Ingo Mierswa - RankMe

24 papers A* 4A 4Journal 4Unranked 10

Year	Rank	Type	Title / Venue / Authors
2016	A*	`conf`	The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning Derived from Millions of Data Science Workflows. KDD Ingo Mierswa
2009	—	`ch.`	Nichtkonvexe und Multikriterielle Optimierung für Data Mining. Ausgezeichnete Informatikdissertationen Ingo Mierswa
2009	—	`—`	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	J	`jnl`	Rapid Miner. Künstliche Intell. Ingo Mierswa
2008	J	`jnl`	About the non-convex optimization problem induced by non-positive semidefinite kernel learning. Adv. Data Anal. Classif. Ingo Mierswa, Katharina Morik
2008	—	`conf`	On the Automated Creation of Understandable Positive Security Models for Web Applications. LWA Christian Bockermann, Ingo Mierswa, Katharina Morik
2008	A*	`conf`	On the Automated Creation of Understandable Positive Security Models for Web Applications. PerCom Christian Bockermann, Ingo Mierswa, Katharina Morik
2007	A	`conf`	Controlling overfitting with multi-objective support vector machines. GECCO Ingo Mierswa
2007	—	`conf`	Regularization through Multi-Objective Optimization. LWA Ingo Mierswa
2007	—	`conf`	Workshop on Knowledge Discovery, Data Mining, and Machine Learning and Workshop on Bioinformatics. LWA Alexander Hinneburg, Ralf Klinkenberg, Ingo Mierswa, Stefan Posch, Steffen Neumann
2006	A	`conf`	Evolutionary learning with kernels: a generic solution for large margin problems. GECCO Ingo Mierswa
2006	A	`conf`	Information preserving multi-objective feature selection for unsupervised learning. GECCO Ingo Mierswa, Michael Wurst
2006	—	`conf`	Localized Alternative Cluster Ensembles for Collaborative Structuring. ECML Michael Wurst, Katharina Morik, Ingo Mierswa
2006	—	`conf`	Sound Multi-objective Feature Space Transformation for Clustering. LWA Ingo Mierswa, Michael Wurst
2006	A*	`conf`	Understandable models Of music collections based on exhaustive feature generation with temporal statistics. KDD Fabian Mörchen, Ingo Mierswa, Alfred Ultsch
2006	A*	`conf`	YALE: rapid prototyping for complex data mining tasks. KDD Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler
2005	—	`conf`	A Benchmark Dataset for Audio Classification and Clustering. ISMIR Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst
2005	J	`jnl`	Automatic Feature Extraction for Classifying Audio Data. Mach. Learn. Ingo Mierswa, Katharina Morik
2005	—	`conf`	Efficient Case Based Feature Construction. ECML Ingo Mierswa, Michael Wurst
2005	A	`conf`	Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. GECCO Ingo Mierswa
2005	J	`jnl`	Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. Inform. Spektrum Ingo Mierswa, Katharina Morik
2005	—	`conf`	Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. GECCO Workshops Ingo Mierswa, Katharina Morik
2004	—	`conf`	Automatic Feature Extraction from Large Time Series. GfKl Ingo Mierswa
2004	—	`conf`	Automatic Feature Extraction from Large Time Series. LWA Ingo Mierswa