Wolfram Schenck

According to our database, Wolfram Schenck authored at least 40 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive local Principal Component Analysis improves the clustering of high-dimensional data.

Nico Migenda, Ralf Möller, Wolfram Schenck

Pattern Recognit., February, 2024

NGPCA: Clustering of high-dimensional and non-stationary data streams.

Nico Migenda, Ralf Möller, Wolfram Schenck

Softw. Impacts, 2024

Image restoration in frequency space using complex-valued CNNs.

Zafran Hussain Shah, Marcel Müller, Wolfgang Hübner, Henning Ortkrass, Barbara Hammer, Thomas Huser, Wolfram Schenck

Frontiers Artif. Intell., 2024

Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition.

Julien Marteen Akay, Wolfram Schenck

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Technical Readiness of Prescriptive Analytics Platforms: A Survey.

Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase

Proceedings of the 35th Conference of Open Innovations Association, 2024

2023

Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.

Constanze Schwan, Wolfram Schenck

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck

Sensors, 2022

Open set task augmentation facilitates generalization of deep neural networks trained on small data sets.

Wadhah Zai El Amri, Felix Reinhart, Wolfram Schenck

Neural Comput. Appl., 2022

Impact of different loss functions on denoising of microscopic images.

Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck

Proceedings of the International Joint Conference on Neural Networks, 2022

Collaborative System for Question Answering in German Case Law Documents.

Christoph Hoppe, Nico Migenda, David Pelkmann, Daniel Hötte, Wolfram Schenck

Proceedings of the Collaborative Networks in Digitalization and Society 5.0, 2022

2021

Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques.

Alaa Tharwat, Wolfram Schenck

Swarm Evol. Comput., 2021

A three-step model for the detection of stable grasp points with machine learning.

Constanze Schwan, Wolfram Schenck

Integr. Comput. Aided Eng., 2021

A conceptual and practical comparison of PSO-style optimization algorithms.

Alaa Tharwat, Wolfram Schenck

Expert Syst. Appl., 2021

Variational Autoencoder based Novelty Detection for Real-World Time Series.

Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck

Proceedings of the MSIE 2021: 3rd International Conference on Management Science and Industrial Engineering, Osaka, Japan, April 2, 2021

Advanced Data Analytics Platform for Manufacturing Companies.

Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.

Christoph Hoppe, David Pelkmann, Nico Migenda, Daniel Hötte, Wolfram Schenck

Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020

Balancing Exploration and Exploitation: A novel active learner for imbalanced data.

Alaa Tharwat, Wolfram Schenck

Knowl. Based Syst., 2020

How to Label? Combining Experts' Knowledge for German Text Classification.

David Pelkmann, Alaa Tharwat, Wolfram Schenck

Proceedings of the 7th Swiss Conference on Data Science, 2020

Adaptive Dimensionality Reduction for Local Principal Component Analysis.

Nico Migenda, Wolfram Schenck

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Visual Movement Prediction for Stable Grasp Point Detection.

Constanze Schwan, Wolfram Schenck

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019

Adaptive Dimensionality Adjustment for Online "Principal Component Analysis".

Nico Migenda, Ralf Möller, Wolfram Schenck

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018

A Case Study on Benchmarking IoT Cloud Services.

Kevin Grünberg, Wolfram Schenck

Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.

Susanne Kunkel, Wolfram Schenck

Frontiers Neuroinformatics, 2017

Comparing parallel hardware architectures for visually guided robot navigation.

Wolfram Schenck, Michael Horst, Tim Tiedemann, Sergius Gaulik, Ralf Möller

Concurr. Comput. Pract. Exp., 2017

2016

Evaluation and Performance Modeling of a Burst Buffer Solution.

Wolfram Schenck, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, Dirk Pleiter

ACM SIGOPS Oper. Syst. Rev., 2016

Detecting Affordances by Visuomotor Simulation.

Wolfram Schenck, Hendrik Hasenbein, Ralf Möller

CoRR, 2016

Early Evaluation of the "Infinite Memory Engine" Burst Buffer Solution.

Wolfram Schenck, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, Dirk Pleiter

Proceedings of the High Performance Computing, 2016

2014

Performance Evaluation of Scientific Applications on POWER8.

Andrew V. Adinetz, Paul F. Baumeister, Hans Böttiger, Thorsten Hater, Thilo Maurer, Dirk Pleiter, Wolfram Schenck, Sebastiano Fabio Schifano

Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

2013

Solving the correspondence problem in stereo vision by internal simulation.

Alexander Kaiser, Wolfram Schenck, Ralf Möller

Adapt. Behav., 2013

2011

Kinematic motor learning.

Wolfram Schenck

Connect. Sci., 2011

2010

Coupled Singular Value Decomposition of a Cross-Covariance Matrix.

Alexander Kaiser, Wolfram Schenck, Ralf Möller

Int. J. Neural Syst., 2010

Adaptive learning rate control for "neural gas principal component analysis".

Wolfram Schenck, Ralph Welsch, Alexander Kaiser, Ralf Möller

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Distance functions for local PCA methods.

Alexander Kaiser, Wolfram Schenck, Ralf Möller

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2008

Adaptive internal models for motor control and visual prediction.

Wolfram Schenck

PhD thesis, 2008

Bootstrapping Cognition from Behavior - A Computerized Thought Experiment.

Ralf Möller, Wolfram Schenck

Cogn. Sci., 2008

Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning.

Wolfram Schenck, Dennis Sinder, Ralf Möller

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Space Perception through Visuokinesthetic Prediction.

Wolfram Schenck

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008

2006

Learning Strategies for Saccade Control.

Wolfram Schenck, Ralf Möller

Künstliche Intell., 2006

Training and Application of a Visual Forward Model for a Robot Camera Head.

Wolfram Schenck, Ralf Möller

Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

2005

Learning visuomotor transformations for gaze-control and grasping.

Heiko Hoffmann, Wolfram Schenck, Ralf Möller

Biol. Cybern., 2005