Vadlamani Ravi

According to our database1, Vadlamani Ravi authored at least 135 papers between 1998 and 2019.

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2019
MapReduce-based fuzzy very fast decision tree for constructing prediction intervals.
IJBDI, 2019

Predicting Indian stock market using the psycho-linguistic features of financial news.
CoRR, 2019

Large Scale Global Optimization by Hybrid Evolutionary Computation.
CoRR, 2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.
CoRR, 2019

CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM.
CoRR, 2019

Sentiment Classification of Indian Banks' Customer Complaints.
Proceedings of the TENCON 2019, 2019

Keystroke based User Authentication using Modified Differential Evolution.
Proceedings of the TENCON 2019, 2019

Keystroke based User Identification with XGBoost.
Proceedings of the TENCON 2019, 2019

A Parallel and Distributed Radial Basis Function Network for Big Data Analytics.
Proceedings of the TENCON 2019, 2019

WiP: Generative Adversarial Network for Oversampling Data in Credit Card Fraud Detection.
Proceedings of the Information Systems Security - 15th International Conference, 2019

Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Evolutionary Computing Applied to Solve Some Operational Issues in Banks.
Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

2018
Analytics in/for cloud-an interdependence: A review.
J. Netw. Comput. Appl., 2018

Soft computing hybrids for FOREX rate prediction: A comprehensive review.
Comput. Oper. Res., 2018

Key generation for plain text in stream cipher via bi-objective evolutionary computing.
Appl. Soft Comput., 2018

Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Differential Evolution Trained Fuzzy Cognitive Map: An Application to Modeling Efficiency in Banking.
Proceedings of the Intelligent Systems Design and Applications, 2018

Hybrid Evolutionary Algorithm for Optimizing Reliability of Complex Systems.
Proceedings of the Intelligent Systems Design and Applications, 2018

Quantile Regression Random Forest Hybrids Based Data Imputation.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

Article Citation Sentiment Analysis Using Deep Learning.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

Sentiment Classification Using Paragraph Vector and Cognitive Big Data Semantics on Apache Spark.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

Irony Detection Using Neural Network Language Model, Psycholinguistic Features and Text Mining.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms.
Swarm Evol. Comput., 2017

A novel automatic satire and irony detection using ensembled feature selection and data mining.
Knowl.-Based Syst., 2017

Fuzzy formal concept analysis based opinion mining for CRM in financial services.
Appl. Soft Comput., 2017

Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network.
Appl. Soft Comput., 2017

Language Identification in Mixed Script.
Proceedings of the 9th annual meeting of the Forum for Information Retrieval Evaluation, 2017

Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

Parallel Evolving Clustering Method for Big Data Analytics Using Apache Spark: Applications to Banking and Physics.
Proceedings of the Big Data Analytics - 5th International Conference, 2017

2016
A survey of the applications of text mining in financial domain.
Knowl.-Based Syst., 2016

Probabilistic neural network based categorical data imputation.
Neurocomputing, 2016

Evolutionary computing applied to customer relationship management: A survey.
Eng. Appl. Artif. Intell., 2016

Dynamic resource demand prediction and allocation in multi-tenant service clouds.
Concurrency and Computation: Practice and Experience, 2016

Online Clustering Based Concept Lattice Reduction.
Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition, 2016

FOREX Rate prediction using Chaos and Quantile Regression Random Forest.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

A novel deep learning architecture for sentiment classification.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Sentiment classification of Hinglish text.
Proceedings of the 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016

Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection.
Proceedings of the International Conference on Informatics and Analytics, 2016

Outlier Detection using Evolutionary Computing.
Proceedings of the International Conference on Informatics and Analytics, 2016

Credit Card Fraud Detection using Big Data Analytics: Use of PSOAANN based One-Class Classification.
Proceedings of the International Conference on Informatics and Analytics, 2016

FOREX Rate Prediction: A Hybrid Approach Using Chaos Theory and Multivariate Adaptive Regression Splines.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

Text Document Classification with PCA and One-Class SVM.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016

2015
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications.
Knowl.-Based Syst., 2015

Counter propagation auto-associative neural network based data imputation.
Inf. Sci., 2015

Data imputation via evolutionary computation, clustering and a neural network.
Neurocomputing, 2015

Multi objective constrained optimisation of data envelopment analysis by differential evolution.
IJIDS, 2015

A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance.
Eng. Appl. Artif. Intell., 2015

Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

Modified Harmony Search Applied to Reliability Optimization of Complex Systems.
Proceedings of the Harmony Search Algorithm, 2015

Auto associative Extreme Learning Machine based non-linear principal component regression for big data applications.
Proceedings of the Tenth International Conference on Digital Information Management, 2015

Language Identification in Mixed Script Social Media Text.
Proceedings of the Post Proceedings of the Workshops at the 7th Forum for Information Retrieval Evaluation, 2015

Malware detection via API calls, topic models and machine learning.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
A new online data imputation method based on general regression auto associative neural network.
Neurocomputing, 2014

Cash demand forecasting in ATMs by clustering and neural networks.
Eur. J. Oper. Res., 2014

Churn prediction using comprehensible support vector machine: An analytical CRM application.
Appl. Soft Comput., 2014

Text Classification Using Ensemble Features Selection and Data Mining Techniques.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Privacy Preserving Data Mining Using General Regression Auto-Associative Neural Network: Application to Regression Problems.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Fraud Detection in Financial Statements Using Evolutionary Computation Based Rule Miners.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2014

Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2014

Association Rule Mining via Evolutionary Multi-objective Optimization.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2014

FOREX Rate Prediction Using Chaos, Neural Network and Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013
Differential evolution trained kernel principal component WNN and kernel binary quantile regression: Application to banking.
Knowl.-Based Syst., 2013

A Computational Intelligence Based Online Data Imputation Method: An Application For Banking.
JIPS, 2013

Machine Learning Techniques Applied to Profile Mobile Banking Users in India.
IJISSS, 2013

Data Mining using Advanced Ant Colony Optimization Algorithm and Application to Bankruptcy Prediction.
IJISSC, 2013

An ant colony optimisation and Nelder-Mead simplex hybrid algorithm for training neural networks: an application to bankruptcy prediction in banks.
IJIDS, 2013

Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA.
Int. J. Hybrid Intell. Syst., 2013

Association rule mining using binary particle swarm optimization.
Eng. Appl. Artif. Intell., 2013

Keratin protein property based classification of mammals and non-mammals using machine learning techniques.
Comp. in Bio. and Med., 2013

Hybrid intelligent systems for predicting software reliability.
Appl. Soft Comput., 2013

Text and Data Mining to Detect Phishing Websites and Spam Emails.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013

Quantification of Balanced Scorecard Using Crisp and Fuzzy Multi Attribute Decision Making: Application to Banking.
Proceedings of the 6th International Conference on Emerging Trends in Engineering and Technology, 2013

Phishing Detection Using PSOAANN Based One-Class Classifier.
Proceedings of the 6th International Conference on Emerging Trends in Engineering and Technology, 2013

Ranking cloud services using fuzzy multi-attribute decision making.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Privacy preserving data mining using particle swarm optimisation trained auto-associative neural network: an application to bankruptcy prediction in banks.
IJDMMM, 2012

Soft computing based imputation and hybrid data and text mining: The case of predicting the severity of phishing alerts.
Expert Syst. Appl., 2012

Kernel Group Method of Data Handling: Application to Regression Problems.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Particle Swarm Optimization Trained Auto Associative Neural Networks Used as Single Class Classifier.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Rule Extraction from DEWNN to Solve Classification and Regression Problems.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

Hybrid classifier based on particle swarm optimization trained auto associative neural networks as non-linear principal component analyzer: Application to banking.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2011
Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems.
IJIDS, 2011

A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance.
IJDMMM, 2011

Bacterial foraging trained wavelet neural networks: application to bankruptcy prediction in banks.
IJDATS, 2011

Colon cancer prediction with genetics profiles using evolutionary techniques.
Expert Syst. Appl., 2011

Detection of financial statement fraud and feature selection using data mining techniques.
Decis. Support Syst., 2011

Forecasting Using Rules Extracted from Privacy Preservation Neural Network.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

A Modified Harmony Search Threshold Accepting Hybrid Optimization Algorithm.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2011

2010
Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP.
Knowl.-Based Syst., 2010

Failure prediction of dotcom companies using neural network-genetic programming hybrids.
Inf. Sci., 2010

Non-linear principal component analysis-based hybrid classifiers: an application to bankruptcy prediction in banks.
IJIDS, 2010

The application of intelligent and soft-computing techniques to software engineering problems: a review.
IJIDS, 2010

Support vector machine and wavelet neural network hybrid: application to bankruptcy prediction in banks.
IJDMMM, 2010

Differential evolution trained radial basis function network: application to bankruptcy prediction in banks.
IJBIC, 2010

Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation.
IJBIC, 2010

Application of Machine Learning Techniques to Predict Software Reliability.
IJAEC, 2010

Web-services classification using intelligent techniques.
Expert Syst. Appl., 2010

Support vector regression based hybrid rule extraction methods for forecasting.
Expert Syst. Appl., 2010

Differential Evolution Based Fuzzy Clustering.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2010

Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2010

Application of fuzzy multi attribute decision making analysis to rank web services.
Proceedings of the 2010 International Conference on Computer Information Systems and Industrial Management Applications, 2010

2009
Application of fuzzyARTMAP for churn prediction in bank credit cards.
IJIDS, 2009

Feature selection and fuzzy rule-based classifier applied to bankruptcy prediction in banks.
IJIDS, 2009

Privacy preservation in data mining using hybrid perturbation methods: an application to bankruptcy prediction in banks.
IJDATS, 2009

Software Reliability Prediction Using Intelligent Techniques: Application to Operational Risk Prediction in Firms.
International Journal of Computational Intelligence and Applications, 2009

Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks.
Expert Syst. Appl., 2009

Failure prediction of dotcom companies using hybrid intelligent techniques.
Expert Syst. Appl., 2009

Software Reliability Prediction Using Group Method of Data Handling.
Proceedings of the Rough Sets, 2009

Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards.
Proceedings of the Rough Sets, 2009

Failure Prediction of Banks using threshold Accepting Trained Kernel Principal Component Neural Network.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Software Cost Estimation using Computational Intelligence Techniques.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Evolutionary Algorithms for Fast and Accurate Watermark Retrieval.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009

Rule extraction from differential evolution trained radial basis function network using genetic algorithms.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2009

2008
Software development cost estimation using wavelet neural networks.
J. Syst. Softw., 2008

Software reliability prediction by soft computing techniques.
J. Syst. Softw., 2008

Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid.
IJIDS, 2008

Predicting credit card customer churn in banks using data mining.
IJDATS, 2008

Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks.
Appl. Soft Comput., 2008

Soft computing system for bank performance prediction.
Appl. Soft Comput., 2008

2007
Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization.
Proceedings of the Intelligence in Reliability Engineering: New Metaheuristics, 2007

Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review.
Eur. J. Oper. Res., 2007

2006
Threshold Accepting Based Fuzzy Clustering Algorithms.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2006

Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier.
Proceedings of the First IEEE International Conference on Digital Information Management (ICDIM), 2006

2005
Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach.
Comput. Ind. Eng., 2005

2004
Optimization of Complex System Reliability by a Modified Great Deluge Algorithm.
APJOR, 2004

2001
A neural network and fuzzy rule base hybrid for pattern classification.
Soft Comput., 2001

Fuzzy rule base generation for classification and its minimization via modified threshold accepting.
Fuzzy Sets Syst., 2001

2000
Fuzzy global optimization of complex system reliability.
IEEE Trans. Fuzzy Systems, 2000

Fuzzy rule based classification with FeatureSelector and modified threshold accepting.
Eur. J. Oper. Res., 2000

Pattern classification with principal component analysis and fuzzy rule bases.
Eur. J. Oper. Res., 2000

1999
Ranking of Indian coals via fuzzy multi attribute decision making.
Fuzzy Sets Syst., 1999

1998
Fuzzy linear fractional goal programming applied to refinery operations planning.
Fuzzy Sets Syst., 1998


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