A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. - Savitha Ramasamy; Suresh Sundaram 002; Ramaswamy Savitha (IJCNN, 2011)

A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued - Extreme Learning Machine. - Malar Elangeeran; Savitha Ramasamy; Kandaswamy Arumugam (ISSNIP, 2014)

Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. - Kartick Subramanian; Radhakrishnan Venkatesh Babu; Savitha Ramasamy (ISSNIP, 2014)

A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm. - Kartick Subramanian; Ankit Kumar Das; Suresh Sundaram 002; Savitha Ramasamy (Evol. Syst., 2014)

A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. - Kartick Subramanian; Savitha Ramasamy; Suresh Sundaram 002 (IEEE Trans. Neural Networks Learn. Syst., 2014)

A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function. - Vasiliy Sachnev; Savitha Ramasamy; Suresh Sundaram 002; Hyoung Joong Kim; Hee Joon Hwang (Cogn. Comput., 2015)

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 002; et al. (AAAI Workshops, 2018)

Online Deep Learning: Growing RBM on the fly. - Savitha Ramasamy; Kanagasabai Rajaraman; Pavitra Krishnaswamy; Vijay Chandrasekhar 001 (CoRR, 2018)

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. - Mahardhika Pratama; Andri Ashfahani; Yew-Soon Ong; Savitha Ramasamy; Edwin Lughofer (CoRR, 2018)

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. - Léo Laugier; Daniil Bash; Jose Recatala; Hong Kuan Ng; Savitha Ramasamy; Chuan-Sheng Foo; Vijay Ramaseshan Chandrasekhar; Kedar Hippalgaonkar (CoRR, 2018)

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 (NAACL-HLT (2), 2019)

Efficient single input-output layer spiking neural classifier with time-varying weight model. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (CoRR, 2019)

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (CoRR, 2019)

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. - Yang Guo; Zhengyuan Liu; Pavitra Krishnaswamy; Savitha Ramasamy (CoRR, 2019)

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; et al. (AMIA, 2020)

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. - Savitha Ramasamy; Arulmurugan Ambikapathi; Kanagasabai Rajaraman (Appl. Soft Comput., 2020)

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. - Manas Gupta; Arulmurugan Ambikapathi; Savitha Ramasamy (ICASSP, 2021)

Task-Agnostic Continual Learning Using Base-Child Classifiers. - Pranshu Ranjan Singh; Saisubramaniam Gopalakrishnan; Qiao ZhongZheng; Ponnuthurai N. Suganthan; Savitha Ramasamy; Arulmurugan Ambikapathi (ICIP, 2021)

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. - Astha Garg; Wenyu Zhang 003; Jules Samaran; Savitha Ramasamy; Chuan-Sheng Foo (CoRR, 2021)

Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (Expert Syst. Appl., 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)

Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data. - Yang Guo; Jeanette Wen Jun Poh; Cheryl Sze Yin Wong; Savitha Ramasamy (ICASSP, 2022)

Online Continual Learning Using Enhanced Random Vector Functional Link Networks. - Cheryl Sze Yin Wong; Guo Yang; Arulmurugan Ambikapathi; Savitha Ramasamy (ICASSP, 2022)

Incremental Context Aware Attentive Knowledge Tracing. - Cheryl Sze Yin Wong; Guo Yang; Nancy F. Chen; Savitha Ramasamy (ICASSP, 2022)

Investigating Robustness of Biological vs. Backprop Based Learning. - Yanpeng Zhou; Maosen Wang; Manas Gupta; Arulmurugan Ambikapathi; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2022)

Unsupervised Generative Variational Continual Learning. - Liu Guimeng; Guo Yang; Cheryl Sze Yin Wong; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICIP, 2022)

Knowledge Capture and Replay for Continual Learning. - Saisubramaniam Gopalakrishnan; Pranshu Ranjan Singh; Haytham M. Fayek; Savitha Ramasamy; Arulmurugan Ambikapathi (WACV, 2022)

Incremental Knowledge Tracing from Multiple Schools. - Sujanya Suresh; Savitha Ramasamy; Ponnuthurai N. Suganthan; Cheryl Sze Yin Wong (CoRR, 2022)

PaRT: Parallel Learning Towards Robust and Transparent AI. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (CoRR, 2022)

Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. - Theivendiram Pranavan; Terence Sim; Arulmurugan Ambikapathi; Savitha Ramasamy (CoRR, 2022)

Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network. - Guo Yang; Cheryl Sze Yin Wong; Savitha Ramasamy (CoRR, 2022)

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 001; Steven C. H. Hoi (EMNLP, 2023)

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

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. - Qiao ZhongZheng; Minghui Hu 001; Xudong Jiang 001; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2023)

Online Continual Learning for Control of Mobile Robots. - Andriy Sarabakha; Qiao ZhongZheng; Savitha Ramasamy; Ponnuthurai Nagaratnam Suganthan (IJCNN, 2023)

HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. - Giang Do; Khiem Le; Quang Pham; TrungTin Nguyen; Thanh-Nam Doan; Bint T. Nguyen; Chenghao Liu; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi (CoRR, 2023)

Improving transparency and representational generalizability through parallel continual learning. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (Neural Networks, 2023)

Prompt-Based Spatio-Temporal Graph Transfer Learning. - Junfeng Hu 001; Xu Liu 014; Zhencheng Fan; Yifang Yin; Shili Xiang; Savitha Ramasamy; Roger Zimmermann (CIKM, 2024)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (CIKM, 2024)

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)

Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. - Zhongzheng Qiao; Xuan Huy Pham; Savitha Ramasamy; Xudong Jiang 001; Erdal Kayacan; Andriy Sarabakha (IJCNN, 2024)

Class-incremental Learning for Time Series: Benchmark and Evaluation. - Zhongzheng Qiao; Quang Pham; Zhen Cao; Hoang H. Le; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (KDD, 2024)

Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. - Cheryl Sze Yin Wong; Savitha Ramasamy (LAK, 2024)

A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. - Abeegithan Jeyasothy; Savitha Ramasamy; Suresh Sundaram 002 (Appl. Soft Comput., 2024)

CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. - Quang Pham; Giang Do; Huy Nguyen; TrungTin Nguyen; Chenghao Liu; Mina Sartipi; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Steven C. H. Hoi; Nhat Ho (CoRR, 2024)

Cross-Domain Continual Learning via CLAMP. - Weiwei Weng; Mahardhika Pratama; Jie Zhang 002; Chen Chen; Edward Kien Yee Yapp; Savitha Ramasamy (CoRR, 2024)

Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. - Junfeng Hu 001; Xu Liu 014; Zhencheng Fan; Yifang Yin; Shili Xiang; Savitha Ramasamy; Roger Zimmermann (CoRR, 2024)

Training neural networks with classification rules for incorporating domain knowledge. - Wenyu Zhang 003; Fayao Liu; Cuong Manh Nguyen; Zhong Liang Ou Yang; Savitha Ramasamy; Chuan-Sheng Foo (Knowl. Based Syst., 2024)

GATE: A guided approach for time series ensemble forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Md Meftahul Ferdaus; Murat Tahtali; Savitha Ramasamy; Mahardhika Pratama (Expert Syst. Appl., 2024)

Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. - Abeegithan Jeyasothy; Suresh Sundaram 002; Savitha Ramasamy; Narasimhan Sundararajan (IEEE Trans. Cybern., 2024)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. - Muhammad Anwar Ma'sum; Md. Rasel Sarkar; Mahardhika Pratama; Savitha Ramasamy; Sreenatha G. Anavatti; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (IEEE Trans. Artif. Intell., 2024)

CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification. - Romain Meunier; Farah Benamara; Véronique Moriceau; Zhongzheng Qiao; Savitha Ramasamy (ACL (1), 2025)

Vision and Language Synergy for Rehearsal Free Continual Learning. - Muhammad Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah; Ryszard Kowalczyk (ICLR, 2025)

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)

Sequence Transferability and Task Order Selection in Continual Learning. - Thinh Nguyen; Cuong N. Nguyen; Quang Pham; Binh T. Nguyen 001; Savitha Ramasamy; Xiaoli Li 001; Cuong V. Nguyen (CoRR, 2025)

CompeteSMoE - Statistically Guaranteed Mixture of Experts Training via Competition. - Nam V. Nguyen; Huy Nguyen; Quang Pham; Van Nguyen; Savitha Ramasamy; Nhat Ho (CoRR, 2025)

Multi-Scale Finetuning for Encoder-based Time Series Foundation Models. - Zhongzheng Qiao; Chenghao Liu; Yiming Zhang; Ming Jin 005; Quang Pham; Qingsong Wen; Ponnuthurai N. Suganthan; Xudong Jiang 001; Savitha Ramasamy (CoRR, 2025)

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning. - M. Anwar Ma'sum; Mahardhika Pratama; Savitha Ramasamy; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (CoRR, 2025)