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Disambiguation of "Macas, Martin"

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Sensitivity based selection of inputs and delays for NARX models.

, and . EAI Endorsed Trans. Self-Adaptive Systems, 2 (5): e3 (2016)

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Martin Hofsäß University of Stuttgart

Lidar error in complex terrain - case study based on two measurement campaigns, , , , and . Journal of Physics: Conference Series, 2767 (4): 042032 (June 2024)

Martin Baumann

Martin Schwartz University of Stuttgart

Martin Alvarez University of Stuttgart

Univ. -Prof. Martin Ostermann University of Stuttgart

 

Other publications of authors with the same name

Simplified Social Impact Theory Based Optimizer in Feature Subset Selection., and . NICSO, volume 387 of Studies in Computational Intelligence, page 133-147. Springer, (2011)Sensitivity based selection of inputs and delays for NARX models., and . EAI Endorsed Trans. Self-Adaptive Systems, 2 (5): e3 (2016)Expert-in-the-loop Learning for Sleep EEG Data., , , , , and . BIBM, page 2590-2596. IEEE Computer Society, (2018)Particle Swarm Optimisation of Multiple Classifier Systems., , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 333-340. Springer, (2007)A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas., , , , and . ITBAM, volume 10443 of Lecture Notes in Computer Science, page 66-81. Springer, (2017)Adaptive Segmentation Optimization for Sleep Spindle Detector., , , and . ITBAM, volume 9832 of Lecture Notes in Computer Science, page 85-96. Springer, (2016)Importance of Feature Selection for Recurrent Neural Network Based Forecasting of Building Thermal Comfort., , , , , , , and . ICAIS, volume 8779 of Lecture Notes in Computer Science, page 11-19. Springer, (2014)Innovative default prediction approach., , , , and . Expert Syst. Appl., 42 (17-18): 6277-6285 (2015)Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation., , and . HIS, page 150-155. IEEE Computer Society, (2007)Binary social impact theory based optimization and its applications in pattern recognition., , , , , , , and . Neurocomputing, (2014)