Oliver Kramer

Oliver Kramer, Fabian Gieseke, Kai Lars Polsterer: Learning morphological maps of galaxies with unsupervised regression. Expert Syst. Appl. 40(8): 2841-2844 (2013)

Oliver Kramer, Fabian Gieseke, Benjamin Satzger: Wind energy prediction and monitoring with neural computation. Neurocomputing 109: 84-93 (2013)

Benjamin Satzger, Oliver Kramer: Goal distance estimation for automated planning using neural networks and support vector machines. Natural Computing 12(1): 87-100 (2013)

Fabian Gieseke, Oliver Kramer: Towards Non-linear Constraint Estimation for Expensive Optimization. EvoApplications 2013: 459-468

Oliver Kramer, Fabian Gieseke: Evolutionary kernel density regression. Expert Syst. Appl. 39(10): 9246-9254 (2012)

Oliver Kramer, Christian Igel, Günter Rudolph: Evolutionary kernel machines. Evolutionary Intelligence 5(3): 151-152 (2012)

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala: Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. Evolutionary Intelligence 5(3): 189-205 (2012)

Oliver Kramer: A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality Reduction. ANTS 2012: 1-12

Oliver Kramer: On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression. EvoApplications 2012: 346-355

Oliver Kramer, Olaf Wilken, Petra Beenken, Andreas Hein, Andreas Hüwel, Thole Klingenberg, C. Meinecke, T. Raabe, Michael Sonnenschein: On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring. HAIS (1) 2012: 322-331

Oliver Kramer: On Unsupervised Nearest-neighbor Regression and Robust Loss Functions. ICAART (1) 2012: 164-170

Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer: Unsupervised Multi-class Regularized Least-Squares Classification. ICDM 2012: 585-594

Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer: Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) 2012: 45-54

Oliver Kramer: Unsupervised Nearest Neighbors with Kernels. KI 2012: 97-106

Oliver Kramer, Holger Danielsiek: A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets. International Journal of Computational Intelligence and Applications 10(3): 295-311 (2011)

Oliver Kramer: On Machine Symbol Grounding and Optimization. IJCINI 5(3): 73-85 (2011)

Oliver Kramer: Machine Symbol Grounding and Optimization. ICAART (1) 2011: 464-469

Oliver Kramer: Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. ICMLA (1) 2011: 275-278

Oliver Kramer, Fabian Gieseke: Analysis of wind energy time series with kernel methods and neural networks. ICNC 2011: 2381-2385

Jörg Lässig, Benjamin Satzger, Oliver Kramer: Self-Stabilization in Hierarchically Structured Energy Markets. ITNG 2011: 803-809

Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala: Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI 2011: 87-98

Oliver Kramer, Fabian Gieseke: Variance Scaling for EDAs Revisited. KI 2011: 169-178

Jörg Lässig, Benjamin Satzger, Oliver Kramer: Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach. KI 2011: 179-190

Oliver Kramer, Fabian Gieseke: Short-Term Wind Energy Forecasting Using Support Vector Regression. SOCO 2011: 271-280

Oliver Kramer, David Echeverría Ciaurri, Slawomir Koziel: Derivative-Free Optimization. Computational Optimization, Methods and Algorithms 2011: 61-83

Oliver Kramer: Unsupervised K-Nearest Neighbor Regression. CoRR abs/1107.3600 (2011)

Tzung-Pei Hong, Chuan-Kang Ting, Oliver Kramer: Theory and Applications of Evolutionary Computation. Applied Comp. Int. Soft Computing 2010 (2010)

Oliver Kramer: A Review of Constraint-Handling Techniques for Evolution Strategies. Applied Comp. Int. Soft Computing 2010 (2010)

Oliver Kramer: Evolutionary self-adaptation: a survey of operators and strategy parameters. Evolutionary Intelligence 3(2): 51-65 (2010)

Oliver Kramer: Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines. Fundam. Inform. 98(1): 87-106 (2010)

Oliver Kramer: Iterated local search with Powell's method: a memetic algorithm for continuous global optimization. Memetic Computing 2(1): 69-83 (2010)

Jan Quadflieg, Mike Preuss, Oliver Kramer, Günter Rudolph: Learning the track and planning ahead in a car racing controller. CIG 2010: 395-402

Oliver Kramer, Holger Danielsiek: DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. GECCO 2010: 503-510

Oliver Kramer, Benjamin Satzger, Jörg Lässig: Managing Energy in a Virtual Power Plant Using Learning Classifier Systems. GEM 2010: 111-117

Marcel Martin, Jonathan Maycock, Florian Paul Schmidt, Oliver Kramer: Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping. HAIS (1) 2010: 221-228

Oliver Kramer, Benjamin Satzger, Jörg Lässig: Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. HAIS (1) 2010: 262-269

Benjamin Satzger, Oliver Kramer, Jörg Lässig: Adaptive Heuristic Estimates for Automated Planning Using Regression. IC-AI 2010: 576-581

Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold: Detecting Quasars in Large-Scale Astronomical Surveys. ICMLA 2010: 352-357

Tobias Hein, Oliver Kramer: Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps. KI 2010: 160-167

Andreas Thom, Oliver Kramer: Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations. KI 2010: 195-202

Sven Rahmann, Tobias Marschall, Frank Behler, Oliver Kramer: Modeling evolutionary fitness for DNA motif discovery. GECCO 2009: 225-232

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

Oliver Kramer: Fast Blackbox Optimization: Iterated Local Search and the Strategy of Powell. GEM 2009: 159-163

Fabian Gieseke, Tapio Pahikkala, Oliver Kramer: Fast evolutionary maximum margin clustering. ICML 2009: 46

Oliver Kramer, André Barthelmes, Günter Rudolph: Surrogate Constraint Functions for CMA Evolution Strategies. KI 2009: 169-176

Oliver Kramer, Patrick Koch: Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm. KI 2009: 177-184

Oliver Kramer, Tobias Hein: Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition. KI 2009: 727-734

Oliver Kramer: Self-adaptive heuristics for evolutionary computation. University of Paderborn 2008, isbn 978-3-540-69281-2, pp. 1-181

Oliver Kramer: Self-Adaptive Heuristics for Evolutionary Computation. Studies in Computational Intelligence 147, Springer 2008, isbn 978-3-540-69280-5, pp. 1-161

Oliver Kramer: Self-Adaptive Inversion Mutation for Combinatorial Representations. GEM 2008: 3-9

Oliver Kramer: Premature Convergence in Constrained Continuous Search Spaces. PPSN 2008: 62-71

Oliver Kramer, Stephan Brügger, Dejan Lazovic: Sex and death: towards biologically inspired heuristics for constraint handling. GECCO 2007: 666-673

Oliver Kramer, Bartek Gloger, Andreas Goebels: An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. GECCO 2007: 674-681

Oliver Kramer, Patrick Koch: Self-adaptive partially mapped crossover. GECCO 2007: 1523

Oliver Kramer, Hans-Paul Schwefel: On three new approaches to handle constraints within evolution strategies. Natural Computing 5(4): 363-385 (2006)

Oliver Kramer, Benno Stein, Jürgen Wall: AI and Music: Toward a Taxonomy of Problem Classes. ECAI 2006: 695-696

Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning: A new mutation operator for evolution strategies for constrained problems. Congress on Evolutionary Computation 2005: 2600-2606

Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning: A mutation operator for evolution strategies to handle constrained problems. GECCO 2005: 917-918

Steffen Priesterjahn, Oliver Kramer, Alexander Weimer, Andreas Goebels: Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation. ICNC (2) 2005: 744-755