Sonar-Based Human Leg Localization Using Chaos Enhanced Dynamic Neighborhood Learning-Based GSA Aided sNDT Algorithm. | 0 | 0.34 | 2022 |
A Decade of the Z-Numbers | 1 | 0.35 | 2022 |
Rough video conceptualization for real-time event precognition with motion entropy | 0 | 0.34 | 2021 |
Deep Learning In Multi-Object Detection And Tracking: State Of The Art | 1 | 0.39 | 2021 |
Z * -Numbers, Data Structures, and Thinking in Machine-Mind Architecture | 1 | 0.35 | 2020 |
Granulated deep learning and Z-numbers in motion detection and object recognition | 1 | 0.34 | 2020 |
Data-Structures for Multisensory Information Processing in an Embodied Machine-Mind. | 1 | 0.34 | 2018 |
Double Bounded Rough Set, Tension Measure, and Social Link Prediction. | 1 | 0.35 | 2018 |
A computational model for the endogenous arousal of thoughts through Z*-numbers. | 3 | 0.39 | 2017 |
A Granular Self-Organizing Map for Clustering and Gene Selection in Microarray Data. | 3 | 0.37 | 2016 |
Robust Boosted Parameter Based Combined Classifier for Rotation Invariant Texture Classification. | 1 | 0.38 | 2016 |
Data science, big data and granular mining | 7 | 0.45 | 2015 |
Fitting truncated geometric distributions in large scale real world networks. | 3 | 0.42 | 2014 |
Title Paper: Natural computing: A problem solving paradigm with granular information processing. | 5 | 0.38 | 2013 |
Incorporating local image structure in normalized cut based graph partitioning for grouping of pixels. | 5 | 0.39 | 2013 |
Encounters with Fuzziness and Ambiguity in Patterns – A Memorable Journey | 0 | 0.34 | 2013 |
Improving feature space based image segmentation via density modification | 5 | 0.41 | 2012 |
Granular Mining and Rough-Fuzzy Pattern Recognition: A Way to Natural Computation. | 4 | 0.52 | 2012 |
A Weighted Power Framework for Integrating Multisource Information: Gene Function Prediction in Yeast | 5 | 0.42 | 2012 |
A rough-fuzzy HSV color histogram for image segmentation | 2 | 0.41 | 2011 |
A Novel Fuzzy Rough Granular Neural Network For Classification | 4 | 0.44 | 2011 |
Automatic exact histogram specification for contrast enhancement and visual system based quantitative evaluation. | 27 | 1.06 | 2011 |
Rough set based ensemble classifier | 1 | 0.40 | 2011 |
Fuzzy rough granular self organizing map | 9 | 0.49 | 2011 |
Fuzzy rough granular neural networks, fuzzy granules, and classification | 22 | 0.71 | 2011 |
Computational theory perception (CTP), rough-fuzzy uncertainty analysis and mining in bioinformatics and web intelligence: a unified framework | 5 | 0.46 | 2010 |
A novel split and merge technique for hypertext classification | 0 | 0.34 | 2010 |
Image Enhancement Using Multi-objective Genetic Algorithms | 1 | 0.38 | 2009 |
Feature space based image segmentation via density modification | 1 | 0.45 | 2009 |
Histogram thresholding using fuzzy and rough measures of association error. | 17 | 0.69 | 2009 |
Pattern Recognition and Machine Intelligence, Third International Conference, PReMI 2009, New Delhi, India, December 16-20, 2009 Proceedings | 97 | 7.27 | 2009 |
MRF Based LSB Steganalysis: A New Measure of Steganography Capacity | 2 | 0.41 | 2009 |
Rough Ensemble Classifier: A Comparative Study | 2 | 0.38 | 2009 |
Rough-fuzzy relational clustering algorithm for biological sequence mining | 1 | 0.36 | 2008 |
Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation | 21 | 0.91 | 2008 |
Discovering patterns of DNA methylation: rule mining with rough sets and decision trees, and comethylation analysis | 0 | 0.34 | 2007 |
Dynamic range-based distance measure for microarray expressions and a fast gene-ordering algorithm. | 7 | 0.46 | 2007 |
Histogram Thresholding using Beam Theory and Ambiguity Measures | 5 | 0.57 | 2007 |
Fast, Reliable & Secure Digital Communication Using Hadamard Matrices | 1 | 0.37 | 2007 |
Rough set Based Ensemble Classifier forWeb Page Classification | 20 | 1.19 | 2007 |
Rough Sets Based Hybrid C-Means Algorithm | 0 | 0.34 | 2007 |
Figure-Ground Segregation: Cues from Early Vision | 0 | 0.34 | 2007 |
Protein sequence analysis using relational soft clustering algorithms | 0 | 0.34 | 2007 |
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation | 1 | 0.37 | 2006 |
Fuzzy web surfer models: theory and experiments | 0 | 0.34 | 2006 |
A MOE framework for Biclustering of Microarray Data | 4 | 0.42 | 2006 |
Rough set feature selection methods for case-based categorization of text documents | 6 | 0.56 | 2005 |
Granular computing, rough entropy and object extraction | 82 | 3.04 | 2005 |
New genetic operators for solving TSP: application to microarray gene ordering | 3 | 0.38 | 2005 |
Learning similarity measure of nominal features in CBR classifiers | 1 | 0.63 | 2005 |