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Computer Science

D-Index
43
Citations
8016
World Ranking
7973
National Ranking
91

Overview

Balasubramanian Raman is affiliated with the Indian Institute of Technology Roorkee in India and has contributed extensively to the field of Computer Science, with a notable focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Geophysics, and Radiology, Nuclear Medicine and Imaging.

The primary research topics covered by their work include:

  • AI in cancer detection
  • Cutaneous Melanoma Detection and Management
  • Emotion and Mood Recognition
  • Brain Tumor Detection and Classification
  • Seismology and Earthquake Studies
  • Sentiment Analysis and Opinion Mining
  • Anomaly Detection Techniques and Applications

Frequent co-authors associated with Balasubramanian Raman's research include:

  • Pradeep Singh
  • Puneet Kumar
  • Rahul Kumar
  • Himanshu Buckchash

Major publication venues where the scientist has regularly published are:

  • arXiv (Cornell University)
  • Multimedia Tools and Applications
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Statistics in Medicine
  • Biomedical Signal Processing and Control

Among notable recent papers by Balasubramanian Raman are:

  • "Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Towards effective classification of brain hemorrhagic and ischemic stroke using CNN," 2020, Biomedical Signal Processing and Control
  • "Application of a new machine learning model to improve earthquake ground motion predictions," 2023, Natural Hazards
  • "Deep feature-based automatic classification of mammograms," 2020, Medical & Biological Engineering & Computing
  • "A BERT based dual-channel explainable text emotion recognition system," 2022, Neural Networks

Balasubramanian Raman's book publications are predominantly through Springer Science+Business Media, with multiple editions of Computer Vision and Image Processing published between 2020 and 2022. Additional books have been published by Springer International Publishing and Springer Nature, covering topics such as deep learning with tensors and machine learning applications in cybernetics and cognition.

Best Publications

  • Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval

    S. Murala;R. P. Maheshwari;R. Balasubramanian

  • A new robust reference watermarking scheme based on DWT-SVD

    Gaurav Bhatnagar;Balasubramanian Raman

  • Computing hierarchical curve-skeletons of 3D objects

    Nicu D. Cornea;Deborah Silver;Xiaosong Yuan;Raman Balasubramanian

  • Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking

    Unknown

  • A chaotic system based fragile watermarking scheme for image tamper detection

    Sanjay Rawat;Balasubramanian Raman

  • A blind watermarking algorithm based on fractional Fourier transform and visual cryptography

    Sanjay Rawat;Balasubramanian Raman

  • Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers

    Rahul Kumar;Ridhi Arora;Vipul Bansal;Vinodh J Sahayasheela

  • Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval

    Manisha Verma;Balasubramanian Raman

  • Discrete fractional wavelet transform and its application to multiple encryption

    Gaurav Bhatnagar;Q.M. Jonathan Wu;Balasubramanian Raman

  • Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • MIFH: A Machine Intelligence Framework for Heart Disease Diagnosis

    Ankur Gupta;Rahul Kumar;Harkirat Singh Arora;Balasubramanian Raman

  • Local extrema co-occurrence pattern for color and texture image retrieval

    Manisha Verma;Balasubramanian Raman;Subrahmanyam Murala

  • Local tri-directional patterns

    Manisha Verma;Balasubramanian Raman

  • Towards effective classification of brain hemorrhagic and ischemic stroke using CNN

    Anjali Gautam;Balasubramanian Raman

  • Modified color motif co-occurrence matrix for image indexing and retrieval

    M. Subrahmanyam;Q. M. Jonathan Wu;R. P. Maheshwari;R. Balasubramanian

  • Prediction of advertisement preference by fusing EEG response and sentiment analysis.

    Himaanshu Gauba;Pradeep Kumar;Partha Pratim Roy;Priyanka Singh

  • Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval

    Manisha Verma;Balasubramanian Raman

  • Combining Neural, Statistical and External Features for Fake News Stance Identification

    Gaurav Bhatt;Aman Sharma;Shivam Sharma;Ankush Nagpal

  • Combinational domain encryption for still visual data

    Nidhi Taneja;Balasubramanian Raman;Indra Gupta

  • Deep feature–based automatic classification of mammograms

    Ridhi Arora;Prateek Kumar Rai;Balasubramanian Raman

  • Selective image encryption in fractional wavelet domain

    Nidhi Taneja;Balasubramanian Raman;Indra Gupta

Frequent Co-Authors

Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Rama Bhargava
Rama Bhargava Indian Institute of Technology Roorkee
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Brajesh Kumar Kaushik
Brajesh Kumar Kaushik Indian Institute of Technology Roorkee
Subrahmanyam Murala
Subrahmanyam Murala Indian Institute of Technology Ropar
Pradeep Kumar
Pradeep Kumar Indian Institute of Technology Roorkee
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Christian Micheloni
Christian Micheloni University of Udine
Sahil Garg
Sahil Garg Canadian University Dubai
R. Jayaganthan
R. Jayaganthan Indian Institute of Technology Madras

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