| Comparing the performance of deep learning methods to predict companies’ financial failure H Aljawazneh, AM Mora, P García-Sánchez, PA Castillo-Valdivieso IEEE Access 9, 97010-97038, 2021 | 44 | 2021 |
| Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir. A Rodan, PA Castillo, H Faris, AM Mora, H Jawazneh ESANN, 2018 | 7 | 2018 |
| Empirical evaluation of advanced oversampling methods for improving bankruptcy prediction W Alswiti, H Faris, H Aljawazneh, S Safi, P Castillo, A Mora, R Abukhurma, ... Proceedings of the International Conference on Time Series and Forecasting …, 2018 | 6 | 2018 |
| Predicting the financial status of companies using data balancing and classification methods H Jawazneh, A Mora, P Castillo International Work-Conference on Time Series (ITISE 2017). Godel Impresiones …, 2017 | 5 | 2017 |
| Faculty of Business, Al-Zaytoonah University of Jordan, Amman, Jordan {huthaifa. rj, saad. yaseen, drqeethara}@ zuj. edu. jo H Aljawazneh Cutting-Edge Business Technologies in the Big Data Era: Proceedings of the …, 2023 | | 2023 |
| Bagging vs Boosting Ensemble Classifiers in Predicting Companies’ Financial Status H Aljawazneh, SG Yaseen, Q Al-Shayea Conference on Sustainability and Cutting-Edge Business Technologies, 1-9, 2023 | | 2023 |
| New approaches to improve the performance of machine learning and deep learning algorithms in solving real-world problems: companies financial failure forecasting HR Aljawazneh Universidad de Granada, 2022 | | 2022 |
| Identifying Botnets by Analysing Twitter Traffic during the Super Bowl. S Safi, H Jawazneh, AM Mora, P García-Sánchez, H Faris, PA Castillo IJCCI, 147-154, 2020 | | 2020 |
Pedro A. Castillo-ValdiviesoUniversidad de GranadaVerified email at ugr.es