Savitha Ramasamy

66 papers A* 4A 5B 5Misc 8Journal 36Unranked 8

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	J	`jnl`	CompeteSMoE - Statistically Guaranteed Mixture of Experts Training via Competition. CoRR Nam V. Nguyen, Huy Nguyen, Quang Pham, Van Nguyen, Savitha Ramasamy, Nhat Ho
2025	—	`conf`	CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification. ACL (1) Romain Meunier, Farah Benamara, Véronique Moriceau, Zhongzheng Qiao, 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	J	`jnl`	Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. CoRR Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2025	J	`jnl`	PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. CoRR M. Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2025	J	`jnl`	Sequence Transferability and Task Order Selection in Continual Learning. CoRR Thinh Nguyen, Cuong N. Nguyen, Quang Pham, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Cuong V. Nguyen
2025	A*	`conf`	Vision and Language Synergy for Rehearsal Free Continual Learning. ICLR Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. Appl. Soft Comput. Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
2024	—	`conf`	Anomaly Detection and Breakdown Diagnosis for Condition Monitoring of Marine Engines. CAI Nhu Khue Vuong, Sateesh Babu Giduthuri, Gen Liang Lim, Terrence Tan, Savitha Ramasamy
2024	A	`conf`	Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. LAK Cheryl Sze Yin Wong, Savitha Ramasamy
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	A*	`conf`	Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2024	J	`jnl`	Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
2024	J	`jnl`	CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho
2024	B	`conf`	Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. IJCNN Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha
2024	J	`jnl`	Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. CoRR Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha
2024	J	`jnl`	Cross-Domain Continual Learning via CLAMP. CoRR Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy
2024	J	`jnl`	Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. IEEE Trans. Cybern. Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan
2024	J	`jnl`	Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. CoRR Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama
2024	A	`conf`	PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CIKM Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	J	`jnl`	PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
2024	A	`conf`	Prompt-Based Spatio-Temporal Graph Transfer Learning. CIKM Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
2024	J	`jnl`	Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. CoRR Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
2024	J	`jnl`	Training neural networks with classification rules for incorporating domain knowledge. Knowl. Based Syst. Wenyu Zhang, Fayao Liu, Cuong Manh Nguyen, Zhong Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo
2023	Misc	`conf`	Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. ICASSP Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
2023	A*	`conf`	HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023	J	`jnl`	HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
2023	J	`jnl`	Improving transparency and representational generalizability through parallel continual learning. Neural Networks Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
2023	B	`conf`	Online Continual Learning for Control of Mobile Robots. IJCNN Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan
2023	Misc	`conf`	Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram
2022	Misc	`conf`	Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data. ICASSP Yang Guo, Jeanette Wen Jun Poh, Cheryl Sze Yin Wong, Savitha Ramasamy
2022	J	`jnl`	Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. CoRR Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy
2022	Misc	`conf`	Incremental Context Aware Attentive Knowledge Tracing. ICASSP Cheryl Sze Yin Wong, Guo Yang, Nancy F. Chen, Savitha Ramasamy
2022	J	`jnl`	Incremental Knowledge Tracing from Multiple Schools. CoRR Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong
2022	Misc	`conf`	Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
2022	A	`conf`	Knowledge Capture and Replay for Continual Learning. WACV Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2022	Misc	`conf`	Online Continual Learning Using Enhanced Random Vector Functional Link Networks. ICASSP Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy
2022	J	`jnl`	PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
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`	Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network. CoRR Guo Yang, Cheryl Sze Yin Wong, Savitha Ramasamy
2022	B	`conf`	Unsupervised Generative Variational Continual Learning. ICIP Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
2021	J	`jnl`	An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. CoRR Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo
2021	Misc	`conf`	HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. ICASSP Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy
2021	J	`jnl`	Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. Expert Syst. Appl. Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
2021	B	`conf`	Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
2020	Misc	`conf`	A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. AMIA 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
2020	J	`jnl`	Knowledge Capture and Replay for Continual Learning. CoRR Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
2020	J	`jnl`	Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. Appl. Soft Comput. Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman
2019	J	`jnl`	A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. CoRR Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan
2019	J	`jnl`	Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy
2019	J	`jnl`	Efficient single input-output layer spiking neural classifier with time-varying weight model. CoRR Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
2019	—	`conf`	Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. NAACL-HLT (2) 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
2019	J	`jnl`	Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. CoRR 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	—	`conf`	A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops 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
2018	J	`jnl`	Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer
2018	J	`jnl`	Online Deep Learning: Growing RBM on the fly. CoRR Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar
2018	J	`jnl`	Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR Léo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
2015	J	`jnl`	A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function. Cogn. Comput. Vasiliy Sachnev, Savitha Ramasamy, Suresh Sundaram, Hyoung Joong Kim, Hee Joon Hwang
2014	J	`jnl`	A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. IEEE Trans. Neural Networks Learn. Syst. Kartick Subramanian, Savitha Ramasamy, Suresh Sundaram
2014	J	`jnl`	A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm. Evol. Syst. Kartick Subramanian, Ankit Kumar Das, Suresh Sundaram, Savitha Ramasamy
2014	—	`conf`	A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued - Extreme Learning Machine. ISSNIP Malar Elangeeran, Savitha Ramasamy, Kandaswamy Arumugam
2014	—	`conf`	Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. ISSNIP Kartick Subramanian, Radhakrishnan Venkatesh Babu, Savitha Ramasamy
2011	B	`conf`	A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. IJCNN Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha