Chandan Gautam

34 papers A* 1A 1B 1Misc 2Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	TGCD: A Framework for Generalized Category Discovery in Time-Series Data. AAAI Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy
2025	A	`conf`	Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. WACV Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li
2025	—	`conf`	MedGCD: Generalized Category Discovery in Medical Imaging. MICCAI (6) Ankit Das, Chandan Gautam, Pritee Agrawal, Feng Yang, Yong Liu, Ramasamy Savitha
2024	—	`conf`	Class Name Guided Out-of-Scope Intent Classification. EMNLP (Findings) Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li
2024	—	`conf`	Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning. MICCAI (12) Ankit Das, Chandan Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, Ramasamy Savitha, Yong Liu
2023	Misc	`conf`	Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram
2022	—	`conf`	Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. EMNLP (Findings) Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy
2022	J	`jnl`	Tf-GCZSL: Task-free generalized continual zero-shot learning. Neural Networks Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
2021	J	`jnl`	Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Trans. Syst. Man Cybern. Syst. Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja
2021	J	`jnl`	Generative Replay-based Continual Zero-Shot Learning. CoRR Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
2021	J	`jnl`	Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer
2021	Misc	`conf`	Meta-Cognition-Based Simple And Effective Approach To Object Detection. ICASSP Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram
2021	J	`jnl`	Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification. Neural Comput. Appl. Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
2021	J	`jnl`	Online Lifelong Generalized Zero-Shot Learning. CoRR Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
2020	J	`jnl`	AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cogn. Comput. Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
2020	J	`jnl`	Generalized Continual Zero-Shot Learning. CoRR Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram
2020	J	`jnl`	Meta-Cognition-Based Simple And Effective Approach To Object Detection. CoRR Sannidhi P. Kumar, Chandan Gautam, Suresh Sundaram
2020	J	`jnl`	Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification. CoRR Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
2020	J	`jnl`	Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer
2019	J	`jnl`	Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan
2019	J	`jnl`	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 Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
2019	J	`jnl`	KOC+: Kernel ridge regression based one-class classification using privileged information. Inf. Sci. Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
2019	J	`jnl`	Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. Knowl. Based Syst. Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
2019	J	`jnl`	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 Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
2018	J	`jnl`	Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. CoRR Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
2018	—	`conf`	Localized Multiple Kernel Support Vector Data Description. ICDM Workshops Chandan Gautam, Aruna Tiwari
2018	—	`conf`	Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis
2018	J	`jnl`	Multi-layer Kernel Ridge Regression for One-class Classification. CoRR Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis
2017	J	`jnl`	On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox. CoRR Chandan Gautam, Aruna Tiwari, Qian Leng
2017	J	`jnl`	On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. Neurocomputing Chandan Gautam, Aruna Tiwari, Qian Leng
2017	J	`jnl`	Online Learning with Regularized Kernel for One-class Classification. CoRR Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja
2016	B	`conf`	Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. IJCNN Chandan Gautam, Aruna Tiwari, Sriram Ravindran
2015	J	`jnl`	Counter propagation auto-associative neural network based data imputation. Inf. Sci. Chandan Gautam, Vadlamani Ravi
2015	J	`jnl`	Data imputation via evolutionary computation, clustering and a neural network. Neurocomputing Chandan Gautam, Vadlamani Ravi