Rashmi Dutta Baruah
Orcid: 0000-0002-6756-8157
According to our database1,
Rashmi Dutta Baruah
authored at least 52 papers
between 2007 and 2024.
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Bibliography
2024
DatUS: Data-Driven Unsupervised Semantic Segmentation With Pretrained Self-Supervised Vision Transformer.
IEEE Trans. Cogn. Dev. Syst., October, 2024
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data.
Neural Comput. Appl., May, 2024
Explicit Context Integrated Recurrent Neural Network for applications in smart environments.
Expert Syst. Appl., 2024
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer.
CoRR, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024
2023
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
Proceedings of the Pattern Recognition and Machine Intelligence, 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
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 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
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
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
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
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