| 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 | 124 | 2020 |
| Evolving local means method for clustering of streaming data RD Baruah, P Angelov 2012 IEEE international conference on fuzzy systems, 1-8, 2012 | 74 | 2012 |
| 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 | 72 | 2013 |
| Evolving fuzzy systems for data streams: a survey RD Baruah, P Angelov Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (6 …, 2011 | 37 | 2011 |
| 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 | 36 | 2011 |
| 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 | 26 | 2012 |
| 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 | 24 | 2015 |
| 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 | 22 | 2011 |
| Investigating deep convolution conditional GANs for electrocardiogram generation D Nankani, RD Baruah 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 15 | 2020 |
| 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 | 13 | 2020 |
| 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 | 12 | 2014 |
| 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 | 11 | 2010 |
| 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 | 10 | 2014 |
| 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 | 8 | 2019 |
| 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 | 8 | 2019 |
| 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 | 8 | 2017 |
| 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 | 8 | 2015 |
| 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 | 8 | 2013 |
| 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 | 7 | 2022 |
| Automatic concurrent arrhythmia classification using deep residual neural networks D Nankani, P Saikia, RD Baruah 2020 Computing in Cardiology, 1-4, 2020 | 7 | 2020 |
