Specification-driven predictive business process monitoring
Sign Up to like & getrecommendations! Published in 2019 at "Software and Systems Modeling"
DOI: 10.1007/s10270-019-00761-w
Abstract: Predictive analysis in business process monitoring aims at forecasting the future information of a running business process. The prediction is typically made based on the model extracted from historical process execution logs (event logs). In… read more here.
Keywords: specification; prediction tasks; prediction; business process ... See more keywords
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3268640
Abstract: Deep convolutional neural networks for dense prediction tasks are commonly optimized using synthetic data, as generating pixel-wise annotations for real-world data is laborious. However, the synthetically trained models do not generalize well to real-world environments.… read more here.
Keywords: dense prediction; method; shortcut; prediction tasks ... See more keywords
Democratizing AI: non-expert design of prediction tasks
Sign Up to like & getrecommendations! Published in 2020 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.296
Abstract: Non-experts have long made important contributions to machine learning (ML) by contributing training data, and recent work has shown that non-experts can also help with feature engineering by suggesting novel predictive features. However, non-experts have… read more here.
Keywords: non experts; design prediction; prediction tasks;