Manomita Chakraborty

Orcid: 0000-0002-0285-6721

According to our database1, Manomita Chakraborty authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Comprehensible and transparent rule extraction using neural network.
Multim. Tools Appl., August, 2024

Symbolic Interpretation of Trained Neural Network Ensembles.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., July, 2024

2022
Computer-Aided Heart Disease Diagnosis Using Recursive Rule Extraction Algorithms from Neural Networks.
Int. J. Comput. Intell. Appl., 2022

Rule extraction using ensemble of neural network ensembles.
Cogn. Syst. Res., 2022

2021
A transparent rule-based expert system using neural network.
Soft Comput., 2021

Breast Cancer Management System Using Decision Tree and Neural Network.
SN Comput. Sci., 2021

2020
Rule extraction from neural network trained using deep belief network and back propagation.
Knowl. Inf. Syst., 2020

A novel ensembling method to boost performance of neural networks.
J. Exp. Theor. Artif. Intell., 2020

2019
Rule Extraction from Neural Network Using Input Data Ranges Recursively.
New Gener. Comput., 2019

An Intelligent System for Diagnosis of Diabetic Retinopathy.
Proceedings of the Soft Computing for Problem Solving 2019, 2019

Performance Analysis of Recursive Rule Extraction Algorithms for Disease Prediction.
Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019

2018
Recursive Rule Extraction from NN using Reverse Engineering Technique.
New Gener. Comput., 2018

A Hybrid Case Based Reasoning Model for Classification in Internet of Things (IoT) Environment.
J. Organ. End User Comput., 2018

A rule generation algorithm from neural network using classified and misclassified data.
Int. J. Bio Inspired Comput., 2018

2017
Hybrid case-based reasoning system by cost-sensitive neural network for classification.
Soft Comput., 2017

Rule Extraction from Training Data Using Neural Network.
Int. J. Artif. Intell. Tools, 2017

2016
Rainfall forecasting by relevant attributes using artificial neural networks - a comparative study.
Int. J. Big Data Intell., 2016


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