Savitha Ramasamy

发表

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

Narasimhan Sundararajan, Abeegithan Jeyasothy, Suresh Sundaram, 2019, ArXiv.

Extreme Learning Machine for Prediction of Wind Force and Moment Coefficients on Marine Vessels

Abdullah Al Mamun, Savitha Ramasamy, Krishna Kumar Nagalingam, 2016 .

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

Sundaram Suresh, Savitha Ramasamy, Kartick Subramanian, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data

Savitha Ramasamy, Pavitra Krishnaswamy, Zhengyuan Liu, 2020 .

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Savitha Ramasamy, Giuseppe Romano, Tonio Buonassisi, 2018, npj Computational Materials.

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

Hyoung Joong Kim, Sundaram Suresh, Savitha Ramasamy, 2014, Cognitive Computation.

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

Abeegithan Jeyasothy, Suresh Sundaram, Savitha Ramasamy, 2019, ArXiv.

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

R. Venkatesh Babu, Savitha Ramasamy, Kartick Subramanian, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

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

Sundaram Suresh, Savitha Ramasamy, Ankit Kumar Das, 2014, Evol. Syst..

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

Savitha Ramasamy, Arulmurugan Ambikapathi, Kanagasabai Rajaraman, 2020, Appl. Soft Comput..

Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series pdf

Yang Guo, Savitha Ramasamy, Pavitra Krishnaswamy, 2019, ArXiv.

Online Deep Learning: Growing RBM on the fly pdf

Kanagasabai Rajaraman, Savitha Ramasamy, Pavitra Krishnaswamy, 2018, ArXiv.

Study of Complex-valued Learning algorithms for Post-surgery survival prediction

Savitha Ramasamy, Sivachitra Muthusamy, 2016, 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP).

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

Sundaram Suresh, Savitha Ramasamy, Ramaswamy Savitha, 2011, The 2011 International Joint Conference on Neural Networks.

A Predictive Analytics Methodology to Assess and Optimize Readmission Risk in Heart Failure Patients

Abdullah Al-Dujaili, Suresh Sundaram, Savitha Ramasamy, 2018, AAAI Workshops.

A hybrid meta-cognitive restricted boltzmann machine classifier for credit scoring

Kanagasabai Rajaraman, Savitha Ramasamy, Savitha Ramasamy, 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.

Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams pdf

Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong, 2018, ArXiv.

Knowledge Capture and Replay for Continual Learning pdf

Savitha Ramasamy, Haytham M. Fayek, Saisubramaniam Gopalakrishnan, 2020, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

A novel method for benign and malignant characterization of mammographic microcalcifications employing waveatom features and circular complex valued — Extreme Learning Machine

Savitha Ramasamy, Malar Elangeeran, Kandaswamy Arumugam, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring pdf

Savitha Ramasamy, Pavitra Krishnaswamy, Nancy F. Chen, 2019, NAACL.

Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials pdf

Chuan-Sheng Foo, Savitha Ramasamy, Vijay Ramaseshan Chandrasekhar, 2018, ArXiv.

Incremental Knowledge Tracing from Multiple Schools

P. N. Suganthan, Savitha Ramasamy, Cheryl Sze Yin Wong, 2022 .

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

Abeegithan Jeyasothy, Savitha Ramasamy, Suresh Sundaram, 2021, Expert Syst. Appl..

PaRT: Parallel Learning Towards Robust and Transparent AI

Savitha Ramasamy, Sujanya Suresh, Mahsa Paknezhad, 2022 .

Transfer Learning-Based Artificial Intelligence-Integrated Physical Modeling to Enable Failure Analysis for 3 Nanometer and Smaller Silicon-Based CMOS Transistors

Chen-Khong Tham, Joydeep Ghosh, Savitha Ramasamy, 2021, ACS Applied Nano Materials.

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

Savitha Ramasamy, Manas Gupta, Arulmurugan Ambikapathi, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Task-Agnostic Continual Learning Using Base-Child Classifiers

Ponnuthurai Nagaratnam Suganthan, Savitha Ramasamy, Saisubramaniam Gopalakrishnan, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

A study on the transferability of computational models of building electricity load patterns across climatic zones

Savitha Ramasamy, Cheryl Sze Yin Wong, Adrian Chong, 2021 .