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Forecasting performance of regional innovation systems using semantic-based genetic programming with local search optimizer

Hájek, Petr; Henriques, Roberto; Castelli, Mauro; … - In: Computers & operations research : and their … 106 (2019), pp. 179-190

Persistent link: https://www.econbiz.de/10012014407

Product backorder prediction using deep neural network on imbalanced data

Shajalal, Md; Hájek, Petr; Abedin, Mohammad Zoynul - In: International journal of production research 61 (2023) 1, pp. 302-319

Persistent link: https://www.econbiz.de/10013530905

Predicting abnormal stock return volatility using textual analysis of news : a meta-learning approach

Myšková, Renáta; Hájek, Petr; Olej, Vladimír - In: Amfiteatru economic : an economic and business research … 20 (2018) 47, pp. 185-201

Textual analysis of news articles is increasingly important in predicting stock prices. Previous research has intensively utilized the textual analysis of news and other firm-related documents in volatility prediction models. It has been demonstrated that the news may be related to abnormal...

Persistent link: https://www.econbiz.de/10011881761

Cryptocurrency price forecasting : a comparative analysis of ensemble learning and deep learning methods

Bouteska, Ahmed; Abedin, Mohammad Zoynul; Hájek, Petr; … - In: International review of financial analysis 92 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014492430

Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications

Abedin, Mohammad Zoynul (ed.); Hájek, Petr (ed.) - 2023

Part 1: Recent Developments in FinTech -- 1. FinTech Risk Management and Monitoring -- 2. Digital Transformation of Supply Chain with Supportive Culture in Blockchain Environment -- 3. Integration of Artificial Intelligence Technology in Management Accounting Information System - An Empirical...

Persistent link: https://www.econbiz.de/10014226726

How well do investor sentiment and ensemble learning predict Bitcoin prices?

Hájek, Petr; Hikkerova, Lubica; Sahut, Jean-Michel - In: Research in international business and finance 64 (2023), pp. 1-16

Persistent link: https://www.econbiz.de/10014266603

Nonlinearity in forecasting energy commodity prices : evidence from a focused time-delayed neural network

Bouteska, Ahmed; Hájek, Petr; Fisher, Ben; Abedin, … - In: Research in international business and finance 64 (2023), pp. 1-15

Persistent link: https://www.econbiz.de/10014266733

Predicting prices of the US and G7 stock indices in uncertain times : evidence from the application of a hybrid neural network

Bouteska, Ahmed; Sharif, Taimur; Hájek, Petr; Abedin, … - In: Journal of behavioral and experimental economics 116 (2025), pp. 1-14

Persistent link: https://www.econbiz.de/10015402220