Daniel Horn

According to our database, Daniel Horn authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Benchmark for Rule Induction in Automated Business Decisions.

Hagen Völzer, Daniel Horn, Yusik Kim, Greger Ottosson

Proceedings of the Rules and Reasoning, 2024

2023

Contextual Shift Method (CSM).

Gernot Schmitz, Daniel Wilmes, Alexander Gerharz, Daniel Horn, Emmanuel Müller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

RODD: Robust Outlier Detection in Data Cubes.

Lara Kuhlmann, Daniel Wilmes, Emmanuel Müller, Markus Pauly, Daniel Horn

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

2022

Relationship Between Electronic Health Record Time and Ambulatory Quality of Care Metrics Among Primary Care Physicians.

Lisa S. Rotenstein, Richard Gitomer, Michael J. Healey, Daniel Horn, David Yut-Chee Ting, Stuart R. Lipsitz, Hojjat Salmasian, David W. Bates

Proceedings of the AMIA 2022, 2022

2021

Using Sequential Statistical Tests to Improve the Performance of Random Search in hyperparameter Tuning.

Philip Buczak, Daniel Horn

CoRR, 2021

2020

Random boosting and random^2 forests - A random tree depth injection approach.

Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch

CoRR, 2020

2019

Multi-objective analysis of machine learning algorithms using model-based optimization techniques

Daniel Horn

PhD thesis, 2019

Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis.

Daniel Horn, Jörg Stork, Nils-Jannik Schüßler, Martin Zaefferer

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

A comparative study on large scale kernelized support vector machines.

Daniel Horn, Aydin Demircioglu, Bernd Bischl, Tobias Glasmachers, Claus Weihs

Adv. Data Anal. Classif., 2018

A First Analysis of Kernels for Kriging-Based Optimization in Hierarchical Search Spaces.

Martin Zaefferer, Daniel Horn

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2017

First Investigations on Noisy Model-Based Multi-objective Optimization.

Daniel Horn, Melanie Dagge, Xudong Sun, Bernd Bischl

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016

Fast model selection by limiting SVM training times.

Aydin Demircioglu, Daniel Horn, Tobias Glasmachers, Bernd Bischl, Claus Weihs

CoRR, 2016

Multi-objective parameter configuration of machine learning algorithms using model-based optimization.

Daniel Horn, Bernd Bischl

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Multi-objective Selection of Algorithm Portfolios: Experimental Validation.

Daniel Horn, Karin Schork, Tobias Wagner

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

2015

Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark.

Daniel Horn, Tobias Wagner, Dirk Biermann, Claus Weihs, Bernd Bischl

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2014

Big Data Classification : Aspects on Many Features and Many Observations.

Claus Weihs, Daniel Horn, Bernd Bischl

Proceedings of the Analysis of Large and Complex Data, 2014