Learning visuomotor transformations for gaze-control and grasping. - Heiko Hoffmann; Wolfram Schenck; Ralf Möller 002 (Biol. Cybern., 2005)

Training and Application of a Visual Forward Model for a Robot Camera Head. - Wolfram Schenck; Ralf Möller 002 (SAB ABiALS, 2006)

Learning Strategies for Saccade Control. - Wolfram Schenck; Ralf Möller 002 (Künstliche Intell., 2006)

Space Perception through Visuokinesthetic Prediction. - Wolfram Schenck (ABiALS, 2008)

Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning. - Wolfram Schenck; Dennis Sinder; Ralf Möller 002 (ESANN, 2008)

Bootstrapping Cognition from Behavior - A Computerized Thought Experiment. - Ralf Möller 002; Wolfram Schenck (Cogn. Sci., 2008)

Adaptive internal models for motor control and visual prediction. - Wolfram Schenck (2008)

Distance functions for local PCA methods. - Alexander Kaiser 003; Wolfram Schenck; Ralf Möller 002 (ESANN, 2010)

Adaptive learning rate control for "neural gas principal component analysis". - Wolfram Schenck; Ralph Welsch; Alexander Kaiser 003; Ralf Möller 002 (ESANN, 2010)

Coupled Singular Value Decomposition of a Cross-Covariance Matrix. - Alexander Kaiser 003; Wolfram Schenck; Ralf Möller 002 (Int. J. Neural Syst., 2010)

Kinematic motor learning. - Wolfram Schenck (Connect. Sci., 2011)

Solving the correspondence problem in stereo vision by internal simulation. - Alexander Kaiser 003; Wolfram Schenck; Ralf Möller 002 (Adapt. Behav., 2013)

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 (PMBS@SC, 2014)

Early Evaluation of the "Infinite Memory Engine" Burst Buffer Solution. - Wolfram Schenck; Salem El Sayed; Maciej Foszczynski; Wilhelm Homberg; Dirk Pleiter (ISC Workshops, 2016)

Detecting Affordances by Visuomotor Simulation. - Wolfram Schenck; Hendrik Hasenbein; Ralf Möller 002 (CoRR, 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)

Comparing parallel hardware architectures for visually guided robot navigation. - Wolfram Schenck; Michael Horst; Tim Tiedemann; Sergius Gaulik; Ralf Möller 002 (Concurr. Comput. Pract. Exp., 2017)

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. - Susanne Kunkel; Wolfram Schenck (Frontiers Neuroinformatics, 2017)

A Case Study on Benchmarking IoT Cloud Services. - Kevin Grünberg; Wolfram Schenck (CLOUD, 2018)

Adaptive Dimensionality Adjustment for Online "Principal Component Analysis". - Nico Migenda; Ralf Möller 002; Wolfram Schenck (IDEAL (1), 2019)

Visual Movement Prediction for Stable Grasp Point Detection. - Constanze Schwan; Wolfram Schenck (EANN, 2020)

Adaptive Dimensionality Reduction for Local Principal Component Analysis. - Nico Migenda; Wolfram Schenck (ETFA, 2020)

How to Label? Combining Experts' Knowledge for German Text Classification. - David Pelkmann; Alaa Tharwat; Wolfram Schenck (SDS, 2020)

Balancing Exploration and Exploitation: A novel active learner for imbalanced data. - Alaa Tharwat; Wolfram Schenck (Knowl. Based Syst., 2020)

Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. - Christoph Hoppe; David Pelkmann; Nico Migenda; Daniel Hötte; Wolfram Schenck (AIKE, 2021)

Advanced Data Analytics Platform for Manufacturing Companies. - Tim Voigt; Nico Migenda; Marvin Schöne; David Pelkmann; Matthias Fricke; Wolfram Schenck; Martin Kohlhase (ETFA, 2021)

Variational Autoencoder based Novelty Detection for Real-World Time Series. - Luca Steinmann; Nico Migenda; Tim Voigt; Martin Kohlhase; Wolfram Schenck (MSIE, 2021)

A conceptual and practical comparison of PSO-style optimization algorithms. - Alaa Tharwat; Wolfram Schenck (Expert Syst. Appl., 2021)

A three-step model for the detection of stable grasp points with machine learning. - Constanze Schwan; Wolfram Schenck (Integr. Comput. Aided Eng., 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)

Collaborative System for Question Answering in German Case Law Documents. - Christoph Hoppe; Nico Migenda; David Pelkmann; Daniel Hötte; Wolfram Schenck (PRO-VE, 2022)

Impact of different loss functions on denoising of microscopic images. - Zafran Hussain Shah; Marcel Müller; Barbara Hammer; Thomas Huser; Wolfram Schenck (IJCNN, 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)

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)

Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. - Constanze Schwan; Wolfram Schenck (IJCNN, 2023)

Technical Readiness of Prescriptive Analytics Platforms: A Survey. - Marvin Niederhaus; Nico Migenda; Julian Weller; Wolfram Schenck; Martin Kohlhase (FRUCT, 2024)

Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. - Julien Marteen Akay; Wolfram Schenck (ICANN (8), 2024)

Image restoration in frequency space using complex-valued CNNs. - Zafran Hussain Shah; Marcel Müller; Wolfgang Hübner 005; Henning Ortkrass; Barbara Hammer; Thomas Huser; Wolfram Schenck (Frontiers Artif. Intell., 2024)

NGPCA: Clustering of high-dimensional and non-stationary data streams. - Nico Migenda; Ralf Möller 002; Wolfram Schenck (Softw. Impacts, 2024)

Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. - Alaa Tharwat; Wolfram Schenck (IEEE Trans. Knowl. Data Eng., 2024)

Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. - Nico Migenda; Ralf Möller 002; Wolfram Schenck (Pattern Recognit., 2024)

Active Learning for Handling Missing Data. - Alaa Tharwat; Wolfram Schenck (IEEE Trans. Neural Networks Learn. Syst., 2025)