Wolfram Schenck
31 Publikationen
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim ; Migenda, Nico ; Schöne, Marvin ; Pelkmann, David ; Fricke, Matthias ; Schenck, Wolfram ; Kohlhase, Martin: Advanced Data Analytics Platform for Manufacturing Companies. In: 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) : IEEE
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| Download (ext.)
2021 | Artikel | FH-PUB-ID: 1201
Shah, Zafran Hussain ; Müller, Marcel ; Wang, Tung-Cheng ; Scheidig, Philip Maurice ; Schneider, Axel ; Schüttpelz, Mark ; Huser, Thomas ; Schenck, Wolfram: Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. In: Photonics Research Bd. 9, The Optical Society (2021), Nr. 5
FH-PUB
| DOI
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain ; Müller, Marcel ; Wang, Tung-Cheng ; Scheidig, Philip Maurice ; Schneider, Axel ; Schüttpelz, Mark ; Huser, Thomas ; Schenck, Wolfram: Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. In: bioRxiv, Cold Spring Harbor Laboratory (2020)
FH-PUB
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze ; Schenck, Wolfram: Visual Movement Prediction for Stable Grasp Point Detection. In: Iliadis, L. ; Angelov, P. P. ; Jayne, C. ; Pimenidis, E. (Hrsg.): Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, Proceedings of the International Neural Networks Society. Cham : Springer International Publishing, 2020, S. 70–81
FH-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”. In: Yin, H. ; Camacho, D. ; Tino, P. ; Tallón-Ballesteros, A. J. ; Menezes, R. ; Allmendinger, R. (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2019, S. 76–84
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram ; El Sayed, Salem ; Foszczynski, Maciej ; Homberg, Wilhelm ; Pleiter, Dirk: Evaluation and Performance Modeling of a Burst Buffer Solution. In: ACM SIGOPS Operating Systems Review Bd. 50, Association for Computing Machinery (ACM) (2017), Nr. 2, S. 12–26
FH-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram ; El Sayed, Salem ; Foszczynski, Maciej ; Homberg, Wilhelm ; Pleiter, Dirk: Early Evaluation of the “Infinite Memory Engine” Burst Buffer Solution. In: Taufer, M. ; Mohr, B. ; Kunkel, J. M. (Hrsg.): High Performance Computing, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2016, S. 604–615
FH-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V. ; Baumeister, Paul F. ; Böttiger, Hans ; Hater, Thorsten ; Maurer, Thilo ; Pleiter, Dirk ; Schenck, Wolfram ; Schifano, Sebastiano Fabio: Performance Evaluation of Scientific Applications on POWER8. In: Jarvis, S. A. ; Wright, S. A. ; Hammond, S. D. (Hrsg.): High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2015, S. 24–45
FH-PUB
| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram: Space Perception through Visuokinesthetic Prediction. In: Pezzulo, G. ; Butz, M. V. ; Sigaud, O. ; Baldassarre, G. (Hrsg.): Anticipatory Behavior in Adaptive Learning Systems, Lecture Notes in Computer Science. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009, S. 247–266
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus ; Schuch, Stefanie ; Schenck, Wolfram ; Fiedler, Klaus: Emotion and memory: Event-related potential indices predictive for subsequent successful memory depend on the emotional mood state. In: Advances in Cognitive Psychology Bd. 3, University of Economics and Human Sciences in Warsaw (2007), Nr. 3, S. 363–373
FH-PUB
| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram ; Möller, Ralf: Training and Application of a Visual Forward Model for a Robot Camera Head. In: Butz, M. V. ; Sigaud, O. ; Pezzulo, G. ; Baldassarre, G. (Hrsg.): Anticipatory Behavior in Adaptive Learning Systems, Lecture Notes in Computer Science. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007, S. 153–169
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus ; Schenck, Wolfram ; Watling, Marlin ; Menges, Jochen I.: Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets. In: Journal of Personality and Social Psychology Bd. 88, American Psychological Association (APA) (2005), Nr. 2, S. 229–244
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31 Publikationen
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim ; Migenda, Nico ; Schöne, Marvin ; Pelkmann, David ; Fricke, Matthias ; Schenck, Wolfram ; Kohlhase, Martin: Advanced Data Analytics Platform for Manufacturing Companies. In: 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) : IEEE
FH-PUB
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 1201
Shah, Zafran Hussain ; Müller, Marcel ; Wang, Tung-Cheng ; Scheidig, Philip Maurice ; Schneider, Axel ; Schüttpelz, Mark ; Huser, Thomas ; Schenck, Wolfram: Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. In: Photonics Research Bd. 9, The Optical Society (2021), Nr. 5
FH-PUB
| DOI
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain ; Müller, Marcel ; Wang, Tung-Cheng ; Scheidig, Philip Maurice ; Schneider, Axel ; Schüttpelz, Mark ; Huser, Thomas ; Schenck, Wolfram: Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images. In: bioRxiv, Cold Spring Harbor Laboratory (2020)
FH-PUB
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze ; Schenck, Wolfram: Visual Movement Prediction for Stable Grasp Point Detection. In: Iliadis, L. ; Angelov, P. P. ; Jayne, C. ; Pimenidis, E. (Hrsg.): Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, Proceedings of the International Neural Networks Society. Cham : Springer International Publishing, 2020, S. 70–81
FH-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”. In: Yin, H. ; Camacho, D. ; Tino, P. ; Tallón-Ballesteros, A. J. ; Menezes, R. ; Allmendinger, R. (Hrsg.): Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2019, S. 76–84
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram ; El Sayed, Salem ; Foszczynski, Maciej ; Homberg, Wilhelm ; Pleiter, Dirk: Evaluation and Performance Modeling of a Burst Buffer Solution. In: ACM SIGOPS Operating Systems Review Bd. 50, Association for Computing Machinery (ACM) (2017), Nr. 2, S. 12–26
FH-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram ; El Sayed, Salem ; Foszczynski, Maciej ; Homberg, Wilhelm ; Pleiter, Dirk: Early Evaluation of the “Infinite Memory Engine” Burst Buffer Solution. In: Taufer, M. ; Mohr, B. ; Kunkel, J. M. (Hrsg.): High Performance Computing, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2016, S. 604–615
FH-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V. ; Baumeister, Paul F. ; Böttiger, Hans ; Hater, Thorsten ; Maurer, Thilo ; Pleiter, Dirk ; Schenck, Wolfram ; Schifano, Sebastiano Fabio: Performance Evaluation of Scientific Applications on POWER8. In: Jarvis, S. A. ; Wright, S. A. ; Hammond, S. D. (Hrsg.): High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2015, S. 24–45
FH-PUB
| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram: Space Perception through Visuokinesthetic Prediction. In: Pezzulo, G. ; Butz, M. V. ; Sigaud, O. ; Baldassarre, G. (Hrsg.): Anticipatory Behavior in Adaptive Learning Systems, Lecture Notes in Computer Science. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009, S. 247–266
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus ; Schuch, Stefanie ; Schenck, Wolfram ; Fiedler, Klaus: Emotion and memory: Event-related potential indices predictive for subsequent successful memory depend on the emotional mood state. In: Advances in Cognitive Psychology Bd. 3, University of Economics and Human Sciences in Warsaw (2007), Nr. 3, S. 363–373
FH-PUB
| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram ; Möller, Ralf: Training and Application of a Visual Forward Model for a Robot Camera Head. In: Butz, M. V. ; Sigaud, O. ; Pezzulo, G. ; Baldassarre, G. (Hrsg.): Anticipatory Behavior in Adaptive Learning Systems, Lecture Notes in Computer Science. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007, S. 153–169
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus ; Schenck, Wolfram ; Watling, Marlin ; Menges, Jochen I.: Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets. In: Journal of Personality and Social Psychology Bd. 88, American Psychological Association (APA) (2005), Nr. 2, S. 229–244
FH-PUB
| DOI