Fuzzy linear fractional goal programming applied to refinery operations planning. - Vadlamani Ravi; P. J. Reddy (Fuzzy Sets Syst., 1998)

Ranking of Indian coals via fuzzy multi attribute decision making. - Vadlamani Ravi; P. J. Reddy (Fuzzy Sets Syst., 1999)

Pattern classification with principal component analysis and fuzzy rule bases. - Vadlamani Ravi; P. J. Reddy; Hans-Jürgen Zimmermann (Eur. J. Oper. Res., 2000)

Fuzzy rule based classification with FeatureSelector and modified threshold accepting. - Vadlamani Ravi; Hans-Jürgen Zimmermann (Eur. J. Oper. Res., 2000)

Fuzzy global optimization of complex system reliability. - Vadlamani Ravi; P. J. Reddy; Hans-Jürgen Zimmermann (IEEE Trans. Fuzzy Syst., 2000)

Fuzzy rule base generation for classification and its minimization via modified threshold accepting. - Vadlamani Ravi; P. J. Reddy; Hans-Jürgen Zimmermann (Fuzzy Sets Syst., 2001)

A neural network and fuzzy rule base hybrid for pattern classification. - Vadlamani Ravi; Hans-Jürgen Zimmermann (Soft Comput., 2001)

Optimization of Complex System Reliability by a Modified Great Deluge Algorithm. - Vadlamani Ravi (Asia Pac. J. Oper. Res., 2004)

Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. - Vadlamani Ravi; Ravi Shankar 001; M. K. Tiwari (Comput. Ind. Eng., 2005)

Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier. - P. Ravi Kumar; Vadlamani Ravi (ICDIM, 2006)

Threshold Accepting Based Fuzzy Clustering Algorithms. - Vadlamani Ravi; Bin Ma 006; P. Ravi Kumar (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review. - P. Ravi Kumar; Vadlamani Ravi (Eur. J. Oper. Res., 2007)

Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization. - Vadlamani Ravi (Intelligence in Reliability Engineering, 2007)

Soft computing system for bank performance prediction. - Vadlamani Ravi; H. Kurniawan; Peter Nwee Kok Thai; P. Ravi Kumar (Appl. Soft Comput., 2008)

Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks. - Vadlamani Ravi; Chelimala Pramodh (Appl. Soft Comput., 2008)

Predicting credit card customer churn in banks using data mining. - Dudyala Anil Kumar; Vadlamani Ravi (Int. J. Data Anal. Tech. Strateg., 2008)

Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid. - Chelimala Pramodh; Vadlamani Ravi; T. Nagabhushanam (Int. J. Inf. Decis. Sci., 2008)

Software reliability prediction by soft computing techniques. - N. Raj Kiran; Vadlamani Ravi (J. Syst. Softw., 2008)

Software development cost estimation using wavelet neural networks. - K. Vinay Kumar; Vadlamani Ravi; Mahil Carr; N. Raj Kiran (J. Syst. Softw., 2008)

Rule extraction from differential evolution trained radial basis function network using genetic algorithms. - Nekuri Naveen; Vadlamani Ravi; C. Raghavendra Rao 001 (CASE, 2009)

Evolutionary Algorithms for Fast and Accurate Watermark Retrieval. - E. V. Gopal; Munaga V. N. K. Prasad; Vadlamani Ravi (NaBIC, 2009)

Software Cost Estimation using Computational Intelligence Techniques. - Jankisharan Pahariya; Vadlamani Ravi; Mahil Carr (NaBIC, 2009)

Failure Prediction of Banks using threshold Accepting Trained Kernel Principal Component Neural Network. - Pediredla Ravisankar; Vadlamani Ravi (NaBIC, 2009)

Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards. - M. A. H. Farquad; Vadlamani Ravi; S. Bapi Raju (RSFDGrC, 2009)

Software Reliability Prediction Using Group Method of Data Handling. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (RSFDGrC, 2009)

Failure prediction of dotcom companies using hybrid intelligent techniques. - Devulapalli Karthik Chandra; Vadlamani Ravi; Indranil Bose (Expert Syst. Appl., 2009)

Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks. - Nikunj Chauhan; Vadlamani Ravi; Devulapalli Karthik Chandra (Expert Syst. Appl., 2009)

Software Reliability Prediction Using Intelligent Techniques: Application to Operational Risk Prediction in Firms. - Vadlamani Ravi; Nikunj Chauhan; N. Raj Kiran (Int. J. Comput. Intell. Appl., 2009)

Privacy preservation in data mining using hybrid perturbation methods: an application to bankruptcy prediction in banks. - Kunta Ramu; Vadlamani Ravi (Int. J. Data Anal. Tech. Strateg., 2009)

Feature selection and fuzzy rule-based classifier applied to bankruptcy prediction in banks. - Devulapalli Karthik Chandra; Vadlamani Ravi (Int. J. Inf. Decis. Sci., 2009)

Application of fuzzyARTMAP for churn prediction in bank credit cards. - Nekuri Naveen; Vadlamani Ravi; Dudyala Anil Kumar (Int. J. Inf. Decis. Sci., 2009)

Application of fuzzy multi attribute decision making analysis to rank web services. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (CISIM, 2010)

Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM. - M. A. H. Farquad; Vadlamani Ravi; S. Bapi Raju (KES (1), 2010)

Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards. - Nekuri Naveen; Vadlamani Ravi; C. Raghavendra Rao 001 (KES (1), 2010)

Differential Evolution Based Fuzzy Clustering. - Vadlamani Ravi; Nupur Aggarwal; Nikunj Chauhan (SEMCCO, 2010)

Support vector regression based hybrid rule extraction methods for forecasting. - M. A. H. Farquad; Vadlamani Ravi; S. Bapi Raju (Expert Syst. Appl., 2010)

Web-services classification using intelligent techniques. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (Expert Syst. Appl., 2010)

Application of Machine Learning Techniques to Predict Software Reliability. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (Int. J. Appl. Evol. Comput., 2010)

Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation. - Nikunj Chauhan; Vadlamani Ravi (Int. J. Bio Inspired Comput., 2010)

Differential evolution trained radial basis function network: application to bankruptcy prediction in banks. - Nekuri Naveen; Vadlamani Ravi; C. Raghavendra Rao 001; Nikunj Chauhan (Int. J. Bio Inspired Comput., 2010)

Support vector machine and wavelet neural network hybrid: application to bankruptcy prediction in banks. - Devulapalli Karthik Chandra; Vadlamani Ravi; Pediredla Ravisankar (Int. J. Data Min. Model. Manag., 2010)

The application of intelligent and soft-computing techniques to software engineering problems: a review. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (Int. J. Inf. Decis. Sci., 2010)

Non-linear principal component analysis-based hybrid classifiers: an application to bankruptcy prediction in banks. - Vadlamani Ravi; Chelimala Pramodh (Int. J. Inf. Decis. Sci., 2010)

Failure prediction of dotcom companies using neural network-genetic programming hybrids. - Pediredla Ravisankar; Vadlamani Ravi; Indranil Bose (Inf. Sci., 2010)

Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP. - Pediredla Ravisankar; Vadlamani Ravi (Knowl. Based Syst., 2010)

A Modified Harmony Search Threshold Accepting Hybrid Optimization Algorithm. - Yeturu Maheshkumar; Vadlamani Ravi (MIWAI, 2011)

Forecasting Using Rules Extracted from Privacy Preservation Neural Network. - Nekuri Naveen; Vadlamani Ravi; Chillarige Raghavendra Rao (MIWAI, 2011)

Detection of financial statement fraud and feature selection using data mining techniques. - Pediredla Ravisankar; Vadlamani Ravi; G. Raghava Rao; Indranil Bose (Decis. Support Syst., 2011)

Colon cancer prediction with genetics profiles using evolutionary techniques. - Ashwinikumar Kulkarni; B. S. C. Naveen Kumar; Vadlamani Ravi; Upadhyayula Suryanarayana Murthy (Expert Syst. Appl., 2011)

Bacterial foraging trained wavelet neural networks: application to bankruptcy prediction in banks. - Paramjeet; Vadlamani Ravi (Int. J. Data Anal. Tech. Strateg., 2011)

A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance. - Madireddi Vasu; Vadlamani Ravi (Int. J. Data Min. Model. Manag., 2011)

Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems. - Mohammad Abdul Haque Farquad; Vadlamani Ravi; S. Bapi Raju (Int. J. Inf. Decis. Sci., 2011)

Hybrid classifier based on particle swarm optimization trained auto associative neural networks as non-linear principal component analyzer: Application to banking. - Vadlamani Ravi; Nekuri Naveen; Manideepto-Das (ISDA, 2012)

Rule Extraction from DEWNN to Solve Classification and Regression Problems. - Nekuri Naveen; Vadlamani Ravi; Chillarige Raghavendra Rao (SEMCCO, 2012)

Particle Swarm Optimization Trained Auto Associative Neural Networks Used as Single Class Classifier. - Vadlamani Ravi; Nekuri Naveen; Manideepto-Das (SEMCCO, 2012)

Kernel Group Method of Data Handling: Application to Regression Problems. - Kalam Narendar Reddy; Vadlamani Ravi (SEMCCO, 2012)

Soft computing based imputation and hybrid data and text mining: The case of predicting the severity of phishing alerts. - Kancherla Jonah Nishanth; Vadlamani Ravi; Narravula Ankaiah; Indranil Bose (Expert Syst. Appl., 2012)

Privacy preserving data mining using particle swarm optimisation trained auto-associative neural network: an application to bankruptcy prediction in banks. - Paramjeet; Vadlamani Ravi; Nekuri Naveen; Chillarige Raghavendra Rao (Int. J. Data Min. Model. Manag., 2012)

Ranking cloud services using fuzzy multi-attribute decision making. - Uppala Shivakumar; Vadlamani Ravi; G. R. Gangadharan (FUZZ-IEEE, 2013)

Phishing Detection Using PSOAANN Based One-Class Classifier. - Mayank Pandey; Vadlamani Ravi (ICETET, 2013)

Quantification of Balanced Scorecard Using Crisp and Fuzzy Multi Attribute Decision Making: Application to Banking. - Uppala Shivakumar; Vadlamani Ravi; T. R. Venkateswaran (ICETET, 2013)

Text and Data Mining to Detect Phishing Websites and Spam Emails. - Mayank Pandey; Vadlamani Ravi (SEMCCO (2), 2013)

Hybrid intelligent systems for predicting software reliability. - Ramakanta Mohanty; Vadlamani Ravi; Manas Ranjan Patra (Appl. Soft Comput., 2013)

Keratin protein property based classification of mammals and non-mammals using machine learning techniques. - Amit Kumar Banerjee; Vadlamani Ravi; U. S. N. Murty; Anirudh P. Shanbhag; V. Lakshmi Prasanna (Comput. Biol. Medicine, 2013)

Association rule mining using binary particle swarm optimization. - K. N. V. D. Sarath; Vadlamani Ravi (Eng. Appl. Artif. Intell., 2013)

Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA. - Vadlamani Ravi; Nekuri Naveen; Mayank Pandey (Int. J. Hybrid Intell. Syst., 2013)

An ant colony optimisation and Nelder-Mead simplex hybrid algorithm for training neural networks: an application to bankruptcy prediction in banks. - Sharma Nigib; Arun Nampally; Vadlamani Ravi (Int. J. Inf. Decis. Sci., 2013)

Data Mining using Advanced Ant Colony Optimization Algorithm and Application to Bankruptcy Prediction. - Vishal Arora; Vadlamani Ravi (Int. J. Inf. Syst. Soc. Chang., 2013)

Machine Learning Techniques Applied to Profile Mobile Banking Users in India. - Mahil Carr; Vadlamani Ravi; G. Sridharan Reddy; D. Veranna (Int. J. Inf. Syst. Serv. Sect., 2013)

A Computational Intelligence Based Online Data Imputation Method: An Application For Banking. - Kancherla Jonah Nishanth; Vadlamani Ravi (J. Inf. Process. Syst., 2013)

Differential evolution trained kernel principal component WNN and kernel binary quantile regression: Application to banking. - Kalam Narendar Reddy; Vadlamani Ravi (Knowl. Based Syst., 2013)

FOREX Rate Prediction Using Chaos, Neural Network and Particle Swarm Optimization. - Dadabada Pradeepkumar; Vadlamani Ravi (ICSI (2), 2014)

Association Rule Mining via Evolutionary Multi-objective Optimization. - Pradeep Ganghishetti; Vadlamani Ravi (MIWAI, 2014)

Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems. - Vadlamani Ravi; Anurag Sharma (MIWAI, 2014)

Fraud Detection in Financial Statements Using Evolutionary Computation Based Rule Miners. - Pradeep Ganghishetti; Vadlamani Ravi; Nandan Kaushik; B. L. Deekshatulu; Indranil Bose; A. Aditya (SEMCCO, 2014)

A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series. - Dadabada Pradeepkumar; Maneesh Bhunwal; Vadlamani Ravi (SEMCCO, 2014)

Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier. - Vadlamani Ravi; Ranabir De (SEMCCO, 2014)

Privacy Preserving Data Mining Using General Regression Auto-Associative Neural Network: Application to Regression Problems. - Vadlamani Ravi; Amit Yadav (SEMCCO, 2014)

Text Classification Using Ensemble Features Selection and Data Mining Techniques. - B. Shravankumar; Vadlamani Ravi (SEMCCO, 2014)

Churn prediction using comprehensible support vector machine: An analytical CRM application. - M. A. H. Farquad; Vadlamani Ravi; S. Bapi Raju (Appl. Soft Comput., 2014)

Cash demand forecasting in ATMs by clustering and neural networks. - Kamini Venkatesh; Vadlamani Ravi; Anita Prinzie; Dirk Van den Poel (Eur. J. Oper. Res., 2014)

A new online data imputation method based on general regression auto associative neural network. - Vadlamani Ravi; Mannepalli Krishna (Neurocomputing, 2014)

Malware detection via API calls, topic models and machine learning. - G. Ganesh Sundarkumar; Vadlamani Ravi; Ifeoma Nwogu; Venu Govindaraju (CASE, 2015)

Language Identification in Mixed Script Social Media Text. - S. Nagesh Bhattu; Vadlamani Ravi (FIRE Workshops, 2015)

Auto associative Extreme Learning Machine based non-linear principal component regression for big data applications. - Vadali Tejasviram; Harshvardhan Solanki; Vadlamani Ravi; Sk. Kamaruddin (ICDIM, 2015)

Modified Harmony Search Applied to Reliability Optimization of Complex Systems. - Gutha Jaya Krishna; Vadlamani Ravi (ICHSA, 2015)

Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. - Vadlamani Srikrishna; Rahul Ghosh; Vadlamani Ravi; Kalyanmoy Deb (MIWAI, 2015)

A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance. - G. Ganesh Sundarkumar; Vadlamani Ravi (Eng. Appl. Artif. Intell., 2015)

Multi objective constrained optimisation of data envelopment analysis by differential evolution. - Narravula Ankaiah; Vadlamani Ravi (Int. J. Inf. Decis. Sci., 2015)

Data imputation via evolutionary computation, clustering and a neural network. - Chandan Gautam; Vadlamani Ravi (Neurocomputing, 2015)

Counter propagation auto-associative neural network based data imputation. - Chandan Gautam; Vadlamani Ravi (Inf. Sci., 2015)

A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. - Kumar Ravi 001; Vadlamani Ravi (Knowl. Based Syst., 2015)

Text Document Classification with PCA and One-Class SVM. - B. Shravan Kumar; Vadlamani Ravi (FICTA (1), 2016)

FOREX Rate Prediction: A Hybrid Approach Using Chaos Theory and Multivariate Adaptive Regression Splines. - Dadabada Pradeepkumar; Vadlamani Ravi (FICTA (1), 2016)

Credit Card Fraud Detection using Big Data Analytics: Use of PSOAANN based One-Class Classification. - Sk. Kamaruddin; Vadlamani Ravi (ICIA, 2016)

Outlier Detection using Evolutionary Computing. - Gutha Jaya Krishna; Vadlamani Ravi (ICIA, 2016)

Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection. - Kshitij Tayal; Vadlamani Ravi (ICIA, 2016)

Cyber fraud detection using evolving spiking neural network. - Amit Soni Arya; Vadlamani Ravi; Vadali Tejasviram; Neelava Sengupta; Nikola K. Kasabov (ICIIS, 2016)

Sentiment classification of Hinglish text. - Kumar Ravi 001; Vadlamani Ravi (RAIT, 2016)

A novel deep learning architecture for sentiment classification. - Rahul Ghosh; Kumar Ravi 001; Vadlamani Ravi (RAIT, 2016)

FOREX Rate prediction using Chaos and Quantile Regression Random Forest. - Dadabada Pradeepkumar; Vadlamani Ravi (RAIT, 2016)

Online Clustering Based Concept Lattice Reduction. - Kumar Ravi 001; Vadlamani Ravi (SoCPaR, 2016)

Dynamic resource demand prediction and allocation in multi-tenant service clouds. - Manish Verma; G. R. Gangadharan; Nanjangud C. Narendra; Vadlamani Ravi; Vidyadhar Inamdar; Lakshmi Ramachandran; Rodrigo N. Calheiros; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2016)

Evolutionary computing applied to customer relationship management: A survey. - Gutha Jaya Krishna; Vadlamani Ravi (Eng. Appl. Artif. Intell., 2016)

Probabilistic neural network based categorical data imputation. - Kancherla Jonah Nishanth; Vadlamani Ravi (Neurocomputing, 2016)

A survey of the applications of text mining in financial domain. - B. Shravankumar; Vadlamani Ravi (Knowl. Based Syst., 2016)

Parallel Evolving Clustering Method for Big Data Analytics Using Apache Spark: Applications to Banking and Physics. - Sk. Kamaruddin; Vadlamani Ravi; Pritman Mayank (BDA, 2017)

Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges. - Vadlamani Ravi; Sk. Kamaruddin (BDA, 2017)

LDA Based Feature Selection for Document Clustering. - B. Shravan Kumar; Vadlamani Ravi (COMPUTE, 2017)

Prediction Intervals via Support Vector-quantile Regression Random Forest Hybrid. - Vadlamani Ravi; Vadali Tejasviram; Anurag Sharma; Rashmi Ranjan Khansama (COMPUTE, 2017)

Language Identification in Mixed Script. - Nagesh Bhattu Sristy; N. Satya Krishna; Boora Shiva Krishna; Vadlamani Ravi (FIRE, 2017)

Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network. - Dadabada Pradeepkumar; Vadlamani Ravi (Appl. Soft Comput., 2017)

Fuzzy formal concept analysis based opinion mining for CRM in financial services. - Kumar Ravi 001; Vadlamani Ravi; P. Sree Rama Krishna Prasad (Appl. Soft Comput., 2017)

A novel automatic satire and irony detection using ensembled feature selection and data mining. - Kumar Ravi 001; Vadlamani Ravi (Knowl. Based Syst., 2017)

Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. - Vadlamani Ravi; Dadabada Pradeepkumar; Kalyanmoy Deb (Swarm Evol. Comput., 2017)

Irony Detection Using Neural Network Language Model, Psycholinguistic Features and Text Mining. - Kumar Ravi 001; Vadlamani Ravi (ICCI*CC, 2018)

Sentiment Classification Using Paragraph Vector and Cognitive Big Data Semantics on Apache Spark. - Kumar Ravi 001; Vadlamani Ravi; B. Shivakrishna (ICCI*CC, 2018)

Article Citation Sentiment Analysis Using Deep Learning. - Kumar Ravi 001; Srirangaraj Setlur; Vadlamani Ravi; Venu Govindaraju (ICCI*CC, 2018)

A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection. - B. Shravan Kumar; Vadlamani Ravi (ICCI*CC, 2018)

Quantile Regression Random Forest Hybrids Based Data Imputation. - Manish Yadav; Vadlamani Ravi (ICCI*CC, 2018)

Hybrid Evolutionary Algorithm for Optimizing Reliability of Complex Systems. - Gutha Jaya Krishna; Vadlamani Ravi (ISDA (2), 2018)

Differential Evolution Trained Fuzzy Cognitive Map: An Application to Modeling Efficiency in Banking. - Gutha Jaya Krishna; Meesala Smruthi; Vadlamani Ravi; Bhamidipati Shandilya (ISDA (2), 2018)

Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids. - Bhaskar Dhariyal; Vadlamani Ravi; Kumar Ravi 001 (SSCI, 2018)

Key generation for plain text in stream cipher via bi-objective evolutionary computing. - Gutha Jaya Krishna; Vadlamani Ravi; S. Nagesh Bhattu (Appl. Soft Comput., 2018)

Soft computing hybrids for FOREX rate prediction: A comprehensive review. - Dadabada Pradeepkumar; Vadlamani Ravi (Comput. Oper. Res., 2018)

Analytics in/for cloud-an interdependence: A review. - Kumar Ravi 001; Yogesh Khandelwal; Boora Shiva Krishna; Vadlamani Ravi (J. Netw. Comput. Appl., 2018)

Evolutionary Computing Applied to Solve Some Operational Issues in Banks. - Gutha Jaya Krishna; Vadlamani Ravi (Optimization in Industry, 2019)

Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking. - Gutha Jaya Krishna; Vadlamani Ravi (COMAD/CODS, 2019)

WiP: Generative Adversarial Network for Oversampling Data in Credit Card Fraud Detection. - Akhilesh Gangwar; Vadlamani Ravi (ICISS, 2019)

Anomaly Detection Using Modified Differential Evolution: An Application to Banking and Insurance. - Gutha Jaya Krishna; Vadlamani Ravi (SoCPaR, 2019)

A Parallel and Distributed Radial Basis Function Network for Big Data Analytics. - Sk. Kamaruddin; Vadlamani Ravi (TENCON, 2019)

Keystroke based User Identification with XGBoost. - Gutha Jaya Krishna; Harshal Jaiswal; P. Sai Ravi Teja; Vadlamani Ravi (TENCON, 2019)

Keystroke based User Authentication using Modified Differential Evolution. - Gutha Jaya Krishna; Vadlamani Ravi (TENCON, 2019)

Sentiment Classification of Indian Banks' Customer Complaints. - Gutha Jaya Krishna; Vadlamani Ravi; Bheemidi Vikram Reddy; Mohammad Zaheeruddin; Harshal Jaiswal; P. Sai Ravi Teja; Rohit Gavval (TENCON, 2019)

CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM. - Rohit Gavval; Vadlamani Ravi; Kalavala Revanth Harshal; Akhilesh Gangwar; Kumar Ravi 001 (CoRR, 2019)

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Richard Alan Peters (CoRR, 2019)

Large Scale Global Optimization by Hybrid Evolutionary Computation. - Gutha Jaya Krishna; Vadlamani Ravi (CoRR, 2019)

Predicting Indian stock market using the psycho-linguistic features of financial news. - B. Shravan Kumar; Vadlamani Ravi; Rishabh Miglani (CoRR, 2019)

MapReduce-based fuzzy very fast decision tree for constructing prediction intervals. - Ojha Manish Kumar; Kumar Ravi 001; Vadlamani Ravi (Int. J. Big Data Intell., 2019)

Developing Dialog Manager in Chatbots via Hybrid Deep Learning Architectures. - Basit Ali; Vadlamani Ravi (FICTA (2), 2020)

Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning. - Akhilesh Kumar Gangwar; Vadlamani Ravi (FICTA (1), 2020)

Machine Learning and Feature Selection Based Ransomware Detection Using Hexacodes. - Bheemidi Vikram Reddy; Gutha Jaya Krishna; Vadlamani Ravi; Dipankar Dasgupta (FICTA (1), 2020)

Field Extraction and Logo Recognition on Indian Bank Cheques Using Convolution Neural Networks. - Gopireddy Vishnuvardhan; Vadlamani Ravi; Amiya Ranjan Mallik (FICTA (2), 2020)

Chaos, Machine Learning and Deep Learning based Hybrid to forecast Consumer Price Index Inflation in India. - Sarveswararao Vangala; Vadlamani Ravi (SSCI, 2020)

The Next Wave of CRM Innovation: Implications for Research, Teaching, and Practice. - Sachithra Lokuge; Darshana Sedera; Thilini Ariyachandra; Saj Kumar; Vadlamani Ravi (Commun. Assoc. Inf. Syst., 2020)

Evolutionary Multi-Objective Optimization Framework for Mining Association Rules. - Shaik Tanveer Ul Huq; Vadlamani Ravi (CoRR, 2020)

Article citation study: Context enhanced citation sentiment detection. - Vishal Vyas; Kumar Ravi 001; Vadlamani Ravi; V. Uma; Srirangaraj Setlur; Venu Govindaraju (CoRR, 2020)

ATM Cash demand forecasting in an Indian Bank with chaos and deep learning. - Sarveswararao Vangala; Vadlamani Ravi (CoRR, 2020)

Mining top high utility association rules using Binary Differential Evolution. - Gutha Jaya Krishna; Vadlamani Ravi (Eng. Appl. Artif. Intell., 2020)

A review of deep learning with special emphasis on architectures, applications and recent trends. - Saptarshi Sengupta; Sanchita Basak; Pallabi Saikia; Sayak Paul; Vasilios Tsalavoutis; Frederick Ditliac Atiah; Vadlamani Ravi; Alan Peters (Knowl. Based Syst., 2020)

Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II. - Sarveswararao Vangala; Vadlamani Ravi; Shaik Tanveer Ul Huq (CoRR, 2021)

Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark. - Yelleti Vivek; Vadlamani Ravi; Pisipati Radhakrishna (CoRR, 2021)

Optimal Technical Indicator-based Trading Strategies Using NSGA-II. - P. Shanmukh Kali Prasad; Vadlamani Madhav; Ramanuj Lal; Vadlamani Ravi (CoRR, 2021)

High utility itemset mining using binary differential evolution: An application to customer segmentation. - Gutha Jaya Krishna; Vadlamani Ravi (Expert Syst. Appl., 2021)

EGRNN++ and PNN++ : Parallel and Distributed Neural Networks for Big Data Regression and Classification. - Sk. Kamaruddin; Vadlamani Ravi (SN Comput. Sci., 2021)

Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks. - Tanveerulhuq Shaik; Vadlamani Ravi; Kalyanmoy Deb (SN Comput. Sci., 2021)

FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance. - Prateek Kate; Vadlamani Ravi; Akhilesh Gangwar (CoRR, 2022)

Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark. - Yelleti Vivek; Vadlamani Ravi; Pisipati Radhakrishna (CoRR, 2022)

Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark. - Mohammad Arafat Ali Khan; Chandra Bhushan; Vadlamani Ravi; Vangala Sarveswara Rao; Shiva Shankar Orsu (CoRR, 2022)

Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark. - Yelleti Vivek; Vadlamani Ravi; P. Radha Krishna 001 (CoRR, 2022)

Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption. - Syed Imtiaz Ahamed; Vadlamani Ravi (CoRR, 2022)

Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm. - Satyam Kumar 006; Vadlamani Ravi (CoRR, 2022)

Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption. - Syed Imtiaz Ahamed; Vadlamani Ravi (CoRR, 2022)

Explainable Reinforcement Learning on Financial Stock Trading using SHAP. - Satyam Kumar 006; Mendhikar Vishal; Vadlamani Ravi (CoRR, 2022)

Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance. - Satyam Kumar 006; Vadlamani Ravi (CoRR, 2022)

Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection. - K. S. N. V. K. Gangadhar; B. Akhil Kumar; Yelleti Vivek; Vadlamani Ravi (CoRR, 2022)

A Novel BGCapsule Network for Text Classification. - Akhilesh Kumar Gangwar; Vadlamani Ravi (SN Comput. Sci., 2022)

Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms. - Sarveswararao Vangala; Vadlamani Ravi; Shaik Tanveer Ul Huq (Swarm Evol. Comput., 2022)

Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment. - Yelleti Vivek; Vadlamani Ravi; P. Radha Krishna 001 (Clust. Comput., 2023)

Chaotic Variational Auto encoder-based Adversarial Machine Learning. - Pavan Venkata Sainadh Reddy; Yelleti Vivek; Gopi Pranay; Vadlamani Ravi (CoRR, 2023)

ATM Fraud Detection using Streaming Data Analytics. - Yelleti Vivek; Vadlamani Ravi; Abhay Anand Mane; Laveti Ramesh Naidu (CoRR, 2023)

FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid. - Polaki Durga Prasad; Yelleti Vivek; Vadlamani Ravi (CoRR, 2023)

Causal Inference for Banking Finance and Insurance A Survey. - Satyam Kumar 006; Yelleti Vivek; Vadlamani Ravi; Indranil Bose (CoRR, 2023)

ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks. - Sarveswararao Vangala; Vadlamani Ravi; Yelleti Vivek (Expert Syst. Appl., 2023)

FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance. - Prateek Kate; Vadlamani Ravi; Akhilesh Gangwar (Neural Comput. Appl., 2023)

FedPNN: One-Shot Federated Classifier to Predict Credit Card Fraud and Bankruptcy in Banks. - Polaki Durga Prasad; Yelleti Vivek; Vadlamani Ravi (CIFEr, 2024)

Explainable Artificial Intelligence and Causal Inference Based ATM Fraud Detection. - Yelleti Vivek; Vadlamani Ravi; Abhay Anand Mane; Laveti Ramesh Naidu (CIFEr, 2024)

Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. - Vivek Yelleti; Vadlamani Ravi; P. Radha Krishna 001 (GECCO Companion, 2024)

Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. - Vivek Yelleti; Vadlamani Ravi; P. Radha Krishna 001 (GECCO Companion, 2024)

Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso. - Yelleti Vivek; Sri Krishna Vadlamani; Vadlamani Ravi; P. Radha Krishna 001 (CoRR, 2024)

Parallel fractional dominance MOEAs for feature subset selection in big data. - Yelleti Vivek; Vadlamani Ravi; Ponnuthurai Nagaratnam Suganthan; P. Radha Krishna 001 (Swarm Evol. Comput., 2024)

Parallel and streaming wavelet neural networks for classification and regression under apache spark. - Eduru Harindra Venkatesh; Yelleti Vivek; Vadlamani Ravi; Shiva Shankar Orsu (Clust. Comput., 2024)

Deep Reinforcement Learning for Financial Forecasting in Static and Streaming Cases. - Aravilli Atchuta Ram; Sandarbh Yadav; Yelleti Vivek; Vadlamani Ravi (J. Inf. Knowl. Manag., 2024)

XDATE: eXplainable Deep belief network-based Auto-encoder with exTended Garson Algorithm. - Satyam Kumar 006; Vadlamani Ravi (COMSNETS, 2025)

Explainable One Class Classification for ATM Fraud Detection. - Yelleti Vivek; Vadlamani Ravi; Abhay Anand Mane; Laveti Ramesh Naidu (COMSNETS, 2025)

Feature subset selection for big data via parallel chaotic binary differential evolution and feature-level elitism. - Yelleti Vivek; Vadlamani Ravi; P. Radha Krishna 001 (Comput. Electr. Eng., 2025)

Online feature subset selection for mining feature streams in big data via incremental learning and evolutionary computation. - Yelleti Vivek; Vadlamani Ravi; P. Radha Krishna 001 (Swarm Evol. Comput., 2025)

Quantum-inspired evolutionary algorithms for feature subset selection: a comprehensive survey. - Yelleti Vivek; Vadlamani Ravi; P. Radha Krishna 001 (Quantum Inf. Process., 2025)

Hybrids of Reinforcement Learning and Evolutionary Computation in Finance: A Survey. - Sandarbh Yadav; Vadlamani Ravi; Shivaram Kalyanakrishnan (ACM Comput. Surv., 2025)

A Comprehensive Review of Causal Inference in Banking, Finance, and Insurance. - Satyam Kumar 006; Yelleti Vivek; Vadlamani Ravi; Indranil Bose (ACM Comput. Surv., 2025)