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Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
Research article (Sensors, 2020) · cited 30× · AI/ML
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
Summary
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals is a scholarly article[1].
Key Facts
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-detection-of-presymptomatic-conditions-in-spinocerebellar-ataxia-type-2-using-monte-carlo-dropout-and-deep-neu
MLA“Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-detection-of-presymptomatic-conditions-in-spinocerebellar-ataxia-type-2-using-monte-carlo-dropout-and-deep-neu.
BibTeX@misc{4ortxyz_automated-detection-of-presymptomatic-conditions-in-spinocerebellar-ataxia-type-2-using-monte-carlo-dropout-and-deep-neu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals}}, year = {2026}, url = {https://4ort.xyz/entity/automated-detection-of-presymptomatic-conditions-in-spinocerebellar-ataxia-type-2-using-monte-carlo-dropout-and-deep-neu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals — https://4ort.xyz/entity/automated-detection-of-presymptomatic-conditions-in-spinocerebellar-ataxia-type-2-using-monte-carlo-dropout-and-deep-neu (retrieved 2026-05-24)
