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Wolfram Schenck
Wolfram Schenck
Bielefeld University of Applied Sciences and Arts, Faculty of Engineering and Mathematics
Verified email at hsbi.de - Homepage
Title
Cited by
Cited by
Year
Mood states modulate activity in semantic brain areas during emotional word encoding
M Kiefer, S Schuch, W Schenck, K Fiedler
Cerebral Cortex 17 (7), 1516-1530, 2007
1172007
A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions
A Tharwat, W Schenck
Mathematics 11 (4), 820, 2023
832023
Spontaneous inferences from pictorially presented behaviors
K Fiedler, W Schenck
Personality and Social Psychology Bulletin 27 (11), 1533-1546, 2001
772001
A conceptual and practical comparison of PSO-style optimization algorithms
A Tharwat, W Schenck
Expert Systems with Applications 167, 114430, 2021
742021
Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images
ZH Shah, M Müller, TC Wang, PM Scheidig, A Schneider, M Schüttpelz, ...
Photonics Research 9 (5), B168-B181, 2021
722021
Priming trait inferences through pictures and moving pictures: the impact of open and closed mindsets.
K Fiedler, W Schenck, M Watling, JI Menges
Journal of personality and social psychology 88 (2), 229, 2005
562005
Bootstrapping cognition from behavior—a computerized thought experiment
R Möller, W Schenck
Cognitive Science 32 (3), 504-542, 2008
532008
Learning visuomotor transformations for gaze-control and grasping
H Hoffmann, W Schenck, R Möller
Biological Cybernetics 93 (2), 119-130, 2005
502005
Adaptive dimensionality reduction for neural network-based online principal component analysis
N Migenda, R Möller, W Schenck
PloS one 16 (3), e0248896, 2021
452021
Nest 2.12. 0
S Kunkel, R Deepu, HE Plesser, B Golosio, ME Lepperød, JM Eppler, ...
Jülich Supercomputing Center, 2017
402017
Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques
A Tharwat, W Schenck
Swarm and Evolutionary Computation 67, 100952, 2021
362021
NEST 2.18. 0
J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ...
Jülich Supercomputing Center, 2019
342019
Balancing Exploration and Exploitation: A novel active learner for imbalanced data
A Tharwat, W Schenck
Knowledge-Based Systems 210, 106500, 2020
312020
Spectral contrasts for landmark navigation
T Kollmeier, F Röben, W Schenck, R Möller
Journal of the Optical Society of America A 24 (1), 1-10, 2006
312006
Evaluation and performance modeling of a burst buffer solution
W Schenck, S El Sayed, M Foszczynski, W Homberg, D Pleiter
ACM SIGOPS Operating Systems Review 50 (2), 12-26, 2017
302017
Emotion and memory: Event-related potential indices predictive for subsequent successful memory depend on the emotional mood state
M Kiefer, S Schuch, W Schenck, K Fiedler
Advances in Cognitive Psychology 3 (3), 363-373, 2007
292007
Performance evaluation of scientific applications on POWER8
AV Adinetz, PF Baumeister, H Böttiger, T Hater, T Maurer, D Pleiter, ...
High Performance Computing Systems. Performance Modeling, Benchmarking, and …, 2015
262015
Einflußfaktoren auf die Schlafqualität bei Gesunden.
M Schredl, W Schenck, R Görtelmeyer, I Heuser
Somnologie 2 (3), 1998
241998
Adaptive internal models for motor control and visual prediction
W Schenck
Logos Verlag Berlin GmbH, 2008
232008
Training and application of a visual forward model for a robot camera head
W Schenck, R Möller
Workshop on Anticipatory Behavior in Adaptive Learning Systems, 153-169, 2006
232006
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