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Found 7 papers, 0 papers with code
Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly
Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge and classifications.
A Neuro-Symbolic Explainer for Rare Events: A Case Study on Predictive Maintenance
The system can present global explanations for the black box model and local explanations for why the black box model predicts a failure.
Super-Resolution Analysis for Landfill Waste Classification
Illegal landfills are a critical issue due to their environmental, economic, and public health impacts.
From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning
But randomly sampling data to be annotated is often inefficient as it ignores the characteristics of the data and the specific needs of the model.
Explainable Predictive Maintenance
We provide an overview of predictive maintenance tasks and accentuate the need and varying purposes for corresponding explanations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Modeling Events and Interactions through Temporal Processes -- A Survey
Point Processes provide a natural mathematical framework for modeling these sequences of events.
A Benchmark dataset for predictive maintenance
The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal.
