Rashmi Dutta Baruah

Orcid: 0000-0002-6756-8157

According to our database1, Rashmi Dutta Baruah authored at least 45 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer.
CoRR, 2024

2023
Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications.
CoRR, 2023

Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 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

Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Transfer Learning in Smart Home Scenario.
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

Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network.
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

Investigating Stacked Ensemble Model for Oil Reservoir Characterisation.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Seismic Signal Interpretation for Reservoir Facies Classification.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Visual Object Tracking Using Perceptron Forests and Optical Flow.
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

An Experience with Multi-sensor Robot for Adaptive Human Sensing.
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
An immune-inspired online feature selection mechanism.
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

Predicting activity occurrence time in smart homes with evolving fuzzy models.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A Reward and Penalty Based Approach for Online Feature Selection.
Proceedings of the 3rd IEEE International Conference on Cybernetics, 2017

2016
Anomaly detection in data streams based on graph coloring density coefficients.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Voting-Based Sensor Fusion Approach for Human Presence Detection.
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

Ultrasonic sensor-based human detector using one-class classifiers.
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

Dynamically evolving clustering for data streams.
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
Evolving local means method for clustering of streaming data.
Proceedings of the FUZZ-IEEE 2012, 2012

Evolving social network analysis: A case study on mobile phone data.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
Evolving fuzzy systems for data streams: a survey.
WIREs Data Mining Knowl. Discov., 2011

Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers.
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

Automatic scene recognition for low-resource devices using evolving classifiers.
Proceedings of the FUZZ-IEEE 2011, 2011

2007
EZeeCom: enabling spontaneous social interactions over mobile ad hoc networks.
Proceedings of the International Conference on Wireless Communications and Mobile Computing, 2007


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