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The ANN model with five layers is used to classify and predict the categories of lawsuits, and its Top 1 accuracy is 40.803%, and Top 2 accuracy is 21.243%.
Abstract—In this paper, based on the comprehensive information of companies, 612 characteristic parameters are extracted and mined, and two prediction ...
The authors used a Bidirectional Long Short-Term Memory model that reached an F1 score of 84%, dismissing the need to run an OCR on the remaining pages of ...
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The experimental results show that the random forest model outperformed the other models and achieved good performance, and “the mental suffering damages that ...
May 26, 2022 · In [8], an algorithm based on the extreme learning machine (ELM) technique is proposed to predict the state-of-charge of lithium batteries, in ...
May 3, 2024 · One use of AI in the legal field is to predict court rulings on potential litigation issues. AI tools can analyze extremely large volumes of ...
The outcome prediction is seen as a binary classification problem for classes 'Acquittal' and 'Conviction' of the accused person. Conventional machine learning ...
Jan 11, 2021 · In our paper Predicting Litigation Risk via Machine Learning, we suggest that these underlying estimates can be more accurately predicted using ...
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Using deep learning to predict outcomes of legal appeals better ...
www.ncbi.nlm.nih.gov › PMC9333285
Lawyers and their clients try to predict the outcome of lawsuits, hoping to improve their chances of achieving favorable results. Despite being neutral players, ...
May 11, 2023 · In legal domains, machine learning is having an important impact on prediction, the automated examination of legal documents, and the analysis ...