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Found 3 papers, 1 papers with code
No Time Like the Present: Effects of Language Change on Automated Comment Moderation
As a result, there is growing interest in using machine learning and natural language processing for (semi-) automated abusive language detection to avoid manual comment moderation costs or having to shut down comment sections altogether.
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
PBPM techniques aim to improve process performance by providing predictions to process analysts, supporting them in their decision making.
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned with its goals.
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