Anindya Halder

Goutam Saha

Appl. Artif. Intell., December, 2024

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

[BibT_eX]

[DOI]

Dikme Chisil B. Marak

Int. J. Mach. Learn. Cybern., October, 2024

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

[BibT_eX]

[DOI]

Priya Ranjan Sinha Mahapatra

Nur Alom Talukdar

Multim. Tools Appl., May, 2024

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

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., March, 2024

AttentivECGRU: GRU based autoencoder with attention mechanism and automated fuzzy thresholding for ECG arrhythmia detection.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

2023

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

2022

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

[BibT_eX]

[DOI]

Soft Comput., December, 2022

2021

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

[BibT_eX]

[DOI]

Dikme Chisil B. Marak

New Gener. Comput., 2021

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

[BibT_eX]

[DOI]

Rubul Kumar Bania

Artif. Intell. Medicine, 2021

2020

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

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2020

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

[BibT_eX]

[DOI]

Rubul Kumar Bania

Int. J. Image Graph., 2020

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with <i>k</i>NN imputation for classification of medical data.

[BibT_eX]

[DOI]

Rubul Kumar Bania

Comput. Methods Programs Biomed., 2020

2019

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

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

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

[BibT_eX]

[DOI]

Nur Alom Talukdar

Appl. Soft Comput., 2019

2013

Aggregation pheromone metaphor for semi-supervised classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

2011

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2011

2010

Ant Based Semi-supervised Classification.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 7th International Conference, 2010

2009

Use of aggregation pheromone density for image segmentation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

Aggregation Pheromone Density Based Pattern Classification.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2009

Ant based Supervised and Unsupervised Land Use Map Generation from Remotely Sensed Images.

[BibT_eX]

[DOI]

Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

2008

Aggregation pheromone density based data clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2008

Aggregation Pheromone Density Based Classification.

[BibT_eX]

[DOI]