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ORCIDYann Dauxais
Person information
- affiliation (PhD 2018): University of Rennes 1, France
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Books and Theses
- 2018
[b1]Yann Dauxais:
Discriminant chronicle mining. (Exctraction de chroniques discriminantes). University of Rennes 1, France, 2018
Conference and Workshop Papers
- 2022
- [c11]Yann Dauxais, Urchade Zaratiana, Matthieu Laneuville, Simon David Hernandez, Pierre Holat, Charlie Grosman:
Towards Automation of Topic Taxonomy Construction. IDA 2022: 26-38 - 2020
- [c10]Radek Busa, Yann Dauxais, Stefan Ecklebe, Natasha Dropka, Martin Holena:
Extraction of Classification Rules from Sequences of Crystal Growth Data. ITAT 2020: 101-107 - [c9]Yann Dauxais, Thomas Guyet
:
Generalized Chronicles for Temporal Sequence Classification. AALTD@PKDD/ECML 2020: 30-45 - [c8]Clément Gautrais, Yann Dauxais, Samuel Kolb, Arcchit Jain, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt:
VisualSynth: Democratizing Data Science in Spreadsheets. ECML/PKDD (5) 2020: 550-554 - 2019
- [c7]Yann Dauxais, Clément Gautrais, Anton Dries, Arcchit Jain, Samuel Kolb, Mohit Kumar, Stefano Teso, Elia Van Wolputte, Gust Verbruggen, Luc De Raedt:
SynthLog: A Language for Synthesising Inductive Data Models (Extended Abstract). PKDD/ECML Workshops (1) 2019: 102-110 - 2018
- [c6]Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe:
Discriminant Chronicle Mining. EGC (best of volume) 2018: 89-118 - [c5]Yann Dauxais, Clément Gautrais:
Predicting Pass Receiver in Football Using Distance Based Features. MLSA@PKDD/ECML 2018: 145-151 - 2017
- [c4]Yann Dauxais, Thomas Guyet, David Gross-Amblard, André Happe:
Discriminant Chronicles Mining - Application to Care Pathways Analytics. AIME 2017: 234-244 - [c3]Thomas Guyet, André Happe, Yann Dauxais:
Declarative Sequential Pattern Mining of Care Pathways. AIME 2017: 261-266 - [c2]Yann Dauxais, David Gross-Amblard, Thomas Guyet, André Happe:
Extraction de chroniques discriminantes. EGC 2017: 165-176 - [c1]Clément Gautrais, Yann Dauxais, Maël Guillemé:
Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution. DC@PKDD/ECML 2017
Parts in Books or Collections
- 2022
- [p1]Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt:
Human-Machine Collaboration for Democratizing Data Science. Human-Like Machine Intelligence 2022: 379-402
Informal and Other Publications
- 2024
- [i4]Urchade Zaratiana, Nadi Tomeh, Yann Dauxais, Pierre Holat, Thierry Charnois:
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction. CoRR abs/2404.12493 (2024) - 2020
- [i3]Clément Gautrais, Yann Dauxais, Stefano Teso, Samuel Kolb, Gust Verbruggen, Luc De Raedt:
Human-Machine Collaboration for Democratizing Data Science. CoRR abs/2004.11113 (2020) - 2017
- [i2]Thomas Guyet, André Happe, Yann Dauxais:
Declarative Sequential Pattern Mining of Care Pathways. CoRR abs/1707.08342 (2017) - [i1]Yann Dauxais, Thomas Guyet, David Gross-Amblard, André Happe:
Discriminant chronicles mining: Application to care pathways analytics. CoRR abs/1709.03309 (2017)
Coauthor Index
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