( en | de | ru )

 

Disambiguation of "Ludermir, Teresa Bernarda"

Author of the publication

copydeleteadd this publication to your clipboard
Selection of Time Series Forecasting Models based on Performance Information.

, , and . HIS, page 366-371. IEEE Computer Society, (2004)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernarda Perc

Bernarda Wagner

Bernarda Heseding

Teresa Edenfeld

Charakterisierung der Funktion der Proteinkinase D2 als Regulator der Chromogranin-A-Sekretion in humanen BON neuroendokrinen Tumorzellen. Uni Ulm, (2010)

Teresa Carlomagno

 

Other publications of authors with the same name

Selection of Models for Time Series Prediction via Meta-Learning., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 74-83. IOS Press, (2002)Obtaining Simplified Rule Bases by Hybrid Learning., and . ICML, page 879-886. Morgan Kaufmann, (2000)Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering., and . IJCNN, page 1-7. IEEE, (2019)Active Generation of Training Examples in Meta-Regression., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 30-39. Springer, (2009)Semantic mapping and K-means applied to hybrid SOM-based document organization system construction., and . SAC, page 1112-1116. ACM, (2008)River Flow Forecasting with Constructive Neural Network., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2005)Active selection of training instances for a random forest meta-learner., , , and . IJCNN, page 1-7. IEEE, (2013)Frankenstein PSO applied to neural network weights and architectures., and . IEEE Congress on Evolutionary Computation, page 2452-2456. IEEE, (2011)SegNetRes-CRF: A Deep Convolutional Encoder-Decoder Architecture for Semantic Image Segmentation., , , , , and . IJCNN, page 1-6. IEEE, (2018)Have we been Naive to Select Machine Learning Models? Noisy Data are here to Stay!, , and . CoRR, (2022)