5 citations · 6 across the 5 of their papers we have counts for
5 papers
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Soumi Chaki, David Weinberg, Ayca Özcelikkale
Spiking Neural Networks (SNNs) are biologically inspired alternatives to conventional Artificial Neural Networks (ANNs). Despite promising preliminary results, the trade-offs in th…
A One class Classifier based Framework using SVDD : Application to an Imbalanced Geological Dataset
Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray +2
Evaluation of hydrocarbon reservoir requires classification of petrophysical properties from available dataset. However, characterization of reservoir attributes is difficult due t…
A Novel Framework based on SVDD to Classify Water Saturation from Seismic Attributes
Soumi Chaki, Akhilesh Kumar Verma, Aurobinda Routray +2
Water saturation is an important property in reservoir engineering domain. Thus, satisfactory classification of water saturation from seismic attributes is beneficial for reservoir…
A novel multiclassSVM based framework to classify lithology from well logs: a real-world application
Soumi Chaki, Aurobinda Routray, William K. Mohanty +1
Support vector machines (SVMs) have been recognized as a potential tool for supervised classification analyses in different domains of research. In essence, SVM is a binary classif…
Development of a hybrid learning system based on SVM, ANFIS and domain knowledge: DKFIS
Soumi Chaki, Aurobinda Routray, William K. Mohanty +1
This paper presents the development of a hybrid learning system based on Support Vector Machines (SVM), Adaptive Neuro-Fuzzy Inference System (ANFIS) and domain knowledge to solve…