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Jérémie Despraz
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2020 – today
- 2024
- [c5]Bogdan Kulynych, Jérémie Despraz, Christian Simon, Jean Louis Raisaro:
Evaluating Synthetic Data Augmentation to Correct for Data Imbalance in Realistic Clinical Prediction Settings. MIE 2024: 929-933 - [c4]Bogdan Kulynych, Jérémie Despraz, Jean Louis Raisaro:
Tunable Privacy Risk Evaluation of Generative Adversarial Networks. MIE 2024: 1233-1237 - 2022
- [c3]Bayrem Kaabachi, Jérémie Despraz, Thierry Meurers, Fabian Prasser, Jean Louis Raisaro:
Generation and Evaluation of Synthetic Data in a University Hospital Setting. MIE 2022: 141-142
2010 – 2019
- 2018
- [i1]Maria Camila Alvarez Trivino, Jérémie Despraz, Jesús Alfonso López Sotelo, Carlos Andrés Peña:
Deep Learning on Retina Images as Screening Tool for Diagnostic Decision Support. CoRR abs/1807.09232 (2018) - 2017
- [c2]Jérémie Despraz, Stéphane Gomez, Héctor F. Satizábal, Carlos Andrés Peña-Reyes:
Exploring Internal Representations of Deep Neural Networks. IJCCI (Selected Papers) 2017: 119-138 - [c1]Jérémie Despraz, Stéphane Gomez, Héctor F. Satizábal, Carlos Andrés Peña-Reyes:
Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks. IJCCI 2017: 215-222
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last updated on 2024-10-23 21:21 CEST by the dblp team
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