Rashmi Dutta Baruah

About Rashmi Dutta Baruah

Rashmi Dutta Baruah, With an exceptional h-index of 11 and a recent h-index of 8 (since 2020), a distinguished researcher at Indian Institute of Technology Guwahati, specializes in the field of Evolving Intelligent Systems, Computational Intelligence, Learning from Data Streams, Online Machine Learning methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

DatUS^ 2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer

GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data

Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction

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

Integrating explicit contexts with recurrent neural networks for improving prognostic models

Explicit context integrated recurrent neural network for sensor data applications

Atrial fibrillation classification and prediction explanation using transformer neural network

Improved diagnostic performance of arrhythmia classification using conditional gan augmented heartbeats

Rashmi Dutta Baruah Information

University

Position

Assistant Professor Department of Computer Science & Engineering

Citations(all)

603

Citations(since 2020)

388

Cited By

356

hIndex(all)

11

hIndex(since 2020)

8

i10Index(all)

13

i10Index(since 2020)

8

Email

University Profile Page

Indian Institute of Technology Guwahati

Google Scholar

View Google Scholar Profile

Rashmi Dutta Baruah Skills & Research Interests

Evolving Intelligent Systems

Computational Intelligence

Learning from Data Streams

Online Machine Learning methods

Top articles of Rashmi Dutta Baruah

Title

Journal

Author(s)

Publication Date

DatUS^ 2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer

arXiv preprint arXiv:2401.12820

Sonal Kumar

Arijit Sur

Rashmi Dutta Baruah

2024/1/23

GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data

Neural Computing and Applications

Pallabi Saikia

Rashmi Dutta Baruah

2024/2/21

Exploiting Context and Attention Using Recurrent Neural Network for Sensor Time Series Prediction

Advanced Analytics and Learning on Temporal Data: 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers

Rashmi Dutta Baruah

Mario Muñoz-Organero¹

2023/12/19

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

Computational Geosciences

Pallabi Saikia

Rashmi Dutta Baruah

2023/12

Integrating explicit contexts with recurrent neural networks for improving prognostic models

Rashmi Dutta Baruah

Mario Muñoz Organero

2023/3/4

Explicit context integrated recurrent neural network for sensor data applications

arXiv preprint arXiv:2301.05031

Rashmi Dutta Baruah

Mario Muñoz Organero

2023/1/12

Atrial fibrillation classification and prediction explanation using transformer neural network

Deepankar Nankani

Rashmi Dutta Baruah

2022/7/18

Improved diagnostic performance of arrhythmia classification using conditional gan augmented heartbeats

Deepankar Nankani

Rashmi Dutta Baruah

2022/2/7

Towards layer-wise optimization of contextual neural networks with constant field of aggregation

Miroslava Mikusova

Antonin Fuchs

Adrian Karasiński

Rashmi Dutta Baruah

Rafał Palak

...

2021/4/5

Oil well drilling activities recognition using a hierarchical classifier

Journal of Petroleum Science and Engineering

Achyut Mani Tripathi

Rashmi DuttaBaruah

Senthilmurugan Subbiah

2021/1/1

Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation

Deepankar Nankani

Rashmi Dutta Baruah

2021/12/7

R-peak detection from ECG signals using fractal based mathematical morphological operators

Deepankar Nankani

Bhagath Parabattina

Rashmi Dutta Baruah

Pradip K Das

2021/12/7

Incorporating demographic and heartbeat features with multichannel ECG for cardiac abnormality detection using parallel CNN and gap network

Deepankar Nankani

Rashmi Dutta Baruah

2021/9/13

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

Deepankar Nankani

Rashmi Dutta Baruah

2021/8/30

Multivariate time series classification with an attention-based multivariate convolutional neural network

Achyut Mani Tripathi

Rashmi Dutta Baruah

2020/7/19

Acoustic event detection using fuzzy integral ensemble and oriented fuzzy local binary pattern encoded cnn

Achyut Mani Tripathi

Rashmi Dutta Baruah

2020/7/19

Contextual anomaly detection in time series using dynamic Bayesian network

Achyut Mani Tripathi

Rashmi Dutta Baruah

2020/3/4

Automatic concurrent arrhythmia classification using deep residual neural networks

Deepankar Nankani

Pallabi Saikia

Rashmi Dutta Baruah

2020/9/13

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

Pallabi Saikia

Rashmi Dutta Baruah

Sanjay Kumar Singh

Pradip Kumar Chaudhuri

2020/2/1

Transfer learning in smart home scenario

Sonia Sonia

Rashmi Dutta Baruah

2020/7/19

See List of Professors in Rashmi Dutta Baruah University(Indian Institute of Technology Guwahati)