Deep Learning und Mustererkennung in Sensor Datenströmen

Projekte:
PathMate2, Smart Farming, F-Predict

Events:
Summerschool 2018

Publikationen:
Shcherbatyi, I. & Maaß, W. Joint Input and Predictive Model Parameters Selection for Financial Forecasting, European Conference on Data Analysis (ECDA), 2018. BibTeX

Maaß, W. & Shcherbatyi, I. Inductive Discovery By Machine Learning for Identification of Structural Models, The 37th International Conference on Conceptual Modeling (ER), 2018. BibTeX

Öksüz, N., Biswas, R., Shcherbatyi, I., Maass, W. Davis, F., Riedl, R., vom Brocke, J., Léger, P. M., Randolph, N. (Hrsg.) Measuring Biosignals of Overweight and Obese Children for Real-time Feedback and Predicting Performance, Information Systems and Neuroscience - Gmunden Retreat on NeuroIS 2017, Springer, 2017.

Öksüz, N. Erfassung und Analyse von kundenindividuellen Bio-Signalen in Handelsumgebungen, 2016.