Data imputation via evolutionary computation, clustering and a neural network. - Chandan Gautam; Vadlamani Ravi (Neurocomputing, 2015)

Counter propagation auto-associative neural network based data imputation. - Chandan Gautam; Vadlamani Ravi (Inf. Sci., 2015)

Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. - Chandan Gautam; Aruna Tiwari; Sriram Ravindran (IJCNN, 2016)

Online Learning with Regularized Kernel for One-class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Kapil Ahuja (CoRR, 2017)

On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. - Chandan Gautam; Aruna Tiwari; Qian Leng (Neurocomputing, 2017)

Localized Multiple Kernel Support Vector Data Description. - Chandan Gautam; Aruna Tiwari (ICDM Workshops, 2018)

Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. - Chandan Gautam; Aruna Tiwari; Alexandros Iosifidis (SSCI, 2018)

Multi-layer Kernel Ridge Regression for One-class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Alexandros Iosifidis (CoRR, 2018)

Comprehensive evaluation of twin SVM based classifiers on UCI datasets. - Muhammad Tanveer 001; Chandan Gautam; Ponnuthurai N. Suganthan (Appl. Soft Comput., 2019)

Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (CoRR, 2019)

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). - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (CoRR, 2019)

KOC+: Kernel ridge regression based one-class classification using privileged information. - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (Inf. Sci., 2019)

Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. - Chandan Gautam; Ramesh Balaji; Sudharsan K; Aruna Tiwari; Kapil Ahuja (Knowl. Based Syst., 2019)

AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. - Chandan Gautam; Aruna Tiwari; Muhammad Tanveer 001 (Cogn. Comput., 2020)

Generalized Continual Zero-Shot Learning. - Chandan Gautam; Sethupathy Parameswaran; Ashish Mishra; Suresh Sundaram 003 (CoRR, 2020)

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. - Chandan Gautam; Pratik K. Mishra; Aruna Tiwari; Bharat Richhariya; Hari Mohan Pandey; Shuihua Wang; Muhammad Tanveer 001 (Neural Networks, 2020)

Meta-Cognition-Based Simple And Effective Approach To Object Detection. - Sannidhi P. Kumar; Chandan Gautam; Suresh Sundaram 003 (ICASSP, 2021)

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. - Chandan Gautam; Aruna Tiwari; Pratik K. Mishra; Suresh Sundaram 002; Alexandros Iosifidis; Muhammad Tanveer 001 (Cogn. Comput., 2021)

Generative Replay-based Continual Zero-Shot Learning. - Chandan Gautam; Sethupathy Parameswaran; Ashish Mishra; Suresh Sundaram 003 (CoRR, 2021)

Online Lifelong Generalized Zero-Shot Learning. - Chandan Gautam; Sethupathy Parameswaran; Ashish Mishra; Suresh Sundaram 003 (CoRR, 2021)

Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification. - Pratik K. Mishra; Chandan Gautam; Aruna Tiwari (Neural Comput. Appl., 2021)

Adaptive Online Learning With Regularized Kernel for One-Class Classification. - Chandan Gautam; Aruna Tiwari; Suresh Sundaram 002; Kapil Ahuja (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. - Chandan Gautam; Sethupathy Parameswaran; Vinay Verma; Suresh Sundaram 002; Savitha Ramasamy (EMNLP (Findings), 2022)

Tf-GCZSL: Task-free generalized continual zero-shot learning. - Chandan Gautam; Sethupathy Parameswaran; Ashish Mishra; Suresh Sundaram 003 (Neural Networks, 2022)

Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. - Chandan Gautam; Aditya Kane; Savitha Ramasamy; Suresh Sundaram 002 (ICASSP, 2023)

Class Name Guided Out-of-Scope Intent Classification. - Chandan Gautam; Sethupathy Parameswaran; Aditya Kane; Yuan Fang 001; Savitha Ramasamy; Suresh Sundaram 002; Sunil Sahu; Xiaoli Li 001 (EMNLP (Findings), 2024)

Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning. - Ankit Das; Chandan Gautam; Hisham Cholakkal; Pritee Agrawal; Feng Yang; Ramasamy Savitha; Yong Liu (MICCAI (12), 2024)

Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. - Sethupathy Parameswaran; Yuan Fang 001; Chandan Gautam; Savitha Ramasamy; Xiaoli Li 001 (WACV, 2025)