Data analytics provides important tools and methods for processing the data generated
during legal services. This paper aims to provide a systematic survey of the research papers …

Abstract Legal Judgment Prediction (LJP) aims to predict the judgment result based on the
fact description of a criminal case, and is gradually becoming a hot research topic in the …

Abstract Legal Judgment Prediction (LJP) is an essential component of legal assistant
systems, which aims to automatically predict judgment results from a given criminal fact …

The objective of crime prediction, one of the most important technologies in social
computing, is to extract useful information from many existing criminal records to predict the …

Legal judgment prediction (LJP) automatically predicts the judgment results of a legal case
based on its fact description, which has excellent prospects in judicial assistance systems …

One of the most time-consuming parts of an attorney's job is finding similar legal cases.
Categorization of legal documents by their subject matter can significantly increase the …

Deep neural networks (DNNs) are vulnerable to adversarial examples (AEs), which are well-
designed input samples with imperceptible perturbations. Existing methods generate AEs to …

Legal judgment prediction implies predicting judgment results based on the case description
suitable for judgment predictions in legal terms, crimes, fines, and punishment. This study …

This paper studies the continuous motion capture system of a robotic arm based on MYO.
The MYO sensor can collect the electromyographic signal (sEMG) and the motion signal …

The task of prison term prediction is to predict the term of penalty based on the charge and
the seriousness of the sentencing plot. Most existing methods focus on improving prediction …