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Sanghamitra Bandyopadhyay

Sanghamitra Bandyopadhyay

D-Index & Metrics

Computer Science

D-Index
63
Citations
19904
World Ranking
2711
National Ranking
22

Overview

Sanghamitra Bandyopadhyay is affiliated with the Indian Statistical Institute in India. Their research spans multiple fields with a strong focus on computer science and biochemistry, genetics, and molecular biology.

The scientist's main fields of study include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

The subfields of study covered by their work are:

  • Molecular Biology
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Cancer Research

Key research topics explored by Sanghamitra Bandyopadhyay involve:

  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Advanced Graph Neural Networks
  • Extracellular vesicles in disease
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Advanced Multi-Objective Optimization Algorithms

Recent publications by the scientist include:

  • Stable feature selection using copula based mutual information, 2020, Pattern Recognition
  • Decomposition in decision and objective space for multi-modal multi-objective optimization, 2021, Swarm and Evolutionary Computation
  • Novel weighted ensemble classifier for smartphone based indoor localization, 2020, Expert Systems with Applications
  • Supervised feature selection using integration of densest subgraph finding with floating forward-backward search, 2021, Information Sciences
  • sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data, 2021, Briefings in Bioinformatics

Frequent co-authors collaborating with Sanghamitra Bandyopadhyay are:

  • Snehalika Lall
  • Sumanta Ray
  • Monidipa Das
  • Abhik Ghosh
  • Sucheta Dawn

The scientist often publishes in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Applied Intelligence
  • Pattern Recognition
  • Swarm and Evolutionary Computation

Best Publications

  • Genetic algorithm-based clustering technique

    Ujjwal Maulik;Sanghamitra Bandyopadhyay

  • Performance evaluation of some clustering algorithms and validity indices

    U. Maulik;S. Bandyopadhyay

  • A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

    S. Bandyopadhyay;S. Saha;U. Maulik;K. Deb

  • Validity index for crisp and fuzzy clusters

    Malay Kumar Pakhira;Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients

    Praveen Kumar Tripathi;Sanghamitra Bandyopadhyay;Sankar Kumar Pal

  • Genetic clustering for automatic evolution of clusters and application to image classification

    Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • An evolutionary technique based on K-means algorithm for optimal clustering in R N

    Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

    Anirban Mukhopadhyay;Ujjwal Maulik;Sanghamitra Bandyopadhyay;Carlos Artemio Coello Coello

  • Nonparametric genetic clustering: comparison of validity indices

    S. Bandyopadhyay;U. Maulik

  • Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery

    S. Bandyopadhyay;U. Maulik;A. Mukhopadhyay

  • Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification

    U. Maulik;S. Bandyopadhyay

  • A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification

    Malay K. Pakhira;Sanghamitra Bandyopadhyay;Ujjwal Maulik

  • TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples

    Sanghamitra Bandyopadhyay;Ramkrishna Mitra

  • Multiobjective GAs, quantitative indices, and pattern classification

    S. Bandyopadhyay;S.K. Pal;B. Aruna

  • Development of the human cancer microRNA network

    Sanghamitra Bandyopadhyay;Ramkrishna Mitra;Ujjwal Maulik;Michael Q Zhang;Michael Q Zhang

  • An improved algorithm for clustering gene expression data

    Sanghamitra Bandyopadhyay;Anirban Mukhopadhyay;Ujjwal Maulik

  • Clustering distributed data streams in peer-to-peer environments

    Sanghamitra Bandyopadhyay;Chris Giannella;Ujjwal Maulik;Hillol Kargupta

  • GAPS: A clustering method using a new point symmetry-based distance measure

    Sanghamitra Bandyopadhyay;Sriparna Saha

  • A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters

    S. Bandyopadhyay;S. Saha

  • Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

    Unknown

  • Classification and learning using genetic algorithms : applications in bioinformatics and web intelligence

    Sanghamitra Bandyopadhyay;Sankar K Pal

  • Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications

    Sanghamitra Bandyopadhyay;Sriparna Saha

Frequent Co-Authors

Ujjwal Maulik
Ujjwal Maulik Jadavpur University
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute
Michael Q. Zhang
Michael Q. Zhang The University of Texas at Dallas
C. A. Murthy
C. A. Murthy Indian Statistical Institute
Hillol Kargupta
Hillol Kargupta University of Maryland, Baltimore County
Pabitra Mitra
Pabitra Mitra Indian Institute of Technology Kharagpur
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Edgar Wingender
Edgar Wingender University of Göttingen
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston
Benedikt Brors
Benedikt Brors German Cancer Research Center

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