Savitha Ramasamy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
14
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | TGCD: A Framework for Generalized Category Discovery in Time-Series Data. | Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy |
| 2025 | ACL | CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification. | Romain Meunier, Farah Benamara, Vronique Moriceau, Zhongzheng Qiao, Savitha Ramasamy |
| 2025 | ICCV | PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. | M. Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk |
| 2025 | ICLR | Vision and Language Synergy for Rehearsal Free Continual Learning. | Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah, Ryszard Kowalczyk |
| 2025 | WACV | Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. | Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li |
| 2024 | CIKM | Prompt-Based Spatio-Temporal Graph Transfer Learning. | Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann |
| 2024 | CIKM | PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. | Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk |
| 2024 | EMNLP | Class Name Guided Out-of-Scope Intent Classification. | Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li |
| 2024 | IJCNN | Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. | Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha |
| 2024 | KDD | Class-incremental Learning for Time Series: Benchmark and Evaluation. | Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy |
| 2024 | LAK | Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. | Cheryl Sze Yin Wong, Savitha Ramasamy |
| 2023 | EMNLP | HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. | Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi |
| 2023 | ICASSP | Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. | Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram |
| 2023 | ICASSP | Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. | Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy |
| 2023 | IJCNN | Online Continual Learning for Control of Mobile Robots. | Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan |
| 2022 | EMNLP | Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. | Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy |
| 2022 | ICASSP | Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data. | Yang Guo, Jeanette Wen Jun Poh, Cheryl Sze Yin Wong, Savitha Ramasamy |
| 2022 | ICASSP | Online Continual Learning Using Enhanced Random Vector Functional Link Networks. | Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy |
| 2022 | ICASSP | Incremental Context Aware Attentive Knowledge Tracing. | Cheryl Sze Yin Wong, Guo Yang, Nancy F. Chen, Savitha Ramasamy |
| 2022 | ICASSP | Investigating Robustness of Biological vs. Backprop Based Learning. | Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy |
| 2022 | ICIP | Unsupervised Generative Variational Continual Learning. | Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy |
| 2022 | WACV | Knowledge Capture and Replay for Continual Learning. | Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi |
| 2021 | ICASSP | HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. | Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy |
| 2021 | ICIP | Task-Agnostic Continual Learning Using Base-Child Classifiers. | Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi |
| 2020 | AMIA | A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. | Fatemeh Fahimi, Yang Guo, Shao Chuen Tong, Angela Ng, Hwee Koon, Sharon Ong, Yu Bing, Bryan Choo, Weiling Huang, Sheldon Lee Shao Guang, Savitha Ramasamy, Wai Leng Chow, Hong Choon Oh, Pavitra Krishnaswamy |
| 2019 | NAACL | Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. | Zhengyuan Liu, Jia Hui Hazel Lim, Nur Farah Ain Binte Sahimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee Shao Guang, Michael Ross Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen |
| 2018 | AAAI | A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. | Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, Geraldine Goh, Shao Chuen Tong, Khin Chaw Yu Aung, Gerard Leong Kui Toh, Michael Ross Macdonald, Sheldon Lee Shao Guang, Yan Cao, Suresh Sundaram, Chow Wai Leng |
| 2011 | IJCNN | A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. | Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha |