Oliver Kramer - RankMe

189 papers A* 2A 12B 39C 5Misc 25Journal 42Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An LLM-Based Multi-Agent Framework for Evolutionary Blackbox Optimization. GECCO Companion Jill Baumann, Oliver Kramer
2025	J	`jnl`	Cognitive BASIC: An In-Model Interpreted Reasoning Language for LLMs. CoRR Oliver Kramer
2025	J	`jnl`	Cognitive Prompts Using Guilford's Structure of Intellect Model. CoRR Oliver Kramer
2025	J	`jnl`	Conceptual Metaphor Theory as a Prompting Paradigm for Large Language Models. CoRR Oliver Kramer
2025	—	`conf`	Enhancing Evolutionary Algorithms Through Meta-Evolution Strategies. CAI Oliver Kramer
2025	—	`conf`	Evolutionary Cognitive Prompting for Enhancing the Capabilities of Language Models. CAI Oliver Kramer
2025	—	`conf`	Sequence-Based Protein Pocket Prediction via Prott5 Embeddings and Spatial Sampling. CAI Rocio Rebollido-Rios, Oliver Kramer
2024	J	`jnl`	Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments. CoRR Jill Baumann, Oliver Kramer
2024	—	`conf`	Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments. EvoApplications@EvoStar Jill Baumann, Oliver Kramer
2024	B	`conf`	LLaMA Tunes CMA-ES. ESANN Oliver Kramer
2024	J	`jnl`	Large Language Models for Tuning Evolution Strategies. CoRR Oliver Kramer
2024	B	`conf`	Towards Explainable Evolution Strategies with Large Language Models. ESANN Jill Baumann, Oliver Kramer
2024	J	`jnl`	Towards Explainable Evolution Strategies with Large Language Models. CoRR Jill Baumann, Oliver Kramer
2024	J	`jnl`	Unlocking Structured Thinking in Language Models with Cognitive Prompting. CoRR Oliver Kramer, Jill Baumann
2023	B	`conf`	Enhancing Evolution Strategies with Evolution Path Bias. ESANN Oliver Kramer
2023	B	`conf`	Wind Power Prediction with ETSformer. ESANN Oliver Kramer, Jill Baumann
2022	B	`conf`	A Fast and Simple Evolution Strategy with Covariance Matrix Estimation. ESANN Oliver Kramer
2022	A	`conf`	An evolutionary fragment-based approach to molecular fingerprint reconstruction. GECCO Tim Cofala, Oliver Kramer
2021	B	`conf`	Evolutionary Deep Multi-Task Learning. ESANN Patrick Burke, Jonas Prellberg, Oliver Kramer
2021	B	`conf`	Spatial Generation of Molecules with Transformers. IJCNN Tim Cofala, Thomas Teusch, Oliver Kramer
2021	B	`conf`	Transformers for Molecular Graph Generation. ESANN Tim Cofala, Oliver Kramer
2020	B	`conf`	Adversarials-1 in Speech Recognition: Detection and Defence. ESANN Nils Worzyk, Stefan Niewerth, Oliver Kramer
2020	Misc	`conf`	Earnings Prediction with Deep Learning. KI Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, Oliver Kramer
2020	J	`jnl`	Earnings Prediction with Deep Learning. CoRR Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, Oliver Kramer
2020	J	`jnl`	Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates. CoRR Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer
2020	—	`conf`	Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates. PPSN (2) Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer
2020	B	`conf`	Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. IJCNN Jonas Prellberg, Oliver Kramer
2020	J	`jnl`	Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. CoRR Jonas Prellberg, Oliver Kramer
2020	B	`conf`	Learning Step Size Adaptation in Evolution Strategies. ESANN Oliver Kramer
2020	B	`conf`	Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. IJCNN Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer
2020	B	`conf`	Tournament Selection Improves Cartesian Genetic Programming for Atari Games. ESANN Tim Cofala, Lars Elend, Oliver Kramer
2019	J	`jnl`	Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks. CoRR Jonas Prellberg, Oliver Kramer
2019	B	`conf`	Evolution of Stacked Autoencoders. CEC Tim Silhan, Stefan Oehmcke, Oliver Kramer
2019	—	`conf`	Physical Adversarial Attacks by Projecting Perturbations. ICANN (3) Nils Worzyk, Hendrik Kahlen, Oliver Kramer
2019	—	`conf`	Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization. ICANN (2) Almuth Meier, Oliver Kramer
2019	—	`conf`	Self-Organizing Maps with Convolutional Layers. WSOM+ Lars Elend, Oliver Kramer
2018	B	`conf`	Adversarials IJCNN Nils Worzyk, Oliver Kramer
2018	C	`conf`	Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings. ICPRAM Oliver Kramer
2018	—	`conf`	Direct Training of Dynamic Observation Noise with UMarineNet. ICANN (1) Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2018	B	`conf`	Evolution of Convolutional Highway Networks. EvoApplications Oliver Kramer
2018	J	`jnl`	Input quality aware convolutional LSTM networks for virtual marine sensors. Neurocomputing Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2018	Misc	`conf`	Knowledge Sharing for Population Based Neural Network Training. KI Stefan Oehmcke, Oliver Kramer
2018	—	`conf`	Lamarckian Evolution of Convolutional Neural Networks. PPSN (2) Jonas Prellberg, Oliver Kramer
2018	J	`jnl`	Lamarckian Evolution of Convolutional Neural Networks. CoRR Jonas Prellberg, Oliver Kramer
2018	Misc	`conf`	Limited Evaluation Evolutionary Optimization of Large Neural Networks. KI Jonas Prellberg, Oliver Kramer
2018	J	`jnl`	Limited Evaluation Evolutionary Optimization of Large Neural Networks. CoRR Jonas Prellberg, Oliver Kramer
2018	B	`conf`	Multi-label Classification of Surgical Tools with Convolutional Neural Networks. IJCNN Jonas Prellberg, Oliver Kramer
2018	J	`jnl`	Multi-label Classification of Surgical Tools with Convolutional Neural Networks. CoRR Jonas Prellberg, Oliver Kramer
2018	—	`conf`	Predicting Read- and Write-Operation Availabilities of Quorum Protocols based on Graph Properties. ICAART (2) Robert Schadek, Oliver Kramer, Oliver E. Theel
2018	B	`conf`	Prediction with Recurrent Neural Networks in Evolutionary Dynamic Optimization. EvoApplications Almuth Meier, Oliver Kramer
2018	B	`conf`	Properties of adv-1 - Adversarials of Adversarials. ESANN Nils Worzyk, Oliver Kramer
2018	A	`conf`	Recurrent neural network-predictions for PSO in dynamic optimization. GECCO Almuth Meier, Oliver Kramer
2017	Misc	`conf`	An Experimental Study of Dimensionality Reduction Methods. KI Almuth Meier, Oliver Kramer
2017	—	`ed.`	Data Analytics for Renewable Energy Integration - 4th ECML PKDD Workshop, DARE 2016, Riva del Garda, Italy, September 23, 2016, Revised Selected Papers DARE@PKDD/ECML Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart E. Madnick
2017	—	`ed.`	Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy - 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers DARE@PKDD/ECML Wei Lee Woon, Zeyar Aung, Oliver Kramer, Stuart E. Madnick
2017	J	`jnl`	Evolution of Convolutional Highway Networks. CoRR Oliver Kramer
2017	Misc	`conf`	Evolving Kernel PCA Pipelines with Evolution Strategies. KI Oliver Kramer
2017	J	`jnl`	Finite life span for improving the selection scheme in evolution strategies. Soft Comput. Ali Ahrari, Oliver Kramer
2017	—	`book`	Genetic Algorithm Essentials Oliver Kramer
2017	B	`conf`	Manifold learning with iterative dimensionality photo-projection. IJCNN Daniel Lückehe, Stefan Oehmcke, Oliver Kramer
2017	—	`conf`	Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. EvoApplications (1) Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer
2017	B	`conf`	Recurrent neural networks and exponential PAA for virtual marine sensors. IJCNN Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2017	—	`conf`	Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. ICONIP (5) Wei Lee Woon, Stefan Oehmcke, Oliver Kramer
2016	B	`conf`	Constrained evolutionary wind turbine placement with penalty functions. CEC Daniel Lückehe, Markus Wagner, Oliver Kramer
2016	—	`conf`	Dimensionality Reduction Hybridizations with Multi-dimensional Scaling. WSOM Oliver Kramer
2016	B	`conf`	Enhanced SVR ensembles for wind power prediction. IJCNN Wei Lee Woon, Oliver Kramer
2016	—	`conf`	Evolutionary Multi-objective Ensembles for Wind Power Prediction. DARE@PKDD/ECML Justin Heinermann, Jörg Lässig, Oliver Kramer
2016	B	`conf`	Generalized cascade classification model with customized transformation based ensembles. IJCNN Judith Neugebauer, Jörg Bremer, Christian Hinrichs, Oliver Kramer, Michael Sonnenschein
2016	—	`conf`	Improving Cascade Classifier Precision by Instance Selection and Outlier Generation. ICAART (2) Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
2016	—	`conf`	Instance Selection and Outlier Generation to Improve the Cascade Classifier Precision. ICAART (Revised Selected Papers) Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
2016	—	`conf`	Local Fitness Meta-Models with Nearest Neighbor Regression. EvoApplications (2) Oliver Kramer
2016	—	`conf`	Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests. DARE@PKDD/ECML Björn Wolff, Oliver Kramer, Detlev Heinemann
2016	—	`ch.`	Statistical Learning for Short-Term Photovoltaic Power Predictions. Computational Sustainability Björn Wolff, Elke Lorenz, Oliver Kramer
2016	C	`conf`	Tackling Common Due Window Problem with a Two-Layered Approach. COCOA Abhishek Awasthi, Jörg Lässig, Thomas Weise, Oliver Kramer
2016	—	`ch.`	Wind Power Prediction with Machine Learning. Computational Sustainability Nils André Treiber, Justin Heinermann, Oliver Kramer
2016	B	`conf`	kNN ensembles with penalized DTW for multivariate time series imputation. IJCNN Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2015	B	`conf`	Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings. EvoApplications Daniel Lückehe, Oliver Kramer
2015	B	`conf`	Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. EvoApplications Stefan Oehmcke, Justin Heinermann, Oliver Kramer
2015	J	`jnl`	Cascade Support Vector Machines with Dimensionality Reduction. Appl. Comput. Intell. Soft Comput. Oliver Kramer
2015	—	`conf`	Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data. DARE Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
2015	B	`conf`	Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. ESANN Nils André Treiber, Stephan Späth, Justin Heinermann, Lueder von Bremen, Oliver Kramer
2015	B	`conf`	Dimensionality reduction in continuous evolutionary optimization. IJCNN Oliver Kramer
2015	Misc	`conf`	Event Detection in Marine Time Series Data. KI Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
2015	B	`conf`	Evolution strategies with Ledoit-Wolf covariance matrix estimation. CEC Oliver Kramer
2015	B	`conf`	Evolutionary feature weighting for wind power prediction with nearest neighbor regression. CEC Nils André Treiber, Oliver Kramer
2015	B	`conf`	Hybrid Manifold Clustering with Evolutionary Tuning. EvoApplications Oliver Kramer
2015	J	`jnl`	Non-intrusive appliance load monitoring with bagging classifiers. Log. J. IGPL Oliver Kramer, Thole Klingenberg, Michael Sonnenschein, Olaf Wilken
2015	A	`conf`	On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints. GECCO Daniel Lückehe, Markus Wagner, Oliver Kramer
2015	—	`conf`	On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. AAAI Workshop: Computational Sustainability Justin Heinermann, Oliver Kramer
2015	—	`conf`	Resilient Propagation for Multivariate Wind Power Prediction. ICPRAM (2) Jannes Stubbemann, Nils André Treiber, Oliver Kramer
2015	Misc	`conf`	Short-Term Wind Power Prediction with Combination of Speed and Power Time Series. KI Justin Heinermann, Oliver Kramer
2015	—	`conf`	Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization. LWA Daniel Lückehe, Oliver Kramer, Manfred Weisensee
2015	B	`conf`	Supervised Manifold Learning with Incremental Stochastic Embeddings. ESANN Oliver Kramer
2015	—	`conf`	Un-restricted Common Due-Date Problem with Controllable Processing Times - Linear Algorithm for a Given Job Sequence. ICEIS (1) Abhishek Awasthi, Jörg Lässig, Oliver Kramer
2015	J	`jnl`	Unsupervised nearest neighbor regression for dimensionality reduction. Soft Comput. Oliver Kramer
2015	B	`conf`	Visualization of evolutionary runs with isometric mapping. CEC Oliver Kramer, Daniel Lückehe
2014	—	`book`	A Brief Introduction to Continuous Evolutionary Optimization. Oliver Kramer
2014	—	`conf`	A Framework for Data Mining in Wind Power Time Series. DARE Oliver Kramer, Fabian Gieseke, Justin Heinermann, Jendrik Poloczek, Nils André Treiber
2014	J	`jnl`	A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines. CoRR Abhishek Awasthi, Jörg Lässig, Oliver Kramer
2014	—	`conf`	A variable kernel function for hybrid unsupervised kernel regression. GECCO (Companion) Daniel Lückehe, Oliver Kramer
2014	—	`conf`	Activity Recognition Using Non-intrusive Appliance Load Monitoring. PECCS Olaf Wilken, Oliver Kramer, Enno-Edzard Steen, Andreas Hein
2014	—	`conf`	An Evolutionary Approach to Geo-Planning of Renewable Energies. EnviroInfo Daniel Lückehe, Oliver Kramer, Manfred Weisensee
2014	—	`conf`	Common Due-Date Problem: Linear Algorithm for a Given Job Sequence. CSE Jörg Lässig, Abhishek Awasthi, Oliver Kramer
2014	—	`conf`	Common Due-Window problem: Polynomial algorithms for a given processing sequence. CIPLS Abhishek Awasthi, Jörg Lässig, Oliver Kramer, Thomas Weise
2014	J	`jnl`	Energieinformatik - Aktuelle und zukünftige Forschungsschwerpunkte. Wirtschaftsinf. Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, José Rivera, Jens P. Ilg, Christoph M. Flath, Hartmut Schmeck, Christof Weinhardt, Daniel Pathmaperuma, Hans-Jürgen Appelrath, Michael Sonnenschein, Sebastian Lehnhoff, Oliver Kramer, Thorsten Staake, Elgar Fleisch, Dirk Neumann, Jens Strüker, Koray Erek, Rüdiger Zarnekow, Holger Ziekow, Jörg Lässig
2014	J	`jnl`	Energy Informatics - Current and Future Research Directions. Bus. Inf. Syst. Eng. Christoph Goebel, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, José Rivera, Jens P. Ilg, Christoph M. Flath, Hartmut Schmeck, Christof Weinhardt, Daniel Pathmaperuma, Hans-Jürgen Appelrath, Michael Sonnenschein, Sebastian Lehnhoff, Oliver Kramer, Thorsten Staake, Elgar Fleisch, Dirk Neumann, Jens Strüker, Koray Erek, Rüdiger Zarnekow, Holger Ziekow, Jörg Lässig
2014	Misc	`conf`	Evolutionary Turbine Selection for Wind Power Predictions. KI Nils André Treiber, Oliver Kramer
2014	J	`jnl`	Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
2014	—	`conf`	KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data. SOCO-CISIS-ICEUTE Jendrik Poloczek, Nils André Treiber, Oliver Kramer
2014	C	`conf`	Leaving Local Optima in Unsupervised Kernel Regression. ICANN Daniel Lückehe, Oliver Kramer
2014	Misc	`conf`	Multi-stage Constraint Surrogate Models for Evolution Strategies. KI Jendrik Poloczek, Oliver Kramer
2014	J	`jnl`	On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
2014	C	`conf`	Precise Wind Power Prediction with SVM Ensemble Regression. ICANN Justin Heinermann, Oliver Kramer
2014	—	`conf`	Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors. EnviroInfo Nils André Treiber, Oliver Kramer
2014	Misc	`conf`	Wind Power Ramp Event Prediction with Support Vector Machines. HAIS Oliver Kramer, Nils André Treiber, Michael Sonnenschein
2013	—	`conf`	Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence. CSE Abhishek Awasthi, Oliver Kramer, Jörg Lässig
2013	J	`jnl`	Aircraft Landing Problem: Efficient Algorithm for a Given Landing Sequence. CoRR Abhishek Awasthi, Oliver Kramer, Jörg Lässig
2013	B	`conf`	An adaptive penalty function with meta-modeling for constrained problems. IEEE Congress on Evolutionary Computation Oliver Kramer, Uli Schlachter, Valentin Spreckels
2013	Misc	`conf`	Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. SYNASC Abhishek Awasthi, Jörg Lässig, Oliver Kramer
2013	J	`jnl`	Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence. CoRR Abhishek Awasthi, Jörg Lässig, Oliver Kramer
2013	—	`book`	Dimensionality Reduction with Unsupervised Nearest Neighbors Oliver Kramer
2013	—	`conf`	Fast Submanifold Learning with Unsupervised Nearest Neighbors. ICANNGA Oliver Kramer
2013	J	`jnl`	Goal distance estimation for automated planning using neural networks and support vector machines. Nat. Comput. Benjamin Satzger, Oliver Kramer
2013	J	`jnl`	Learning morphological maps of galaxies with unsupervised regression. Expert Syst. Appl. Oliver Kramer, Fabian Gieseke, Kai Lars Polsterer
2013	Misc	`conf`	Local SVM Constraint Surrogate Models for Self-adaptive Evolution Strategies. KI Jendrik Poloczek, Oliver Kramer
2013	Misc	`conf`	On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy. KI Justin Heinermann, Oliver Kramer, Kai Lars Polsterer, Fabian Gieseke
2013	—	`conf`	On Missing Data Hybridizations for Dimensionality Reduction. Hybrid Metaheuristics Oliver Kramer
2013	Misc	`conf`	On Mutation Rate Tuning and Control for the (1+1)-EA. KI Oliver Kramer
2013	—	`conf`	Support Vector Machines for Wind Energy Prediction in Smart Grids. EnviroInfo Oliver Kramer, Nils André Treiber, Fabian Gieseke
2013	B	`conf`	Towards Non-linear Constraint Estimation for Expensive Optimization. EvoApplications Fabian Gieseke, Oliver Kramer
2013	J	`jnl`	Wind energy prediction and monitoring with neural computation. Neurocomputing Oliver Kramer, Fabian Gieseke, Benjamin Satzger
2012	—	`conf`	A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality Reduction. ANTS Oliver Kramer
2012	J	`jnl`	Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification. Evol. Intell. Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
2012	J	`jnl`	Evolutionary kernel density regression. Expert Syst. Appl. Oliver Kramer, Fabian Gieseke
2012	J	`jnl`	Evolutionary kernel machines. Evol. Intell. Oliver Kramer, Christian Igel, Günter Rudolph
2012	—	`conf`	On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring. HAIS (1) Oliver Kramer, Olaf Wilken, Petra Beenken, Andreas Hein, Andreas Hüwel, Thole Klingenberg, Christopher Meinecke, T. Raabe, Michael Sonnenschein
2012	B	`conf`	On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression. EvoApplications Oliver Kramer
2012	—	`conf`	On Unsupervised Nearest-neighbor Regression and Robust Loss Functions. ICAART (1) Oliver Kramer
2012	—	`conf`	Sorting High-Dimensional Patterns with Unsupervised Nearest Neighbors. ICAART (Revised Selected Papers) Oliver Kramer
2012	—	`conf`	Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines. ICPRAM (1) Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
2012	A*	`conf`	Unsupervised Multi-class Regularized Least-Squares Classification. ICDM Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
2012	Misc	`conf`	Unsupervised Nearest Neighbors with Kernels. KI Oliver Kramer
2011	J	`jnl`	A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets. Int. J. Comput. Intell. Appl. Oliver Kramer, Holger Danielsiek
2011	Misc	`conf`	Analysis of wind energy time series with kernel methods and neural networks. ICNC Oliver Kramer, Fabian Gieseke
2011	—	`ch.`	Derivative-Free Optimization. Computational Optimization, Methods and Algorithms Oliver Kramer, David Echeverría Ciaurri, Slawomir Koziel
2011	—	`conf`	Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression. ICMLA (1) Oliver Kramer
2011	Misc	`conf`	Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach. KI Jörg Lässig, Benjamin Satzger, Oliver Kramer
2011	—	`conf`	Machine Symbol Grounding and Optimization. ICAART (1) Oliver Kramer
2011	—	`conf`	Monitoring of multivariate wind resources with self-organizing maps and slow feature analysis. CIASG Oliver Kramer, Tobias Hein
2011	J	`jnl`	On Machine Symbol Grounding and Optimization. Int. J. Cogn. Informatics Nat. Intell. Oliver Kramer
2011	—	`conf`	Self-Stabilization in Hierarchically Structured Energy Markets. ITNG Jörg Lässig, Benjamin Satzger, Oliver Kramer
2011	—	`conf`	Short-Term Wind Energy Forecasting Using Support Vector Regression. SOCO Oliver Kramer, Fabian Gieseke
2011	Misc	`conf`	Speedy Local Search for Semi-Supervised Regularized Least-Squares. KI Fabian Gieseke, Oliver Kramer, Antti Airola, Tapio Pahikkala
2011	J	`jnl`	Unsupervised K-Nearest Neighbor Regression CoRR Oliver Kramer
2011	Misc	`conf`	Variance Scaling for EDAs Revisited. KI Oliver Kramer, Fabian Gieseke
2010	J	`jnl`	A Review of Constraint-Handling Techniques for Evolution Strategies. Appl. Comput. Intell. Soft Comput. Oliver Kramer
2010	Misc	`conf`	Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations. KI Andreas Thom, Oliver Kramer
2010	Misc	`conf`	Adaptive Heuristic Estimates for Automated Planning Using Regression. IC-AI Benjamin Satzger, Oliver Kramer, Jörg Lässig
2010	J	`jnl`	Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines. Fundam. Informaticae Oliver Kramer
2010	A	`conf`	DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets. GECCO Oliver Kramer, Holger Danielsiek
2010	C	`conf`	Detecting Quasars in Large-Scale Astronomical Surveys. ICMLA Fabian Gieseke, Kai Lars Polsterer, Andreas Thom, Peter Zinn, Dominik Bomanns, Ralf-Jurgen Dettmar, Oliver Kramer, Jan Vahrenhold
2010	J	`jnl`	Evolutionary self-adaptation: a survey of operators and strategy parameters. Evol. Intell. Oliver Kramer
2010	J	`jnl`	Iterated local search with Powell's method: a memetic algorithm for continuous global optimization. Memetic Comput. Oliver Kramer
2010	—	`conf`	Learning the track and planning ahead in a car racing controller. CIG Jan Quadflieg, Mike Preuss, Oliver Kramer, Günter Rudolph
2010	—	`conf`	Managing Energy in a Virtual Power Plant Using Learning Classifier Systems. GEM Oliver Kramer, Benjamin Satzger, Jörg Lässig
2010	—	`conf`	Power Prediction in Smart Grids with Evolutionary Local Kernel Regression. HAIS (1) Oliver Kramer, Benjamin Satzger, Jörg Lässig
2010	Misc	`conf`	Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps. KI Tobias Hein, Oliver Kramer
2010	—	`conf`	Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping. HAIS (1) Marcel Martin, Jonathan Maycock, Florian Paul Schmidt, Oliver Kramer
2010	J	`jnl`	Theory and Applications of Evolutionary Computation. Appl. Comput. Intell. Soft Comput. Tzung-Pei Hong, Chuan-Kang Ting, Oliver Kramer
2009	—	`book`	Computational Intelligence - Eine Einführung. Oliver Kramer
2009	—	`conf`	Fast Blackbox Optimization: Iterated Local Search and the Strategy of Powell. GEM Oliver Kramer
2009	A*	`conf`	Fast evolutionary maximum margin clustering. ICML Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
2009	A	`conf`	Modeling evolutionary fitness for DNA motif discovery. GECCO Sven Rahmann, Tobias Marschall, Frank Behler, Oliver Kramer
2009	A	`conf`	On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. GECCO Patrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume
2009	Misc	`conf`	Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm. KI Oliver Kramer, Patrick Koch
2009	Misc	`conf`	Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition. KI Oliver Kramer, Tobias Hein
2009	Misc	`conf`	Surrogate Constraint Functions for CMA Evolution Strategies. KI Oliver Kramer, André Barthelmes, Günter Rudolph
2008	A	`conf`	Premature Convergence in Constrained Continuous Search Spaces. PPSN Oliver Kramer
2008	—	`book`	Self-Adaptive Heuristics for Evolutionary Computation Oliver Kramer
2008	—	`conf`	Self-Adaptive Inversion Mutation for Combinatorial Representations. GEM Oliver Kramer
2007	A	`conf`	An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments. GECCO Oliver Kramer, Bartek Gloger, Andreas Goebels
2007	A	`conf`	Self-adaptive partially mapped crossover. GECCO Oliver Kramer, Patrick Koch
2007	A	`conf`	Sex and death: towards biologically inspired heuristics for constraint handling. GECCO Oliver Kramer, Stephan Brügger, Dejan Lazovic
2006	A	`conf`	AI and Music: Toward a Taxonomy of Problem Classes. ECAI Oliver Kramer, Benno Stein, Jürgen Wall
2006	B	`conf`	Evolution of Human-Competitive Agents in Modern Computer Games. IEEE Congress on Evolutionary Computation Steffen Priesterjahn, Oliver Kramer, Alexander Weimer, Andreas Goebels
2006	J	`jnl`	On three new approaches to handle constraints within evolution strategies. Nat. Comput. Oliver Kramer, Hans-Paul Schwefel
2005	A	`conf`	A mutation operator for evolution strategies to handle constrained problems. GECCO Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning
2005	B	`conf`	A new mutation operator for evolution strategies for constrained problems. Congress on Evolutionary Computation Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning
2005	—	`conf`	Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation. ICNC (2) Steffen Priesterjahn, Oliver Kramer, Alexander Weimer, Andreas Goebels