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Application Of Density-Based Clustering Approaches For Stock Market Analysis

Applied artificial intelligence, 2024-12, Vol.38 (1)

2024

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Partially Supervised Kernel Induced Rough Fuzzy Clustering for Brain Tissue Segmentation

Pattern recognition and image analysis, 2021, Vol.31 (1), p.91-102

2021

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Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data

New generation computing, 2021-11, Vol.39 (3-4), p.487-513

2021

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Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data

Journal of biomedical informatics, 2019-04, Vol.92, p.103136-103136, Article 103136

2019

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R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data

Computer methods and programs in biomedicine, 2020-02, Vol.184, p.105122-105122, Article 105122

2020

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Ensemble-based active learning using fuzzy-rough approach for cancer sample classification

Engineering applications of artificial intelligence, 2020-05, Vol.91, p.103591, Article 103591

2020

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R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification

Artificial intelligence in medicine, 2021-04, Vol.114, p.102049-102049, Article 102049

2021

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Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique

Multimedia tools and applications, 2024-05, Vol.83 (16), p.49213-49241

2024

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Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints

Applied soft computing, 2019-12, Vol.85, p.105758, Article 105758

2019

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Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI

Magnetic resonance imaging, 2019-10, Vol.62, p.129-151

2019

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Active Learning Using Fuzzy-Rough Nearest Neighbor Classifier for Cancer Prediction from Microarray Gene Expression Data

International journal of pattern recognition and artificial intelligence, 2020-01, Vol.34 (1), p.2057001

2020

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Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data

Soft computing (Berlin, Germany), 2022-12, Vol.26 (24), p.13567-13581

2022

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ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG

Engineering applications of artificial intelligence, 2023-09, Vol.124, p.106484, Article 106484

2023

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Automatic Breast Mass Lesion Detection in Mammogram Image

International journal of image and graphics, 2023-07

2023

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Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images

International journal of image and graphics, 2020-10, Vol.20 (4), p.2050032

2020

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Ensemble based Fuzzy-Rough Nearest Neighbor Approach for Classification of Cancer from Microarray data

International journal of research in advent technology, 2019-06, Vol.7 (5), p.112-117

2019

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Detection of Dense Built-Up Area in Low-Resolution Satellite Images Using Deep Learning and DBSCAN Approaches

International journal of pattern recognition and artificial intelligence, 2024-03, Vol.38 (4)

2024

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Aggregation pheromone metaphor for semi-supervised classification

Pattern recognition, 2013-08, Vol.46 (8), p.2239-2248

2013

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Cancer Classification from Gene Expression data using Fuzzy-Rough techniques An Empirical Study

International Journal of Computer Sciences and Engineering, 2018-06, Vol.6 (6), p.415-420

2018

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Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA

International journal of machine learning and cybernetics, 2024-10, Vol.15 (10), p.4537-4548

2024

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Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems

Applied soft computing, 2011-12, Vol.11 (8), p.5770-5781

2011

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Semi-Supervised Rough Fuzzy Clustering for Brain MRI Segmentation

International journal of research in advent technology, 2019-04, Vol.7 (3), p.1287-1294

2019

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Computational analysis of gene expression data using bidirectional long short-term memory for disease diagnosis

Innovations in systems and software engineering, 2022-10

2022

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A comparative analytical study on outcome of secondary peritonitis using Mannheim’s peritonitis index in geographically diverse Indian patients

Turkish journal of surgery, 2023-12, Vol.39 (4), p.300-309

2023

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Aggregation pheromone density based data clustering

Information sciences, 2008-07, Vol.178 (13), p.2816-2831

2008

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Application Of Density-Based Clustering Approaches For Stock Market Analysis

Partially Supervised Kernel Induced Rough Fuzzy Clustering for Brain Tissue Segmentation

Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data

Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data

R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data

Ensemble-based active learning using fuzzy-rough approach for cancer sample classification

R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification

Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique

Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints

Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI

Active Learning Using Fuzzy-Rough Nearest Neighbor Classifier for Cancer Prediction from Microarray Gene Expression Data

Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data

ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG

Automatic Breast Mass Lesion Detection in Mammogram Image

Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images

Ensemble based Fuzzy-Rough Nearest Neighbor Approach for Classification of Cancer from Microarray data

Detection of Dense Built-Up Area in Low-Resolution Satellite Images Using Deep Learning and DBSCAN Approaches

Aggregation pheromone metaphor for semi-supervised classification

Cancer Classification from Gene Expression data using Fuzzy-Rough techniques An Empirical Study

Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA

Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems

Semi-Supervised Rough Fuzzy Clustering for Brain MRI Segmentation

Computational analysis of gene expression data using bidirectional long short-term memory for disease diagnosis

A comparative analytical study on outcome of secondary peritonitis using Mannheim’s peritonitis index in geographically diverse Indian patients

Aggregation pheromone density based data clustering

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