Heike Trautmann

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 90

Top Venues

Publications

Moritz Vinzent Seiler, Pascal Kerschke, Heike Trautmann
Deep-ELA: Deep Exploratory Landscape Analysis with Self-Supervised Pretrained Transformers for Single- and Multi-Objective Continuous Optimization Problems. CoRR (2024)
Raphael Patrick Prager, Heike Trautmann
Exploratory Landscape Analysis for Mixed-Variable Problems. CoRR (2024)
Oliver Ludger Preuß, Jeroen Rook, Heike Trautmann
On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. EvoApplications@EvoStar (2024)
Jeroen Rook, Holger H. Hoos, Heike Trautmann
Multi-objective Ranking using Bootstrap Resampling. GECCO Companion (2024)
Konstantin Dietrich, Raphael Patrick Prager, Carola Doerr, Heike Trautmann
Hybridizing Target- and SHAP-encoded Features for Algorithm Selection in Mixed-variable Black-box Optimization. CoRR (2024)
Pelin Aspar, Vera Steinhoff, Lennart Schäpermeier, Pascal Kerschke, Heike Trautmann, Christian Grimme
The objective that freed me: a multi-objective local search approach for continuous single-objective optimization. Nat. Comput. 22 (2) (2023)
Raphael Patrick Prager, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, Olaf Mersmann
Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. FOGA (2023)
Raphael Patrick Prager, Heike Trautmann
Investigating the Viability of Existing Exploratory Landscape Analysis Features for Mixed-Integer Problems. GECCO Companion (2023)
Lennart Schäpermeier, Pascal Kerschke, Christian Grimme, Heike Trautmann
Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. EMO (2023)
Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. SSCI (2023)
Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke
A study on the effects of normalized TSP features for automated algorithm selection. Theor. Comput. Sci. 940 (Part) (2023)
Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
Automated Algorithm Selection in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis Methods. PPSN (1) (2022)
Janina Susanne Pohl, Dennis Assenmacher, Moritz Vinzent Seiler, Heike Trautmann, Christian Grimme
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches. ICWSM Workshops (2022)
Jonathan Heins, Jeroen Rook, Lennart Schäpermeier, Pascal Kerschke, Jakob Bossek, Heike Trautmann
BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems. PPSN (1) (2022)
Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo
Correction to: Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. 37 (1) (2022)
Agatha S. Rodrigues, Pascal Kerschke, Carlos Alberto De Bragança Pereira, Heike Trautmann, Carolin Wagner, Bernd Hellingrath, Adriano Polpo
Estimation of component reliability from superposed renewal processes by means of latent variables. Comput. Stat. 37 (1) (2022)
Jeroen Rook, Heike Trautmann, Jakob Bossek, Christian Grimme
On the potential of automated algorithm configuration on multi-modal multi-objective optimization problems. GECCO Companion (2022)
Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
A collection of deep learning-based feature-free approaches for characterizing single-objective continuous fitness landscapes. GECCO (2022)
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
HPO ˟ ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. PPSN (1) (2022)
Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke, Heike Trautmann
A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes. CoRR (2022)
Dennis Assenmacher, Heike Trautmann
Textual One-Pass Stream Clustering with Automated Distance Threshold Adaption. ACIIDS (1) (2022)
Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. CoRR (2022)
Jonathan Heins, Jakob Bossek, Janina Pohl, Moritz Seiler, Heike Trautmann, Pascal Kerschke
On the potential of normalized TSP features for automated algorithm selection. FOGA (2021)
Crispin R. Coombs, Patrick Stacey, Peter Kawalek, Boyka Simeonova, Jörg Becker, Katrin Bergener, João Alvaro Carvalho, Marcelo Fantinato, Niels F. Garmann-Johnsen, Christian Grimme, Armin Stein, Heike Trautmann
What is it about humanity that we can't give away to intelligent machines? A European perspective. Int. J. Inf. Manag. 58 (2021)
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
Introduction to the special issue of the ECML PKDD 2021 journal track. Mach. Learn. 110 (10) (2021)
Pelin Aspar, Pascal Kerschke, Vera Steinhoff, Heike Trautmann, Christian Grimme
: Optimizing Multimodal Single-Objective Continuous Problems in the Multi-objective Space by Means of Multiobjectivization. EMO (2021)
Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. 136 (2021)
Dennis Assenmacher, Marco Niemann, Kilian Müller, Moritz Seiler, Dennis M. Riehle, Heike Trautmann
RP-Mod&RP-Crowd: Moderator- and Crowd-Annotated German News Comment Datasets. NeurIPS Datasets and Benchmarks (2021)
Annalisa Appice, Sergio Escalera, José A. Gámez, Heike Trautmann
Introduction to the special issue of the ECML PKDD 2021 journal track. Data Min. Knowl. Discov. 35 (6) (2021)
Raphael Patrick Prager, Moritz Vinzent Seiler, Heike Trautmann, Pascal Kerschke
Towards Feature-Free Automated Algorithm Selection for Single-Objective Continuous Black-Box Optimization. SSCI (2021)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms. LION (2020)
Jakob Bossek, Pascal Kerschke, Heike Trautmann
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CoRR (2020)
Dennis Assenmacher, Lena Adam, Heike Trautmann, Christian Grimme
Towards Real-Time and Unsupervised Campaign Detection in Social Media. FLAIRS Conference (2020)
Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CoRR (2020)
Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. CoRR (2020)
Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. SSCI (2020)
Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI (2020)
Moritz Seiler, Heike Trautmann, Pascal Kerschke
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries. CoRR (2020)
Jakob Bossek, Christian Grimme, Heike Trautmann
Dynamic bi-objective routing of multiple vehicles. GECCO (2020)
Jakob Bossek, Christian Grimme, Günter Rudolph, Heike Trautmann
Towards Decision Support in Dynamic Bi-Objective Vehicle Routing. CEC (2020)
Jakob Bossek, Pascal Kerschke, Heike Trautmann
A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. Appl. Soft Comput. 88 (2020)
Vera Steinhoff, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Christian Grimme
Multiobjectivization of Local Search: Single-Objective Optimization Benefits From Multi-Objective Gradient Descent. CoRR (2020)
Dennis Assenmacher, Lena Clever, Janina Susanne Pohl, Heike Trautmann, Christian Grimme
A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media. HCI (14) (2020)
Jakob Bossek, Christian Grimme, Heike Trautmann
Dynamic Bi-Objective Routing of Multiple Vehicles. CoRR (2020)
Moritz Seiler, Heike Trautmann, Pascal Kerschke
Enhancing Resilience of Deep Learning Networks By Means of Transferable Adversaries. IJCNN (2020)
Jakob Bossek, Pascal Kerschke, Heike Trautmann
Anytime Behavior of Inexact TSP Solvers and Perspectives for Automated Algorithm Selection. CEC (2020)
Moritz Seiler, Janina Pohl, Jakob Bossek, Pascal Kerschke, Heike Trautmann
Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. PPSN (1) (2020)
Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker
Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. HCI (15) (2020)
Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann
Evolving diverse TSP instances by means of novel and creative mutation operators. FOGA (2019)
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. 27 (4) (2019)
Matthias Carnein, Heike Trautmann
Customer Segmentation Based on Transactional Data Using Stream Clustering. PAKDD (1) (2019)
Pascal Kerschke, Heike Trautmann
Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning. Evol. Comput. 27 (1) (2019)
Lena Clever, Lena Frischlich, Heike Trautmann, Christian Grimme
Automated Detection of Nostalgic Text in the Context of Societal Pessimism. MISDOOM (2019)
Christian Grimme, Pascal Kerschke, Heike Trautmann
Multimodality in Multi-objective Optimization - More Boon than Bane? EMO (2019)
Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme
Openbots. CoRR (2019)
Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
Automated Algorithm Selection: Survey and Perspectives. Evol. Comput. 27 (1) (2019)
Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann
Bi-objective Orienteering: Towards a Dynamic Multi-objective Evolutionary Algorithm. EMO (2019)
Matthias Carnein, Heike Trautmann
Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms. Bus. Inf. Syst. Eng. 61 (3) (2019)
Matthias Carnein, Heike Trautmann, Albert Bifet, Bernhard Pfahringer
Towards Automated Configuration of Stream Clustering Algorithms. PKDD/ECML Workshops (1) (2019)
Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen
A Recommender System Based on Omni-Channel Customer Data. CBI (1) (2019)
Holger H. Hoos, Frank Neumann, Heike Trautmann
Foreword. Evol. Comput. 27 (1) (2019)
Dennis Assenmacher, Lena Adam, Lena Frischlich, Heike Trautmann, Christian Grimme
Inside the Tool Set of Automation: Free Social Bot Code Revisited. MISDOOM (2019)
Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann
Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. 26 (4) (2018)
Jesper E. van Engelen, J. J. van Lier, Frank W. Takes, Heike Trautmann
Accurate WiFi-Based Indoor Positioning with Continuous Location Sampling. ECML/PKDD (3) (2018)
Pascal Kerschke, Jakob Bossek, Heike Trautmann
Parameterization of state-of-the-art performance indicators: a robustness study based on inexact TSP solvers. GECCO (Companion) (2018)
Matthias Carnein, Heike Trautmann
evoStream - Evolutionary Stream Clustering Utilizing Idle Times. Big Data Res. 14 (2018)
Jakob Bossek, Christian Grimme, Stephan Meisel, Günter Rudolph, Heike Trautmann
Local search effects in bi-objective orienteering. GECCO (2018)
Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann
Automated Algorithm Selection: Survey and Perspectives. CoRR (2018)
Jakob Bossek, Heike Trautmann
Multi-objective Performance Measurement: Alternatives to PAR10 and Expected Running Time. LION (2018)
Longmei Li, Yali Wang, Heike Trautmann, Ning Jing, Michael Emmerich
Multiobjective evolutionary algorithms based on target region preferences. Swarm Evol. Comput. 40 (2018)
Matthias Carnein, Leschek Homann, Heike Trautmann, Gottfried Vossen, Karsten Kraume
Customer Service in Social Media: An Empirical Study of the Airline Industry. BTW (Workshops) (2017)
Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
Social Bots: Human-Like by Means of Human Control? Big Data 5 (4) (2017)
Matthias Carnein, Dennis Assenmacher, Heike Trautmann
Stream Clustering of Chat Messages with Applications to Twitch Streams. ER Workshops (2017)
Longmei Li, Iryna Yevseyeva, Vítor Basto Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich
Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. EMO (2017)
Matthias Carnein, Markus Heuchert, Leschek Homann, Heike Trautmann, Gottfried Vossen, Jörg Becker, Karsten Kraume
Towards Efficient and Informative Omni-Channel Customer Relationship Management. ER Workshops (2017)
Christian Grimme, Mike Preuss, Lena Adam, Heike Trautmann
Social Bots: Human-Like by Means of Human Control? CoRR (2017)
Pascal Kerschke, Heike Trautmann
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning. CoRR (2017)
Kevin Tierney, Joshua Handali, Christian Grimme, Heike Trautmann
Multi-objective Optimization for Liner Shipping Fleet Repositioning. EMO (2017)
Matthias Carnein, Dennis Assenmacher, Heike Trautmann
An Empirical Comparison of Stream Clustering Algorithms. Conf. Computing Frontiers (2017)
Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models. GECCO (2016)
Günter Rudolph, Oliver Schütze, Christian Grimme, Christian Domínguez-Medina, Heike Trautmann
Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results. Comput. Optim. Appl. 64 (2) (2016)
Oliver Schütze, Víctor Adrián Sosa-Hernández, Heike Trautmann, Günter Rudolph
The hypervolume based directed search method for multi-objective optimization problems. J. Heuristics 22 (3) (2016)
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN (2016)
Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION (2016)
Longmei Li, Iryna Yevseyeva, Vítor Basto Fernandes, Heike Trautmann, Ning Jing, Michael T. M. Emmerich
An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. CoRR (2016)
Pascal Kerschke, Heike Trautmann
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems. CEC (2016)
Jakob Bossek, Heike Trautmann
Understanding Characteristics of Evolved Instances for State-of-the-Art Inexact TSP Solvers with Maximum Performance Difference. AI*IA (2016)
Jakob Bossek, Heike Trautmann
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. LION (2016)
Holger H. Hoos, Frank Neumann, Heike Trautmann
Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412). Dagstuhl Reports 6 (10) (2016)
Günter Rudolph, Oliver Schütze, Heike Trautmann
On the Closest Averaged Hausdorff Archive for a Circularly Convex Pareto Front. EvoApplications (2) (2016)
Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. CoRR (2015)
Lars Kotthoff, Pascal Kerschke, Holger H. Hoos, Heike Trautmann
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION (2015)
Olaf Mersmann, Mike Preuss, Heike Trautmann, Bernd Bischl, Claus Weihs
Analyzing the BBOB Results by Means of Benchmarking Concepts. Evol. Comput. 23 (1) (2015)
Stephan Meisel, Christian Grimme, Jakob Bossek, Martin Wölck, Günter Rudolph, Heike Trautmann
Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle. GECCO (2015)
Víctor Adrián Sosa-Hernández, Adriana Lara, Heike Trautmann, Günter Rudolph, Oliver Schütze
The Directed Search Method for Unconstrained Parameter Dependent Multi-objective Optimization Problems. NEO (2015)
Dimo Brockhoff, Tobias Wagner, Heike Trautmann
2 Indicator-Based Multiobjective Search. Evol. Comput. 23 (3) (2015)
Víctor Adrián Sosa-Hernández, Oliver Schütze, Heike Trautmann, Günter Rudolph
On the Behavior of Stochastic Local Search Within Parameter Dependent MOPs. EMO (2) (2015)
Luis Martí, Christian Grimme, Pascal Kerschke, Heike Trautmann, Günter Rudolph
Averaged Hausdorff Approximations of Pareto Fronts based on Multiobjective Estimation of Distribution Algorithms. GECCO (Companion) (2015)
Christian Grimme, Stephan Meisel, Heike Trautmann, Günter Rudolph, Martin Wölck
Multi-objective Analysis of Approaches to Dynamic Routing of a Vehicle. ECIS (2015)
Pascal Kerschke, Mike Preuss, Simon Wessing, Heike Trautmann
Detecting Funnel Structures by Means of Exploratory Landscape Analysis. GECCO (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Heike Trautmann