| 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 |
| 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 |
| 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 |
| Reservoir facies classification using convolutional neural networks P Saikia, D Nankani, RD Baruah 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies …, 2019 | 6 | 2019 |
| Effective removal of baseline wander from ecg signals: A comparative study D Nankani, RD Baruah Machine Learning, Image Processing, Network Security and Data Sciences …, 2020 | 4 | 2020 |
| Ventricular Arrhythmia Classification and Interpretation Using Residual Neural Network with Guided Backpropagation D Nankani, RD Baruah TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 574-579, 2021 | 3 | 2021 |
| Machine learning paradigm for predicting reservoir property: an exploratory analysis S Pallabi, D Nankani, RD Baruah Earth Observation Data Analytics Using Machine and Deep Learning: Modern …, 2023 | 2 | 2023 |
| R-peak detection from ECG signals using fractal based mathematical morphological operators D Nankani, B Parabattina, RD Baruah, PK Das TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 225-230, 2021 | 2 | 2021 |
| Seismic signal interpretation for reservoir facies classification P Saikia, D Nankani, RD Baruah Pattern Recognition and Machine Intelligence: 8th International Conference …, 2019 | 2 | 2019 |
| Improved Diagnostic Performance of Arrhythmia Classification Using Conditional GAN Augmented Heartbeats D Nankani, R Dutta Baruah Generative Adversarial Learning: Architectures and Applications, Intelligent …, 2022 | 1 | 2022 |
| Incorporating demographic and heartbeat features with multichannel ECG for cardiac abnormality detection using parallel CNN and gap network D Nankani, RD Baruah 2021 Computing in Cardiology (CinC) 48, 1-4, 2021 | 1 | 2021 |
| A Comprehensive Review on Efficient Artificial Intelligence Models for Classification of Abnormal Cardiac Rhythms using Electrocardiograms U Gupta, N Paluru, D Nankani, K Kulkarni, N Awasthi Heliyon, 2024 | | 2024 |
| Deep Learning Models for Cardiac Abnormality Detection from ECG Signals An Interpretability Perspective D Nankani Guwahati, 2022 | | 2022 |
| PIPxResNet: Penalty Induced Prototype-Based eXplainable Residual Neural Network for Heartbeat Classification D Nankani, RD Baruah | | 2021 |
| Investigating Interpretability in Deep Learning Models: A Case Study on Cardiac Abnormality Detection from Electrocardiogram Signals D Nankani | | 2021 |
Rashmi Dutta BaruahAssistant Professor, Department of Computer Science & Engineering, IIT GuwahatiBestätigte E-Mail-Adresse bei iitg.ernet.in
