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Sivaji Bandyopadhyay

Sivaji Bandyopadhyay

D-Index & Metrics

Computer Science

D-Index
34
Citations
6706
World Ranking
11998
National Ranking
134

Overview

Sivaji Bandyopadhyay is affiliated with Jadavpur University in India and has a significant body of research in the field of computer science, with a focus on artificial intelligence and its applications. Their work encompasses various subfields such as computer vision and pattern recognition, radiology, nuclear medicine and imaging, computational theory and mathematics, and computer networks and communications.

Their research topics include topic modeling, natural language processing techniques, multimodal machine learning applications, mathematics, computing and information processing, AI in cancer detection, video analysis and summarization, and advanced text analysis techniques.

Recent papers authored or co-authored by Bandyopadhyay include:

  • Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach (2020, Journal of Healthcare Engineering)
  • A critical review on diagnosis of diabetic retinopathy using machine learning and deep learning (2022, Multimedia Tools and Applications)
  • Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC) (2022, Multimedia Tools and Applications)
  • Breast ultrasound tumour classification: A Machine Learning-Radiomics based approach (2021, Expert Systems)
  • Low resource language specific pre-processing and features for sentiment analysis task (2021, Language Resources and Evaluation)

Sivaji Bandyopadhyay has frequently collaborated with several co-authors, including Partha Pakray, Thoudam Doren Singh, Pankaj Dadure, Alok Singh, and Sahinur Rahman Laskar.

The most common publication venues for their work are:

  • Multimedia Tools and Applications
  • arXiv (Cornell University)
  • Procedia Computer Science
  • Sadhana
  • IEEE Transactions on Systems Man and Cybernetics Systems

In addition to journal articles, Bandyopadhyay has contributed to several book publications with major academic publishers such as Springer Nature, Springer Science+Business Media, and Springer International Publishing. Notable book titles include:

  • Modeling, Simulation and Optimization (Springer Nature, 2022; 2021; 2024)
  • Big Data, Machine Learning, and Applications (Springer Science+Business Media, 2020)
  • Edge Analytics (Springer Science+Business Media, 2022)
  • Proceedings of International Conference on Big Data, Machine Learning and Applications (Springer International Publishing, 2021)

Best Publications

  • A Practical Guide to Sentiment Analysis

    Erik Cambria;Dipankar Das;Sivaji Bandyopadhyay;Antonio Feraco

  • Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining

    S. Poria;A. Gelbukh;A. Hussain;N. Howard

  • SentiWordNet for Indian Languages

    Amitava Das;Sivaji Bandyopadhyay

  • Named Entity Recognition using Support Vector Machine: A Language Independent Approach

    Asif Ekbal;Sivaji Bandyopadhyay

  • Named Entity Recognition using Support Vector Machine: A Language Independent Approach

    Asif Ekbal;Sivaji Bandyopadhyay

  • Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach.

    Arnab Kumar Mishra;Sujit Kumar Das;Pinki Roy;Sivaji Bandyopadhyay

  • Bengali Named Entity Recognition Using Support Vector Machine

    Asif Ekbal;Sivaji Bandyopadhyay

  • Breast ultrasound tumour classification: A Machine Learning—Radiomics based approach

    Arnab Kumar Mishra;Pinki Roy;Sivaji Bandyopadhyay;Sujit Kumar Das

  • Language Independent Named Entity Recognition in Indian Languages

    Asif Ekbal;Rejwanul Haque;Amitava Das;Venkateswarlu Poka

  • A Modified Joint Source-Channel Model for Transliteration

    Asif Ekbal;Sudip Kumar Naskar;Sivaji Bandyopadhyay

  • A web-based Bengali news corpus for named entity recognition

    Asif Ekbal;Sivaji Bandyopadhyay

  • A Conditional Random Field Approach for Named Entity Recognition in Bengali and Hindi

    Asif Ekbal;Sivaji Bandyopadhyay

  • Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering

    Soujanya Poria;Alexander Gelbukh;Erik Cambria;Dipankar Das

  • Part of Speech Tagging in Bengali Using Support Vector Machine

    A. Ekbal;S. Bandyopadhyay

  • Word to Sentence Level Emotion Tagging for Bengali Blogs

    Dipankar Das;Sivaji Bandyopadhyay

  • Named Entity Recognition in Bengali: A Conditional Random Field Approach

    Asif Ekbal;Rejwanul Haque;Sivaji Bandyopadhyay

  • Overview of FIRE-2015 Shared Task on Mixed Script Information Retrieval.

    Royal Sequiera;Monojit Choudhury;Parth Gupta;Paolo Rosso

  • Labeling Emotion in Bengali Blog Corpus – A Fine Grained Tagging at Sentence Level

    Dipankar Das;Sivaji Bandyopadhyay

  • A hidden Markov model based named entity recognition system: Bengali and Hindi as case studies

    Asif Ekbal;Sivaji Bandyopadhyay

  • Topic-Based Bengali Opinion Summarization

    Amitava Das;Sivaji Bandyopadhyay

  • Emerging Applications of Natural Language Processing: Concepts and New Research

    Sivaji Bandyopadhyay;Sudip Kumar Naskar;Asif Ekbal

Frequent Co-Authors

Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Alexander Gelbukh
Alexander Gelbukh Instituto Politécnico Nacional
Paolo Rosso
Paolo Rosso Universitat Politècnica de València
Soujanya Poria
Soujanya Poria Nanyang Technological University
Erik Cambria
Erik Cambria Nanyang Technological University
Horacio Saggion
Horacio Saggion Pompeu Fabra University
Josef van Genabith
Josef van Genabith Saarland University
Amir Hussain
Amir Hussain Edinburgh Napier University
Andy Way
Andy Way Dublin City University
Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna

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