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Proceedings of Data Analytics and Management
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A Comparative Study of Transformer-Based and Classical Models for Financial Time-Series Forecasting
Journal of Risk and Financial Management,
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Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning
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Artificial Intelligence for Financial Time-Series Forecasting: A Systematic Review of Stock Market Prediction Models
International Journal of Advanced Innovative Technology in Engineering,
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A Cross-Validated Comparison of LSTM and GRU for Multi-Step Financial Forecasting
2026 International Conference on Smart Computing, IoT, and Machine Learning (SIML),
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DOI:10.1109/SIML69834.2026.11621194
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[6]
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Bi-Directional LSTM for Forecasting Agricultural Commodity Prices Using Government Open Data
2026 International Conference on Advanced Computing and Knowledge Engineering (ICACKE),
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DOI:10.1109/ICACKE65470.2026.11651173
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[7]
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Evaluating the Performance of LSTM, GRU, and Temporal Fusion Transformers in Stock Market Time Series Predictions
2025 IEEE AFRICON,
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An efficient framework for accurate stock market price prediction using bidirectional GRU and Savitzky-Golay filter
International Journal of Information Technology,
2025
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DeepFinLLM: an intelligent financial advisor unleashing strategic insights with large language models
Journal of Intelligent Information Systems,
2025
DOI:10.1007/s10844-025-00959-z
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[10]
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Hybrid Time Series Forecasting of Apple Stock Prices Using Mini-Transformer and Lstm Models
2025 4th International Conference on Electronics Representation and Algorithm (ICERA),
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DOI:10.1109/ICERA66156.2025.11087271
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[11]
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Stock Prices Using Arima and Sarima with Macroeconomic Indicators Predicting
2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA),
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DOI:10.1109/ICIRCA65293.2025.11089539
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