most citedBenchmarking Machine Learning Models to Predict Corporate Bankruptcy

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting

Md Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha +3

Time series forecasting remains a challenging task, particularly in the context of complex multiscale temporal patterns. This study presents LLM-Mixer, a framework that improves fo…

q-fin.CP2022★ 2 cited

Benchmarking Machine Learning Models to Predict Corporate Bankruptcy

Emmanuel Alanis, Sudheer Chava, Agam Shah

Using a comprehensive sample of 2,585 bankruptcies from 1990 to 2019, we benchmark the performance of various machine learning models in predicting financial distress of publicly t…