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	1	Stock price prediction based on dual important indicators using ARIMAX: A case study in Vietnam Enthalten in Journal of intelligent systems Bd. 34, 2025, Nr. 1. 22 S.
	2	Lamformer: LSTM-enhanced agent attention and mixture-of-experts transformer for efficient stock price prediction Enthalten in International journal of machine learning and cybernetics 20.7.2025: 1-14
	3	A comparative study of deep learning approaches for stock price prediction Enthalten in Digital finance 1.7.2025: 1-29
	4	A Full-Fledged Stock Market Prediction Framework using Adaptive TCN with a Bayesian Learning Network via Enhanced Good and Bad Groups-Based Optimizer Enthalten in Computational economics 23.6.2025: 1-67
	5	Smapf-hnna: a novel Stock Market Analysis and Prediction Framework using Hybrid Neural Network Architectures Across Major U.S. Indices Enthalten in International journal of data science and analytics 25.5.2025: 1-37
	6	A Novel Hybrid Ensemble Framework for Stock Price Prediction: Combining Bagging, Boosting, Dagging, and Stacking Enthalten in Computational economics 7.5.2025: 1-31
	7	A K-line Pattern Combinations Stock Return Prediction Method Using Deep Deterministic Policy Gradient Enthalten in Computational economics 2.5.2025: 1-27
	8	SPIC: a stock price indicator based on crises prediction using bi-directional LSTM Enthalten in Quality & quantity 29.4.2025: 1-24
	9	An Accurate Multiple Data Based Stock Prediction and Sentiment Analysis Using Synergic Deep Info Convolutional Neural Network Enthalten in Computational economics 21.4.2025: 1-30
	10	MLSC: A Multi-label Stock Classifier for Multi-horizon Stock Trend Prediction Enthalten in Computational economics 17.4.2025: 1-43

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