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2020 – today
- 2024
[j17]Nico Migenda
, Ralf Möller, Wolfram Schenck:
Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. Pattern Recognit. 146: 110030 (2024)- [j16]Nico Migenda, Ralf Möller, Wolfram Schenck:
NGPCA: Clustering of high-dimensional and non-stationary data streams. Softw. Impacts 20: 100635 (2024) - [c20]Marvin Niederhaus, Nico Migenda, Julian Weller, Wolfram Schenck, Martin Kohlhase:
Technical Readiness of Prescriptive Analytics Platforms: A Survey. FRUCT 2024: 509-519 - [c19]Julien Marteen Akay, Wolfram Schenck:
Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. ICANN (8) 2024: 427-444 - 2023
- [c18]Constanze Schwan, Wolfram Schenck:
Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. IJCNN 2023: 1-8 - 2022
- [j15]Wadhah Zai El Amri, Felix Reinhart, Wolfram Schenck:
Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. Neural Comput. Appl. 34(8): 6067-6083 (2022) - [j14]Koenraad Vandevoorde, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, Wolfram Schenck:
Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. Sensors 22(7): 2481 (2022) - [c17]Christoph Hoppe, Nico Migenda, David Pelkmann, Daniel Hötte, Wolfram Schenck:
Collaborative System for Question Answering in German Case Law Documents. PRO-VE 2022: 303-312 - [c16]Zafran Hussain Shah, Marcel Müller, Barbara Hammer, Thomas Huser, Wolfram Schenck:
Impact of different loss functions on denoising of microscopic images. IJCNN 2022: 1-10 - 2021
- [j13]Alaa Tharwat, Wolfram Schenck:
A conceptual and practical comparison of PSO-style optimization algorithms. Expert Syst. Appl. 167: 114430 (2021) - [j12]Constanze Schwan, Wolfram Schenck:
A three-step model for the detection of stable grasp points with machine learning. Integr. Comput. Aided Eng. 28(4): 349-367 (2021) - [j11]Alaa Tharwat, Wolfram Schenck:
Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. Swarm Evol. Comput. 67: 100952 (2021) - [c15]Christoph Hoppe, David Pelkmann, Nico Migenda, Daniel Hötte, Wolfram Schenck:
Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. AIKE 2021: 29-32 - [c14]Tim Voigt, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, Martin Kohlhase:
Advanced Data Analytics Platform for Manufacturing Companies. ETFA 2021: 1-8 - [c13]Luca Steinmann, Nico Migenda, Tim Voigt, Martin Kohlhase, Wolfram Schenck:
Variational Autoencoder based Novelty Detection for Real-World Time Series. MSIE 2021: 1-7 - 2020
- [j10]Alaa Tharwat, Wolfram Schenck:
Balancing Exploration and Exploitation: A novel active learner for imbalanced data. Knowl. Based Syst. 210: 106500 (2020) - [c12]Constanze Schwan, Wolfram Schenck:
Visual Movement Prediction for Stable Grasp Point Detection. EANN 2020: 70-81 - [c11]Nico Migenda, Wolfram Schenck:
Adaptive Dimensionality Reduction for Local Principal Component Analysis. ETFA 2020: 1579-1586 - [c10]David Pelkmann, Alaa Tharwat, Wolfram Schenck:
How to Label? Combining Experts' Knowledge for German Text Classification. SDS 2020: 61-62
2010 – 2019
- 2019
- [c9]Nico Migenda, Ralf Möller, Wolfram Schenck:
Adaptive Dimensionality Adjustment for Online "Principal Component Analysis". IDEAL (1) 2019: 76-84 - 2018
- [c8]Kevin Grünberg, Wolfram Schenck:
A Case Study on Benchmarking IoT Cloud Services. CLOUD 2018: 398-406 - 2017
- [j9]Wolfram Schenck, Michael Horst, Tim Tiedemann, Sergius Gaulik, Ralf Möller:
Comparing parallel hardware architectures for visually guided robot navigation. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j8]Susanne Kunkel, Wolfram Schenck:
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. Frontiers Neuroinformatics 11: 40 (2017) - 2016
- [j7]Wolfram Schenck, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, Dirk Pleiter:
Evaluation and Performance Modeling of a Burst Buffer Solution. ACM SIGOPS Oper. Syst. Rev. 50(3): 12-26 (2016) - [c7]Wolfram Schenck, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, Dirk Pleiter:
Early Evaluation of the "Infinite Memory Engine" Burst Buffer Solution. ISC Workshops 2016: 604-615 - [i1]Wolfram Schenck, Hendrik Hasenbein, Ralf Möller:
Detecting Affordances by Visuomotor Simulation. CoRR abs/1611.00274 (2016) - 2014
- [c6]Andrew V. Adinetz, Paul F. Baumeister, Hans Böttiger, Thorsten Hater, Thilo Maurer, Dirk Pleiter, Wolfram Schenck, Sebastiano Fabio Schifano:
Performance Evaluation of Scientific Applications on POWER8. PMBS@SC 2014: 24-45 - 2013
- [j6]Alexander Kaiser, Wolfram Schenck, Ralf Möller:
Solving the correspondence problem in stereo vision by internal simulation. Adapt. Behav. 21(4): 239-250 (2013) - 2011
- [j5]Wolfram Schenck:
Kinematic motor learning. Connect. Sci. 23(4): 239-283 (2011) - 2010
- [j4]Alexander Kaiser, Wolfram Schenck, Ralf Möller:
Coupled Singular Value Decomposition of a Cross-Covariance Matrix. Int. J. Neural Syst. 20(4): 293-318 (2010) - [c5]Alexander Kaiser, Wolfram Schenck, Ralf Möller:
Distance functions for local PCA methods. ESANN 2010 - [c4]Wolfram Schenck, Ralph Welsch, Alexander Kaiser, Ralf Möller:
Adaptive learning rate control for "neural gas principal component analysis". ESANN 2010
2000 – 2009
- 2008
- [b1]Wolfram Schenck:
Adaptive internal models for motor control and visual prediction. Bielefeld University, 2008, ISBN 978-3-8325-1899-8, pp. 1-299 - [j3]Ralf Möller, Wolfram Schenck:
Bootstrapping Cognition from Behavior - A Computerized Thought Experiment. Cogn. Sci. 32(3): 504-542 (2008) - [c3]Wolfram Schenck:
Space Perception through Visuokinesthetic Prediction. ABiALS 2008: 247-266 - [c2]Wolfram Schenck, Dennis Sinder, Ralf Möller:
Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning. ESANN 2008: 523-528 - 2006
- [j2]Wolfram Schenck, Ralf Möller:
Learning Strategies for Saccade Control. Künstliche Intell. 20(3): 19-22 (2006) - [c1]Wolfram Schenck, Ralf Möller:
Training and Application of a Visual Forward Model for a Robot Camera Head. SAB ABiALS 2006: 153-169 - 2005
- [j1]Heiko Hoffmann, Wolfram Schenck, Ralf Möller:
Learning visuomotor transformations for gaze-control and grasping. Biol. Cybern. 93(2): 119-130 (2005)
Coauthor Index
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last updated on 2024-10-07 22:14 CEST by the dblp team
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