Search Results for author: Philippe Thomas

Found 16 papers, 2 papers with code

SIA: A Scalable Interoperable Annotation Server for Biomedical Named Entities

1 code implementation8 Apr 2020 Johannes Kirschnick, Philippe Thomas, Roland Roller, Leonhard Hennig

Recent years showed a strong increase in biomedical sciences and an inherent increase in publication volume.

A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events

no code implementations LREC 2018 Martin Schiersch, Veselina Mironova, Maximilian Schmitt, Philippe Thomas, Aleksandra Gabryszak, Leonhard Hennig

Monitoring mobility- and industry-relevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume text streams remains a significant challenge.

Management named-entity-recognition +2

Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process

no code implementations5 Apr 2018 Philippe Thomas, Hind Bril El Haouzi, Marie-Christine Suhner, André Thomas, Emmanuel Zimmermann, Mélanie Noyel

In this study, a proactive quality monitoring and control approach based on classifiers to predict defect occurrences and provide optimal values for factors critical to the quality processes is proposed.

Classification General Classification +1

Clickbait Identification using Neural Networks

no code implementations24 Oct 2017 Philippe Thomas

This paper presents the results of our participation in the Clickbait Detection Challenge 2017.

Clickbait Detection

An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry

no code implementations23 Oct 2017 Cyrine Selma, Hind Haouzi, Philippe Thomas, Jonathan Gaudreault, Michael Morin

In the Canadian's lumber industry, simulators are used to predict the lumbers resulting from the sawing of a log at a given sawmill.

BIG-bench Machine Learning

A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study

no code implementations11 Oct 2017 Emmanuel Zimmermann, Hind Haouzi, Philippe Thomas, André Thomas, Melanie Noyel

The purpose of this study is to investigate an approach to group lots in batches and to schedule these batches on Acta-Mobilier cutting work-center while taking into account numerous constraints and objectives.

Management

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