John Wandeto - Publications

Affiliations: 
2015-2018 Neuroscience Strasbourg University/CNRS France 

0/6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
Low-probability matches (unlikely to be authored by this person)
2021 Dresp-Langley B, Wandeto JM. Human Symmetry Uncertainty Detected by a Self-Organizing Neural Network Map Symmetry. 13: 299. DOI: 10.3390/sym13020299  0.241
2019 Wandeto JM, Dresp-Langley B. The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. Neural Networks : the Official Journal of the International Neural Network Society. 119: 273-285. PMID 31473578 DOI: 10.1016/j.neunet.2019.08.014  0.161
2019 Wandeto JM, Dresp-Langley B. Reprint of: The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. Neural Networks : the Official Journal of the International Neural Network Society. PMID 31610898 DOI: 10.1016/J.Neunet.2019.09.017  0.161
2020 Dresp-Langley B, Wandeto JM. Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data. Informatics in Medicine Unlocked. 20: 100433. PMID 32984498 DOI: 10.1016/j.imu.2020.100433  0.126
2017 Wandeto JM, Nyongesa H, Rémond Y, Dresp-Langley B. Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection Informatics in Medicine Unlocked. 7: 39-45. DOI: 10.1016/J.Imu.2017.03.001  0.113
2023 Liu R, Wandeto J, Nageotte F, Zanne P, de Mathelin M, Dresp-Langley B. Spatiotemporal Modeling of Grip Forces Captures Proficiency in Manual Robot Control. Bioengineering (Basel, Switzerland). 10. PMID 36671631 DOI: 10.3390/bioengineering10010059  0.034
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