Savitha Ramasamy

According to our database, Savitha Ramasamy authored at least 51 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Habibullah Habibullah, Ryszard Kowalczyk

IEEE Trans. Artif. Intell., August, 2024

Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier.

Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan

IEEE Trans. Cybern., January, 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., January, 2024

Training neural networks with classification rules for incorporating domain knowledge.

Wenyu Zhang, Fayao Liu, Cuong Manh Nguyen, Zhong Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo

Knowl. Based Syst., 2024

Prompt-Enhanced Spatio-Temporal Graph Transfer Learning.

Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann

CoRR, 2024

Cross-Domain Continual Learning via CLAMP.

Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy

CoRR, 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, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho

CoRR, 2024

A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation.

Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram

Appl. Soft Comput., 2024

Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing.

Cheryl Sze Yin Wong, Savitha Ramasamy

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the International Joint Conference on Neural Networks, 2024

Class Name Guided Out-of-Scope Intent Classification.

Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning.

Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Prompt-Based Spatio-Temporal Graph Transfer Learning.

Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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, April, 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, Steven C. H. Hoi

CoRR, 2023

Online Continual Learning for Control of Mobile Robots.

Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan

Proceedings of the International Joint Conference on Neural Networks, 2023

Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation.

Qiao ZhongZheng, Minghui Hu, Xudong Jiang, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples.

Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network.

Guo Yang, Cheryl Sze Yin Wong, Savitha Ramasamy

CoRR, 2022

Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data.

Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy

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

Incremental Knowledge Tracing from Multiple Schools.

Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong

CoRR, 2022

Knowledge Capture and Replay for Continual Learning.

Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Unsupervised Generative Variational Continual Learning.

Liu Guimeng, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Investigating Robustness of Biological vs. Backprop Based Learning.

Yanpeng Zhou, Maosen Wang, Manas Gupta, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

Incremental Context Aware Attentive Knowledge Tracing.

Cheryl Sze Yin Wong, Guo Yang, Nancy F. Chen, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

Online Continual Learning Using Enhanced Random Vector Functional Link Networks.

Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data.

Yang Guo, Jeanette Wen Jun Poh, Cheryl Sze Yin Wong, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2022

Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning.

Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem.

Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram

Expert Syst. Appl., 2021

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.

Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo

CoRR, 2021

Task-Agnostic Continual Learning Using Base-Child Classifiers.

Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy, Arulmurugan Ambikapathi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning.

Manas Gupta, Arulmurugan Ambikapathi, Savitha Ramasamy

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation.

Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman

Appl. Soft Comput., 2020

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

Proceedings of the AMIA 2020, 2020

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 novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights.

Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, Narasimhan Sundararajan

CoRR, 2019

Efficient single input-output layer spiking neural classifier with time-varying weight model.

Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram

CoRR, 2019

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

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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

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

Online Deep Learning: Growing RBM on the fly.

Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar

CoRR, 2018

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

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function.

Vasiliy Sachnev, Savitha Ramasamy, Suresh Sundaram, Hyoung Joong Kim, Hee Joon Hwang

Cogn. Comput., 2015

2014

A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System.

Kartick Subramanian, Savitha Ramasamy, Suresh Sundaram

IEEE Trans. Neural Networks Learn. Syst., 2014

A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm.

Kartick Subramanian, Ankit Kumar Das, Suresh Sundaram, Savitha Ramasamy

Evol. Syst., 2014

Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System.

Kartick Subramanian, Radhakrishnan Venkatesh Babu, Savitha Ramasamy

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

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

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014

2011

A Fast Learning Complex-valued Neural Classifier for real-valued classification problems.

Savitha Ramasamy, Suresh Sundaram, Ramaswamy Savitha

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011