Automatic Feature Extraction from Large Time Series. - Ingo Mierswa (GfKl, 2004)

Efficient Case Based Feature Construction. - Ingo Mierswa; Michael Wurst (ECML, 2005)

Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. - Ingo Mierswa (GECCO, 2005)

Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. - Ingo Mierswa; Katharina Morik (GECCO Workshops, 2005)

A Benchmark Dataset for Audio Classification and Clustering. - Helge Homburg; Ingo Mierswa; Bülent Möller; Katharina Morik; Michael Wurst (ISMIR, 2005)

Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. - Ingo Mierswa; Katharina Morik (Inform. Spektrum, 2005)

Automatic Feature Extraction for Classifying Audio Data. - Ingo Mierswa; Katharina Morik (Mach. Learn., 2005)

Localized Alternative Cluster Ensembles for Collaborative Structuring. - Michael Wurst; Katharina Morik; Ingo Mierswa (ECML, 2006)

Evolutionary learning with kernels: a generic solution for large margin problems. - Ingo Mierswa (GECCO, 2006)

Information preserving multi-objective feature selection for unsupervised learning. - Ingo Mierswa; Michael Wurst (GECCO, 2006)

YALE: rapid prototyping for complex data mining tasks. - Ingo Mierswa; Michael Wurst; Ralf Klinkenberg; Martin Scholz; Timm Euler (KDD, 2006)

Understandable models Of music collections based on exhaustive feature generation with temporal statistics. - Fabian Mörchen; Ingo Mierswa; Alfred Ultsch (KDD, 2006)

Sound Multi-objective Feature Space Transformation for Clustering. - Ingo Mierswa; Michael Wurst (LWA, 2006)

Controlling overfitting with multi-objective support vector machines. - Ingo Mierswa (GECCO, 2007)

Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. - Alexander Hinneburg; Ralf Klinkenberg; Ingo Mierswa; Stefan Posch; Steffen Neumann (LWA, 2007)

Regularization through Multi-Objective Optimization. - Ingo Mierswa (LWA, 2007)

On the Automated Creation of Understandable Positive Security Models for Web Applications. - Christian Bockermann; Ingo Mierswa; Katharina Morik (PerCom, 2008)

About the non-convex optimization problem induced by non-positive semidefinite kernel learning. - Ingo Mierswa; Katharina Morik (Adv. Data Anal. Classif., 2008)

Non-Convex and Multi-Objective Optimization in Data Mining - Non-Convex and Multi-Objective Optimization for Statistical Learning and Numerical Feature Engineering. - Ingo Mierswa (2009)

Nichtkonvexe und Multikriterielle Optimierung für Data Mining. - Ingo Mierswa (Ausgezeichnete Informatikdissertationen, 2009)

Rapid Miner. - Ingo Mierswa (Künstliche Intell., 2009)

The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science Workflows. - Ingo Mierswa (KDD, 2016)