Savitha Ramasamy

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 47

Top Topics

Neural Classifier

Extreme Learning Machines

Missing Data Imputation

Top Venues

Expert Syst. Appl.

Publications

Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. IEEE Trans. Artif. Intell. 5 (8) (2024)
Md. Rasel Sarkar, Sreenatha G. Anavatti, Tanmoy Dam, Md Meftahul Ferdaus, Murat Tahtali, Savitha Ramasamy, Mahardhika Pratama
GATE: A guided approach for time series ensemble forecasting. Expert Syst. Appl. 235 (2024)
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
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR (2024)
Cheryl Sze Yin Wong, Savitha Ramasamy
Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. LAK (2024)
Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR (2024)
Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD (2024)
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. Appl. Soft Comput. 161 (2024)
Wenyu Zhang, Fayao Liu, Cuong Manh Nguyen, Zhong Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo
Training neural networks with classification rules for incorporating domain knowledge. Knowl. Based Syst. 294 (2024)
Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann
Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. CoRR (2024)
Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy
Cross-Domain Continual Learning via CLAMP. CoRR (2024)
Muhammad Anwar Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. CoRR (2024)
Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy
Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR (2024)
Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier. IEEE Trans. Cybern. 54 (1) (2024)
Zhongzheng Qiao, Xuan Huy Pham, Savitha Ramasamy, Xudong Jiang, Erdal Kayacan, Andriy Sarabakha
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing. CoRR (2024)
Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram
Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP (2023)
Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR (2023)
Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan
Online Continual Learning for Control of Mobile Robots. IJCNN (2023)
Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation. ICASSP (2023)
Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP (2023)
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
Improving transparency and representational generalizability through parallel continual learning. Neural Networks 161 (2023)
Cheryl Sze Yin Wong, Guo Yang, Nancy F. Chen, Savitha Ramasamy
Incremental Context Aware Attentive Knowledge Tracing. ICASSP (2022)
Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. CoRR (2022)
Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy
Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning. EMNLP (Findings) (2022)
Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong
Incremental Knowledge Tracing from Multiple Schools. CoRR (2022)
Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee
PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR (2022)
Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP (2022)
Yang Guo, Jeanette Wen Jun Poh, Cheryl Sze Yin Wong, Savitha Ramasamy
Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data. ICASSP (2022)
Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy
Online Continual Learning Using Enhanced Random Vector Functional Link Networks. ICASSP (2022)
Guo Yang, Cheryl Sze Yin Wong, Savitha Ramasamy
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network. CoRR (2022)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
Knowledge Capture and Replay for Continual Learning. WACV (2022)
Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
Unsupervised Generative Variational Continual Learning. ICIP (2022)
Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. ICASSP (2021)
Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. CoRR (2021)
Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP (2021)
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem. Expert Syst. Appl. 178 (2021)
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, Oh Hong Choon, Pavitra Krishnaswamy
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. AMIA (2020)
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi
Knowledge Capture and Replay for Continual Learning. CoRR (2020)
Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. Appl. Soft Comput. 92 (2020)
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
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. CoRR (2019)
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
Efficient single input-output layer spiking neural classifier with time-varying weight model. CoRR (2019)
Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights. CoRR (2019)
Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR (2019)
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
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring. NAACL-HLT (2) (2019)
Leo Laugier, Daniil Bash, Jose Recatala, Hong Kuan Ng, Savitha Ramasamy, Chuan-Sheng Foo, Vijay Ramaseshan Chandrasekhar, Kedar Hippalgaonkar
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials. CoRR (2018)
Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR (2018)
Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar
Online Deep Learning: Growing RBM on the fly. CoRR (2018)
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
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients. AAAI Workshops (2018)
Vasiliy Sachnev, Savitha Ramasamy, Suresh Sundaram, Hyoung Joong Kim, Hee Joon Hwang
A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function. Cogn. Comput. 7 (1) (2015)
Malar Elangeeran, Savitha Ramasamy, Kandaswamy Arumugam
A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued - Extreme Learning Machine. ISSNIP (2014)
Kartick Subramanian, Ankit Kumar Das, Suresh Sundaram, Savitha Ramasamy
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm. Evol. Syst. 5 (4) (2014)
Kartick Subramanian, Radhakrishnan Venkatesh Babu, Savitha Ramasamy
Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. ISSNIP (2014)
Kartick Subramanian, Savitha Ramasamy, Suresh Sundaram
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha
A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. IJCNN (2011)