Soumi Chaki

14 papers C 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Communication Trade-offs in Federated Learning of Spiking Neural Networks. CoRR Soumi Chaki, David Weinberg, Ayça Özcelikkale
2019	J	`jnl`	A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Soumi Chaki, Aurobinda Routray, William K. Mohanty
2018	C	`conf`	A Variational Mode Decomposition Based Novel Preprocessing Method for Reservoir Characterization Using Support Vector Regression. IGARSS Soumi Chaki, Aurobinda Routray, William K. Mohanty
2018	J	`jnl`	Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective. IEEE Signal Process. Mag. Soumi Chaki, Aurobinda Routray, William K. Mohanty
2017	J	`jnl`	A Diffusion Filter Based Scheme to Denoise Seismic Attributes and Improve Predicted Porosity Volume. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Soumi Chaki, Aurobinda Routray, William K. Mohanty
2016	J	`jnl`	A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes. CoRR Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
2016	J	`jnl`	A One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset. CoRR Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
2016	J	`jnl`	A novel multiclassSVM based framework to classify lithology from well logs: a real-world application. CoRR Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
2016	J	`jnl`	Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS. CoRR Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
2015	J	`jnl`	A Novel Pre-processing Scheme to Improve the Prediction of Sand Fraction from Seismic Attributes using Neural Networks. CoRR Soumi Chaki, Aurobinda Routray, William K. Mohanty
2015	J	`jnl`	A Novel Preprocessing Scheme to Improve the Prediction of Sand Fraction From Seismic Attributes Using Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Soumi Chaki, Aurobinda Routray, William K. Mohanty
2015	J	`jnl`	Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach. CoRR Akhilesh K. Verma, Soumi Chaki, Aurobinda Routray, William K. Mohanty, Mamata Jenamani
2015	J	`jnl`	Reservoir Characterization: A Machine Learning Approach. CoRR Soumi Chaki
2015	J	`jnl`	Well Tops Guided Prediction of Reservoir Properties using Modular Neural Network Concept A Case Study from Western Onshore, India. CoRR Soumi Chaki, Akhilesh K. Verma, Aurobinda Routray, William K. Mohanty, Mamata Jenamani