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ORCIDVadlamani Ravi
Person information
- affiliation: Institute for Development and Research in Banking Technology (IDRBT), Hyderabad, India
- affiliation (former): Indian Institute of Technology Delhi, Department of Management Studies, New Delhi, India
- affiliation (former): National University of Singapore, Institute of Systems Science, Singapore
- affiliation (former): RWTH Aachen University, Lehrstuhl für Unternehmensforschung, Germany
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2020 – today
- 2023
[j80]Yelleti Vivek
, Vadlamani Ravi, P. Radha Krishna:
Scalable feature subset selection for big data using parallel hybrid evolutionary algorithm based wrapper under apache spark environment. Clust. Comput. 26(3): 1949-1983 (2023)- [j79]Sarveswararao Vangala, Vadlamani Ravi, Yelleti Vivek:
ATM cash demand forecasting in an Indian bank with chaos and hybrid deep learning networks. Expert Syst. Appl. 211: 118645 (2023) - [j78]Prateek Kate, Vadlamani Ravi, Akhilesh Gangwar:
FinGAN: Chaotic generative adversarial network for analytical customer relationship management in banking and insurance. Neural Comput. Appl. 35(8): 6015-6028 (2023) - [i28]Pavan Venkata Sainadh Reddy, Yelleti Vivek, Gopi Pranay, Vadlamani Ravi:
Chaotic Variational Auto encoder-based Adversarial Machine Learning. CoRR abs/2302.12959 (2023) - [i27]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
ATM Fraud Detection using Streaming Data Analytics. CoRR abs/2303.04946 (2023) - [i26]Polaki Durga Prasad, Yelleti Vivek, Vadlamani Ravi:
FedPNN: One-shot Federated Classification via Evolving Clustering Method and Probabilistic Neural Network hybrid. CoRR abs/2304.04147 (2023) - [i25]Satyam Kumar, Yelleti Vivek, Vadlamani Ravi, Indranil Bose:
Causal Inference for Banking Finance and Insurance A Survey. CoRR abs/2307.16427 (2023) - 2022
- [j77]Akhilesh Kumar Gangwar, Vadlamani Ravi:
A Novel BGCapsule Network for Text Classification. SN Comput. Sci. 3(1): 81 (2022) - [j76]Sarveswararao Vangala, Vadlamani Ravi, Shaik Tanveer Ul Huq:
Optimal prediction intervals for macroeconomic time series using chaos and evolutionary multi-objective optimization algorithms. Swarm Evol. Comput. 71: 101070 (2022) - [i24]Prateek Kate, Vadlamani Ravi, Akhilesh Gangwar:
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance. CoRR abs/2201.11486 (2022) - [i23]Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna:
Feature subset selection for Big Data via Chaotic Binary Differential Evolution under Apache Spark. CoRR abs/2202.03795 (2022) - [i22]Mohammad Arafat Ali Khan, Chandra Bhushan, Vadlamani Ravi, Vangala Sarveswara Rao, Shiva Shankar Orsu:
Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark. CoRR abs/2202.11820 (2022) - [i21]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Parallel bi-objective evolutionary algorithms for scalable feature subset selection via migration strategy under Spark. CoRR abs/2205.09465 (2022) - [i20]Syed Imtiaz Ahamed, Vadlamani Ravi:
Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption. CoRR abs/2205.13265 (2022) - [i19]Satyam Kumar, Vadlamani Ravi:
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm. CoRR abs/2207.08501 (2022) - [i18]Syed Imtiaz Ahamed, Vadlamani Ravi:
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption. CoRR abs/2208.02587 (2022) - [i17]Satyam Kumar, Mendhikar Vishal, Vadlamani Ravi:
Explainable Reinforcement Learning on Financial Stock Trading using SHAP. CoRR abs/2208.08790 (2022) - [i16]Satyam Kumar, Vadlamani Ravi:
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance. CoRR abs/2208.10916 (2022) - [i15]Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Shiva Shankar Orsu:
Parallel and Streaming Wavelet Neural Networks for Classification and Regression under Apache Spark. CoRR abs/2209.03056 (2022) - [i14]Yelleti Vivek, Vadlamani Ravi, Abhay Anand Mane, Laveti Ramesh Naidu:
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection. CoRR abs/2211.10595 (2022) - [i13]K. S. N. V. K. Gangadhar, B. Akhil Kumar, Yelleti Vivek, Vadlamani Ravi:
Chaotic Variational Auto Encoder based One Class Classifier for Insurance Fraud Detection. CoRR abs/2212.07802 (2022) - 2021
- [j75]Gutha Jaya Krishna, Vadlamani Ravi:
High utility itemset mining using binary differential evolution: An application to customer segmentation. Expert Syst. Appl. 181: 115122 (2021) - [j74]Tanveerulhuq Shaik, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi-Objective Optimization Algorithm for Community Detection in Complex Social Networks. SN Comput. Sci. 2(1): 1 (2021) - [j73]Sk. Kamaruddin, Vadlamani Ravi:
EGRNN++ and PNN++ : Parallel and Distributed Neural Networks for Big Data Regression and Classification. SN Comput. Sci. 2(2): 109 (2021) - [i12]Sarveswararao Vangala, Vadlamani Ravi, Shaik Tanveer Ul Huq:
Optimal Prediction Intervals for Macroeconomic Time Series Using Chaos and NSGA II. CoRR abs/2102.11427 (2021) - [i11]Yelleti Vivek, Vadlamani Ravi, Pisipati Radhakrishna:
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark. CoRR abs/2106.14007 (2021) - [i10]P. Shanmukh Kali Prasad, Vadlamani Madhav, Ramanuj Lal, Vadlamani Ravi:
Optimal Technical Indicator-based Trading Strategies Using NSGA-II. CoRR abs/2111.13364 (2021) - 2020
- [j72]Sachithra Lokuge, Darshana Sedera, Thilini Ariyachandra, Saj Kumar, Vadlamani Ravi:
The Next Wave of CRM Innovation: Implications for Research, Teaching, and Practice. Commun. Assoc. Inf. Syst. 46: 23 (2020) - [j71]Gutha Jaya Krishna, Vadlamani Ravi:
Mining top high utility association rules using Binary Differential Evolution. Eng. Appl. Artif. Intell. 96: 103935 (2020) - [j70]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters:
A review of deep learning with special emphasis on architectures, applications and recent trends. Knowl. Based Syst. 194: 105596 (2020) - [c69]Gopireddy Vishnuvardhan, Vadlamani Ravi, Amiya Ranjan Mallik:
Field Extraction and Logo Recognition on Indian Bank Cheques Using Convolution Neural Networks. FICTA (2) 2020: 277-288 - [c68]Basit Ali, Vadlamani Ravi:
Developing Dialog Manager in Chatbots via Hybrid Deep Learning Architectures. FICTA (2) 2020: 301-310 - [c67]Bheemidi Vikram Reddy, Gutha Jaya Krishna, Vadlamani Ravi, Dipankar Dasgupta:
Machine Learning and Feature Selection Based Ransomware Detection Using Hexacodes. FICTA (1) 2020: 583-597 - [c66]Akhilesh Kumar Gangwar, Vadlamani Ravi:
Diabetic Retinopathy Detection Using Transfer Learning and Deep Learning. FICTA (1) 2020: 679-689 - [c65]Sarveswararao Vangala, Vadlamani Ravi:
Chaos, Machine Learning and Deep Learning based Hybrid to forecast Consumer Price Index Inflation in India. SSCI 2020: 2551-2557 - [i9]Shaik Tanveer Ul Huq, Vadlamani Ravi:
Evolutionary Multi-Objective Optimization Framework for Mining Association Rules. CoRR abs/2003.09158 (2020) - [i8]Shaik Tanveer Ul Huq, Vadlamani Ravi, Kalyanmoy Deb:
Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks. CoRR abs/2005.03181 (2020) - [i7]Vishal Vyas, Kumar Ravi, Vadlamani Ravi, V. Uma, Srirangaraj Setlur, Venu Govindaraju:
Article citation study: Context enhanced citation sentiment detection. CoRR abs/2005.04534 (2020) - [i6]Akhilesh Kumar Gangwar, Vadlamani Ravi:
A Novel BGCapsule Network for Text Classification. CoRR abs/2007.04302 (2020) - [i5]Sarveswararao Vangala, Vadlamani Ravi:
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning. CoRR abs/2008.10365 (2020)
2010 – 2019
- 2019
- [j69]Ojha Manish Kumar, Kumar Ravi, Vadlamani Ravi:
MapReduce-based fuzzy very fast decision tree for constructing prediction intervals. Int. J. Big Data Intell. 6(3/4): 234-247 (2019) - [c64]Gutha Jaya Krishna, Vadlamani Ravi:
Feature Subset Selection using Adaptive Differential Evolution: An Application to Banking. COMAD/CODS 2019: 157-163 - [c63]Akhilesh Gangwar, Vadlamani Ravi:
WiP: Generative Adversarial Network for Oversampling Data in Credit Card Fraud Detection. ICISS 2019: 123-134 - [c62]Gutha Jaya Krishna, Vadlamani Ravi:
Anomaly Detection Using Modified Differential Evolution: An Application to Banking and Insurance. SoCPaR 2019: 102-111 - [c61]Sk. Kamaruddin, Vadlamani Ravi:
A Parallel and Distributed Radial Basis Function Network for Big Data Analytics. TENCON 2019: 395-399 - [c60]Gutha Jaya Krishna, Vadlamani Ravi, Bheemidi Vikram Reddy, Mohammad Zaheeruddin, Harshal Jaiswal, P. Sai Ravi Teja, Rohit Gavval:
Sentiment Classification of Indian Banks' Customer Complaints. TENCON 2019: 429-434 - [c59]Gutha Jaya Krishna, Vadlamani Ravi:
Keystroke based User Authentication using Modified Differential Evolution. TENCON 2019: 739-744 - [c58]Gutha Jaya Krishna, Harshal Jaiswal, P. Sai Ravi Teja, Vadlamani Ravi:
Keystroke based User Identification with XGBoost. TENCON 2019: 1369-1374 - [p2]Gutha Jaya Krishna, Vadlamani Ravi:
Evolutionary Computing Applied to Solve Some Operational Issues in Banks. Optimization in Industry 2019: 31-53 - [i4]Rohit Gavval, Vadlamani Ravi, Kalavala Revanth Harshal, Akhilesh Gangwar, Kumar Ravi:
CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM. CoRR abs/1905.09598 (2019) - [i3]Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters:
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends. CoRR abs/1905.13294 (2019) - [i2]Gutha Jaya Krishna, Vadlamani Ravi:
Large Scale Global Optimization by Hybrid Evolutionary Computation. CoRR abs/1910.03799 (2019) - [i1]B. Shravan Kumar, Vadlamani Ravi, Rishabh Miglani:
Predicting Indian stock market using the psycho-linguistic features of financial news. CoRR abs/1911.06193 (2019) - 2018
- [j68]Gutha Jaya Krishna, Vadlamani Ravi, S. Nagesh Bhattu:
Key generation for plain text in stream cipher via bi-objective evolutionary computing. Appl. Soft Comput. 70: 301-317 (2018) - [j67]Dadabada Pradeepkumar, Vadlamani Ravi:
Soft computing hybrids for FOREX rate prediction: A comprehensive review. Comput. Oper. Res. 99: 262-284 (2018) - [j66]Kumar Ravi, Yogesh Khandelwal, Boora Shiva Krishna, Vadlamani Ravi:
Analytics in/for cloud-an interdependence: A review. J. Netw. Comput. Appl. 102: 17-37 (2018) - [c57]Kumar Ravi, Srirangaraj Setlur, Vadlamani Ravi, Venu Govindaraju:
Article Citation Sentiment Analysis Using Deep Learning. ICCI*CC 2018: 78-85 - [c56]Kumar Ravi, Vadlamani Ravi, B. Shivakrishna:
Sentiment Classification Using Paragraph Vector and Cognitive Big Data Semantics on Apache Spark. ICCI*CC 2018: 187-194 - [c55]Manish Yadav, Vadlamani Ravi:
Quantile Regression Random Forest Hybrids Based Data Imputation. ICCI*CC 2018: 195-201 - [c54]Kumar Ravi, Vadlamani Ravi:
Irony Detection Using Neural Network Language Model, Psycholinguistic Features and Text Mining. ICCI*CC 2018: 254-260 - [c53]B. Shravan Kumar, Vadlamani Ravi:
A Hybrid Approach Using Topic Modeling and Class-Association Rule Mining for Text Classification: the Case of Malware Detection. ICCI*CC 2018: 261-268 - [c52]Gutha Jaya Krishna, Meesala Smruthi, Vadlamani Ravi, Bhamidipati Shandilya:
Differential Evolution Trained Fuzzy Cognitive Map: An Application to Modeling Efficiency in Banking. ISDA (2) 2018: 1-11 - [c51]Gutha Jaya Krishna, Vadlamani Ravi:
Hybrid Evolutionary Algorithm for Optimizing Reliability of Complex Systems. ISDA (2) 2018: 108-119 - [c50]Bhaskar Dhariyal, Vadlamani Ravi, Kumar Ravi:
Sentiment analysis via Doc2Vec and Convolutional Neural Network hybrids. SSCI 2018: 666-671 - 2017
- [j65]Dadabada Pradeepkumar, Vadlamani Ravi:
Forecasting financial time series volatility using Particle Swarm Optimization trained Quantile Regression Neural Network. Appl. Soft Comput. 58: 35-52 (2017) - [j64]Kumar Ravi, Vadlamani Ravi, P. Sree Rama Krishna Prasad:
Fuzzy formal concept analysis based opinion mining for CRM in financial services. Appl. Soft Comput. 60: 786-807 (2017) - [j63]Kumar Ravi, Vadlamani Ravi:
A novel automatic satire and irony detection using ensembled feature selection and data mining. Knowl. Based Syst. 120: 15-33 (2017) - [j62]Vadlamani Ravi, Dadabada Pradeepkumar, Kalyanmoy Deb:
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm Evol. Comput. 36: 136-149 (2017) - [c49]Vadlamani Ravi, Sk. Kamaruddin:
Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges. BDA 2017: 15-39 - [c48]Sk. Kamaruddin, Vadlamani Ravi, Pritman Mayank:
Parallel Evolving Clustering Method for Big Data Analytics Using Apache Spark: Applications to Banking and Physics. BDA 2017: 278-292 - [c47]Vadlamani Ravi, Vadali Tejasviram, Anurag Sharma, Rashmi Ranjan Khansama:
Prediction Intervals via Support Vector-quantile Regression Random Forest Hybrid. COMPUTE 2017: 109-113 - [c46]B. Shravan Kumar, Vadlamani Ravi:
LDA Based Feature Selection for Document Clustering. COMPUTE 2017: 125-130 - [c45]Nagesh Bhattu Sristy, N. Satya Krishna, Boora Shiva Krishna, Vadlamani Ravi:
Language Identification in Mixed Script. FIRE 2017: 14-20 - 2016
- [j61]Manish Verma, G. R. Gangadharan, Nanjangud C. Narendra, Vadlamani Ravi, Vidyadhar Inamdar, Lakshmi Ramachandran, Rodrigo N. Calheiros, Rajkumar Buyya:
Dynamic resource demand prediction and allocation in multi-tenant service clouds. Concurr. Comput. Pract. Exp. 28(17): 4429-4442 (2016) - [j60]Gutha Jaya Krishna, Vadlamani Ravi:
Evolutionary computing applied to customer relationship management: A survey. Eng. Appl. Artif. Intell. 56: 30-59 (2016) - [j59]Kancherla Jonah Nishanth, Vadlamani Ravi:
Probabilistic neural network based categorical data imputation. Neurocomputing 218: 17-25 (2016) - [j58]B. Shravankumar, Vadlamani Ravi:
A survey of the applications of text mining in financial domain. Knowl. Based Syst. 114: 128-147 (2016) - [c44]B. Shravan Kumar, Vadlamani Ravi:
Text Document Classification with PCA and One-Class SVM. FICTA (1) 2016: 107-115 - [c43]Dadabada Pradeepkumar, Vadlamani Ravi:
FOREX Rate Prediction: A Hybrid Approach Using Chaos Theory and Multivariate Adaptive Regression Splines. FICTA (1) 2016: 219-227 - [c42]Kshitij Tayal, Vadlamani Ravi:
Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection. ICIA 2016: 13:1-13:8 - [c41]Gutha Jaya Krishna, Vadlamani Ravi:
Outlier Detection using Evolutionary Computing. ICIA 2016: 17:1-17:6 - [c40]Sk. Kamaruddin, Vadlamani Ravi:
Credit Card Fraud Detection using Big Data Analytics: Use of PSOAANN based One-Class Classification. ICIA 2016: 33:1-33:8 - [c39]Amit Soni Arya, Vadlamani Ravi, Vadali Tejasviram, Neelava Sengupta, Nikola K. Kasabov:
Cyber fraud detection using evolving spiking neural network. ICIIS 2016: 263-268 - [c38]Rahul Ghosh, Kumar Ravi, Vadlamani Ravi:
A novel deep learning architecture for sentiment classification. RAIT 2016: 511-516 - [c37]Dadabada Pradeepkumar, Vadlamani Ravi:
FOREX Rate prediction using Chaos and Quantile Regression Random Forest. RAIT 2016: 517-522 - [c36]Kumar Ravi, Vadlamani Ravi:
Sentiment classification of Hinglish text. RAIT 2016: 641-645 - [c35]Kumar Ravi, Vadlamani Ravi:
Online Clustering Based Concept Lattice Reduction. SoCPaR 2016: 698-708 - 2015
- [j57]G. Ganesh Sundarkumar, Vadlamani Ravi:
A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance. Eng. Appl. Artif. Intell. 37: 368-377 (2015) - [j56]Narravula Ankaiah, Vadlamani Ravi:
Multi objective constrained optimisation of data envelopment analysis by differential evolution. Int. J. Inf. Decis. Sci. 7(4): 334-357 (2015) - [j55]Chandan Gautam, Vadlamani Ravi:
Data imputation via evolutionary computation, clustering and a neural network. Neurocomputing 156: 134-142 (2015) - [j54]Chandan Gautam, Vadlamani Ravi:
Counter propagation auto-associative neural network based data imputation. Inf. Sci. 325: 288-299 (2015) - [j53]Kumar Ravi, Vadlamani Ravi:
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications. Knowl. Based Syst. 89: 14-46 (2015) - [c34]G. Ganesh Sundarkumar, Vadlamani Ravi, Ifeoma Nwogu, Venu Govindaraju:
Malware detection via API calls, topic models and machine learning. CASE 2015: 1212-1217 - [c33]S. Nagesh Bhattu, Vadlamani Ravi:
Language Identification in Mixed Script Social Media Text. FIRE Workshops 2015: 37-39 - [c32]Vadali Tejasviram, Harshvardhan Solanki, Vadlamani Ravi, Sk. Kamaruddin:
Auto associative Extreme Learning Machine based non-linear principal component regression for big data applications. ICDIM 2015: 223-228 - [c31]Gutha Jaya Krishna, Vadlamani Ravi:
Modified Harmony Search Applied to Reliability Optimization of Complex Systems. ICHSA 2015: 169-180 - [c30]Vadlamani Srikrishna, Rahul Ghosh, Vadlamani Ravi, Kalyanmoy Deb:
Elitist Quantum-Inspired Differential Evolution Based Wrapper for Feature Subset Selection. MIWAI 2015: 113-124 - 2014
- [j52]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Churn prediction using comprehensible support vector machine: An analytical CRM application. Appl. Soft Comput. 19: 31-40 (2014) - [j51]Kamini Venkatesh, Vadlamani Ravi, Anita Prinzie, Dirk Van den Poel:
Cash demand forecasting in ATMs by clustering and neural networks. Eur. J. Oper. Res. 232(2): 383-392 (2014) - [j50]Vadlamani Ravi, Mannepalli Krishna:
A new online data imputation method based on general regression auto associative neural network. Neurocomputing 138: 106-113 (2014) - [c29]Dadabada Pradeepkumar, Vadlamani Ravi:
FOREX Rate Prediction Using Chaos, Neural Network and Particle Swarm Optimization. ICSI (2) 2014: 363-375 - [c28]Pradeep Ganghishetti, Vadlamani Ravi:
Association Rule Mining via Evolutionary Multi-objective Optimization. MIWAI 2014: 35-46 - [c27]Vadlamani Ravi, Anurag Sharma:
Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems. MIWAI 2014: 149-160 - [c26]Vadlamani Ravi, Ranabir De:
Principal Component Analysis and General Regression Auto Associative Neural Network Hybrid as One-Class Classifier. SEMCCO 2014: 164-175 - [c25]B. Shravankumar, Vadlamani Ravi:
Text Classification Using Ensemble Features Selection and Data Mining Techniques. SEMCCO 2014: 176-186 - [c24]Dadabada Pradeepkumar, Maneesh Bhunwal, Vadlamani Ravi:
A Novel Hybrid Algorithm for Discovering Motifs from Financial Time Series. SEMCCO 2014: 201-211 - [c23]Pradeep Ganghishetti, Vadlamani Ravi, Nandan Kaushik, B. L. Deekshatulu, Indranil Bose, A. Aditya:
Fraud Detection in Financial Statements Using Evolutionary Computation Based Rule Miners. SEMCCO 2014: 239-250 - [c22]Vadlamani Ravi, Amit Yadav:
Privacy Preserving Data Mining Using General Regression Auto-Associative Neural Network: Application to Regression Problems. SEMCCO 2014: 618-624 - 2013
- [j49]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Hybrid intelligent systems for predicting software reliability. Appl. Soft Comput. 13(1): 189-200 (2013) - [j48]Amit Kumar Banerjee, Vadlamani Ravi, U. S. N. Murty, Anirudh P. Shanbhag, V. Lakshmi Prasanna:
Keratin protein property based classification of mammals and non-mammals using machine learning techniques. Comput. Biol. Medicine 43(7): 889-899 (2013) - [j47]K. N. V. D. Sarath, Vadlamani Ravi:
Association rule mining using binary particle swarm optimization. Eng. Appl. Artif. Intell. 26(8): 1832-1840 (2013) - [j46]Vadlamani Ravi, Nekuri Naveen, Mayank Pandey:
Hybrid classification and regression models via particle swarm optimization auto associative neural network based nonlinear PCA. Int. J. Hybrid Intell. Syst. 10(3): 137-149 (2013) - [j45]Sharma Nigib, Arun Nampally, Vadlamani Ravi:
An ant colony optimisation and Nelder-Mead simplex hybrid algorithm for training neural networks: an application to bankruptcy prediction in banks. Int. J. Inf. Decis. Sci. 5(2): 188-203 (2013) - [j44]Vishal Arora, Vadlamani Ravi:
Data Mining using Advanced Ant Colony Optimization Algorithm and Application to Bankruptcy Prediction. Int. J. Inf. Syst. Soc. Chang. 4(3): 33-56 (2013) - [j43]Mahil Carr, Vadlamani Ravi, G. Sridharan Reddy, D. Veranna:
Machine Learning Techniques Applied to Profile Mobile Banking Users in India. Int. J. Inf. Syst. Serv. Sect. 5(1): 82-92 (2013) - [j42]Kancherla Jonah Nishanth, Vadlamani Ravi:
A Computational Intelligence Based Online Data Imputation Method: An Application For Banking. J. Inf. Process. Syst. 9(4): 633-650 (2013) - [j41]Kalam Narendar Reddy, Vadlamani Ravi:
Differential evolution trained kernel principal component WNN and kernel binary quantile regression: Application to banking. Knowl. Based Syst. 39: 45-56 (2013) - [c21]Uppala Shivakumar, Vadlamani Ravi, G. R. Gangadharan:
Ranking cloud services using fuzzy multi-attribute decision making. FUZZ-IEEE 2013 - [c20]Mayank Pandey, Vadlamani Ravi:
Phishing Detection Using PSOAANN Based One-Class Classifier. ICETET 2013: 148-153 - [c19]Uppala Shivakumar, Vadlamani Ravi, T. R. Venkateswaran:
Quantification of Balanced Scorecard Using Crisp and Fuzzy Multi Attribute Decision Making: Application to Banking. ICETET 2013: 164-170 - [c18]Mayank Pandey, Vadlamani Ravi:
Text and Data Mining to Detect Phishing Websites and Spam Emails. SEMCCO (2) 2013: 559-573 - 2012
- [j40]Kancherla Jonah Nishanth, Vadlamani Ravi, Narravula Ankaiah, Indranil Bose:
Soft computing based imputation and hybrid data and text mining: The case of predicting the severity of phishing alerts. Expert Syst. Appl. 39(12): 10583-10589 (2012) - [j39]Paramjeet, Vadlamani Ravi, Nekuri Naveen, Chillarige Raghavendra Rao:
Privacy preserving data mining using particle swarm optimisation trained auto-associative neural network: an application to bankruptcy prediction in banks. Int. J. Data Min. Model. Manag. 4(1): 39-56 (2012) - [c17]Vadlamani Ravi, Nekuri Naveen, Manideepto-Das:
Hybrid classifier based on particle swarm optimization trained auto associative neural networks as non-linear principal component analyzer: Application to banking. ISDA 2012: 77-82 - [c16]Kalam Narendar Reddy, Vadlamani Ravi:
Kernel Group Method of Data Handling: Application to Regression Problems. SEMCCO 2012: 74-81 - [c15]Nekuri Naveen, Vadlamani Ravi, Chillarige Raghavendra Rao:
Rule Extraction from DEWNN to Solve Classification and Regression Problems. SEMCCO 2012: 206-214 - [c14]Vadlamani Ravi, Nekuri Naveen, Manideepto-Das:
Particle Swarm Optimization Trained Auto Associative Neural Networks Used as Single Class Classifier. SEMCCO 2012: 577-584 - 2011
- [j38]Pediredla Ravisankar, Vadlamani Ravi, G. Raghava Rao, Indranil Bose:
Detection of financial statement fraud and feature selection using data mining techniques. Decis. Support Syst. 50(2): 491-500 (2011) - [j37]Ashwinikumar Kulkarni, B. S. C. Naveen Kumar, Vadlamani Ravi, Upadhyayula Suryanarayana Murthy:
Colon cancer prediction with genetics profiles using evolutionary techniques. Expert Syst. Appl. 38(3): 2752-2757 (2011) - [j36]Paramjeet, Vadlamani Ravi:
Bacterial foraging trained wavelet neural networks: application to bankruptcy prediction in banks. Int. J. Data Anal. Tech. Strateg. 3(3): 261-280 (2011) - [j35]Madireddi Vasu, Vadlamani Ravi:
A hybrid under-sampling approach for mining unbalanced datasets: applications to banking and insurance. Int. J. Data Min. Model. Manag. 3(1): 75-105 (2011) - [j34]Mohammad Abdul Haque Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems. Int. J. Inf. Decis. Sci. 3(3): 265-294 (2011) - [c13]Nekuri Naveen, Vadlamani Ravi, Chillarige Raghavendra Rao:
Forecasting Using Rules Extracted from Privacy Preservation Neural Network. MIWAI 2011: 248-260 - [c12]Yeturu Maheshkumar, Vadlamani Ravi:
A Modified Harmony Search Threshold Accepting Hybrid Optimization Algorithm. MIWAI 2011: 298-308 - 2010
- [j33]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Web-services classification using intelligent techniques. Expert Syst. Appl. 37(7): 5484-5490 (2010) - [j32]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Support vector regression based hybrid rule extraction methods for forecasting. Expert Syst. Appl. 37(8): 5577-5589 (2010) - [j31]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Application of Machine Learning Techniques to Predict Software Reliability. Int. J. Appl. Evol. Comput. 1(3): 70-86 (2010) - [j30]Nikunj Chauhan, Vadlamani Ravi:
Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation. Int. J. Bio Inspired Comput. 2(3/4): 169-182 (2010) - [j29]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao, Nikunj Chauhan:
Differential evolution trained radial basis function network: application to bankruptcy prediction in banks. Int. J. Bio Inspired Comput. 2(3/4): 222-232 (2010) - [j28]Devulapalli Karthik Chandra, Vadlamani Ravi, Pediredla Ravisankar:
Support vector machine and wavelet neural network hybrid: application to bankruptcy prediction in banks. Int. J. Data Min. Model. Manag. 2(1): 1-21 (2010) - [j27]Vadlamani Ravi, Chelimala Pramodh:
Non-linear principal component analysis-based hybrid classifiers: an application to bankruptcy prediction in banks. Int. J. Inf. Decis. Sci. 2(1): 50-67 (2010) - [j26]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
The application of intelligent and soft-computing techniques to software engineering problems: a review. Int. J. Inf. Decis. Sci. 2(3): 233-272 (2010) - [j25]Pediredla Ravisankar, Vadlamani Ravi, Indranil Bose:
Failure prediction of dotcom companies using neural network-genetic programming hybrids. Inf. Sci. 180(8): 1257-1267 (2010) - [j24]Pediredla Ravisankar, Vadlamani Ravi:
Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP. Knowl. Based Syst. 23(8): 823-831 (2010) - [c11]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Application of fuzzy multi attribute decision making analysis to rank web services. CISIM 2010: 398-403 - [c10]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao:
Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards. KES (1) 2010: 80-89 - [c9]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM. KES (1) 2010: 461-470 - [c8]Vadlamani Ravi, Nupur Aggarwal, Nikunj Chauhan:
Differential Evolution Based Fuzzy Clustering. SEMCCO 2010: 38-45
2000 – 2009
- 2009
- [j23]Devulapalli Karthik Chandra, Vadlamani Ravi, Indranil Bose:
Failure prediction of dotcom companies using hybrid intelligent techniques. Expert Syst. Appl. 36(3): 4830-4837 (2009) - [j22]Nikunj Chauhan, Vadlamani Ravi, Devulapalli Karthik Chandra:
Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks. Expert Syst. Appl. 36(4): 7659-7665 (2009) - [j21]Vadlamani Ravi, Nikunj Chauhan, N. Raj Kiran:
Software Reliability Prediction Using Intelligent Techniques: Application to Operational Risk Prediction in Firms. Int. J. Comput. Intell. Appl. 8(2): 181-194 (2009) - [j20]Kunta Ramu, Vadlamani Ravi:
Privacy preservation in data mining using hybrid perturbation methods: an application to bankruptcy prediction in banks. Int. J. Data Anal. Tech. Strateg. 1(4): 313-331 (2009) - [j19]Devulapalli Karthik Chandra, Vadlamani Ravi:
Feature selection and fuzzy rule-based classifier applied to bankruptcy prediction in banks. Int. J. Inf. Decis. Sci. 1(4): 343-365 (2009) - [j18]Nekuri Naveen, Vadlamani Ravi, Dudyala Anil Kumar:
Application of fuzzyARTMAP for churn prediction in bank credit cards. Int. J. Inf. Decis. Sci. 1(4): 428-444 (2009) - [c7]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao:
Rule extraction from differential evolution trained radial basis function network using genetic algorithms. CASE 2009: 152-157 - [c6]Pediredla Ravisankar, Vadlamani Ravi:
Failure Prediction of Banks using threshold Accepting Trained Kernel Principal Component Neural Network. NaBIC 2009: 7-12 - [c5]Jankisharan Pahariya, Vadlamani Ravi, Mahil Carr:
Software Cost Estimation using Computational Intelligence Techniques. NaBIC 2009: 849-854 - [c4]E. V. Gopal, Munaga V. N. K. Prasad, Vadlamani Ravi:
Evolutionary Algorithms for Fast and Accurate Watermark Retrieval. NaBIC 2009: 999-1004 - [c3]Ramakanta Mohanty, Vadlamani Ravi, Manas Ranjan Patra:
Software Reliability Prediction Using Group Method of Data Handling. RSFDGrC 2009: 344-351 - [c2]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards. RSFDGrC 2009: 390-397 - 2008
- [j17]Vadlamani Ravi, H. Kurniawan, Peter Nwee Kok Thai, P. Ravi Kumar:
Soft computing system for bank performance prediction. Appl. Soft Comput. 8(1): 305-315 (2008) - [j16]Vadlamani Ravi, Chelimala Pramodh:
Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks. Appl. Soft Comput. 8(4): 1539-1548 (2008) - [j15]Dudyala Anil Kumar, Vadlamani Ravi:
Predicting credit card customer churn in banks using data mining. Int. J. Data Anal. Tech. Strateg. 1(1): 4-28 (2008) - [j14]Chelimala Pramodh, Vadlamani Ravi, T. Nagabhushanam:
Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid. Int. J. Inf. Decis. Sci. 1(1): 44-65 (2008) - [j13]N. Raj Kiran, Vadlamani Ravi:
Software reliability prediction by soft computing techniques. J. Syst. Softw. 81(4): 576-583 (2008) - [j12]K. Vinay Kumar, Vadlamani Ravi, Mahil Carr, N. Raj Kiran:
Software development cost estimation using wavelet neural networks. J. Syst. Softw. 81(11): 1853-1867 (2008) - 2007
- [j11]P. Ravi Kumar, Vadlamani Ravi:
Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review. Eur. J. Oper. Res. 180(1): 1-28 (2007) - [p1]Vadlamani Ravi:
Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization. Intelligence in Reliability Engineering 2007: 21-36 - 2006
- [j10]Vadlamani Ravi, Bin Ma, P. Ravi Kumar:
Threshold Accepting Based Fuzzy Clustering Algorithms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(5): 617-632 (2006) - [c1]P. Ravi Kumar, Vadlamani Ravi:
Bankruptcy Prediction in Banks by Fuzzy Rule Based Classifier. ICDIM 2006: 222-227 - 2005
- [j9]Vadlamani Ravi, Ravi Shankar, M. K. Tiwari:
Analyzing alternatives in reverse logistics for end-of-life computers: ANP and balanced scorecard approach. Comput. Ind. Eng. 48(2): 327-356 (2005) - 2004
- [j8]Vadlamani Ravi:
Optimization of Complex System Reliability by a Modified Great Deluge Algorithm. Asia Pac. J. Oper. Res. 21(4): 487-498 (2004) - 2001
- [j7]Vadlamani Ravi, P. J. Reddy, Hans-Jürgen Zimmermann:
Fuzzy rule base generation for classification and its minimization via modified threshold accepting. Fuzzy Sets Syst. 120(2): 271-279 (2001) - [j6]Vadlamani Ravi, Hans-Jürgen Zimmermann:
A neural network and fuzzy rule base hybrid for pattern classification. Soft Comput. 5(2): 152-159 (2001) - 2000
- [j5]Vadlamani Ravi, Hans-Jürgen Zimmermann:
Fuzzy rule based classification with FeatureSelector and modified threshold accepting. Eur. J. Oper. Res. 123(1): 16-28 (2000) - [j4]Vadlamani Ravi, P. J. Reddy, Hans-Jürgen Zimmermann:
Pattern classification with principal component analysis and fuzzy rule bases. Eur. J. Oper. Res. 126(3): 526-533 (2000) - [j3]Vadlamani Ravi, P. J. Reddy, Hans-Jürgen Zimmermann:
Fuzzy global optimization of complex system reliability. IEEE Trans. Fuzzy Syst. 8(3): 241-248 (2000)
1990 – 1999
- 1999
- [j2]Vadlamani Ravi, P. J. Reddy:
Ranking of Indian coals via fuzzy multi attribute decision making. Fuzzy Sets Syst. 103(3): 369-377 (1999) - 1998
- [j1]Vadlamani Ravi, P. J. Reddy:
Fuzzy linear fractional goal programming applied to refinery operations planning. Fuzzy Sets Syst. 96(2): 173-182 (1998)
Coauthor Index
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