R. Baruah

发表

Reservoir Facies Classification using Convolutional Neural Networks

P. Saikia, Deepankar Nankani, R. Baruah, 2019, 2019 IEEE Recent Advances in Geoscience and Remote Sensing : Technologies, Standards and Applications (TENGARSS).

Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks

P. Saikia, Deepankar Nankani, R. Baruah, 2020, 2020 Computing in Cardiology.

Effective Removal of Baseline Wander from ECG Signals: A Comparative Study

Deepankar Nankani, R. Baruah, 2020, ICML 2020.

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

Rashmi Dutta Baruah, Pallabi Saikia, Sanjay Kumar Singh, 2020, Comput. Geosci..

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

Rashmi Dutta Baruah, Pallabi Saikia, P. Saikia, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Rashmi Dutta Baruah, Pallabi Saikia, Prateek Vij, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network

Deepankar Nankani, R. Baruah, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

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

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2014, IEEE Transactions on Cybernetics.

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

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Rashmi Dutta Baruah, Achyut Mani Tripathi, R. Baruah, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Automatic scene recognition for low-resource devices using evolving classifiers

Plamen P. Angelov, Javier Andreu, Rashmi Dutta Baruah, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Dynamically evolving clustering for data streams

Plamen P. Angelov, Rashmi Dutta Baruah, Diganta Baruah, 2014, 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Evolving local means method for clustering of streaming data

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation

Rashmi Dutta Baruah, Deepankar Nankani, Deepankar Nankani, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Ultrasonic sensor-based human detector using one-class classifiers

Sonia, Rashmi Dutta Baruah, Achyut Mani Tripathi, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

PIPxResNet: Penalty Induced Prototype-Based eXplainable Residual Neural Network for Heartbeat Classification

Rashmi Dutta Baruah, Deepankar Nankani, Deepankar Nankani, 2021 .

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

Rashmi Dutta Baruah, Deepankar Nankani, Deepankar Nankani, 2019, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON).

Modeling Fuzzy Rule-Based Systems

Rashmi Dutta Baruah, Diganta Baruah, R. Baruah, 2016 .

Evolving fuzzy systems for data streams: a survey

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2011, WIREs Data Mining Knowl. Discov..

Clustering as a tool for self-generation of intelligent systems : a survey.

Plamen Angelov, Rashmi Dutta Baruah, P. Angelov, 2010 .

Anomaly detection in data streams based on graph coloring density coefficients

Rashmi Dutta Baruah, Achyut Mani Tripathi, R. Baruah, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Plamen P. Angelov, Rashmi Dutta Baruah, Diganta Baruah, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

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

Plamen P. Angelov, Rashmi Dutta Baruah, P. Angelov, 2013, Int. J. Soc. Netw. Min..

An Experience with Multi-sensor Robot for Adaptive Human Sensing

Sonia, Prateek Vij, Rashmi D. Baruah, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Investigating Stacked Ensemble Model for Oil Reservoir Characterisation

Rashmi Dutta Baruah, Pallabi Saikia, P. Saikia, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

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

Rashmi Dutta Baruah, Achyut Mani Tripathi, R. Baruah, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Transfer Learning in Smart Home Scenario

Rashmi Dutta Baruah, Sonia, Sonia, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Stacked ensemble model for reservoir characterisation to predict log properties from seismic signals

P. Saikia, R. Baruah, 2023, Computational Geosciences.

Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network

Rashmi Dutta Baruah, Achyut Mani Tripathi, R. Baruah, 2020, ACIIDS.

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

Rashmi Dutta Baruah, Achyut Mani Tripathi, R. Baruah, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

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

Rashmi Dutta Baruah, Achyut Mani Tripathi, Diganta Baruah, 2015, 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS).

Evolving Intelligent Systems

Plamen Angelov, Rashmi Dutta Baruah, Diganta Baruah, 2020 .