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ORCIDJérôme Treboux
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2020 – today
- 2021
[c9]Jérôme Treboux, Rolf Ingold, Dominique Genoud:
Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers. ESANN 2021- [c8]Jérôme Treboux, Dominique Genoud, Rolf Ingold
:
Improved Line Detection in Images using Neural Networks and DTE Subclassifiers. EUVIP 2021: 1-6 - 2020
- [c7]Jérôme Treboux, Rolf Ingold, Dominique Genoud:
Towards Retraining of Machine Learning Algorithms: An Efficiency Analysis Applied to Smart Agriculture. GIoTS 2020: 1-6
2010 – 2019
- 2019
- [c6]Jérôme Treboux, Dominique Genoud:
High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms. SDS 2019: 103-108 - 2018
- [c5]Jerome Treboux, Dominique Genoud:
Improved Machine Learning Methodology for High Precision Agriculture. GIoTS 2018: 1-6 - [c4]Jérôme Treboux, Dominique Genoud, Rolf Ingold:
Decision Tree Ensemble Vs. N.N. Deep Learning: Efficiency Comparison For A Small Image Dataset. IWBIS 2018: 25-30 - 2016
- [c3]Jérôme Treboux, Fabian Cretton, Florian Evéquoz, Anne Le Calvé, Dominique Genoud:
Mining and Visualizing Social Data to Inform Marketing Decisions. AINA 2016: 66-73 - 2015
- [c2]Jerome Treboux, Antonio J. Jara, Luc Dufour, Dominique Genoud:
A predictive data-driven model for traffic-jams forecasting in smart santader city-scale testbed. WCNC Workshops 2015: 64-68 - [c1]Luc Dufour, Dominique Genoud, Antonio J. Jara, Jerome Treboux, Bruno Ladevie, Jean Jacques Bezian:
A non-intrusive model to predict the exible energy in a residential building. WCNC Workshops 2015: 69-74
Coauthor Index
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