Daniel Horn

21 papers A 2B 3C 1Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
The impact of random tree depth - a novel randomization process for ensemble methods.
Comput. Stat.
Daniel Horn, Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Carsten Jentsch
2025 J jnl
Adaptive Resampling with Bootstrap for Noisy Multi-Objective Optimization Problems.
CoRR
Timo Budszuhn, Mark Joachim Krallmann, Daniel Horn
2025 J jnl
Old but Gold or New and Shiny? Comparing Tree Ensembles for Ordinal Prediction with a Classic Parametric Approach.
J. Classif.
Philip Buczak, Daniel Horn, Markus Pauly
2024 B conf
A Benchmark for Rule Induction in Automated Business Decisions.
RuleML+RR
Hagen Völzer, Daniel Horn, Yusik Kim, Greger Ottosson
2023 B conf
Contextual Shift Method (CSM).
DaWaK
Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller
2023 B conf
RODD: Robust Outlier Detection in Data Cubes.
DaWaK
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
2023 J jnl
RODD: Robust Outlier Detection in Data Cubes.
CoRR
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
2022 Misc conf
Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians.
AMIA
Lisa S. Rotenstein, Richard Gitomer, Michael J. Healey, Daniel Horn, David Yut-Chee Ting, Stuart R. Lipsitz, Hojjat Salmasian, David W. Bates
2021 J jnl
Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning.
CoRR
Philip Buczak, Daniel Horn
2020 J jnl
Random boosting and random^2 forests - A random tree depth injection approach.
CoRR
Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch
2019 — —
Multi-objective analysis of machine learning algorithms using model-based optimization techniques
Daniel Horn
2019 A conf
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis.
GECCO
Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer
2018 — conf
A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces.
PPSN (2)
Martin Zaefferer, Daniel Horn
2018 J jnl
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces.
CoRR
Martin Zaefferer, Daniel Horn
2018 J jnl
A comparative study on large scale kernelized support vector machines.
Adv. Data Anal. Classif.
Daniel Horn, Aydin Demircioglu, Bernd Bischl, Tobias Glasmachers, Claus Weihs
2017 C conf
First Investigations on Noisy Model-Based Multi-objective Optimization.
EMO
Daniel Horn, Melanie Dagge, Xudong Sun, Bernd Bischl
2016 J jnl
Fast model selection by limiting SVM training times.
CoRR
Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs
2016 A conf
Multi-objective Selection of Algorithm Portfolios: Experimental Validation.
PPSN
Daniel Horn, Karin Schork, Tobias Wagner
2016 — conf
Multi-objective parameter configuration of machine learning algorithms using model-based optimization.
SSCI
Daniel Horn, Bernd Bischl
2015 — conf
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark.
EMO (1)
Daniel Horn, Tobias Wagner, Dirk Biermann, Claus Weihs, Bernd Bischl
2014 — conf
Big Data Classification : Aspects on Many Features and Many Observations.
ECDA
Claus Weihs, Daniel Horn, Bernd Bischl