Daniel Horn

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Outlier Detection

Machine Learning

Support Vector Machine

Top Venues

Publications

Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. DaWaK (2023)
Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller
Contextual Shift Method (CSM). DaWaK (2023)
Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn
RODD: Robust Outlier Detection in Data Cubes. CoRR (2023)
Lisa S. Rotenstein, Richard Gitomer, Michael J. Healey, Daniel Horn, David Ting, Stuart R. Lipsitz, Hojjat Salmasian, David W. Bates
Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians. AMIA (2022)
Philip Buczak, Daniel Horn
Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning. CoRR (2021)
Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch
Random boosting and random^2 forests - A random tree depth injection approach. CoRR (2020)
Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis. GECCO (2019)
Daniel Horn, Aydin Demircioglu, Bernd Bischl, Tobias Glasmachers, Claus Weihs
A comparative study on large scale kernelized support vector machines. Adv. Data Anal. Classif. 12 (4) (2018)
Martin Zaefferer, Daniel Horn
A First Analysis of Kernels for Kriging-based Optimization in Hierarchical Search Spaces. CoRR (2018)
Martin Zaefferer, Daniel Horn
A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces. PPSN (2) (2018)
Daniel Horn, Melanie Dagge, Xudong Sun, Bernd Bischl
First Investigations on Noisy Model-Based Multi-objective Optimization. EMO (2017)
Daniel Horn, Bernd Bischl
Multi-objective parameter configuration of machine learning algorithms using model-based optimization. SSCI (2016)
Daniel Horn, Karin Schork, Tobias Wagner
Multi-objective Selection of Algorithm Portfolios: Experimental Validation. PPSN (2016)
Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs
Fast model selection by limiting SVM training times. CoRR (2016)
Daniel Horn, Tobias Wagner, Dirk Biermann, Claus Weihs, Bernd Bischl
Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark. EMO (1) (2015)
Claus Weihs, Daniel Horn, Bernd Bischl
Big Data Classification : Aspects on Many Features and Many Observations. ECDA (2014)