Savitha Ramasamy · Agency for Science, Technology and Research

Is this you? Claim this profile to correct it, add a bio and choose the work people see first.

Claim this profile

Academic lineage

View as a tree

Advisors

Narasimhan Sundararajan
PhD advisor · until 2011 · Nanyang Technological University
From a thesis record ↗

Works105 from public data

TitleCited by

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran, R. Savitha, Chuan-Sheng Foo
IEEE Transactions on Neural Networks and Learning Systems · 2021
364
Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis
Joule · 2019
334
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks
npj Computational Materials · 2019
327
A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm
Studies in computational intelligence · 2012
104
A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm
K. Subramanian, A. Das, S. Sundaram, Savitha Ramasamy
Evolving Systems · 2013
71
Microclimate spatio-temporal prediction using deep learning and land use data
Building and Environment · 2024
48
Transfer Learning-Based Artificial Intelligence-Integrated Physical Modeling to Enable Failure Analysis for 3 Nanometer and Smaller Silicon-Based CMOS Transistors
ACS Applied Nano Materials · 2021
46
Supervised Learning with Complex-valued Neural Networks
Studies in computational intelligence · 2012
42
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation
Applied Soft Computing · 2020
37
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System
IEEE Transactions on Neural Networks and Learning Systems · 2014
34
Graph Convolutional Neural Networks for Polymers Property Prediction
arXiv · 2018
31
Disease prediction in data mining using association rule mining and keyword based clustering algorithms
S. Ramasamy, K. Nirmala
International Journal of Computers and Applications · 2017
30
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2023
29
Predicting amyotrophic lateral sclerosis (ALS) progression with machine learning
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · 2023
28
A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function
Cognitive Computation · 2014
27
CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition
arXiv · 2024
26
Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring
Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao-Chuen Tong, Sharon Ong, A. Ng, Sheldon Lee, M. Macdonald, +4 more
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2019
24
Orthogonal least squares based complex-valued functional link network
Neural Networks · 2012
23
Prompt-Based Spatio-Temporal Graph Transfer Learning
ACM International Conference on Information and Knowledge Management (CIKM) · 2024
22
Class-incremental Learning for Time Series: Benchmark and Evaluation
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2024
22
Knowledge Capture and Replay for Continual Learning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2022
21
Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem
Expert Systems with Applications · 2021
17
Class-Incremental Learning on Multivariate Time Series Via Shape-Aligned Temporal Distillation
IEEE International Conference on Acoustics Speech and Signal Processing · 2023
16
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams
arXiv · 2018
16
Complex-valued functional link network design by orthogonal least squares method for function approximation problems
2022 International Joint Conference on Neural Networks (IJCNN) · 2011
16
GATE: A guided approach for time series ensemble forecasting
Expert Systems with Applications · 2023
15
Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier
IEEE Transactions on Cybernetics · 2022
14
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning
IEEE International Conference on Acoustics Speech and Signal Processing · 2021
14
Wind profile prediction using a Meta-cognitive Fully Complex-valued neural network
International Conference on Advanced Computing · 2012
14
Training neural networks with classification rules for incorporating domain knowledge
Knowledge-Based Systems · 2024
12
Self-supervised ensembled learning for autism spectrum classification
Research in Autism · 2023
12
A study on the transferability of computational models of building electricity load patterns across climatic zones
R. Ward, C. Wong, A. Chong, R. Choudhary, Savitha Ramasamy
Energy and Buildings · 2021
11
Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System
IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) · 2014
11
A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued — Extreme Learning Machine
IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) · 2014
10
Describing and characterising variability in ALS disease progression
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · 2023
9
Incremental Context Aware Attentive Knowledge Tracing
IEEE International Conference on Acoustics Speech and Signal Processing · 2022
9
A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights
arXiv · 2019
8
Sequence Transferability and Task Order Selection in Continual Learning
arXiv · 2025
7
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
IEEE Transactions on Geoscience and Remote Sensing · 2024
7
A neuromuscular clinician’s primer on machine learning
Journal of Neuromuscular Diseases · 2025
6
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
ACM International Conference on Information and Knowledge Management (CIKM) · 2024
6
Online Deep Learning: Growing RBM on the fly
arXiv · 2018
6
Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis
arXiv · 2018
6
Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.
Felipe Oviedo, Ze-Kun Ren, Shijing Sun, C. Settens, Zhe Liu, Noor Titan Putri Hartono, R. Savitha, Brian L. DeCost, +4 more
arXiv · 2018
6
Erratum: Supervised Learning with Complex-valued Neural Networks
Studies in computational intelligence · 2013
6
CrisisTS: Coupling Social Media Textual Data and Meteorological Time Series for Urgency Classification
Romain Meunier, Farah Benamara, V. Moriceau, Zhongzheng Qiao, Savitha Ramasamy
Annual Meeting of the Association for Computational Linguistics (ACL) · 2025
5
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation
Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram
Applied Soft Computing · 2024
5
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks
M. A. Ma'sum, Md. Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha G. Anavatti, Lin Liu, H. Habibullah, Ryszard Kowalczyk
IEEE Transactions on Artificial Intelligence · 2024
5
Class Name Guided Out-of-Scope Intent Classification
Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Kumar Sahu, Xiaoli Li
Findings of the Association for Computational Linguistics: EMNLP 2024 · 2024
5
Cross-domain continual learning via CLAMP
Information Sciences · 2024
5
Bayesian Continual Imputation and Prediction For Irregularly Sampled Time Series Data
IEEE International Conference on Acoustics Speech and Signal Processing · 2022
5
Refinement Matters: Textual Description Needs to be Refined for Zero-shot Learning
Chandan Gautam, Sethupathy Parameswaran, Vinay Verma, Suresh Sundaram, Savitha Ramasamy
Findings of the Association for Computational Linguistics: EMNLP 2022 · 2022
5
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.
PubMed · 2020
5
CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition
arXiv · 2025
4
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 International Joint Conference on Neural Networks (IJCNN) · 2024
4
Improving transparency and representational generalizability through parallel continual learning
Neural Networks · 2023
4
Online Continual Learning Using Enhanced Random Vector Functional Link Networks
IEEE International Conference on Acoustics Speech and Signal Processing · 2022
4
Task-Agnostic Continual Learning Using Base-Child Classifiers
Proceedings - International Conference on Image Processing · 2021
4
Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2025
3
MedGCD: Generalized Category Discovery in Medical Imaging
Lecture notes in computer science · 2025
3
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data
arXiv · 2022
3
Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data
Yang Guo, Zhengyuan Liu, Savitha Ramasamy, Pavitra Krishnaswamy
Studies in computational intelligence · 2020
3
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials
arXiv · 2018
3
A hybrid meta-cognitive restricted boltzmann machine classifier for credit scoring
Savitha Ramasamy, K. Rajaraman
IEEE Region 10 Conference (TENCON) · 2017
3
Performance Study on Real-valued Classification Problems
S. Suresh, N. Sundararajan, R. Savitha
Studies in computational intelligence · 2012
3
Fully Complex-valued Multi Layer Perceptron Networks
Studies in computational intelligence · 2012
3
Circular Complex-valued Extreme Learning Machine Classifier
Studies in computational intelligence · 2012
3
Predictive Analysis of Amyotrophic Lateral Sclerosis Progression and Mortality in a Clinic Cohort From Singapore
Muscle & Nerve · 2025
2
PROL: Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
IEEE/CVF International Conference on Computer Vision (ICCV) · 2025
2
Predicting Amyotrophic Lateral Sclerosis Mortality With Machine Learning in Diverse Patient Databases
Muscle & Nerve · 2025
2
Towards Reliable Prediction: A Bayesian Continual Learning Approach for Clinical Time-Series Data
IEEE Journal of Biomedical and Health Informatics · 2025
2
Decoupled Training for Semi-supervised Medical Image Segmentation with Worst-Case-Aware Learning
Ankit Das, C. Gautam, Hisham Cholakkal, Pritee Agrawal, Feng Yang, R. Savitha, Yong Liu
Lecture notes in computer science · 2024
2
Anomaly Detection and Breakdown Diagnosis for Condition Monitoring of Marine Engines
Nhu Khue Vuong, Sateesh Babu Giduthuri, Gen-Liang Lim, Terrence Tan, Savitha Ramasamy
IEEE Conference on Artificial Intelligence (CAI) · 2024
2
Towards Human Brain Inspired Lifelong Learning
WORLD SCIENTIFIC eBooks · 2023
2
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
arXiv · 2022
2
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series
arXiv · 2019
2
Extreme Learning Machine for Prediction of Wind Force and Moment Coefficients on Marine Vessels
Indian Journal of Science and Technology · 2016
2
Introduction
Studies in computational intelligence · 2012
2
TGCD: A Framework for Generalized Category Discovery in Time-Series Data
Proceedings of the AAAI Conference on Artificial Intelligence · 2026
1
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
neural information processing systems · 2025
1
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
1
Hierarchical Optimization for Operationally-Constrained Resource Planning
IEEE Conference on Artificial Intelligence (CAI) · 2024
1
Online Continual Learning for Control of Mobile Robots
Andriy Sarabakha, Zhongzheng Qiao, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan
2023 International Joint Conference on Neural Networks (IJCNN) · 2023
1
Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples
C. Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram
IEEE International Conference on Acoustics Speech and Signal Processing · 2023
1
Incremental Knowledge Tracing from Multiple Schools
arXiv · 2022
1
Unsupervised Generative Variational Continual Learning
Guimeng Liu, Guo Yang, Cheryl Wong Sze Yin, Ponnuthurai Nagartnam Suganathan, R. Savitha
Proceedings - International Conference on Image Processing · 2022
1
Investigating Robustness of Biological vs. Backprop Based Learning
IEEE International Conference on Acoustics Speech and Signal Processing · 2022
1
Performance Study on Complex-valued Function Approximation Problems
Studies in computational intelligence · 2012
1
Data-efficient fault detection and prognosis for predictive maintenance of building systems using a hybrid Dual-Calibrated Particle Filter
Jintong Han, Savitha Ramasamy, Adrian Chong
Energy and Buildings · 2026
–
BACK MATTER
Xiaoli Li, Savitha Ramasamy, ArulMurugan Ambikapathi, Suresh Sundaram, Haytham M. Fayek
Towards Human Brain Inspired Lifelong Learning · 2024
–
Growing RBM on the Fly for Unsupervised Representation toward Classification and Regression
WORLD SCIENTIFIC eBooks · 2024
–
FRONT MATTER
Xiaoli Li, Savitha Ramasamy, ArulMurugan Ambikapathi, Suresh Sundaram, Haytham M. Fayek
Towards Human Brain Inspired Lifelong Learning · 2024
–
Flashcards for Knowledge Capture and Replay
WORLD SCIENTIFIC eBooks · 2024
–
Task-Agnostic Inference Using Base–Child Classifiers
WORLD SCIENTIFIC eBooks · 2024
–
Predicting Fast Progressors in Amyotrophic Lateral Sclerosis (ALS): A Machine Learning Approach (P1-1.Virtual)
M. A. Jabbar, Guo Yang, Erik Pioro, Savitha Ramasamy, Crystal Jing Jing Yeo
Neurology · 2022
–
PaRT: Parallel Learning Towards Robust and Transparent AI
arXiv · 2022
–
Implications and Predictors of Variability of Disease Progression in Amyotrophic Lateral Sclerosis (ALS) (P1-1.Virtual)
Neurology · 2022
–
Efficient single input-output layer spiking neural classifier with time-varying weight model
arXiv · 2019
–
A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients
Pavitra Krishnaswamy, Savitha Ramasamy, Abdullah Al-Dujaili, Srinath Sridharan, G. Goh, Shao-Chuen Tong, K. C. Y. Aung, Gerard Leong Kui Toh, +5 more
National Conference on Artificial Intelligence · 2018
–
術後生存率予測のための複素数値学習アルゴリズムの研究【Powered by NICT】
IEEE Conference Proceedings · 2016
–
Study of Complex-valued Learning algorithms for Post-surgery survival prediction
International Conference on Cognitive Computing and Information Processing · 2016
–
Meta‐Cognitive Complex‐Valued Relaxation Network and Its Sequential Learning Algorithm
Ramasamy Savitha, Sundaram Suresh, Narasimhan Sundarara
Complex‐Valued Neural Networks · 2013
–
Fully Complex-valued Relaxation Networks
S. Suresh, N. Sundararajan, R. Savitha
Studies in computational intelligence · 2012
–
Complex-valued Self-regulatory Resource Allocation Network (CSRAN)
Studies in computational intelligence · 2012
–
Complex-valued neural networks and their learning algorithms.
DR-NTU (Nanyang Technological University) · 2011
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar; position from the scholar’s ORCID record, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

Report an error

Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it. You will be asked to sign in.