# Rashmi Dutta Baruah

According to our database

Collaborative distances:

^{1}, Rashmi Dutta Baruah authored at least 43 papers between 2007 and 2023.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2023

Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications.

CoRR, 2023

2022

Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network.

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators.

Proceedings of the IEEE Region 10 Conference, 2021

Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation.

Proceedings of the IEEE Region 10 Conference, 2021

Incorporating Demographic and Heartbeat Features with Multichannel ECG for Cardiac Abnormality Detection using Parallel CNN and GAP Network.

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Towards Layer-Wise Optimization of Contextual Neural Networks with Constant Field of Aggregation.

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020

Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models.

Comput. Geosci., 2020

Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network.

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN.

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks.

Proceedings of the Computing in Cardiology, 2020

Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019

An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning.

Proceedings of the TENCON 2019, 2019

Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier.

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation.

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems.

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Unsupervised Pre-training on Improving the Performance of Neural Network in Regression.

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier.

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Proceedings of the Intelligent Human Computer Interaction - 8th International Conference, 2016

2015

Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application.

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Acoustic sensor based activity recognition using ensemble of one-class classifiers.

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014

DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models.

IEEE Trans. Cybern., 2014

Dynamically evolving fuzzy classifier for real-time classification of data streams.

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013

Analysis of evolving social network: methods and results from cell phone dataset case study.

Int. J. Soc. Netw. Min., 2013

Online learning and prediction of data streams using dynamically evolving fuzzy approach.

Proceedings of the FUZZ-IEEE 2013, 2013

2012

Proceedings of the FUZZ-IEEE 2012, 2012

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011

WIREs Data Mining Knowl. Discov., 2011

Proceedings of the IEEE International Conference on Systems, 2011

Real time recognition of human activities from wearable sensors by evolving classifiers.

Proceedings of the FUZZ-IEEE 2011, 2011

Proceedings of the FUZZ-IEEE 2011, 2011

2007

Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2007