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Pallabi Saikia

Observed names: P. Saikia, Saikia Pallabi, Saikia, Pallabi
ORCID: 0000-0001-9319-9597
Observed ORCID: 0000-0001-9319-9597
OpenAlex ID: A5041797369
A review of deep learning with special emphasis on architectures, applications and recent trends
2020 · Saptarshi Sengupta, Sanchita Basak, et al. · Knowledge-Based Systems · 458
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Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
2019 · Pallabi Saikia, Rashmi Dutta Baruah, et al. · Computers & Geosciences · 175
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features
2022 · Pallabi Saikia, Dhwani Dholaria, et al. · 2022 International Joint Conference on Neural Networks (IJCNN) · 132
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Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach
2022 · Pallabi Saikia, Kshitij Gundale, et al. · 2022 International Joint Conference on Neural Networks (IJCNN) · 20
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A Study on Kinetic Models for Analysing the Bacterial Growth Rate
2014 · Dimpal Jyoti Mahanta, Munindra Borah, et al. · 18
Evaluating the applicability of neural network to determine the extractable temperature from a shallow reservoir of Puga geothermal field
2022 · Harish Puppala, Pallabi Saikia, et al. · International Journal of Thermofluids · 13
Unsupervised Pre-training on Improving the Performance of Neural Network in Regression
2018 · Pallabi Saikia, Prateek Vij, et al. · 10
Reservoir Facies Classification using Convolutional Neural Networks
2019 · Pallabi Saikia, Deepankar Nankani, et al. · 9
Stacked ensemble model for reservoir characterisation to predict log properties from seismic signals
2023 · Pallabi Saikia, Rashmi Dutta Baruah · Computational Geosciences · 7
Investigating Stacked Ensemble Model for Oil Reservoir Characterisation
2019 · Pallabi Saikia, Rashmi Dutta Baruah · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 7
GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data
2024 · Pallabi Saikia, Rashmi Dutta Baruah · Neural Computing and Applications · 6
A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and Challenges
2022 · Chintan Patel, Shubham Vyas, et al. · 6
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Automatic Concurrent Arrhythmia Classification Using Deep Residual Neural Networks
2020 · Deepankar Nankani, Pallabi Saikia, et al. · Computing in cardiology · 6
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Detection of Pneumonia from Chest X-Ray Images Using Transfer Learning on Deep CNN
2023 · Advait Gupta, Manan Padsala, et al. · International Conference for Emerging Technology (INCET) · 5
Seismic Signal Interpretation for Reservoir Facies Classification
2019 · Pallabi Saikia, Deepankar Nankani, et al. · Lecture notes in computer science · 5
An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems
2018 · Pallabi Saikia, Rashmi Dutta Baruah · IEEE Symposium Series on Computational Intelligence (SSCI) · 5
Modelling Complex Heavy Oil Reservoir System in Kuwait: Integration of Genetic Stratigraphy in Petrophysical Rock-Type Classification
2016 · H. Ferdous, P. Choudhary, et al. · SPE Heavy Oil Conference and Exhibition · 4
Machine learning paradigm for predicting reservoir property: an exploratory analysis
2023 · Saikia Pallabi, Deepankar Nankani, et al. · Institution of Engineering and Technology eBooks · 3
Land Cover Classification from Satellite Data using Machine Learning Techniques
2021 · Nisarg Vora, Arush Patel, et al. · International Conference on Artificial Intelligence and Machine Vision (AIMV) · 3
A Comparative Study of Parametric Models of Old- Age Mortality
2014 · Pallabi Saikia, Munindra Borah · 3
Estimating and Modeling Fluid Saturations in Viscous-Oil bearing Clastic Reservoirs Lithological Controls on Reservoir Properties and Fluid Contacts
2016 · M. K. Jha, K. Al-Dohaiem, et al. · SPE Heavy Oil Conference and Exhibition · 2
A Futuristic Survey on Learning Techniques for Internet of Things (IoT) Security : Developments, Applications, and Challenges
2022 · Chintan Patel, Shubham Vyas, et al. · 1
Deepfake Detection in Solar Panel Imagery Using Hybrid Vision Transformer Architecture
2026 · Ananya Verma, Pratyush Chandra, et al.
Multimodal Fusion of Structured and Textual Data for Customer Churn Prediction Using Deep Embeddings
2026 · Vemury Lohitha Chandana, Pratyush Chandra, et al.
Explainability in Generative Medical Diffusion Models: A Faithfulness-Based Analysis on MRI Synthesis
2026 · Dey, Surjo, Saikia, Pallabi · arXiv (Cornell University)
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Works count: 27
Citation count: 898
H-index: 8
I10-index: 7
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