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Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry.

, , , , and . Neural Comput. Appl., 32 (8): 3237-3251 (2020)

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Exploring nested ensemble learners using overproduction and choose approach for churn prediction in telecom industry., , , , and . Neural Comput. Appl., 32 (8): 3237-3251 (2020)A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques., , , , , , , , and . IEEE Access, (2019)HRS-CE: A hybrid framework to integrate content embeddings in recommender systems for cold start items., , , and . J. Comput. Sci., (2018)A Framework to Optimize Deep Learning based Web Attack Detection Using Attacker Categorization., , , , and . EUC, page 95-101. IEEE, (2021)A Deep Learning Framework to Predict Rating for Cold Start Item Using Item Metadata., , , and . WETICE, page 313-319. IEEE, (2019)Using Trust in Collaborative Filtering for Recommendations., , , and . WETICE, page 214-222. IEEE, (2019)Underwater image enhancement using lightweight vision transformer., , and . Multim. Tools Appl., 83 (31): 75603-75625 (September 2024)An enhanced deep learning based framework for web attacks detection, mitigation and attacker profiling., , , , and . J. Netw. Comput. Appl., (2022)A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks., , and . ACIIDS (2), volume 13758 of Lecture Notes in Computer Science, page 77-88. Springer, (2022)Replication of Multi-agent Reinforcement Learning for the "Hide and Seek" Problem., , and . CoRR, (2023)