Oliver Kramer

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 60

Top Venues

CoRR

IJCNN

ESANN

Publications

Jill Baumann, Oliver Kramer
Towards Explainable Evolution Strategies with Large Language Models. CoRR (2024)
Jill Baumann, Oliver Kramer
Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments. EvoApplications@EvoStar (2024)
Oliver Kramer
Large Language Models for Tuning Evolution Strategies. CoRR (2024)
Oliver Kramer, Jill Baumann
Wind Power Prediction with ETSformer. ESANN (2023)
Oliver Kramer
Enhancing Evolution Strategies with Evolution Path Bias. ESANN (2023)
Oliver Kramer
A Fast and Simple Evolution Strategy with Covariance Matrix Estimation. ESANN (2022)
Tim Cofala, Oliver Kramer
An evolutionary fragment-based approach to molecular fingerprint reconstruction. GECCO (2022)
Tim Cofala, Thomas Teusch, Oliver Kramer
Spatial Generation of Molecules with Transformers. IJCNN (2021)
Tim Cofala, Oliver Kramer
Transformers for Molecular Graph Generation. ESANN (2021)
Oliver Kramer
Evolutionary Deep Multi-Task Learning. ESANN (2021)
Jonas Prellberg, Oliver Kramer
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. IJCNN (2020)
Nils Worzyk, Stefan Niewerth, Oliver Kramer
Adversarials-1 in Speech Recognition: Detection and Defence. ESANN (2020)
Jonas Prellberg, Oliver Kramer
Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent. CoRR (2020)
Stefan Oehmcke, Thomas Teusch, Thorben Petersen, Thorsten Klüner, Oliver Kramer
Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks. IJCNN (2020)
Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, Oliver Kramer
Earnings Prediction with Deep Learning. KI (2020)
Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer
Evolutionary Multi-Objective Design of SARS-CoV-2 Protease Inhibitor Candidates. CoRR (2020)
Tim Cofala, Lars Elend, Philip Mirbach, Jonas Prellberg, Thomas Teusch, Oliver Kramer
Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates. PPSN (2) (2020)
Lars Elend, Sebastian A. Tideman, Kerstin Lopatta, Oliver Kramer
Earnings Prediction with Deep Learning. CoRR (2020)
Tim Cofala, Lars Elend, Oliver Kramer
Tournament Selection Improves Cartesian Genetic Programming for Atari Games. ESANN (2020)
Oliver Kramer
Learning Step Size Adaptation in Evolution Strategies. ESANN (2020)
Lars Elend, Oliver Kramer
Self-Organizing Maps with Convolutional Layers. WSOM+ (2019)
Jonas Prellberg, Oliver Kramer
Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks. CoRR (2019)
Nils Worzyk, Hendrik Kahlen, Oliver Kramer
Physical Adversarial Attacks by Projecting Perturbations. ICANN (3) (2019)
Tim Silhan, Stefan Oehmcke, Oliver Kramer
Evolution of Stacked Autoencoders. CEC (2019)
Almuth Meier, Oliver Kramer
Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization. ICANN (2) (2019)
Jonas Prellberg, Oliver Kramer
Limited Evaluation Evolutionary Optimization of Large Neural Networks. CoRR (2018)
Jonas Prellberg, Oliver Kramer
Multi-label Classification of Surgical Tools with Convolutional Neural Networks. IJCNN (2018)
Stefan Oehmcke, Oliver Kramer
Knowledge Sharing for Population Based Neural Network Training. KI (2018)
Almuth Meier, Oliver Kramer
Prediction with Recurrent Neural Networks in Evolutionary Dynamic Optimization. EvoApplications (2018)
Nils Worzyk, Oliver Kramer
: Defending by Attacking. IJCNN (2018)
Almuth Meier, Oliver Kramer
Recurrent neural network-predictions for PSO in dynamic optimization. GECCO (2018)
Robert Schadek, Oliver Kramer, Oliver E. Theel
Predicting Read- and Write-Operation Availabilities of Quorum Protocols based on Graph Properties. ICAART (2) (2018)
Jonas Prellberg, Oliver Kramer
Lamarckian Evolution of Convolutional Neural Networks. PPSN (2) (2018)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Direct Training of Dynamic Observation Noise with UMarineNet. ICANN (1) (2018)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Input quality aware convolutional LSTM networks for virtual marine sensors. Neurocomputing 275 (2018)
Jonas Prellberg, Oliver Kramer
Lamarckian Evolution of Convolutional Neural Networks. CoRR (2018)
Nils Worzyk, Oliver Kramer
Properties of adv-1 - Adversarials of Adversarials. ESANN (2018)
Oliver Kramer
Evolution of Convolutional Highway Networks. EvoApplications (2018)
Jonas Prellberg, Oliver Kramer
Limited Evaluation Evolutionary Optimization of Large Neural Networks. KI (2018)
Jonas Prellberg, Oliver Kramer
Multi-label Classification of Surgical Tools with Convolutional Neural Networks. CoRR (2018)
Oliver Kramer
Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings. ICPRAM (2018)
Almuth Meier, Oliver Kramer
An Experimental Study of Dimensionality Reduction Methods. KI (2017)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Recurrent neural networks and exponential PAA for virtual marine sensors. IJCNN (2017)
Daniel Lückehe, Stefan Oehmcke, Oliver Kramer
Manifold learning with iterative dimensionality photo-projection. IJCNN (2017)
Manish Aggarwal, Justin Heinermann, Stefan Oehmcke, Oliver Kramer
Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization. EvoApplications (1) (2017)
Wei Lee Woon, Stefan Oehmcke, Oliver Kramer
Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks. ICONIP (5) (2017)
Ali Ahrari, Oliver Kramer
Finite life span for improving the selection scheme in evolution strategies. Soft Comput. 21 (2) (2017)
Oliver Kramer
Evolution of Convolutional Highway Networks. CoRR (2017)
Oliver Kramer
Evolving Kernel PCA Pipelines with Evolution Strategies. KI (2017)
Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
Instance Selection and Outlier Generation to Improve the Cascade Classifier Precision. ICAART (Revised Selected Papers) (2016)
Daniel Lückehe, Markus Wagner, Oliver Kramer
Constrained evolutionary wind turbine placement with penalty functions. CEC (2016)
Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
Improving Cascade Classifier Precision by Instance Selection and Outlier Generation. ICAART (2) (2016)
Abhishek Awasthi, Jörg Lässig, Thomas Weise, Oliver Kramer
Tackling Common Due Window Problem with a Two-Layered Approach. COCOA (2016)
Justin Heinermann, Jörg Lässig, Oliver Kramer
Evolutionary Multi-objective Ensembles for Wind Power Prediction. DARE@PKDD/ECML (2016)
Judith Neugebauer, Jörg Bremer, Christian Hinrichs, Oliver Kramer, Michael Sonnenschein
Generalized cascade classification model with customized transformation based ensembles. IJCNN (2016)
Björn Wolff, Oliver Kramer, Detlev Heinemann
Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests. DARE@PKDD/ECML (2016)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
kNN ensembles with penalized DTW for multivariate time series imputation. IJCNN (2016)
Oliver Kramer
Dimensionality Reduction Hybridizations with Multi-dimensional Scaling. WSOM (2016)
Oliver Kramer
Local Fitness Meta-Models with Nearest Neighbor Regression. EvoApplications (2) (2016)
Wei Lee Woon, Oliver Kramer
Enhanced SVR ensembles for wind power prediction. IJCNN (2016)
Nils André Treiber, Oliver Kramer
Evolutionary feature weighting for wind power prediction with nearest neighbor regression. CEC (2015)
Abhishek Awasthi, Jörg Lässig, Oliver Kramer
Un-restricted Common Due-Date Problem with Controllable Processing Times - Linear Algorithm for a Given Job Sequence. ICEIS (1) (2015)
Oliver Kramer
Cascade Support Vector Machines with Dimensionality Reduction. Appl. Comput. Intell. Soft Comput. 2015 (2015)
Oliver Kramer
Unsupervised nearest neighbor regression for dimensionality reduction. Soft Comput. 19 (6) (2015)
Oliver Kramer
Supervised Manifold Learning with Incremental Stochastic Embeddings. ESANN (2015)
Justin Heinermann, Oliver Kramer
Short-Term Wind Power Prediction with Combination of Speed and Power Time Series. KI (2015)
Stefan Oehmcke, Oliver Zielinski, Oliver Kramer
Event Detection in Marine Time Series Data. KI (2015)
Jannes Stubbemann, Nils André Treiber, Oliver Kramer
Resilient Propagation for Multivariate Wind Power Prediction. ICPRAM (2) (2015)
Stefan Oehmcke, Justin Heinermann, Oliver Kramer
Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers. EvoApplications (2015)
Oliver Kramer
Evolution strategies with Ledoit-Wolf covariance matrix estimation. CEC (2015)
Justin Heinermann, Oliver Kramer
On Heterogeneous Machine Learning Ensembles for Wind Power Prediction. AAAI Workshop: Computational Sustainability (2015)
Oliver Kramer, Daniel Lückehe
Visualization of evolutionary runs with isometric mapping. CEC (2015)
Nils André Treiber, Stephan Späth, Justin Heinermann, Lueder von Bremen, Oliver Kramer
Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction. ESANN (2015)
Daniel Lückehe, Markus Wagner, Oliver Kramer
On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints. GECCO (2015)
Judith Neugebauer, Oliver Kramer, Michael Sonnenschein
Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data. DARE (2015)
Daniel Lückehe, Oliver Kramer, Manfred Weisensee
Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization. LWA (2015)
Oliver Kramer, Thole Klingenberg, Michael Sonnenschein, Olaf Wilken
Non-intrusive appliance load monitoring with bagging classifiers. Log. J. IGPL 23 (3) (2015)
Oliver Kramer
Hybrid Manifold Clustering with Evolutionary Tuning. EvoApplications (2015)
Oliver Kramer
Dimensionality reduction in continuous evolutionary optimization. IJCNN (2015)
Daniel Lückehe, Oliver Kramer
Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings. EvoApplications (2015)
Daniel Lückehe, Oliver Kramer
A variable kernel function for hybrid unsupervised kernel regression. GECCO (Companion) (2014)
Nils André Treiber, Oliver Kramer
Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors. EnviroInfo (2014)
Nils André Treiber, Oliver Kramer
Evolutionary Turbine Selection for Wind Power Predictions. KI (2014)
Jendrik Poloczek, Oliver Kramer
Multi-stage Constraint Surrogate Models for Evolution Strategies. KI (2014)
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
Energieinformatik - Aktuelle und zukünftige Forschungsschwerpunkte. Wirtschaftsinf. 56 (1) (2014)
Jendrik Poloczek, Nils André Treiber, Oliver Kramer
KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data. SOCO-CISIS-ICEUTE (2014)
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
Energy Informatics - Current and Future Research Directions. Bus. Inf. Syst. Eng. 6 (1) (2014)
Daniel Lückehe, Oliver Kramer, Manfred Weisensee
An Evolutionary Approach to Geo-Planning of Renewable Energies. EnviroInfo (2014)
Oliver Kramer, Nils André Treiber, Michael Sonnenschein
Wind Power Ramp Event Prediction with Support Vector Machines. HAIS (2014)
Oliver Kramer, Fabian Gieseke, Justin Heinermann, Jendrik Poloczek, Nils André Treiber
A Framework for Data Mining in Wind Power Time Series. DARE (2014)
Abhishek Awasthi, Jörg Lässig, Oliver Kramer, Thomas Weise
Common Due-Window problem: Polynomial algorithms for a given processing sequence. CIPLS (2014)
Olaf Wilken, Oliver Kramer, Enno-Edzard Steen, Andreas Hein
Activity Recognition Using Non-intrusive Appliance Load Monitoring. PECCS (2014)
Daniel Lückehe, Oliver Kramer
Leaving Local Optima in Unsupervised Kernel Regression. ICANN (2014)
Tapio Pahikkala, Antti Airola, Fabian Gieseke, Oliver Kramer
On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers. J. Comput. Sci. Technol. 29 (1) (2014)
Fabian Gieseke, Antti Airola, Tapio Pahikkala, Oliver Kramer
Fast and simple gradient-based optimization for semi-supervised support vector machines. Neurocomputing 123 (2014)
Abhishek Awasthi, Jörg Lässig, Oliver Kramer
A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines. CoRR (2014)
Justin Heinermann, Oliver Kramer
Precise Wind Power Prediction with SVM Ensemble Regression. ICANN (2014)
Jörg Lässig, Abhishek Awasthi, Oliver Kramer
Common Due-Date Problem: Linear Algorithm for a Given Job Sequence. CSE (2014)
Oliver Kramer, Fabian Gieseke, Benjamin Satzger
Wind energy prediction and monitoring with neural computation. Neurocomputing 109 (2013)
Abhishek Awasthi, Oliver Kramer, Jörg Lässig
Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence. CSE (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Oliver Kramer