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2. Multi-Modal Temporal Dynamic Graph Construction for Stock Rank Prediction. (2025). Chen, Long ; Guan, Ziyu ; Xu, Cai ; Wei, Zengyu ; Liu, Ying.
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3. A Framework for Gold Price Prediction Combining Classical and Intelligent Methods with Financial, Economic, and Sentiment Data Fusion. (2025). Taneva-Angelova, Gergana ; Raychev, Stefan ; Ilieva, Galina.
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4. Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. (2024). Riccioni, Jessica ; Maggi, Mario ; Cerqueti, Roy.
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11. A comparative study on effect of news sentiment on stock price prediction with deep learning architecture. (2023). Pokhrel, Nawa Raj ; Dahal, Keshab Raj ; Joshi, Jeorge ; Banjade, Huta R ; Gupta, Ankrit ; Mahatara, Sharad ; Gaire, Santosh.
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12. Predict Stock Prices Using Supervised Learning Algorithms and Particle Swarm Optimization Algorithm. (2023). Hosseini, Soodeh ; Bazrkar, Mohammad Javad.
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20. Development of Intelligent Stock Trading System Using Pattern Independent Predictor and Turning Point Matrix. (2022). Song, Yoojeong ; Lee, Jong Woo.
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21. Bimodal Characteristic Returns and Predictability Enhancement via Machine Learning. (2022). Han, Chulwoo.
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22. A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models. (2022). Ser, Yee Chee ; Gerogiannis, Vassilis C ; Thong, Pham Huy ; Tuan, Nguyen Trung ; Li, Madeline Hui ; Son, Le Hoang ; Cuong, LE ; Selvachandran, Ganeshsree.
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23. Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment. (2022). Koenigstein, Nicole.
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24. Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction. (2022). Yin, Yilong ; Nie, Xiushan ; Li, Xiaojie ; Wang, Meng ; Du, Juan ; Zhang, Chunyun ; Cui, Chaoran.
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25. Analysis of Romanian Air Quality using Machine Learning Techniques. (2022). Niculae, Andreea-Mihaela.
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26. Multi-criteria optimization in regression. (2021). Tsionas, Mike.
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27. The Prediction of Gold Futures Prices at the Shanghai Futures Exchange Based on the MEEMD-CS-Elman Model. (2021). Ma, Ying ; Wang, Xiaowen ; Li, Wen.
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29. Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market. (2021). Jeong, Seunghwan ; Oh, Kyong Joo ; Nam, Hyun ; Lee, Hee Soo.
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30. Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda. (2021). Sharma, Gagan ; Chopra, Ritika.
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31. A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed. (2021). Elsaraiti, Meftah ; Merabet, Adel.
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32. Climate Finance: Mapping Air Pollution and Finance Market in Time Series. (2021). Fang, Zheng ; Wang, Sheng ; Peng, Ruiming ; Xie, Jian Ying.
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33. Study on early warnings of strategic risk during the process of firms’ sustainable innovation based on an optimized genetic BP neural networks model: Evidence from Chinese manufacturing firms. (2021). Duan, Yunlong ; Chin, Tachia ; Fang, Qifeng ; Yang, Meng ; Zhou, LI ; Mu, Chang ; Deng, Zhiqing.
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34. Forecasting stock index price using the CEEMDAN-LSTM model. (2021). Lin, YU ; Liao, Ying ; Yan, Yan ; Xu, Jiali ; Ma, Feng.
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35. Design and Analysis of Robust Deep Learning Models for Stock Price Prediction. (2021). Sen, Jaydip ; Mehtab, Sidra.
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36. The industrial asymmetry of the stock price prediction with investor sentiment: Based on the comparison of predictive effects with SVR. (2020). Liao, Zhewen ; Jin, Zhenni ; Sun, YI ; Lai, Lin ; Guo, Kun.
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37. Forecasting Monthly Prices of Gold Using Artificial Neural Network. (2020). Okezie, Uche-Ikonne ; Bright, Oiorha ; Maxwell, Obubu ; Chukwudike, Nwokike ; Henry, Ukomah ; Ala, Ugo.
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38. Valuation of the internal audit mechanisms in the decision support department of the local government organizations using mathematical programming. (2020). Petridis, Nikolaos E ; Drogalas, George ; Zografidou, Eleni.
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39. Predictive power of ARIMA models in forecasting equity returns: a sliding window method. (2020). Guo, Xiaomin ; Hu, Ruizhi ; Dong, Huijian ; Reichgelt, Han.
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40. Comparing Weighted Markov Chain and Auto-Regressive Integrated Moving Average in the Prediction of Under-5 Mortality Annual Closing Rates in Nigeria. (2020). Obasohan, Phillips Edomwonyi.
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41. An R-based forecasting approach for efficient demand response strategies in autonomous micro-grids. (2019). .
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42. HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction. (2019). Lee, Sang Hoon ; Kim, Raehyun ; Jeong, Minbyul ; Kang, Jaewoo ; Ho, Chan.
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43. Enhancing Stock Movement Prediction with Adversarial Training. (2019). He, Xiangnan ; Chua, Tat-Seng ; Sun, Maosong ; Ding, JI ; Chen, Huimin ; Feng, Fuli.
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44. Temporal Relational Ranking for Stock Prediction. (2019). Liu, Yiqun ; Wang, Xiang ; He, Xiangnan ; Chua, Tat-Seng ; Feng, Fuli ; Luo, Cheng.
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45. Adaptive Market Hypothesis and Artificial Neural Networks: Evidence from Pakistan. (2019). Ayub, Usman ; Kayani, Sehrish ; Jadoon, Imran Abbas.
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46. A Thick ANN Model for Forecasting Inflation. (2018). Iqbal, Javed ; Hanif, Muhammad ; Mughal, Khurrum S.
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47. Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network. (2018). Liu, Huicheng.
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48. Evaluating the Performance of Inflation Forecasting Models of Pakistan. (2015). Malik, Muhammad Jahanzeb ; Hanif, Muhammad.
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49. Portfolio optimization using local linear regression ensembles in RapidMiner. (2015). Henk, Tamas ; Barta, Gergo ; Nagy, Gabor.
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50. PREDICTING NEXT TRADING DAY CLOSING PRICE OF QATAR EXCHANGE INDEX USING TECHNICAL INDICATORS AND ARTIFICIAL NEURAL NETWORKS. (2014). Amani, Farzaneh ; Fadlalla, Adam.
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51. A neural network approach for credit risk evaluation. (2008). di Tollo, Giacomo ; Angelini, Eliana ; Roli, Andrea.
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