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Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm.

, , , , , и . Int. J. Hybrid Intell. Syst., 19 (1): 27-43 (2023)

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Milos Horvath

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The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection., , , , , , и . SYNASC, стр. 268-275. IEEE, (2022)Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques., , , , , , и . IEEE Access, (2024)Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm., , , , , и . Int. J. Hybrid Intell. Syst., 19 (1): 27-43 (2023)Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks., , , , , , и . Inf. Sci., (2023)Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification., , , , , , и . MDIS, том 1761 из Communications in Computer and Information Science, стр. 188-203. Springer, (2022)Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics., , , , и . ICACDS (1), том 1440 из Communications in Computer and Information Science, стр. 604-616. Springer, (2021)Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics., , , , , , , , и . PeerJ Comput. Sci., (2024)Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics., , , , , , и . Axioms, 13 (5): 335 (мая 2024)Using AI-Based Classification Techniques to Process EEG Data Collected during the Visual Short-Term Memory Assessment., , , и . J. Sensors, (2020)Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning., , , , , , и . J. Web Eng., 22 (3): 543-574 (2023)