S
Sayantan Mitra
Researcher at Indian Institute of Technology Patna
Publications - 15
Citations - 104
Sayantan Mitra is an academic researcher from Indian Institute of Technology Patna. The author has contributed to research in topics: Cluster analysis & Simulated annealing. The author has an hindex of 6, co-authored 10 publications receiving 70 citations.
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Journal ArticleDOI
A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced Datasets
TL;DR: A multi-view based deep neural network model for CDR task, designed as a combination of Convolution Neural Network and Bidirectional Long Short Term Memory network along with a Multi-Layer Perceptron (MLP).
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Exploring Multiobjective Optimization for Multiview Clustering
TL;DR: A new multiview clustering approach based on multiobjective optimization that is generally applicable to data represented by two or more views and does not require specifying the number of clusters a priori is presented.
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A multiobjective multi-view cluster ensemble technique: Application in patient subclassification.
Sayantan Mitra,Sriparna Saha +1 more
TL;DR: A late integration based multiobjective multi-view clustering algorithm which uses a special perturbation operator to generate a single set of non-dominated solutions for patient sub-classification of multi-omics datasets.
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Multi-view clustering for multi-omics data using unified embedding.
TL;DR: The proposed methodology, Multi-view Neighbourhood Embedding (MvNE), shows an improvement of approximately 2−3% over state-of-the-art models when evaluated on 10 omics data sets.
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A Stack-based Ensemble Framework for Detecting Cancer MicroRNA Biomarkers.
TL;DR: Compared to several state-of-the-art approaches for classifying different datasets, the proposed two-stage approach shows supremacy in the accuracy of classification.