Journal Publications
“Machine Learning Paradigm for Predicting Reservoir Property: An Exploratory Analysis”, Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges, The Institution of Engineering and Technology (IET), 149 – 174, 2023. ISBN-13: 978-1-83953-617-5
Harish Puppala Pallabi Saikia, and Satya Pritam. “Evaluating the applicability of neural network to determine the extractable temperature from a shallow reservoir of Puga geothermal field.” International Journal of Thermofluids, Volume 17 (2023): 100259.
Pallabi Saikia, Dhwani Dholaria, Priyanka, Vaidehi Patel, and Mohendra Roy. “A Hybrid CNN-LSTM model on Leveraging Optical Flow Features of Faces for Deepfake Detection.” In International Joint Conference in Neural Networks (IJCNN), IEEE, 2022
Pallabi Saikia, Kshiti Patel, Ankit Jain, Dev Jadeja, Harvi Patel and Mohendra Roy. “Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach.” In International Joint Conference in Neural Networks (IJCNN), IEEE, 2022.
Prithviraj Kanaujia, Pallabi Saikia, and Deepankar Nankani. “Restoring Face Occluded Images Using GAN Based Inpainting with Perceptual and Contextual Losses.” In International Conference on Pattern Recognition and Machine Intelligence (PReMI), IEEE, 2021.
Nisarg Vora, Arush Patel, Kathan Shah, and Pallabi Saikia. “Land Cover Classification from Satellite Data using Machine Learning Techniques.” In Artificial Intelligence Machine Vision (AIMV), IEEE, 2021.
Deepankar Nankani, Pallabi Saikia, and Rashmi Dutta Baruah. “Automatic Concurrent Arrhythmia Classification using Deep Residual Neural Networks.” In 2020 Computing in Cardiology Conference (CinC), IEEE, 2020.
Pallabi Saikia, Rashmi Dutta Baruah, Sanjay Kumar Singh, Pradip Kumar Chaudhuri. “Artificial Neural Networks in the Domain of Reservoir Characterisation: A Review from Shallow to Deep Models.” Computers & Geosciences, Elsevier, Volume 135(2), 104357, February 2020.
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Vadlamani Ravi, and Alan Peters.“A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.”, KnowledgeBased Systems, Elsevier, Volume 194(4), 105596, 2020.
Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah. “Reservoir Facies Classification using Convolu- tional Neural Networks.”, “IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications (TENGARSS)”, IEEE, 2019.
Pallabi Saikia, Deepankar Nankani and Rashmi Dutta Baruah. “Seismic Signal Interpretation for Reservoir Facies Classification.” In International Conference on Pattern Recognition and Machine Intelligence, Springer, 2019.
Pallabi Saikia and Rashmi Dutta Baruah. “Investigating Stacked Ensemble Model for Oil Reservoir Characterisa- tion.” In IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2019.
Pallabi Saikia and Rashmi Dutta Baruah. “An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems.” In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, 2018.
Pallabi Saikia, Prateek Vij, and Rashmi Dutta Baruah. “Unsupervised Pre-training on Improving the Performance of Neural Network in Regression.” In International Joint Conference on Neural Networks (IJCNN), IEEE, 2018.
Pallabi Saikia, Margaret Kathing. “A Biometric Authentication Approach using Face Recognition System”. Inter- national Journal of Advanced Research in Computer Science and Software Engineering, Volume 4(3), 1295 - 1301, March 2014.
Pallabi Saikia, Gollo Janam, and Margaret Kathing. “Face detection using skin colour model and distance between eyes.” International Journal of Computing, Communications and Networking , WARSE, Volume 1(3), 102 - 105, December 2012.
Conference Publications
“World Congress on Computational Intelligence (WCCI)”, Padua, Italy, 18 – 24 July 2022
“Faculty Research Review Symposium”, PDPU, Gandhinagar, India, 25 february. 2022
International Conference on “Artificial Intelligence & Machine Vision”, Gandhinagar, India, 24 – 26 Sep. 2021
“Faculty Research Review Symposium”, PDPU, Gandhinagar, India, 3 Jan. 2021
“IEEE Region 10 Conference”, Kochi, India, 17 – 20 Oct. 2019
“International Conference on Pattern Recognition and Machine Intelligence”, Tezpur, India, 17 – 20 Dec. 2019
“International Conference on Systems, Man, and Cybernetics (SMC)”, Bari, Italy, 6 – 9 Oct. 2019
“IEEE Symposium Series on Computational Intelligence (SSCI)”, Bangalore, India, 18 – 21 Nov. 2018
“World Cngress on Computational Intelligence (WCCI)”, Rio De Janeiro, Brazil, 8 – 13 July 2018
Patent
Method of Predicting Reservoir Properties by Leveraging Unlabelled Seismic Data through Hybrid Deep Learning Approach
Pallabi Saikia, Rashmi Dutta Baruah, P.K. Das, S. K. Singh, P. K. Chaudhuri, Rajeev Tandon
Patent Application: 202111055351, November 30, 2021