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An Explainable Regression Framework for Predicting Remaining Useful Life of Machines
The task is treated as a regression problem where Machine Learning (ML) algorithms are used to predict the RUL of machine components.
Explainable Event Recognition
The results of the study indicate that 78%, 84%, and 78% of the model decisions on natural disasters, sports, and social events datasets, respectively, are based onevent-related objects or regions.
Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset
In this work, we propose a pipeline starting from manual annotation via a crowd-sourcing study and concluding on the development and training of AI models for automatic sentiment analysis of users' reviews.
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