Ashish Phophalia

According to our database1, Ashish Phophalia authored at least 18 papers between 2011 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
HML-RF: Hybrid Multi-Label Random Forest.
IEEE Access, 2022

2021
M-ary Random Forest - A new multidimensional partitioning approach to Random Forest.
Multim. Tools Appl., 2021

A Novel Initialization Approach for Fuzzy C-Means algorithm using Unsupervised Random Forest Method.
Proceedings of the IEEE Region 10 Conference, 2021

Multimodal Brain Tumor Segmentation Using Modified UNet Architecture.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
A Deep Random Forest Approach for Multimodal Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Exponentially Weighted Random Forest.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

M-ary Random Forest.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Exponential Weighted Random Forest for Hyperspectral Image Classification.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Investigation of a Joint Splitting Criteria for Decision Tree Classifier Use of Information Gain and Gini Index.
Proceedings of the TENCON 2018, 2018

2017
Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

2016
Brain Tumor Segmentation from Multimodal MR Images Using Rough Sets.
Proceedings of the Computer Vision, Graphics, and Image Processing, 2016

2015
Rough set based bilateral filter design for denoising brain MR images.
Appl. Soft Comput., 2015

Rician Noise Removal Approach for Brain MR Images Using Kernel Principal Component Analysis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2015

3D MRI Denoising Using Rough Set Theory and Kernel Embedding Method.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

2014
Rough set based image denoising for brain MR images.
Signal Process., 2014

2013
Object boundary detection using Rough Set Theory.
Proceedings of the Fourth National Conference on Computer Vision, 2013

2012
A new denoising filter for brain MR images.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

2011
Parameter Learning of Spatially Variant Finite Mixture Model using Bayesian Sampling-Resampling for MR Images.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011


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