Yann Dauxais

According to our database, Yann Dauxais authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Towards Automation of Topic Taxonomy Construction.

Yann Dauxais, Urchade Zaratiana, Matthieu Laneuville, Simon David Hernandez, Pierre Holat, Charlie Grosman

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

Human-Machine Collaboration for Democratizing Data Science.

Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt

Proceedings of the Human-Like Machine Intelligence., 2022

2020

Human-Machine Collaboration for Democratizing Data Science.

Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt

CoRR, 2020

VisualSynth: Democratizing Data Science in Spreadsheets.

Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Generalized Chronicles for Temporal Sequence Classification.

Yann Dauxais, Thomas Guyet

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Extraction of Classification Rules from Sequences of Crystal Growth Data.

Radek Busa, Yann Dauxais, Stefan Ecklebe, Natasha Dropka, Martin Holena

Proceedings of the 20th Conference Information Technologies, 2020

2019

SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract).

Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Discriminant chronicle mining. (Exctraction de chroniques discriminantes).

Yann Dauxais

PhD thesis, 2018

Predicting Pass Receiver in Football Using Distance Based Features.

Yann Dauxais, Clément Gautrais

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Discriminant Chronicle Mining.

Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe

Proceedings of the Advances in Knowledge Discovery and Management, 2018

2017

Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution.

Clément Gautrais, Yann Dauxais, Maël Guillemé

Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Extraction de chroniques discriminantes.

Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Declarative Sequential Pattern Mining of Care Pathways.

Thomas Guyet, André Happe, Yann Dauxais

Proceedings of the Artificial Intelligence in Medicine, 2017

Discriminant Chronicles Mining - Application to Care Pathways Analytics.

Yann Dauxais, Thomas Guyet, David Gross-Amblard, André Happe

Proceedings of the Artificial Intelligence in Medicine, 2017