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Anzahl der Publikationen: 8
Zeitschriftenartikel
Nalenz, Malte 
ORCID: https://orcid.org/0000-0003-3439-4469; Rodemann, Julian und Augustin, Thomas
(2024):
Learning de-biased regression trees and forests from complex samples.
In: Machine Learning, Bd. 113: S. 3379-3398
[PDF, 1MB]
ORCID: https://orcid.org/0000-0003-3439-4469; Rodemann, Julian und Augustin, Thomas
(2024):
Learning de-biased regression trees and forests from complex samples.
In: Machine Learning, Bd. 113: S. 3379-3398
[PDF, 1MB]
Blocher, Hannah ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
Seibold, Heidi; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2022):
Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 16(6), e0269047 [PDF, 166kB]
In: PLOS ONE 16(6), e0269047 [PDF, 166kB]
Seibold, Heidi ORCID: https://orcid.org/0000-0002-8960-9642; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah ORCID: https://orcid.org/0000-0003-0472-6848; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2021):
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 17(5), e0251194 [PDF, 614kB]
ORCID: https://orcid.org/0000-0002-8960-9642; Czerny, Severin; Decke, Siona; Dieterle, Roman; Eder, Thomas; Fohr, Steffen; Hahn, Nico; Hartmann, Rabea; Heindl, Christoph; Kopper, Philipp; Lepke, Dario; Loidl, Verena; Mandl, Maximilian; Musiol, Sarah ORCID: https://orcid.org/0000-0003-0472-6848; Peter, Jessica; Piehler, Alexander; Rojas, Elio; Schmid, Stefanie; Schmidt, Hannah; Schmoll, Melissa; Schneider, Lennart ORCID: https://orcid.org/0000-0003-4152-5308; To, Xiao-Yin; Tran, Viet; Völker, Antje; Wagner, Moritz; Wagner, Joshua; Waize, Maria; Wecker, Hannah; Yang, Rui; Zellner, Simone und Nalenz, Malte
(2021):
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
In: PLOS ONE 17(5), e0251194 [PDF, 614kB]
Paper
Nalenz, Malte und Augustin, Thomas
(11. November 2021):
Cultivated Random Forests: Robust Decision Tree
Learning through Tree Structured Ensembles.
Department of Statistics: Technical Reports, Nr. 240
[PDF, 463kB]
Fütterer, Cornelia; Nalenz, Malte und Augustin, Thomas
(11. November 2021):
Discriminative Power Lasso - Incorporating Discriminative Power of Genes into Regularization-Based Variable Selection.
Department of Statistics: Technical Reports, Nr. 239
[PDF, 436kB]
Konferenzbeitrag
Blocher, Hannah ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Jansen, Christoph und Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469
(2023):
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms.
International Symposium on Imprecise Probability: Theories and Applications, Oviedo, Spain, 11-14 July 2023.
In: Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications,
S. 59-71
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Jansen, Christoph und Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469
(2023):
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms.
International Symposium on Imprecise Probability: Theories and Applications, Oviedo, Spain, 11-14 July 2023.
In: Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications,
S. 59-71
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-6112-4136; Fischer, Sebastian; Schneider, Lennart; Nalenz, Malte und Augustin, Thomas
(13. Dezember 2022):
Not All Data Are Created Equal: Lessons From Sampling Theory For Adaptive Machine Learning.
IMS International Conference on Statistics and Data Science (ICSDS), Florenz, December 13, 2022 - December 16, 2022.
[PDF, 1MB]