Research output per year
Research output per year
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Dive into the research topics where Ron Triepels is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Development of machine learning models to predict posterior capsule rupture based on the EUREQUO registry
Triepels, R. J. M. A., Segers, M. H. M., Rosen, P., Nuijts, R. M. M. A., van den Biggelaar, F. J. H. M., Henry, Y. P., Stenevi, U., Tassignon, M. J., Young, D., Behndig, A., Lundstroem, M. & Dickman, M. M., Sept 2023, In: Acta Ophthalmologica. 101, 6, p. 644-650 7 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving
Triepels, R., 1 Jun 2023, Artificial Intelligence Applications and Innovations: 19th IFIP WG 12.5 International Conference, AIAI 2023 León, Spain, June 14-17, 2023 Proceedings, Part II. Maglogiannis, I., Iliadis, L., MacIntyre, J. & Dominguez, M. (eds.). Springer, Cham, p. 491-502 12 p. (IFIP Advances in Information and Communication Technology, Vol. 676).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Prediction of posterior capsule rupture with machine learning based on the EUREQUO
Triepels, R. J. M. A., Segers, M. H. M., Nuijts, R. M. M. A., Rosen, P., Henry, Y. P., Stenevi, U., Tassignon, M. J., Young, D., Behndig, A., Lundstrom, M. & Dickman, M. M., 1 Jun 2022, In: Acta Ophthalmologica. 100, s268, p. 37-38 2 p.Research output: Contribution to journal › Conference Abstract/Poster in journal › Academic
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Anomaly Detection by Robust Feature Reconstruction
Triepels, R., 1 Jul 2021, Proceedings of the 22nd Engineering Applications of Neural Networks Conference : EANN 2021. Iliadis, L., MacIntyre, J., Jayne, C. & Pimenidis, E. (eds.). Springer, Cham, p. 42-53 11 p. (Proceedings of the International Neural Networks Society, Vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
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Monitoring Liquidity Management of Banks With Recurrent Neural Networks
Triepels, R., Daniels, H. & Berndsen, R., Jan 2021, In: Computational Economics. 57, 1, p. 89-112 24 p.Research output: Contribution to journal › Article › Academic › peer-review
Prizes
Activities
- 2 Talk or presentation - at conference
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Detection of Anomalous Intraday Liquidity Management Using Recurrent Neural Networks
Triepels, R. (Speaker)
2018Activity: Talk or presentation / Performance / Speeches › Talk or presentation - at conference › Academic
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A Comparison of Three Models to Predict Liquidity Flows Between Banks Based on Daily Payment Transactions
Triepels, R. (Speaker)
2016Activity: Talk or presentation / Performance / Speeches › Talk or presentation - at conference › Academic
Press/Media
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Improving Preoperative Prediction of PCR
25/02/24
1 item of Media coverage
Press/Media: Research › Popular