| Aggregation pheromone density based data clustering A Ghosh, A Halder, M Kothari, S Ghosh Information Sciences 178 (13), 2816-2831, 2008 | 77 | 2008 |
| Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems A Halder, A Ghosh, S Ghosh Applied Soft Computing 11 (8), 5770-5781, 2011 | 72 | 2011 |
| R-Ensembler: A greedy rough set based ensemble attribute selection algorithm with kNN imputation for classification of medical data RK Bania, A Halder Computer methods and programs in biomedicine 184, 105122, 2020 | 67 | 2020 |
| R-HEFS: Rough set based heterogeneous ensemble feature selection method for medical data classification RK Bania, A Halder Artificial Intelligence in Medicine 114, 102049, 2021 | 42 | 2021 |
| Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data A Halder, A Kumar Journal of Biomedical Informatics (Elsevier) 92 (April), 103136, 2019 | 34 | 2019 |
| Aggregation pheromone density based pattern classification A Halder, A Ghosh, S Ghosh Fundamenta Informaticae 92 (4), 345-362, 2009 | 29 | 2009 |
| Aggregation pheromone metaphor for semi-supervised classification A Halder, S Ghosh, A Ghosh Pattern Recognition 46 (8), 2239-2248, 2013 | 27 | 2013 |
| Use of aggregation pheromone density for image segmentation S Ghosh, M Kothari, A Halder, A Ghosh Pattern Recognition Letters 30 (10), 939-949, 2009 | 25 | 2009 |
| Ensemble-based active learning using fuzzy-rough approach for cancer sample classification A Kumar, A Halder Engineering Applications of Artificial Intelligence 91, 103591, 2020 | 18 | 2020 |
| Brain tissue segmentation using improved kernelized rough-fuzzy C-means with spatio-contextual information from MRI A Halder, A Talukdar, N Magnetic Resonance Imaging (Elsevier) 62, 129-151, 2019 | 18 | 2019 |
| Active learning using fuzzy k-NN for cancer classification from microarray gene expression data A Halder, S Dey, A Kumar Advances in Communication and Computing, 103-113, 2015 | 18 | 2015 |
| Ant based semi-supervised classification A Halder, S Ghosh, A Ghosh International Conference on Swarm Intelligence, 376-383, 2010 | 16 | 2010 |
| Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints A Halder, NA Talukdar Applied Soft Computing 85, 105758, 2019 | 15 | 2019 |
| Semi-supervised fuzzy K-NN for cancer classification from microarray gene expression data A Halder, S Misra 2014 First International Conference on Automation, Control, Energy and …, 2014 | 14 | 2014 |
| Active Learning using Fuzzy-Rough Nearest Neighbour Classifier for Cancer Prediction from Microarray Gene Expression data A Kumar, A Halder International Journal of Pattern Recognition and Artificial Intelligence, 2019 | 9 | 2019 |
| Kernel based rough fuzzy c-means clustering optimized using particle swarm optimization A Halder 2015 International Symposium on Advanced Computing and Communication (ISACC …, 2015 | 9 | 2015 |
| ECG-NET: A deep LSTM autoencoder for detecting anomalous ECG M Roy, S Majumder, A Halder, U Biswas Engineering Applications of Artificial Intelligence 124, 106484, 2023 | 8 | 2023 |
| Semi-supervised ensemble learning for efficient cancer sample classification from miRNA gene expression data DCB Marak, A Halder, A Kumar New Generation Computing 39 (3), 487-513, 2021 | 6 | 2021 |
| Partially supervised kernel induced rough fuzzy clustering for brain tissue segmentation NA Talukdar, A Halder Pattern Recognition and Image Analysis 31, 91-102, 2021 | 5 | 2021 |
| Adaptive trimmed median filter for impulse noise detection and removal with an application to mammogram images RK Bania, A Halder International Journal of Image and Graphics 20 (04), 2050032, 2020 | 5 | 2020 |
