Chandan Gautam

According to our database, Chandan Gautam authored at least 27 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Class Name Guided Out-of-Scope Intent Classification.

Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples.

Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Tf-GCZSL: Task-free generalized continual zero-shot learning.

Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

Neural Networks, 2022

Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning.

Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Adaptive Online Learning With Regularized Kernel for One-Class Classification.

Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja

IEEE Trans. Syst. Man Cybern. Syst., 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

Online Lifelong Generalized Zero-Shot Learning.

Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

CoRR, 2021

Generative Replay-based Continual Zero-Shot Learning.

Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

CoRR, 2021

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification.

Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer

Cogn. Comput., 2021

Meta-Cognition-Based Simple And Effective Approach To Object Detection.

Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Neural Networks, 2020

Generalized Continual Zero-Shot Learning.

Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram

CoRR, 2020

AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information.

Chandan Gautam, Aruna Tiwari, Muhammad Tanveer

Cogn. Comput., 2020

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

KOC+: Kernel ridge regression based one-class classification using privileged information.

Chandan Gautam, Aruna Tiwari, Muhammad Tanveer

Inf. Sci., 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

CoRR, 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

CoRR, 2019

Comprehensive evaluation of twin SVM based classifiers on UCI datasets.

Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan

Appl. Soft Comput., 2019

2018

Multi-layer Kernel Ridge Regression for One-class Classification.

Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis

CoRR, 2018

Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification.

Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Localized Multiple Kernel Support Vector Data Description.

Chandan Gautam, Aruna Tiwari

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

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

Online Learning with Regularized Kernel for One-class Classification.

Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja

CoRR, 2017

2016

Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers.

Chandan Gautam, Aruna Tiwari, Sriram Ravindran

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Counter propagation auto-associative neural network based data imputation.

Chandan Gautam, Vadlamani Ravi

Inf. Sci., 2015

Data imputation via evolutionary computation, clustering and a neural network.

Chandan Gautam, Vadlamani Ravi

Neurocomputing, 2015