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Computer Science

D-Index
45
Citations
11095
World Ranking
7082
National Ranking
73

Overview

Vadlamani Ravi is affiliated with the Institute for Development and Research in Banking Technology in India. Their research concentrates predominantly in the field of Computer Science, with a specific focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Economics and Econometrics, and Information Systems.

Their scholarly work covers a wide array of topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Stock Market Forecasting Methods
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Imbalanced Data Classification Techniques
  • Anomaly Detection Techniques and Applications
  • Evolutionary Algorithms and Applications

Recent publications by Vadlamani Ravi include:

  • "Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks," 2020, SN Computer Science
  • "High utility itemset mining using binary differential evolution: An application to customer segmentation," 2021, Expert Systems with Applications
  • "The Next Wave of CRM Innovation: Implications for Research, Teaching, and Practice," 2020, Communications of the Association for Information Systems
  • "ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks," 2022, Expert Systems with Applications
  • "FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance," 2022, Neural Computing and Applications

Vadlamani Ravi frequently publishes in venues such as:

  • arXiv (Cornell University)
  • SN Computer Science
  • Swarm and Evolutionary Computation
  • Expert Systems with Applications
  • Cluster Computing

The researcher collaborates with various coauthors, notably including:

  • Yelleti Vivek
  • P. Radha Krishna
  • Gutha Jaya Krishna
  • Vadlamani Madhav
  • Akhilesh Kumar Gangwar

Best Publications

  • Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review

    P. Ravi Kumar;Vadlamani Ravi

  • A survey on opinion mining and sentiment analysis

    Kumar Ravi;Vadlamani Ravi

  • Detection of financial statement fraud and feature selection using data mining techniques

    P. Ravisankar;V. Ravi;G. Raghava Rao;I. Bose

  • A review of deep learning with special emphasis on architectures, applications and recent trends

    Saptarshi Sengupta;Sanchita Basak;Pallabi Saikia;Sayak Paul

  • A survey of the applications of text mining in financial domain

    B. Shravan Kumar;Vadlamani Ravi

  • Differential evolution trained wavelet neural networks

    Nikunj Chauhan;V. Ravi;D. Karthik Chandra

  • Nonequilibrium simulated-annealing algorithm applied to reliability optimization of complex systems

    V. Ravi;B.S.N. Murty;J. Reddy

  • Churn prediction using comprehensible support vector machine: An analytical CRM application

    M.A.H. Farquad;M.A.H. Farquad;Vadlamani Ravi;S. Bapi Raju

  • Soft computing system for bank performance prediction

    V. Ravi;H. Kurniawan;Peter Nwee Kok Thai;P. Ravi Kumar

  • Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning

    Akhilesh Kumar Gangwar;Vadlamani Ravi

  • Software development cost estimation using wavelet neural networks

    K. Vinay Kumar;V. Ravi;Mahil Carr;N. Raj Kiran

  • Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network

    Dadabada Pradeepkumar;Dadabada Pradeepkumar;Vadlamani Ravi

  • Fuzzy global optimization of complex system reliability

    V. Ravi;P.J. Reddy;H.-J. Zimmermann

  • Predicting credit card customer churn in banks using data mining

    Dudyala Anil Kumar;V. Ravi

  • Software reliability prediction by soft computing techniques

    N Raj Kiran;V Ravi

  • Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks

    V. Ravi;C. Pramodh

  • Association rule mining using binary particle swarm optimization

    K. N. V. D. Sarath;Vadlamani Ravi

  • A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance

    G. Ganesh Sundarkumar;Vadlamani Ravi

  • Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms

    Vadlamani Ravi;Dadabada Pradeepkumar;Dadabada Pradeepkumar;Kalyanmoy Deb

  • Cash demand forecasting in ATMs by clustering and neural networks

    Kamini Venkatesh;Vadlamani Ravi;Anita Prinzie;Dirk Van den Poel

Frequent Co-Authors

Hans-Jürgen Zimmermann
Hans-Jürgen Zimmermann RWTH Aachen University
Indranil Bose
Indranil Bose Indian Institute of Management Calcutta
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Venu Govindaraju
Venu Govindaraju University at Buffalo, State University of New York
Dirk Van den Poel
Dirk Van den Poel Ghent University
Swagatam Das
Swagatam Das Indian Statistical Institute
Dipankar Dasgupta
Dipankar Dasgupta University of Memphis
D. Nagesh Kumar
D. Nagesh Kumar Indian Institute of Science
Bijaya Ketan Panigrahi
Bijaya Ketan Panigrahi Indian Institute of Technology Delhi

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