WANG, X. L., & BRORSSON, M. H. (In press). Which company adjustment matter? Insights from Uplift Modeling on Financial Health [Paper presentation]. The 9th Workshop on MIning DAta for financial applicationS in conjunction with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Vilnius, Lithuania. ![]() |
![]() ![]() | WANG, X. L., & BRORSSON, M. H. (January 2025). Can Large language model analyze financial statements well? [Paper presentation]. The Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal) In conjunction with COLING-2025, Abu Dhabi, United Arab Emirates. ![]() |
![]() ![]() | WANG, X. L., Kräussl, Z., & BRORSSON, M. H. (2024). Datasets for Advanced Bankruptcy Prediction: A survey and Taxonomy. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/63483. |
![]() ![]() | WANG, X. L., & BRORSSON, M. (2024). Augmenting Bankruptcy Prediction Using Reported Behavior of Corporate Restructuring. In Intelligent Computers, Algorithms, and Applications. Springer Nature Singapore. doi:10.1007/978-981-97-0065-3_8 ![]() |
![]() ![]() | WANG, X. L., Kraussl, Z., ZURAD, M., & BRORSSON, M. H. (2023). Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction. In X. L. WANG, Z. KRÄUSSL, M. Zurad, ... M. H. BRORSSON, Effective Automatic Feature Engineering on Financial Statements for Bankruptcy Prediction. Unknown/unspecified: IEEE Xplore. doi:10.1109/iceccme57830.2023.10252608 ![]() |
![]() ![]() | WANG, X. L., BLANCO, B., & BRORSSON, M. H. (2022). REPORT OF DATA FUSION AND EVALUATION. Luxembourg, Luxembourg: SNT uni.lu. https://orbilu.uni.lu/handle/10993/51574 |
![]() ![]() | WANG, X. L., BLANCO, B., & BRORSSON, M. H. (2021). REPORT OF DATA SOURCES. Luxembourg, Luxembourg: SnT Uni.lu. https://orbilu.uni.lu/handle/10993/48690 |