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ORCIDRashmi Dutta Baruah
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2020 – today
- 2024
[j7]Rashmi Dutta Baruah
, Mario Muñoz Organero:
Explicit Context Integrated Recurrent Neural Network for applications in smart environments. Expert Syst. Appl. 255: 124752 (2024)- [j6]Pallabi Saikia, Rashmi Dutta Baruah:
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data. Neural Comput. Appl. 36(14): 7799-7816 (2024) - [j5]Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah:
DatUS: Data-Driven Unsupervised Semantic Segmentation With Pretrained Self-Supervised Vision Transformer. IEEE Trans. Cogn. Dev. Syst. 16(5): 1775-1788 (2024) - [c43]Rashmi Dutta Baruah, Mario Muñoz Organero:
A brief Review on the Role of Context in Explainable AI. EAIS 2024: 1-6 - [c42]Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah:
GraPix: Exploring Graph Modularity Optimization for Unsupervised Pixel Clustering. ICPR (10) 2024: 193-209 - [e1]José Antonio Iglesias Martínez, Rashmi Dutta Baruah, Dimitry Kangin, Paulo Vitor de Campos Souza:
IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024. IEEE 2024, ISBN 979-8-3503-6623-5 [contents] - [i2]Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah:
DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer. CoRR abs/2401.12820 (2024) - 2023
- [c41]Rashmi Dutta Baruah, Mario Muñoz Organero:
Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction. AALTD@ECML/PKDD 2023: 243-259 - [i1]Rashmi Dutta Baruah, Mario Muñoz Organero:
Explicit Context Integrated Recurrent Neural Network for Sensor Data Applications. CoRR abs/2301.05031 (2023) - 2022
- [c40]Deepankar Nankani, Rashmi Dutta Baruah:
Atrial Fibrillation Classification and Prediction Explanation using Transformer Neural Network. IJCNN 2022: 1-8 - 2021
- [c39]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: 743-753 - [c38]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: 1-4 - [c37]Deepankar Nankani, Shivam Maurya, Rashmi Dutta Baruah:
Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices. PReMI 2021: 242-250 - [c36]Deepankar Nankani, Parabattina Bhagath, Rashmi Dutta Baruah, Pradip K. Das:
R-Peak Detection from ECG Signals Using Fractal Based Mathematical Morphological Operators. TENCON 2021: 225-230 - [c35]Deepankar Nankani, Rashmi Dutta Baruah:
Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation. TENCON 2021: 574-579 - 2020
- [j4]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: 104357 (2020) - [c34]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Contextual Anomaly Detection in Time Series Using Dynamic Bayesian Network. ACIIDS (2) 2020: 333-342 - [c33]Deepankar Nankani, Pallabi Saikia, Rashmi Dutta Baruah:
Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks. CinC 2020: 1-4 - [c32]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Acoustic Event Detection Using Fuzzy Integral Ensemble and Oriented Fuzzy Local Binary Pattern Encoded CNN. FUZZ-IEEE 2020: 1-8 - [c31]Sonia, Rashmi Dutta Baruah:
Transfer Learning in Smart Home Scenario. IJCNN 2020: 1-8 - [c30]Deepankar Nankani, Rashmi Dutta Baruah:
Investigating Deep Convolution Conditional GANs for Electrocardiogram Generation. IJCNN 2020: 1-8 - [c29]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Multivariate Time Series Classification With An Attention-Based Multivariate Convolutional Neural Network. IJCNN 2020: 1-8 - [c28]Deepankar Nankani, Rashmi Dutta Baruah:
Effective Removal of Baseline Wander from ECG Signals: A Comparative Study. MIND (2) 2020: 310-324
2010 – 2019
- 2019
- [c27]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation. FUZZ-IEEE 2019: 1-6 - [c26]Pallabi Saikia, Deepankar Nankani, Rashmi Dutta Baruah:
Seismic Signal Interpretation for Reservoir Facies Classification. PReMI (2) 2019: 409-417 - [c25]Gaurav Nakum, Prithwijit Guha, Rashmi Dutta Baruah:
Visual Object Tracking Using Perceptron Forests and Optical Flow. PReMI (2) 2019: 525-532 - [c24]Pallabi Saikia, Rashmi Dutta Baruah:
Investigating Stacked Ensemble Model for Oil Reservoir Characterisation. SMC 2019: 13-20 - [c23]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Anomaly Detection in Multivariate Time Series Using Fuzzy AdaBoost and Dynamic Naive Bayesian Classifier. SMC 2019: 1938-1944 - [c22]Deepankar Nankani, Rashmi Dutta Baruah:
An End-to-End framework for automatic detection of Atrial Fibrillation using Deep Residual Learning. TENCON 2019: 690-695 - 2018
- [c21]Pallabi Saikia, Prateek Vij, Rashmi Dutta Baruah:
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression. IJCNN 2018: 1-6 - [c20]Pallabi Saikia, Rashmi Dutta Baruah:
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems. SSCI 2018: 342-349 - [c19]Sonia, Prateek Vij, Rashmi Dutta Baruah:
An Experience with Multi-sensor Robot for Adaptive Human Sensing. SSCI 2018: 2278-2285 - 2017
- [c18]Sonia Sharma, Rashmi Dutta Baruah, Shivashankar B. Nair:
A Reward and Penalty Based Approach for Online Feature Selection. CYBCONF 2017: 1-6 - [c17]Rashmi Dutta Baruah, Manish Singh, Diganta Baruah, Iti Saha Misra:
Predicting activity occurrence time in smart homes with evolving fuzzy models. FUZZ-IEEE 2017: 1-5 - [c16]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Acoustic event classification using Cauchy Non-negative matrix factorization and fuzzy rule-based classifier. FUZZ-IEEE 2017: 1-6 - [c15]Senia, Shivashankar B. Nair, Rashmi Dutta Baruah:
An immune-inspired online feature selection mechanism. SMC 2017: 2123-2128 - 2016
- [c14]Sonia, Manish Singh, Rashmi Dutta Baruah, Shivashankar B. Nair:
A Voting-Based Sensor Fusion Approach for Human Presence Detection. IHCI 2016: 195-206 - [c13]Achyut Mani Tripathi, Rashmi Dutta Baruah:
Anomaly detection in data streams based on graph coloring density coefficients. SSCI 2016: 1-7 - 2015
- [c12]Sonia, Achyut Mani Tripathi, Rashmi Dutta Baruah, Shivashankar B. Nair:
Ultrasonic sensor-based human detector using one-class classifiers. EAIS 2015: 1-6 - [c11]Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah:
Acoustic sensor based activity recognition using ensemble of one-class classifiers. EAIS 2015: 1-7 - [c10]Achyut Mani Tripathi, Diganta Baruah, Rashmi Dutta Baruah:
Acoustic Event Classification Using Ensemble of One-Class Classifiers for Monitoring Application. SSCI 2015: 1681-1686 - 2014
- [j3]Rashmi Dutta Baruah, Plamen Angelov:
DEC: Dynamically Evolving Clustering and Its Application to Structure Identification of Evolving Fuzzy Models. IEEE Trans. Cybern. 44(9): 1619-1631 (2014) - [c9]Rashmi Dutta Baruah, Plamen Angelov, Diganta Baruah:
Dynamically evolving clustering for data streams. EAIS 2014: 1-6 - [c8]Rashmi Dutta Baruah, Plamen Angelov, Diganta Baruah:
Dynamically evolving fuzzy classifier for real-time classification of data streams. FUZZ-IEEE 2014: 383-389 - 2013
- [j2]Rashmi Dutta Baruah, Plamen Angelov:
Analysis of evolving social network: methods and results from cell phone dataset case study. Int. J. Soc. Netw. Min. 1(3/4): 254-279 (2013) - [c7]Rashmi Dutta Baruah, Plamen Angelov:
Online learning and prediction of data streams using dynamically evolving fuzzy approach. FUZZ-IEEE 2013: 1-8 - 2012
- [c6]Rashmi Dutta Baruah, Plamen Angelov:
Evolving social network analysis: A case study on mobile phone data. EAIS 2012: 114-120 - [c5]Rashmi Dutta Baruah, Plamen Angelov:
Evolving local means method for clustering of streaming data. FUZZ-IEEE 2012: 1-8 - 2011
- [j1]Rashmi Dutta Baruah, Plamen Angelov:
Evolving fuzzy systems for data streams: a survey. WIREs Data Mining Knowl. Discov. 1(6): 461-476 (2011) - [c4]Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov:
Automatic scene recognition for low-resource devices using evolving classifiers. FUZZ-IEEE 2011: 2779-2785 - [c3]Javier Andreu, Rashmi Dutta Baruah, Plamen Angelov:
Real time recognition of human activities from wearable sensors by evolving classifiers. FUZZ-IEEE 2011: 2786-2793 - [c2]Rashmi Dutta Baruah, Plamen Angelov, Javier Andreu:
Simpl_eClass: Simplified potential-free evolving fuzzy rule-based classifiers. SMC 2011: 2249-2254
2000 – 2009
- 2007
- [c1]Rashmi Dutta Baruah, Shivashankar B. Nair:
EZeeCom: enabling spontaneous social interactions over mobile ad hoc networks. IWCMC 2007: 559-564
Coauthor Index
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