• Publications
  • Influence
Multilayer perceptron, fuzzy sets, and classification
  • S. Pal, S. Mitra
  • Computer Science, Medicine
  • IEEE Trans. Neural Networks
  • 1 September 1992
A fuzzy neural network model based on the multilayer perceptron, using the backpropagation algorithm, and capable of fuzzy classification of patterns is described. Expand
  • 811
  • 77
Neuro-fuzzy rule generation: survey in soft computing framework
  • S. Mitra, Y. Hayashi
  • Mathematics, Computer Science
  • IEEE Trans. Neural Networks Learn. Syst.
  • 1 May 2000
The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule generation algorithms. Expand
  • 705
  • 22
  • PDF
Data mining in soft computing framework: a survey
The present article provides a survey of the available literature on data mining using soft computing. Expand
  • 669
  • 22
  • PDF
Multi-objective evolutionary biclustering of gene expression data
In this study, a novel multi-objective evolutionary biclustering framework is introduced by incorporating local search strategies. Expand
  • 230
  • 18
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
Due to advances in the acquisition and analysis of medical imaging, it is currently possible to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by convertingExpand
  • 304
  • 14
  • PDF
Data Mining. Multimedia, Soft Computing, and Bioinformatics
Preface. 1. Introduction to Data Mining. 2. Soft Computing. 3. Multimedia Data Compression. 4. String Matching. 5. Classification in Data Mining. 6. Clustering in Data Mining. 7. Association Rules.Expand
  • 208
  • 7
Shadowed c-means: Integrating fuzzy and rough clustering
A new method of partitive clustering is developed in the framework of shadowed sets. Expand
  • 107
  • 7
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
From the Publisher: The authors consolidate a wealth of information previously scattered in disparate articles, journals, and edited volumes, explaining both the theory of neuro-fuzzy computing andExpand
  • 289
  • 6
Evolutionary Rough Feature Selection in Gene Expression Data
An evolutionary rough feature selection algorithm is used for classifying microarray gene expression patterns. Expand
  • 131
  • 6
An evolutionary rough partitive clustering
  • S. Mitra
  • Mathematics, Computer Science
  • Pattern Recognit. Lett.
  • 1 September 2004
Abstract An evolutionary rough c -means clustering algorithm is proposed. Genetic algorithms are employed to tune the threshold, and relative importance of upper and lower approximations of the roughExpand
  • 123
  • 6