Rashmi Dutta Baruah

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 38

Top Topics

Dynamically Evolving

Atrial Fibrillation

Negative Matrix Factorization

Top Venues

Publications

Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer. CoRR (2024)
Rashmi Dutta Baruah, Mario Muñoz Organero
Explicit Context Integrated Recurrent Neural Network for applications in smart environments. Expert Syst. Appl. 255 (2024)
Pallabi Saikia, Rashmi Dutta Baruah
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data. Neural Comput. Appl. 36 (14) (2024)
Rashmi Dutta Baruah, Mario Muñoz Organero
A brief Review on the Role of Context in Explainable AI. EAIS (2024)
Rashmi Dutta Baruah, Mario Muñoz Organero
Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications. CoRR (2023)
Rashmi Dutta Baruah, Mario Muñoz Organero
Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction. AALTD@ECML/PKDD (2023)
Deepankar Nankani, Rashmi Dutta Baruah
Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network. IJCNN (2022)
Deepankar Nankani, Rashmi Dutta Baruah
Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation. TENCON (2021)
Miroslava Mikusová, Antonin Fuchs, Adrian Karasinski, Rashmi Dutta Baruah, Rafal Palak, Erik Dawid Burnell, Krzysztof Wolk
Towards Layer-Wise Optimization of Contextual Neural Networks with Constant Field of Aggregation. ACIIDS (2021)
Deepankar Nankani, Shivam Maurya, Rashmi Dutta Baruah
Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices. PReMI (2021)
Deepankar Nankani, Parabattina Bhagath, Rashmi Dutta Baruah, Pradip K. Das
R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators. TENCON (2021)
Deepankar Nankani, Rashmi Dutta Baruah
Incorporating Demographic and Heartbeat Features with Multichannel ECG for Cardiac Abnormality Detection using Parallel CNN and GAP Network. CinC (2021)
Deepankar Nankani, Rashmi Dutta Baruah
Effective Removal of Baseline Wander from ECG Signals: A Comparative Study. MIND (2) (2020)
Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah
Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks. CinC (2020)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network. ACIIDS (2) (2020)
Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri
Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models. Comput. Geosci. 135 (2020)
Sonia, Rashmi Dutta Baruah
Transfer Learning in Smart Home Scenario. IJCNN (2020)
Deepankar Nankani, Rashmi Dutta Baruah
Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation. IJCNN (2020)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. IJCNN (2020)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN. FUZZ-IEEE (2020)
Gaurav Nakum, Prithwijit Guha, Rashmi Dutta Baruah
Visual Object Tracking Using Perceptron Forests and Optical Flow. PReMI (2) (2019)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation. FUZZ-IEEE (2019)
Deepankar Nankani, Rashmi Dutta Baruah
An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning. TENCON (2019)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier. SMC (2019)
Pallabi Saikia, Rashmi Dutta Baruah
Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. SMC (2019)
Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah
Seismic Signal Interpretation for Reservoir Facies Classification. PReMI (2) (2019)
Pallabi Saikia, Rashmi Dutta Baruah
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. SSCI (2018)
Sonia, Prateek Vij, Rashmi Dutta Baruah
An Experience with Multi-sensor Robot for Adaptive Human Sensing. SSCI (2018)
Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. IJCNN (2018)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier. FUZZ-IEEE (2017)
Sonia Sharma, Rashmi Dutta Baruah, Shivashankar B. Nair
A Reward and Penalty Based Approach for Online Feature Selection. CYBCONF (2017)
Rashmi Dutta Baruah, Manish Singh, Diganta Baruah, Iti Saha Misra
Predicting activity occurrence time in smart homes with evolving fuzzy models. FUZZ-IEEE (2017)
Senia, Shivashankar B. Nair, Rashmi Dutta Baruah
An immune-inspired online feature selection mechanism. SMC (2017)
Achyut Mani Tripathi, Rashmi Dutta Baruah
Anomaly detection in data streams based on graph coloring density coefficients. SSCI (2016)
Sonia, Manish Singh, Rashmi Dutta Baruah, Shivashankar B. Nair
A Voting-Based Sensor Fusion Approach for Human Presence Detection. IHCI (2016)
Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah
Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application. SSCI (2015)
Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah
Acoustic sensor based activity recognition using ensemble of one-class classifiers. EAIS (2015)
Sonia, Achyut Mani Tripathi, Rashmi Dutta Baruah, Shivashankar B. Nair
Ultrasonic sensor-based human detector using one-class classifiers. EAIS (2015)
Rashmi Dutta Baruah, Plamen P. Angelov, Diganta Baruah
Dynamically evolving clustering for data streams. EAIS (2014)
Rashmi Dutta Baruah, Plamen P. Angelov, Diganta Baruah
Dynamically evolving fuzzy classifier for real-time classification of data streams. FUZZ-IEEE (2014)
Rashmi Dutta Baruah, Plamen P. Angelov
DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models. IEEE Trans. Cybern. 44 (9) (2014)
Rashmi Dutta Baruah, Plamen P. Angelov
Online learning and prediction of data streams using dynamically evolving fuzzy approach. FUZZ-IEEE (2013)
Rashmi Dutta Baruah, Plamen P. Angelov
Analysis of evolving social network: methods and results from cell phone dataset case study. Int. J. Soc. Netw. Min. 1 (3/4) (2013)
Rashmi Dutta Baruah, Plamen P. Angelov
Evolving social network analysis: A case study on mobile phone data. EAIS (2012)
Rashmi Dutta Baruah, Plamen P. Angelov
Evolving local means method for clustering of streaming data. FUZZ-IEEE (2012)
Javier Andreu, Rashmi Dutta Baruah, Plamen P. Angelov
Automatic scene recognition for low-resource devices using evolving classifiers. FUZZ-IEEE (2011)
Rashmi Dutta Baruah, Plamen P. Angelov
Evolving fuzzy systems for data streams: a survey. WIREs Data Mining Knowl. Discov. 1 (6) (2011)
Rashmi Dutta Baruah, Plamen P. Angelov, Javier Andreu
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. SMC (2011)
Javier Andreu, Rashmi Dutta Baruah, Plamen P. Angelov
Real time recognition of human activities from wearable sensors by evolving classifiers. FUZZ-IEEE (2011)
Rashmi Dutta Baruah, Shivashankar B. Nair
EZeeCom: enabling spontaneous social interactions over mobile ad hoc networks. IWCMC (2007)