Wolfram Schenck
Fachbereich Ingenieurwissenschaften und Mathematik
https://orcid.org/0000-0003-3300-204831 Publikationen
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, n.d.
FH-PUB
2021 | Artikel | FH-PUB-ID: 1201
Shah, Zafran Hussain, Marcel Müller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas Huser, and Wolfram Schenck. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” Photonics Research 9, no. 5 (2021). https://doi.org/10.1364/PRJ.416437.
FH-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa, and Wolfram Schenck. “A Conceptual and Practical Comparison of PSO-Style Optimization Algorithms.” Expert Systems with Applications 167 (2021). https://doi.org/10.1016/j.eswa.2020.114430.
FH-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE 16, no. 3 (2021). https://doi.org/10.1371/journal.pone.0248896.
FH-PUB
| DOI
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain, Marcel Müller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas Huser, and Wolfram Schenck. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” BioRxiv. Cold Spring Harbor Laboratory, 2020.
FH-PUB
2020 | Artikel | FH-PUB-ID: 1204
Tharwat, Alaa, and Wolfram Schenck. “Balancing Exploration and Exploitation: A Novel Active Learner for Imbalanced Data.” Knowledge-Based Systems 210 (2020). https://doi.org/10.1016/j.knosys.2020.106500.
FH-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1205
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1579–86. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212129.
FH-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David, Alaa Tharwat, and Wolfram Schenck. “How to Label? Combining Experts’ Knowledge for German Text Classification.” In 2020 7th Swiss Conference on Data Science (SDS), 61–62. IEEE, 2020. https://doi.org/10.1109/SDS49233.2020.00023.
FH-PUB
| DOI
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze, and Wolfram Schenck. “Visual Movement Prediction for Stable Grasp Point Detection.” In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, edited by Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, and Elias Pimenidis, 70–81. Proceedings of the International Neural Networks Society. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-48791-1_5.
FH-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” In Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, and Richard Allmendinger, 76–84. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33607-3_9.
FH-PUB
| DOI
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” In Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, 398–406. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-94295-7_28.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics 11 (2017). https://doi.org/10.3389/fninf.2017.00040.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, and Dirk Pleiter. “Evaluation and Performance Modeling of a Burst Buffer Solution.” ACM SIGOPS Operating Systems Review 50, no. 2 (2017): 12–26. https://doi.org/10.1145/3041710.3041714.
FH-PUB
| DOI
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, Markus, Wolfram Schenck, and Arjen van Ooyen, eds. Anatomy and Plasticity in Large-Scale Brain Models. Frontiers Research Topics. Frontiers Media SA, 2017. https://doi.org/10.3389/978-2-88945-065-7.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram, Michael Horst, Tim Tiedemann, Sergius Gaulik, and Ralf Möller. “Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation.” Concurrency and Computation: Practice and Experience 29, no. 4 (2017). https://doi.org/10.1002/cpe.3833.
FH-PUB
| DOI
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus, Wolfram Schenck, and Arjen van Ooyen. “Editorial: Anatomy and Plasticity in Large-Scale Brain Models.” Frontiers in Neuroanatomy 10 (2016). https://doi.org/10.3389/fnana.2016.00108.
FH-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, and Dirk Pleiter. “Early Evaluation of the ‘Infinite Memory Engine’ Burst Buffer Solution.” In High Performance Computing, edited by Michela Taufer, Bernd Mohr, and Julian M. Kunkel, 604–15. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-46079-6_41.
FH-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V., Paul F. Baumeister, Hans Böttiger, Thorsten Hater, Thilo Maurer, Dirk Pleiter, Wolfram Schenck, and Sebastiano Fabio Schifano. “Performance Evaluation of Scientific Applications on POWER8.” In High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, edited by Stephen A. Jarvis, Steven A. Wright, and Simon D. Hammond, 24–45. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2015. https://doi.org/10.1007/978-3-319-17248-4_2.
FH-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.” New Ideas in Psychology 31, no. 3 (2013): 221–38. https://doi.org/10.1016/j.newideapsych.2012.12.003.
FH-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander, Wolfram Schenck, and Ralf Möller. “Solving the Correspondence Problem in Stereo Vision by Internal Simulation.” Adaptive Behavior 21, no. 4 (2013): 239–50. https://doi.org/10.1177/1059712313488425.
FH-PUB
| DOI
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER, Wolfram Schenck, and RALF MÖLLER. “COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX.” International Journal of Neural Systems 20, no. 04 (2012): 293–318. https://doi.org/10.1142/S0129065710002437.
FH-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science 23, no. 4 (2011): 239–83. https://doi.org/10.1080/09540091.2011.625077.
FH-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram, Heiko Hoffmann, and Ralf Möller. “Grasping of Extrafoveal Targets: A Robotic Model.” New Ideas in Psychology 29, no. 3 (2011): 235–59. https://doi.org/10.1016/j.newideapsych.2009.07.005.
FH-PUB
| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram. “Space Perception through Visuokinesthetic Prediction.” In Anticipatory Behavior in Adaptive Learning Systems, edited by Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, and Gianluca Baldassarre, 247–66. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. https://doi.org/10.1007/978-3-642-02565-5_14.
FH-PUB
| DOI
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf, and Wolfram Schenck. “Bootstrapping Cognition from Behavior-A Computerized Thought Experiment.” Cognitive Science 32, no. 3 (2008): 504–42. https://doi.org/10.1080/03640210802035241.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus, Stefanie Schuch, Wolfram Schenck, and Klaus Fiedler. “Emotion and Memory: Event-Related Potential Indices Predictive for Subsequent Successful Memory Depend on the Emotional Mood State.” Advances in Cognitive Psychology 3, no. 3 (2007): 363–73. https://doi.org/10.2478/v10053-008-0001-8.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas, Frank Röben, Wolfram Schenck, and Ralf Möller. “Spectral Contrasts for Landmark Navigation.” Journal of the Optical Society of America A 24, no. 1 (2007). https://doi.org/10.1364/JOSAA.24.000001.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M., S. Schuch, Wolfram Schenck, and K. Fiedler. “Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding.” Cerebral Cortex 17, no. 7 (2007): 1516–30. https://doi.org/10.1093/cercor/bhl062.
FH-PUB
| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” In Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, and Gianluca Baldassarre, 153–69. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. https://doi.org/10.1007/978-3-540-74262-3_9.
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko, Wolfram Schenck, and Ralf Möller. “Learning Visuomotor Transformations for Gaze-Control and Grasping.” Biological Cybernetics 93, no. 2 (2005): 119–30. https://doi.org/10.1007/s00422-005-0575-x.
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus, Wolfram Schenck, Marlin Watling, and Jochen I. Menges. “Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets.” Journal of Personality and Social Psychology 88, no. 2 (2005): 229–44. https://doi.org/10.1037/0022-3514.88.2.229.
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31 Publikationen
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, n.d.
FH-PUB
2021 | Artikel | FH-PUB-ID: 1201
Shah, Zafran Hussain, Marcel Müller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas Huser, and Wolfram Schenck. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” Photonics Research 9, no. 5 (2021). https://doi.org/10.1364/PRJ.416437.
FH-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa, and Wolfram Schenck. “A Conceptual and Practical Comparison of PSO-Style Optimization Algorithms.” Expert Systems with Applications 167 (2021). https://doi.org/10.1016/j.eswa.2020.114430.
FH-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE 16, no. 3 (2021). https://doi.org/10.1371/journal.pone.0248896.
FH-PUB
| DOI
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain, Marcel Müller, Tung-Cheng Wang, Philip Maurice Scheidig, Axel Schneider, Mark Schüttpelz, Thomas Huser, and Wolfram Schenck. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” BioRxiv. Cold Spring Harbor Laboratory, 2020.
FH-PUB
2020 | Artikel | FH-PUB-ID: 1204
Tharwat, Alaa, and Wolfram Schenck. “Balancing Exploration and Exploitation: A Novel Active Learner for Imbalanced Data.” Knowledge-Based Systems 210 (2020). https://doi.org/10.1016/j.knosys.2020.106500.
FH-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1205
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1579–86. IEEE, 2020. https://doi.org/10.1109/ETFA46521.2020.9212129.
FH-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David, Alaa Tharwat, and Wolfram Schenck. “How to Label? Combining Experts’ Knowledge for German Text Classification.” In 2020 7th Swiss Conference on Data Science (SDS), 61–62. IEEE, 2020. https://doi.org/10.1109/SDS49233.2020.00023.
FH-PUB
| DOI
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze, and Wolfram Schenck. “Visual Movement Prediction for Stable Grasp Point Detection.” In Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, edited by Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, and Elias Pimenidis, 70–81. Proceedings of the International Neural Networks Society. Cham: Springer International Publishing, 2020. https://doi.org/10.1007/978-3-030-48791-1_5.
FH-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” In Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, and Richard Allmendinger, 76–84. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2019. https://doi.org/10.1007/978-3-030-33607-3_9.
FH-PUB
| DOI
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” In Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, 398–406. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-94295-7_28.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics 11 (2017). https://doi.org/10.3389/fninf.2017.00040.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, and Dirk Pleiter. “Evaluation and Performance Modeling of a Burst Buffer Solution.” ACM SIGOPS Operating Systems Review 50, no. 2 (2017): 12–26. https://doi.org/10.1145/3041710.3041714.
FH-PUB
| DOI
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, Markus, Wolfram Schenck, and Arjen van Ooyen, eds. Anatomy and Plasticity in Large-Scale Brain Models. Frontiers Research Topics. Frontiers Media SA, 2017. https://doi.org/10.3389/978-2-88945-065-7.
FH-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram, Michael Horst, Tim Tiedemann, Sergius Gaulik, and Ralf Möller. “Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation.” Concurrency and Computation: Practice and Experience 29, no. 4 (2017). https://doi.org/10.1002/cpe.3833.
FH-PUB
| DOI
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus, Wolfram Schenck, and Arjen van Ooyen. “Editorial: Anatomy and Plasticity in Large-Scale Brain Models.” Frontiers in Neuroanatomy 10 (2016). https://doi.org/10.3389/fnana.2016.00108.
FH-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram, Salem El Sayed, Maciej Foszczynski, Wilhelm Homberg, and Dirk Pleiter. “Early Evaluation of the ‘Infinite Memory Engine’ Burst Buffer Solution.” In High Performance Computing, edited by Michela Taufer, Bernd Mohr, and Julian M. Kunkel, 604–15. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-46079-6_41.
FH-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V., Paul F. Baumeister, Hans Böttiger, Thorsten Hater, Thilo Maurer, Dirk Pleiter, Wolfram Schenck, and Sebastiano Fabio Schifano. “Performance Evaluation of Scientific Applications on POWER8.” In High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, edited by Stephen A. Jarvis, Steven A. Wright, and Simon D. Hammond, 24–45. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2015. https://doi.org/10.1007/978-3-319-17248-4_2.
FH-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.” New Ideas in Psychology 31, no. 3 (2013): 221–38. https://doi.org/10.1016/j.newideapsych.2012.12.003.
FH-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander, Wolfram Schenck, and Ralf Möller. “Solving the Correspondence Problem in Stereo Vision by Internal Simulation.” Adaptive Behavior 21, no. 4 (2013): 239–50. https://doi.org/10.1177/1059712313488425.
FH-PUB
| DOI
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER, Wolfram Schenck, and RALF MÖLLER. “COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX.” International Journal of Neural Systems 20, no. 04 (2012): 293–318. https://doi.org/10.1142/S0129065710002437.
FH-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science 23, no. 4 (2011): 239–83. https://doi.org/10.1080/09540091.2011.625077.
FH-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram, Heiko Hoffmann, and Ralf Möller. “Grasping of Extrafoveal Targets: A Robotic Model.” New Ideas in Psychology 29, no. 3 (2011): 235–59. https://doi.org/10.1016/j.newideapsych.2009.07.005.
FH-PUB
| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram. “Space Perception through Visuokinesthetic Prediction.” In Anticipatory Behavior in Adaptive Learning Systems, edited by Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, and Gianluca Baldassarre, 247–66. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. https://doi.org/10.1007/978-3-642-02565-5_14.
FH-PUB
| DOI
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf, and Wolfram Schenck. “Bootstrapping Cognition from Behavior-A Computerized Thought Experiment.” Cognitive Science 32, no. 3 (2008): 504–42. https://doi.org/10.1080/03640210802035241.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus, Stefanie Schuch, Wolfram Schenck, and Klaus Fiedler. “Emotion and Memory: Event-Related Potential Indices Predictive for Subsequent Successful Memory Depend on the Emotional Mood State.” Advances in Cognitive Psychology 3, no. 3 (2007): 363–73. https://doi.org/10.2478/v10053-008-0001-8.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas, Frank Röben, Wolfram Schenck, and Ralf Möller. “Spectral Contrasts for Landmark Navigation.” Journal of the Optical Society of America A 24, no. 1 (2007). https://doi.org/10.1364/JOSAA.24.000001.
FH-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M., S. Schuch, Wolfram Schenck, and K. Fiedler. “Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding.” Cerebral Cortex 17, no. 7 (2007): 1516–30. https://doi.org/10.1093/cercor/bhl062.
FH-PUB
| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” In Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, and Gianluca Baldassarre, 153–69. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. https://doi.org/10.1007/978-3-540-74262-3_9.
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko, Wolfram Schenck, and Ralf Möller. “Learning Visuomotor Transformations for Gaze-Control and Grasping.” Biological Cybernetics 93, no. 2 (2005): 119–30. https://doi.org/10.1007/s00422-005-0575-x.
FH-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus, Wolfram Schenck, Marlin Watling, and Jochen I. Menges. “Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets.” Journal of Personality and Social Psychology 88, no. 2 (2005): 229–44. https://doi.org/10.1037/0022-3514.88.2.229.
FH-PUB
| DOI