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Found 6 papers, 3 papers with code
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
Our results also showed that multi-view models generate prediction sets with less uncertainty compared to single-view models.
Conformal Prediction in Multi-User Settings: An Evaluation
Although those strategies are better suited for multi-user systems, they are typically assessed with respect to performance metrics that capture the overall behavior of the models and do not provide any performance guarantees for individual predictions nor they provide any feedback about the predictions' uncertainty.
On The Reliability Of Machine Learning Applications In Manufacturing Environments
The increasing deployment of advanced digital technologies such as Internet of Things (IoT) devices and Cyber-Physical Systems (CPS) in industrial environments is enabling the productive use of machine learning (ML) algorithms in the manufacturing domain.
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Additionally, we provide a baseline for the segmentation of the GI tools to promote research and algorithm development.
Ranked #2 on
Medical Image Segmentation
on Kvasir-Instrument
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
In this paper we present the results of a feature importance analysis of a chemical sulphonation process.
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
In this paper, we present the results of applying machine learning methods during a chemical sulphonation process with the objective of automating the product quality analysis which currently is performed manually.
