9 citations · 16 across the 5 of their papers we have counts for
6 papers
Multi-View Conformal Learning for Heterogeneous Sensor Fusion
Enrique Garcia-Ceja
Being able to assess the confidence of individual predictions in machine learning models is crucial for decision making scenarios. Specially, in critical applications such as medic…
Conformal Prediction in Multi-User Settings: An Evaluation
Enrique Garcia-Ceja, Luciano Garcia-Banuelos, Nicolas Jourdan
Typically, machine learning models are trained and evaluated without making any distinction between users (e.g, using traditional hold-out and cross-validation). However, this prod…
On The Reliability Of Machine Learning Applications In Manufacturing Environments
Nicolas Jourdan, Sagar Sen, Erik Johannes Husom +3
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 prod…
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
Debesh Jha, Sharib Ali, Krister Emanuelsen +9
Gastrointestinal (GI) pathologies are periodically screened, biopsied, and resected using surgical tools. Usually the procedures and the treated or resected areas are not specifica…
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process
Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4
In this paper we present the results of a feature importance analysis of a chemical sulphonation process. The task consists of predicting the neutralization number (NT), which is a…
Towards the Automation of a Chemical Sulphonation Process with Machine Learning
Enrique Garcia-Ceja, Åsmund Hugo, Brice Morin +4
Nowadays, the continuous improvement and automation of industrial processes has become a key factor in many fields, and in the chemical industry, it is no exception. This translate…