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Anindya Halder
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2020 – today
- 2024
- [j20]Tanuja Das, Anindya Halder, Goutam Saha:
Application Of Density-Based Clustering Approaches For Stock Market Analysis. Appl. Artif. Intell. 38(1) (2024) - [j19]Moumita Roy
, Anindya Halder, Sukanta Majumder, Utpal Biswas:
AttentivECGRU: GRU based autoencoder with attention mechanism and automated fuzzy thresholding for ECG arrhythmia detection. Appl. Soft Comput. 167: 112337 (2024) - [j18]Shambo Chatterjee
Detection of Dense Built-Up Area in Low-Resolution Satellite Images Using Deep Learning and DBSCAN Approaches. Int. J. Pattern Recognit. Artif. Intell. 38(4): 2451004:1-2451004:30 (2024) - [j17]Ansuman Kumar, Dikme Chisil B. Marak, Anindya Halder:
Semi-supervised fuzzy-rough extreme learning machine for classification of cancer from microRNA. Int. J. Mach. Learn. Cybern. 15(10): 4537-4548 (2024) - [j16]Anindya Halder, Nur Alom Talukdar:
Kernel induced semi-supervised spatial clustering: a novel brain MRI segmentation technique. Multim. Tools Appl. 83(16): 49213-49241 (2024) - 2023
- [j15]Moumita Roy, Sukanta Majumder
ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG. Eng. Appl. Artif. Intell. 124: 106484 (2023) - 2022
- [j14]Ansuman Kumar, Anindya Halder:
Greedy fuzzy vaguely quantified rough approach for cancer relevant gene selection from gene expression data. Soft Comput. 26(24): 13567-13581 (2022) - 2021
- [j13]Rubul Kumar Bania
R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification. Artif. Intell. Medicine 114: 102049 (2021) - [j12]Dikme Chisil B. Marak, Anindya Halder, Ansuman Kumar:
Semi-supervised Ensemble Learning for Efficient Cancer Sample Classification from miRNA Gene Expression Data. New Gener. Comput. 39(3): 487-513 (2021) - 2020
- [j11]Rubul Kumar Bania
R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data. Comput. Methods Programs Biomed. 184: 105122 (2020) - [j10]Ansuman Kumar, Anindya Halder
Ensemble-based active learning using fuzzy-rough approach for cancer sample classification. Eng. Appl. Artif. Intell. 91: 103591 (2020) - [j9]Rubul Kumar Bania
Adaptive Trimmed Median Filter for Impulse Noise Detection and Removal with an Application to Mammogram Images. Int. J. Image Graph. 20(4): 2050032:1-2050032:28 (2020) - [j8]Ansuman Kumar, Anindya Halder
Active Learning Using Fuzzy-Rough Nearest Neighbor Classifier for Cancer Prediction from Microarray Gene Expression Data. Int. J. Pattern Recognit. Artif. Intell. 34(1): 2057001:1-2057001:28 (2020)
2010 – 2019
- 2019
- [j7]Anindya Halder
Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints. Appl. Soft Comput. 85 (2019) - [j6]Anindya Halder
Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data. J. Biomed. Informatics 92 (2019) - 2013
- [j5]Anindya Halder
Aggregation pheromone metaphor for semi-supervised classification. Pattern Recognit. 46(8): 2239-2248 (2013) - 2011
- [j4]Anindya Halder
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems. Appl. Soft Comput. 11(8): 5770-5781 (2011) - 2010
- [c3]Anindya Halder
Ant Based Semi-supervised Classification. ANTS Conference 2010: 376-383
2000 – 2009
- 2009
- [j3]Anindya Halder, Ashish Ghosh, Susmita Ghosh:
Aggregation Pheromone Density Based Pattern Classification. Fundam. Informaticae 92(4): 345-362 (2009) - [j2]Susmita Ghosh
Use of aggregation pheromone density for image segmentation. Pattern Recognit. Lett. 30(10): 939-949 (2009) - [c2]Anindya Halder
Ant based Supervised and Unsupervised Land Use Map Generation from Remotely Sensed Images. NaBIC 2009: 158-163 - 2008
- [j1]Ashish Ghosh
Aggregation pheromone density based data clustering. Inf. Sci. 178(13): 2816-2831 (2008) - [c1]Anindya Halder
Aggregation Pheromone Density Based Classification. ICIT 2008: 100-105
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