gautam, Vadlamani Ravi
Counter propagation auto-associative neural network based data imputation. Inf. Sci. 325 (2015)