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Rashmi Dutta Baruah
Rashmi Dutta Baruah
Assistant Professor, Department of Computer Science & Engineering, IIT Guwahati
Verified email at iitg.ernet.in
Title
Cited by
Cited by
Year
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
P Saikia, RD Baruah, SK Singh, PK Chaudhuri
Computers & Geosciences 135, 104357, 2020
1222020
Evolving local means method for clustering of streaming data
RD Baruah, P Angelov
2012 IEEE international conference on fuzzy systems, 1-8, 2012
742012
DEC: Dynamically evolving clustering and its application to structure identification of evolving fuzzy models
RD Baruah, P Angelov
IEEE transactions on cybernetics 44 (9), 1619-1631, 2013
722013
Evolving fuzzy systems for data streams: a survey
RD Baruah, P Angelov
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (6 …, 2011
372011
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers
RD Baruah, P Angelov, J Andreu
2011 IEEE International Conference on Systems, Man, and Cybernetics, 2249-2254, 2011
352011
Evolving social network analysis: A case study on mobile phone data
RD Baruah, P Angelov
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 114-120, 2012
262012
Ultrasonic sensor-based human detector using one-class classifiers
S Sonia, AM Tripathi, RD Baruah, SB Nair
2015 IEEE International Conference on Evolving and Adaptive Intelligent …, 2015
232015
Real time recognition of human activities from wearable sensors by evolving classifiers
J Andreu, RD Baruah, P Angelov
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2786-2793, 2011
222011
Investigating deep convolution conditional GANs for electrocardiogram generation
D Nankani, RD Baruah
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
152020
Multivariate time series classification with an attention-based multivariate convolutional neural network
AM Tripathi, RD Baruah
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
132020
Dynamically evolving clustering for data streams
RD Baruah, P Angelov, D Baruah
2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 1-6, 2014
122014
Clustering as a tool for self-generation of intelligent systems: a survey
RD Baruah, P Angelov
Proceedings of the international symposium on evolving intelligent systems …, 2010
112010
Dynamically evolving fuzzy classifier for real-time classification of data streams
RD Baruah, P Angelov, D Baruah
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 383-389, 2014
102014
An end-to-end framework for automatic detection of atrial fibrillation using deep residual learning
D Nankani, RD Baruah
TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 690-695, 2019
82019
Investigating stacked ensemble model for oil reservoir characterisation
P Saikia, RD Baruah
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 13-20, 2019
82019
Anomaly detection in multivariate time series using fuzzy adaboost and dynamic naive bayesian classifier
AM Tripathi, RD Baruah
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
82019
A voting-based sensor fusion approach for human presence detection
Sonia, M Singh, RD Baruah, SB Nair
Intelligent Human Computer Interaction: 8th International Conference, IHCI …, 2017
82017
Acoustic sensor based activity recognition using ensemble of one-class classifiers
AM Tripathi, D Baruah, RD Baruah
2015 IEEE international conference on evolving and adaptive intelligent …, 2015
82015
Online learning and prediction of data streams using dynamically evolving fuzzy approach
RD Baruah, P Angelov
2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013
82013
Atrial fibrillation classification and prediction explanation using transformer neural network
D Nankani, RD Baruah
2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022
72022
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