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Computer Science

D-Index
41
Citations
8875
World Ranking
8709
National Ranking
95

Overview

Sriparna Saha is affiliated with the Indian Institute of Technology Patna in India. Their research focus lies predominantly within the domain of Computer Science, with a total of 299 publications spanning various subfields.

The primary subfields of study in Sriparna Saha's work include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Information Systems
  • Social Psychology

Their research topics demonstrate a concentration on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Speech and Dialogue Systems
  • Text and Document Classification Technologies
  • Biomedical Text Mining and Ontologies
  • Sentiment Analysis and Opinion Mining

Sriparna Saha has contributed to several notable publications. The following papers represent a sample of their recent scholarly output:

  • Prediction of protein-protein interaction using graph neural networks, 2022, Scientific Reports
  • A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications, 2024, arXiv (Cornell University)
  • CyberBERT: BERT for cyberbullying identification, 2020, Multimedia Systems
  • Multi-objective PSO based online feature selection for multi-label classification, 2021, Knowledge-Based Systems
  • Multi-objective optimization techniques: a survey of the state-of-the-art and applications, 2021, The European Physical Journal Special Topics

The frequent publication venues where Sriparna Saha's work appears include:

  • arXiv (Cornell University)
  • ACM Transactions on Asian and Low-Resource Language Information Processing
  • Scientific Reports
  • Expert Systems with Applications
  • SSRN Electronic Journal

Frequent co-authors collaborating with Sriparna Saha are:

  • Pushpak Bhattacharyya
  • Tulika Saha
  • Abhisek Tiwari
  • Santosh Kumar Mishra
  • Dipanjyoti Paul

Best Publications

  • A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA

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

  • Prediction of protein–protein interaction using graph neural networks

    Unknown

  • 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

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

    Sanghamitra Bandyopadhyay;Sriparna Saha

  • A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

    Unknown

  • A symmetry based multiobjective clustering technique for automatic evolution of clusters

    Sriparna Saha;Sanghamitra Bandyopadhyay

  • Multi-objective PSO based online feature selection for multi-label classification

    Unknown

  • Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition

    Sriparna Saha;Asif Ekbal

  • New cuckoo search algorithms with enhanced exploration and exploitation properties

    Unknown

  • A generalized automatic clustering algorithm in a multiobjective framework

    Sriparna Saha;Sanghamitra Bandyopadhyay

  • MRI brain image segmentation by fuzzy symmetry based genetic clustering technique

    S. Saha;S. Bandyopadhyay

  • Multitask Representation Learning for Multimodal Estimation of Depression Level

    Syed Arbaaz Qureshi;Sriparna Saha;Mohammed Hasanuzzaman;Gael Dias

  • Unsupervised Classification

    Unknown

  • Application of a New Symmetry-Based Cluster Validity Index for Satellite Image Segmentation

    S. Saha;S. Bandyopadhyay

  • Multi-objective optimization techniques: a survey of the state-of-the-art and applications

    Unknown

  • Incorporation of multimodal multiobjective optimization in designing a filter based feature selection technique

    Unknown

  • A study on emotion recognition from body gestures using Kinect sensor

    Sriparna Saha;Shreyasi Datta;Amit Konar;Ramadoss Janarthanan

  • Brain image segmentation using semi-supervised clustering

    Sriparna Saha;Abhay Kumar Alok;Asif Ekbal

  • Weighted Vote-Based Classifier Ensemble for Named Entity Recognition: A Genetic Algorithm-Based Approach

    Asif Ekbal;Sriparna Saha

  • Some Single- and Multiobjective Optimization Techniques

    Sanghamitra Bandyopadhyay;Sriparna Saha

  • Some connectivity based cluster validity indices

    Sriparna Saha;Sanghamitra Bandyopadhyay

  • Gesture Recognition from Indian Classical Dance Using Kinect Sensor

    Sriparna Saha;Shreya Ghosh;Amit Konar;Atulya K. Nagar

  • A new point symmetry based fuzzy genetic clustering technique for automatic evolution of clusters

    Sriparna Saha;Sanghamitra Bandyopadhyay

  • Extractive single document summarization using multi-objective optimization: Exploring self-organized differential evolution, grey wolf optimizer and water cycle algorithm

    Naveen Saini;Sriparna Saha;Anubhav Jangra;Pushpak Bhattacharyya

  • Feature assisted stacked attentive shortest dependency path based Bi-LSTM model for protein–protein interaction

    Shweta Yadav;Asif Ekbal;Sriparna Saha;Ankit Kumar

  • A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies

    Asif Ekbal;Sriparna Saha

  • Towards Emotion-aided Multi-modal Dialogue Act Classification.

    Tulika Saha;Aditya Prakash Patra;Sriparna Saha;Pushpak Bhattacharyya

Frequent Co-Authors

Amit Konar
Amit Konar Jadavpur University

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