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Savitha Ramasamy
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2020 – today
- 2024
- [j10]Abeegithan Jeyasothy
, Savitha Ramasamy, Suresh Sundaram:
A gradient descent algorithm for SNN with time-varying weights for reliable multiclass interpretation. Appl. Soft Comput. 161: 111747 (2024) - [j9]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: 121177 (2024) - [j8]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: 111716 (2024) - [j7]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): 3-12 (2024) - [c20]Cheryl Sze Yin Wong
, Savitha Ramasamy
:
Architectural Adaptation and Regularization of Attention Networks for Incremental Knowledge Tracing. LAK 2024: 757-762 - [i21]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 abs/2401.13968 (2024) - [i20]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 abs/2402.02526 (2024) - [i19]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 abs/2402.12035 (2024) - [i18]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 abs/2405.01054 (2024) - [i17]Weiwei Weng, Mahardhika Pratama, Jie Zhang, Chen Chen, Edward Kien Yee Yapp, Savitha Ramasamy:
Cross-Domain Continual Learning via CLAMP. CoRR abs/2405.07142 (2024) - [i16]Junfeng Hu, Xu Liu, Zhencheng Fan, Yifang Yin, Shili Xiang, Savitha Ramasamy, Roger Zimmermann:
Prompt-Enhanced Spatio-Temporal Graph Transfer Learning. CoRR abs/2405.12452 (2024) - [i15]Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy, Lin Liu, Habibullah Habibullah, Ryszard Kowalczyk:
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning. CoRR abs/2407.20705 (2024) - 2023
- [j6]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: 449-465 (2023) - [c19]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: 5754-5765 - [c18]Chandan Gautam, Aditya Kane, Savitha Ramasamy, Suresh Sundaram:
Unsupervised Out-of-Distribution Detection Using Few in-Distribution Samples. ICASSP 2023: 1-5 - [c17]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: 1-5 - [c16]Andriy Sarabakha, Qiao ZhongZheng, Savitha Ramasamy, Ponnuthurai Nagaratnam Suganthan:
Online Continual Learning for Control of Mobile Robots. IJCNN 2023: 1-10 - [i14]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 abs/2312.07035 (2023) - 2022
- [c15]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: 6127-6140 - [c14]Cheryl Sze Yin Wong, Guo Yang, Arulmurugan Ambikapathi, Savitha Ramasamy
:
Online Continual Learning Using Enhanced Random Vector Functional Link Networks. ICASSP 2022: 1905-1909 - [c13]Yanpeng Zhou, Maosen Wang, Manas Gupta
, Arulmurugan Ambikapathi, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
:
Investigating Robustness of Biological vs. Backprop Based Learning. ICASSP 2022: 3533-3537 - [c12]Cheryl Sze Yin Wong, Guo Yang, Nancy F. Chen
, Savitha Ramasamy
:
Incremental Context Aware Attentive Knowledge Tracing. ICASSP 2022: 3993-3997 - [c11]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: 4493-4497 - [c10]Liu Guimeng
, Guo Yang, Cheryl Sze Yin Wong, Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy
:
Unsupervised Generative Variational Continual Learning. ICIP 2022: 4028-4032 - [c9]Saisubramaniam Gopalakrishnan
, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy
, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. WACV 2022: 337-345 - [i13]Sujanya Suresh, Savitha Ramasamy, Ponnuthurai N. Suganthan, Cheryl Sze Yin Wong:
Incremental Knowledge Tracing from Multiple Schools. CoRR abs/2201.06941 (2022) - [i12]Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
PaRT: Parallel Learning Towards Robust and Transparent AI. CoRR abs/2201.09534 (2022) - [i11]Theivendiram Pranavan, Terence Sim, Arulmurugan Ambikapathi, Savitha Ramasamy:
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data. CoRR abs/2202.03639 (2022) - [i10]Guo Yang, Cheryl Sze Yin Wong, Savitha Ramasamy:
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network. CoRR abs/2202.13369 (2022) - 2021
- [j5]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: 114985 (2021) - [c8]Manas Gupta
, Arulmurugan Ambikapathi, Savitha Ramasamy
:
HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. ICASSP 2021: 3115-3119 - [c7]Pranshu Ranjan Singh, Saisubramaniam Gopalakrishnan
, Qiao ZhongZheng, Ponnuthurai N. Suganthan, Savitha Ramasamy
, Arulmurugan Ambikapathi:
Task-Agnostic Continual Learning Using Base-Child Classifiers. ICIP 2021: 794-798 - [i9]Astha Garg, Wenyu Zhang, Jules Samaran, Savitha Ramasamy, Chuan-Sheng Foo:
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. CoRR abs/2109.11428 (2021) - 2020
- [j4]Savitha Ramasamy
, Arulmurugan Ambikapathi, Kanagasabai Rajaraman
:
Online RBM: Growing Restricted Boltzmann Machine on the fly for unsupervised representation. Appl. Soft Comput. 92: 106278 (2020) - [c6]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:
A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure. AMIA 2020 - [i8]Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Haytham M. Fayek, Savitha Ramasamy, Arulmurugan Ambikapathi:
Knowledge Capture and Replay for Continual Learning. CoRR abs/2012.06789 (2020)
2010 – 2019
- 2019
- [c5]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: 24-31 - [i7]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 abs/1903.03530 (2019) - [i6]Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram:
Efficient single input-output layer spiking neural classifier with time-varying weight model. CoRR abs/1904.10400 (2019) - [i5]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 abs/1904.11367 (2019) - [i4]Yang Guo, Zhengyuan Liu, Pavitra Krishnaswamy, Savitha Ramasamy:
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series. CoRR abs/1911.07572 (2019) - 2018
- [c4]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: 463-464 - [i3]Savitha Ramasamy, Kanagasabai Rajaraman, Pavitra Krishnaswamy, Vijay Chandrasekhar:
Online Deep Learning: Growing RBM on the fly. CoRR abs/1803.02043 (2018) - [i2]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i1]Léo 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 abs/1811.06219 (2018) - 2015
- [j3]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): 103-110 (2015) - 2014
- [j2]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): 219-230 (2014) - [j1]Kartick Subramanian
, Savitha Ramasamy
, Suresh Sundaram:
A Metacognitive Complex-Valued Interval Type-2 Fuzzy Inference System. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1659-1672 (2014) - [c3]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: 1-6 - [c2]Kartick Subramanian
, Radhakrishnan Venkatesh Babu
, Savitha Ramasamy
:
Database independent human emotion recognition with Meta-Cognitive Neuro-Fuzzy Inference System. ISSNIP 2014: 1-6 - 2011
- [c1]Savitha Ramasamy
, Suresh Sundaram, Ramaswamy Savitha:
A Fast Learning Complex-valued Neural Classifier for real-valued classification problems. IJCNN 2011: 2243-2249
Coauthor Index
aka: Ponnuthurai Nagaratnam Suganthan
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last updated on 2024-08-22 20:47 CEST by the dblp team
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