Wolfram Schenck

Orcid: 0000-0003-3300-2048

According to our database1, Wolfram Schenck authored at least 38 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive local Principal Component Analysis improves the clustering of high-dimensional data.
Pattern Recognit., February, 2024

NGPCA: Clustering of high-dimensional and non-stationary data streams.
Softw. Impacts, 2024

Technical Readiness of Prescriptive Analytics Platforms: A Survey.
Proceedings of the 35th Conference of Open Innovations Association, 2024

2023
Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.
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.
Sensors, 2022

Open set task augmentation facilitates generalization of deep neural networks trained on small data sets.
Neural Comput. Appl., 2022

Impact of different loss functions on denoising of microscopic images.
Proceedings of the International Joint Conference on Neural Networks, 2022

Collaborative System for Question Answering in German Case Law Documents.
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.
Swarm Evol. Comput., 2021

A three-step model for the detection of stable grasp points with machine learning.
Integr. Comput. Aided Eng., 2021

A conceptual and practical comparison of PSO-style optimization algorithms.
Expert Syst. Appl., 2021

Variational Autoencoder based Novelty Detection for Real-World Time Series.
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.
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.
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.
Knowl. Based Syst., 2020

How to Label? Combining Experts' Knowledge for German Text Classification.
Proceedings of the 7th Swiss Conference on Data Science, 2020

Adaptive Dimensionality Reduction for Local Principal Component Analysis.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Visual Movement Prediction for Stable Grasp Point Detection.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019
Adaptive Dimensionality Adjustment for Online "Principal Component Analysis".
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

2018
A Case Study on Benchmarking IoT Cloud Services.
Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.
Frontiers Neuroinformatics, 2017

Comparing parallel hardware architectures for visually guided robot navigation.
Concurr. Comput. Pract. Exp., 2017

2016
Evaluation and Performance Modeling of a Burst Buffer Solution.
ACM SIGOPS Oper. Syst. Rev., 2016

Detecting Affordances by Visuomotor Simulation.
CoRR, 2016

Early Evaluation of the "Infinite Memory Engine" Burst Buffer Solution.
Proceedings of the High Performance Computing, 2016

2014
Performance Evaluation of Scientific Applications on POWER8.
Proceedings of the High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, 2014

2013
Solving the correspondence problem in stereo vision by internal simulation.
Adapt. Behav., 2013

2011
Kinematic motor learning.
Connect. Sci., 2011

2010
Coupled Singular Value Decomposition of a Cross-Covariance Matrix.
Int. J. Neural Syst., 2010

Adaptive learning rate control for "neural gas principal component analysis".
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Distance functions for local PCA methods.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2008
Adaptive internal models for motor control and visual prediction.
PhD thesis, 2008

Bootstrapping Cognition from Behavior - A Computerized Thought Experiment.
Cogn. Sci., 2008

Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Space Perception through Visuokinesthetic Prediction.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2008

2006
Learning Strategies for Saccade Control.
Künstliche Intell., 2006

Training and Application of a Visual Forward Model for a Robot Camera Head.
Proceedings of the Anticipatory Behavior in Adaptive Learning Systems, 2006

2005
Learning visuomotor transformations for gaze-control and grasping.
Biol. Cybern., 2005


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