Known acknowledgements for support and /or discussions and / or help
- [2023] "Evidential Random Forests",
Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall,
in Expert Systems with Applications Année (ESWA)
- [2022] "Decision Trees for Event Signature Classification on Fiber Optic Cables in Quaternion Coordinates",
Essen Dossev, Petar Djukic, Christine Tremblay
European Conference on Optical Communication (ECOC)
- [2021] "Early classification of time series - Cost-based optimization criterion and algorithms",
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
(https://link.springer.com/article/10.1007/s10994-021-05974-z)
- [2015] "DGA Bot Detection with Time Series Decision Trees",
Anaël Bonneton, Daniel Migault, Stephane Senecal and Nizar Kheir,
workshop BADGERS 2015 (http://www.necoma-project.eu/badgers-2015/)
- [2015] "Reliable Predictions under Concept Drift: the Droplets Algorithm",
Pierre-Xavier Loeffel, Christophe Marsala, and Marcin Detyniecki,
IEEE/ACM International Conference on Data Science and Advanced Analytics (DSAA’2015)
- [2015]
"Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency",
Georg Krempl, Daniel Kottke, Myra Spiliopoulou
- [2015]
"Clustering-based optimised probabilistic active learning (copal)",
Georg Krempl, TC Ha, Myra Spiliopoulou
- [2014] "Probabilistic Active Learning: A Short Proposition"
Georg Krempl and Daniel Kottke and Myra Spiliopoulou,
European Conference on Artifical Intelligence (ECAI)
- [2013]
"Exploration and Exploitation of Scratch Games",
Féraud Raphaël and Urvoy Tanguy,
Machine Learning 2013
- [2012]
Clustering: Science or Art?,
Ulrike v. Luxburg, Bob Williamson and Isabelle Guyon,
Journal of Machine Learning Research Workshop and Conference Proceedings Volume 27, pp. 65-80, 2012.