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2020 – today
- 2022
[c23]Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang:
The Sixth International Workshop on Automation in Machine Learning. KDD 2022: 4880-4881- 2021
- [c22]Stefano Gasperini
, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari:
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes. 3DV 2021: 751-760 - [c21]Xuejun Liao, Patrick Koch, Shunping Huang, Yan Xu:
Efficient Collaborative Filtering via Data Augmentation and Step-size Optimization. KDD 2021: 1006-1016 - [c20]Tao Wang, Patrick Koch, Brett Wujek, Jun Liu, Hai Li:
The Fifth International Workshop on Automation in Machine Learning. KDD 2021: 4163-4164 - [i4]Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari:
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes. CoRR abs/2108.04814 (2021)
2010 – 2019
- 2019
- [c19]Benedikt Feldotto, Blasius Walch, Patrick Koch, Sebastian Dendorfer, Alois C. Knoll:
Co-Development of an Infant Prototype in Hardware and Simulation based on CT Imaging Data. CBS 2019: 241-246 - [c18]Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu:
Constrained Multi-Objective Optimization for Automated Machine Learning. DSAA 2019: 364-373 - [i3]Steven Gardner, Oleg Golovidov, Joshua Griffin, Patrick Koch, Wayne Thompson, Brett Wujek, Yan Xu:
Constrained Multi-Objective Optimization for Automated Machine Learning. CoRR abs/1908.04909 (2019) - 2018
- [c17]Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu:
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning. KDD 2018: 443-452 - [i2]Patrick Koch, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, Yan Xu:
Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning. CoRR abs/1804.07824 (2018) - [i1]Patrick Koch:
Now You're Thinking With Structures: A Concept for Structure-based Interactions with Spreadsheets. CoRR abs/1809.03435 (2018) - 2016
- [j5]Samineh Bagheri, Markus Thill, Patrick Koch, Wolfgang Konen:
Online Adaptable Learning Rates for the Game Connect-4. IEEE Trans. Comput. Intell. AI Games 8(1): 33-42 (2016) - 2015
- [j4]Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen:
Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. 29: 357-370 (2015) - [j3]David Guy Brizan, Adam Goodkind, Patrick Koch, Kiran S. Balagani, Vir V. Phoha, Andrew Rosenberg:
Utilizing linguistically enhanced keystroke dynamics to predict typist cognition and demographics. Int. J. Hum. Comput. Stud. 82: 57-68 (2015) - [c16]Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck:
A New Repair Method For Constrained Optimization. GECCO 2015: 273-280 - 2014
- [c15]Markus Thill, Samineh Bagheri, Patrick Koch, Wolfgang Konen:
Temporal difference learning with eligibility traces for the game connect four. CIG 2014: 1-8 - [c14]Wolfgang Konen, Patrick Koch:
Adaptation in Nonlinear Learning Models for Nonstationary Tasks. PPSN 2014: 292-301 - 2013
- [j2]Abdul Serwadda, Zibo Wang, Patrick Koch, Sathya Govindarajan, Raviteja Pokala, Adam Goodkind, David Guy Brizan, Andrew Rosenberg, Vir V. Phoha, Kiran S. Balagani:
Scan-Based Evaluation of Continuous Keystroke Authentication Systems. IT Prof. 15(4): 20-23 (2013) - [c13]Jörg Stork, Ricardo Ramos, Patrick Koch, Wolfgang Konen:
SVM Ensembles Are Better When Different Kernel Types Are Combined. ECDA 2013: 191-201 - [c12]Isidore Willy Kohoun Tsafack, Stefan Naumann, Klaus-Uwe Gollmer, Iris Ebner, Andrea Christian, Monika Eigenstetter, Verena Jähn, Sebastian Arns, Bodo Groß, Patrick Koch, Achim Guldner:
Resource efficiency in Buildings through automation and user integration. EnviroInfo 2013: 484-491 - 2012
- [j1]Patrick Koch, Bernd Bischl, Oliver Flasch, Thomas Bartz-Beielstein, Claus Weihs, Wolfgang Konen:
Tuning and evolution of support vector kernels. Evol. Intell. 5(3): 153-170 (2012) - [c11]Markus Thill, Patrick Koch, Wolfgang Konen:
Reinforcement Learning with N-tuples on the Game Connect-4. PPSN (1) 2012: 184-194 - [c10]Patrick Koch, Wolfgang Konen:
Efficient Sampling and Handling of Variance in Tuning Data Mining Models. PPSN (1) 2012: 195-205 - 2011
- [c9]Thomas Bartz-Beielstein, Martina Friese, Martin Zaefferer, Boris Naujoks, Oliver Flasch, Wolfgang Konen, Patrick Koch:
Noisy optimization with sequential parameter optimization and optimal computational budget allocation. GECCO (Companion) 2011: 119-120 - [c8]Wolfgang Konen, Patrick Koch, Oliver Flasch, Thomas Bartz-Beielstein, Martina Friese, Boris Naujoks:
Tuned data mining: a benchmark study on different tuners. GECCO 2011: 1995-2002 - 2010
- [c7]Oliver Flasch, Thomas Bartz-Beielstein, Artur Davtyan, Patrick Koch, Wolfgang Konen, Tosin Daniel Oyetoyan, Michael Tamutan:
Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c6]Patrick Koch, Wolfgang Konen, Kristine Hein:
Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [c5]Santosh Tiwari, Georges M. Fadel, Patrick Koch, Kalyanmoy Deb:
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. IEEE Congress on Evolutionary Computation 2009: 1935-1942 - [c4]Patrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume:
On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. GECCO 2009: 603-610 - [c3]Oliver Kramer, Patrick Koch:
Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm. KI 2009: 177-184 - 2008
- [c2]Santosh Tiwari, Patrick Koch, Georges M. Fadel, Kalyanmoy Deb:
AMGA: an archive-based micro genetic algorithm for multi-objective optimization. GECCO 2008: 729-736 - 2007
- [c1]Oliver Kramer, Patrick Koch:
Self-adaptive partially mapped crossover. GECCO 2007: 1523
Coauthor Index
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