default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j82]Eduru Harindra Venkatesh, Yelleti Vivek, Vadlamani Ravi, Shiva Shankar Orsu:
Parallel and streaming wavelet neural networks for classification and regression under apache spark. Clust. Comput. 27(3): 3451-3469 (2024)- [j81]Yelleti Vivek
, Vadlamani Ravi, Ponnuthurai Nagaratnam Suganthan, P. Radha Krishna:
Parallel fractional dominance MOEAs for feature subset selection in big data. Swarm Evol. Comput. 91: 101687 (2024) - [c71]Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Online Feature Subset Selection in Streaming Features by Parallel Evolutionary Algorithms. GECCO Companion 2024: 113-114 - [c70]Vivek Yelleti, Vadlamani Ravi, P. Radha Krishna:
Novelty Detection and Feedback based Online Feature Subset Selection for Data Streams via Parallel Hybrid Particle Swarm Optimization Algorithm. GECCO Companion 2024: 227-230 - [i30]Yelleti Vivek, Vadlamani Ravi, P. Radha Krishna:
Quantum-Inspired Evolutionary Algorithms for Feature Subset Selection: A Comprehensive Survey. CoRR abs/2407.17946 (2024) - [i29]Yelleti Vivek, Sri Krishna Vadlamani, Vadlamani Ravi, P. Radha Krishna:
Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso. CoRR abs/2408.10693 (2024) - 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
Yelleti Vivek
aka: Vivek Yelleti
aka: Vivek Yelleti
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
