PUBLIKATIONSSERVER

Wolfram Schenck

https://orcid.org/0000-0003-3300-2048

44 Publikationen

Alle markieren

[44]
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. In: Pattern Recognition Bd. 146, Elsevier BV (2024)
HSBI-PUB | DOI
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze ; Schenck, Wolfram: Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. In: 2023 International Joint Conference on Neural Networks (IJCNN) : IEEE, 2023, S. 1–8
HSBI-PUB | DOI
 
[42]
2023 | Artikel | FH-PUB-ID: 2774 | OA
Tharwat, Alaa ; Schenck, Wolfram: A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. In: Mathematics Bd. 11, MDPI AG (2023), Nr. 4
HSBI-PUB | DOI | Download (ext.)
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, Nils ; Mechtenberg, Malte ; Schenck, Wolfram ; Meyer, Hanno Gerd ; Schneider, Axel: sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters. In: PLOS ONE Bd. 18, Public Library of Science (PLoS) (2023), Nr. 8
HSBI-PUB | DOI | Download (ext.)
 
[40]
2022 | Artikel | FH-PUB-ID: 1799 | OA
Vandevoorde, Koenraad ; Vollenkemper, Lukas ; Schwan, Constanze ; Kohlhase, Martin ; Schenck, Wolfram: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. In: Sensors Bd. 22, MDPI AG (2022), Nr. 7
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[39]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain ; Muller, Marcel ; Hammer, Barbara ; Huser, Thomas ; Schenck, Wolfram: Impact of different loss functions on denoising of microscopic images. In: 2022 International Joint Conference on Neural Networks (IJCNN) : IEEE, 2022, S. 1–10
HSBI-PUB | DOI
 
[38]
2022 | Artikel | FH-PUB-ID: 2944 | OA
Zai El Amri, Wadhah ; Reinhart, Felix ; Schenck, Wolfram: Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. In: Neural Computing and Applications Bd. 34, Springer Science and Business Media LLC (2022), Nr. 8, S. 6067–6083
HSBI-PUB | DOI | Download (ext.)
 
[37]
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 | OA
Schwan, Constanze ; Schenck, Wolfram: Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking. In: Jasperneite, J. ; Lohweg, V. (Hrsg.): Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, Technologien für die intelligente Automation. Berlin, Heidelberg : Springer Berlin Heidelberg, 2022, S. 291–303
HSBI-PUB | DOI | Download (ext.)
 
[36]
2022 | Artikel | FH-PUB-ID: 2775 | OA
Tharwat, Alaa ; Schenck, Wolfram: A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. In: Mathematics Bd. 10, MDPI AG (2022), Nr. 7
HSBI-PUB | DOI | Download (ext.)
 
[35]
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph ; Migenda, Nico ; Pelkmann, David ; Hötte, Daniel Antonius ; Schenck, Wolfram: Collaborative System for Question Answering in German Case Law Documents. In: Camarinha-Matos, L. M. ; Ortiz, A. ; Boucher, X. ; Osório, A. L. (Hrsg.): Collaborative Networks in Digitalization and Society 5.0, IFIP Advances in Information and Communication Technology. Cham : Springer International Publishing, 2022, S. 303–312
HSBI-PUB | DOI
 
[34]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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
HSBI-PUB | DOI | Download (ext.)
 
[33]
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph ; Pelkmann, David ; Migenda, Nico ; Hotte, Daniel Antonius ; Schenck, Wolfram: Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. In: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) : IEEE, 2021, S. 29–32
HSBI-PUB | DOI
 
[32]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim ; Migenda, Nico ; Schöne, Marvin ; Pelkmann, David ; Fricke, Matthias ; Schenck, Wolfram ; Kohlhase, Martin: Advanced Data Analytics Platform for Manufacturing Companies. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ) : IEEE, 2021, S. 01–08
HSBI-PUB | DOI
 
[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca ; Migenda, Nico ; Voigt, Tim ; Kohlhase, Martin ; Schenck, Wolfram: Variational Autoencoder based Novelty Detection for Real-World Time Series. In: 2021 3rd International Conference on Management Science and Industrial Engineering. New York, NY, USA : ACM, 2021, S. 1–7
HSBI-PUB | DOI
 
[30]
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive dimensionality reduction for neural network-based online principal component analysis. In: PLOS ONE Bd. 16, Public Library of Science (PLoS) (2021), Nr. 3
HSBI-PUB | DOI
 
[29]
2021 | Artikel | FH-PUB-ID: 2777
Tharwat, Alaa ; Schenck, Wolfram: Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. In: Swarm and Evolutionary Computation Bd. 67, Elsevier BV (2021)
HSBI-PUB | DOI
 
[28]
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa ; Schenck, Wolfram: A conceptual and practical comparison of PSO-style optimization algorithms. In: Expert Systems with Applications Bd. 167, Elsevier BV (2021)
HSBI-PUB | DOI
 
[27]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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 : Cold Spring Harbor Laboratory, 2020
HSBI-PUB | DOI | Download (ext.)
 
[26]
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico ; Schenck, Wolfram: Adaptive Dimensionality Reduction for Local Principal Component Analysis. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) : IEEE, 2020, S. 1579–1586
HSBI-PUB | DOI
 
[25]
2020 | Artikel | FH-PUB-ID: 1204
Tharwat, Alaa ; Schenck, Wolfram: Balancing Exploration and Exploitation: A novel active learner for imbalanced data. In: Knowledge-Based Systems Bd. 210, Elsevier BV (2020)
HSBI-PUB | DOI
 
[24]
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David ; Tharwat, Alaa ; Schenck, Wolfram: How to Label? Combining Experts’ Knowledge for German Text Classification. In: 2020 7th Swiss Conference on Data Science (SDS) : IEEE, 2020, S. 61–62
HSBI-PUB | DOI
 
[23]
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
HSBI-PUB | DOI
 
[22]
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
HSBI-PUB | DOI
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin ; Schenck, Wolfram: A Case Study on Benchmarking IoT Cloud Services. In: Luo, M. ; Zhang, L.-J. (Hrsg.): Cloud Computing – CLOUD 2018, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2018, S. 398–406
HSBI-PUB | DOI
 
[20]
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne ; Schenck, Wolfram: The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. In: Frontiers in Neuroinformatics Bd. 11, Frontiers Media SA (2017)
HSBI-PUB | DOI
 
[19]
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
HSBI-PUB | DOI
 
[18]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, M. ; Schenck, W. ; van Ooyen, A. (Hrsg.): Anatomy and Plasticity in Large-Scale Brain Models, Frontiers Research Topics : Frontiers Media SA, 2017
HSBI-PUB | DOI
 
[17]
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram ; Horst, Michael ; Tiedemann, Tim ; Gaulik, Sergius ; Möller, Ralf: Comparing parallel hardware architectures for visually guided robot navigation. In: Concurrency and Computation: Practice and Experience Bd. 29, Wiley (2017), Nr. 4
HSBI-PUB | DOI
 
[16]
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus ; Schenck, Wolfram ; van Ooyen, Arjen: Editorial: Anatomy and Plasticity in Large-Scale Brain Models. In: Frontiers in Neuroanatomy Bd. 10, Frontiers Media SA (2016)
HSBI-PUB | DOI
 
[15]
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
HSBI-PUB | DOI
 
[14]
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
HSBI-PUB | DOI
 
[13]
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram: Robot studies on saccade-triggered visual prediction. In: New Ideas in Psychology Bd. 31, Elsevier BV (2013), Nr. 3, S. 221–238
HSBI-PUB | DOI
 
[12]
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander ; Schenck, Wolfram ; Möller, Ralf: Solving the correspondence problem in stereo vision by internal simulation. In: Adaptive Behavior Bd. 21, SAGE Publications (2013), Nr. 4, S. 239–250
HSBI-PUB | DOI
 
[11]
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER ; Schenck, Wolfram ; MÖLLER, RALF: COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX. In: International Journal of Neural Systems Bd. 20, World Scientific Pub Co Pte Lt (2012), Nr. 04, S. 293–318
HSBI-PUB | DOI
 
[10]
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram: Kinematic motor learning. In: Connection Science Bd. 23, Informa UK Limited (2011), Nr. 4, S. 239–283
HSBI-PUB | DOI
 
[9]
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram ; Hoffmann, Heiko ; Möller, Ralf: Grasping of extrafoveal targets: A robotic model. In: New Ideas in Psychology Bd. 29, Elsevier BV (2011), Nr. 3, S. 235–259
HSBI-PUB | DOI
 
[8]
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
HSBI-PUB | DOI
 
[7]
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf ; Schenck, Wolfram: Bootstrapping Cognition from Behavior-A Computerized Thought Experiment. In: Cognitive Science Bd. 32, Wiley (2008), Nr. 3, S. 504–542
HSBI-PUB | DOI
 
[6]
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
HSBI-PUB | DOI
 
[5]
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas ; Röben, Frank ; Schenck, Wolfram ; Möller, Ralf: Spectral contrasts for landmark navigation. In: Journal of the Optical Society of America A Bd. 24, The Optical Society (2007), Nr. 1
HSBI-PUB | DOI
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M. ; Schuch, S. ; Schenck, Wolfram ; Fiedler, K.: Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding. In: Cerebral Cortex Bd. 17, Oxford University Press (OUP) (2007), Nr. 7, S. 1516–1530
HSBI-PUB | DOI
 
[3]
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
HSBI-PUB | DOI
 
[2]
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko ; Schenck, Wolfram ; Möller, Ralf: Learning visuomotor transformations for gaze-control and grasping. In: Biological Cybernetics Bd. 93, Springer Science and Business Media LLC (2005), Nr. 2, S. 119–130
HSBI-PUB | DOI
 
[1]
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
HSBI-PUB | DOI
 
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44 Publikationen

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[44]
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive local Principal Component Analysis improves the clustering of high-dimensional data. In: Pattern Recognition Bd. 146, Elsevier BV (2024)
HSBI-PUB | DOI
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze ; Schenck, Wolfram: Object View Prediction with Aleatoric Uncertainty for Robotic Grasping. In: 2023 International Joint Conference on Neural Networks (IJCNN) : IEEE, 2023, S. 1–8
HSBI-PUB | DOI
 
[42]
2023 | Artikel | FH-PUB-ID: 2774 | OA
Tharwat, Alaa ; Schenck, Wolfram: A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions. In: Mathematics Bd. 11, MDPI AG (2023), Nr. 4
HSBI-PUB | DOI | Download (ext.)
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, Nils ; Mechtenberg, Malte ; Schenck, Wolfram ; Meyer, Hanno Gerd ; Schneider, Axel: sEMG-based prediction of human forearm movements utilizing a biomechanical model based on individual anatomical/ physiological measures and a reduced set of optimization parameters. In: PLOS ONE Bd. 18, Public Library of Science (PLoS) (2023), Nr. 8
HSBI-PUB | DOI | Download (ext.)
 
[40]
2022 | Artikel | FH-PUB-ID: 1799 | OA
Vandevoorde, Koenraad ; Vollenkemper, Lukas ; Schwan, Constanze ; Kohlhase, Martin ; Schenck, Wolfram: Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks. In: Sensors Bd. 22, MDPI AG (2022), Nr. 7
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[39]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain ; Muller, Marcel ; Hammer, Barbara ; Huser, Thomas ; Schenck, Wolfram: Impact of different loss functions on denoising of microscopic images. In: 2022 International Joint Conference on Neural Networks (IJCNN) : IEEE, 2022, S. 1–10
HSBI-PUB | DOI
 
[38]
2022 | Artikel | FH-PUB-ID: 2944 | OA
Zai El Amri, Wadhah ; Reinhart, Felix ; Schenck, Wolfram: Open set task augmentation facilitates generalization of deep neural networks trained on small data sets. In: Neural Computing and Applications Bd. 34, Springer Science and Business Media LLC (2022), Nr. 8, S. 6067–6083
HSBI-PUB | DOI | Download (ext.)
 
[37]
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 | OA
Schwan, Constanze ; Schenck, Wolfram: Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking. In: Jasperneite, J. ; Lohweg, V. (Hrsg.): Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, Technologien für die intelligente Automation. Berlin, Heidelberg : Springer Berlin Heidelberg, 2022, S. 291–303
HSBI-PUB | DOI | Download (ext.)
 
[36]
2022 | Artikel | FH-PUB-ID: 2775 | OA
Tharwat, Alaa ; Schenck, Wolfram: A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data. In: Mathematics Bd. 10, MDPI AG (2022), Nr. 7
HSBI-PUB | DOI | Download (ext.)
 
[35]
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph ; Migenda, Nico ; Pelkmann, David ; Hötte, Daniel Antonius ; Schenck, Wolfram: Collaborative System for Question Answering in German Case Law Documents. In: Camarinha-Matos, L. M. ; Ortiz, A. ; Boucher, X. ; Osório, A. L. (Hrsg.): Collaborative Networks in Digitalization and Society 5.0, IFIP Advances in Information and Communication Technology. Cham : Springer International Publishing, 2022, S. 303–312
HSBI-PUB | DOI
 
[34]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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
HSBI-PUB | DOI | Download (ext.)
 
[33]
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph ; Pelkmann, David ; Migenda, Nico ; Hotte, Daniel Antonius ; Schenck, Wolfram: Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents. In: 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) : IEEE, 2021, S. 29–32
HSBI-PUB | DOI
 
[32]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim ; Migenda, Nico ; Schöne, Marvin ; Pelkmann, David ; Fricke, Matthias ; Schenck, Wolfram ; Kohlhase, Martin: Advanced Data Analytics Platform for Manufacturing Companies. In: 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ) : IEEE, 2021, S. 01–08
HSBI-PUB | DOI
 
[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca ; Migenda, Nico ; Voigt, Tim ; Kohlhase, Martin ; Schenck, Wolfram: Variational Autoencoder based Novelty Detection for Real-World Time Series. In: 2021 3rd International Conference on Management Science and Industrial Engineering. New York, NY, USA : ACM, 2021, S. 1–7
HSBI-PUB | DOI
 
[30]
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: Adaptive dimensionality reduction for neural network-based online principal component analysis. In: PLOS ONE Bd. 16, Public Library of Science (PLoS) (2021), Nr. 3
HSBI-PUB | DOI
 
[29]
2021 | Artikel | FH-PUB-ID: 2777
Tharwat, Alaa ; Schenck, Wolfram: Population initialization techniques for evolutionary algorithms for single-objective constrained optimization problems: Deterministic vs. stochastic techniques. In: Swarm and Evolutionary Computation Bd. 67, Elsevier BV (2021)
HSBI-PUB | DOI
 
[28]
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa ; Schenck, Wolfram: A conceptual and practical comparison of PSO-style optimization algorithms. In: Expert Systems with Applications Bd. 167, Elsevier BV (2021)
HSBI-PUB | DOI
 
[27]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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 : Cold Spring Harbor Laboratory, 2020
HSBI-PUB | DOI | Download (ext.)
 
[26]
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico ; Schenck, Wolfram: Adaptive Dimensionality Reduction for Local Principal Component Analysis. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) : IEEE, 2020, S. 1579–1586
HSBI-PUB | DOI
 
[25]
2020 | Artikel | FH-PUB-ID: 1204
Tharwat, Alaa ; Schenck, Wolfram: Balancing Exploration and Exploitation: A novel active learner for imbalanced data. In: Knowledge-Based Systems Bd. 210, Elsevier BV (2020)
HSBI-PUB | DOI
 
[24]
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David ; Tharwat, Alaa ; Schenck, Wolfram: How to Label? Combining Experts’ Knowledge for German Text Classification. In: 2020 7th Swiss Conference on Data Science (SDS) : IEEE, 2020, S. 61–62
HSBI-PUB | DOI
 
[23]
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
HSBI-PUB | DOI
 
[22]
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
HSBI-PUB | DOI
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin ; Schenck, Wolfram: A Case Study on Benchmarking IoT Cloud Services. In: Luo, M. ; Zhang, L.-J. (Hrsg.): Cloud Computing – CLOUD 2018, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2018, S. 398–406
HSBI-PUB | DOI
 
[20]
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne ; Schenck, Wolfram: The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code. In: Frontiers in Neuroinformatics Bd. 11, Frontiers Media SA (2017)
HSBI-PUB | DOI
 
[19]
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
HSBI-PUB | DOI
 
[18]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, M. ; Schenck, W. ; van Ooyen, A. (Hrsg.): Anatomy and Plasticity in Large-Scale Brain Models, Frontiers Research Topics : Frontiers Media SA, 2017
HSBI-PUB | DOI
 
[17]
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram ; Horst, Michael ; Tiedemann, Tim ; Gaulik, Sergius ; Möller, Ralf: Comparing parallel hardware architectures for visually guided robot navigation. In: Concurrency and Computation: Practice and Experience Bd. 29, Wiley (2017), Nr. 4
HSBI-PUB | DOI
 
[16]
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus ; Schenck, Wolfram ; van Ooyen, Arjen: Editorial: Anatomy and Plasticity in Large-Scale Brain Models. In: Frontiers in Neuroanatomy Bd. 10, Frontiers Media SA (2016)
HSBI-PUB | DOI
 
[15]
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
HSBI-PUB | DOI
 
[14]
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
HSBI-PUB | DOI
 
[13]
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram: Robot studies on saccade-triggered visual prediction. In: New Ideas in Psychology Bd. 31, Elsevier BV (2013), Nr. 3, S. 221–238
HSBI-PUB | DOI
 
[12]
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander ; Schenck, Wolfram ; Möller, Ralf: Solving the correspondence problem in stereo vision by internal simulation. In: Adaptive Behavior Bd. 21, SAGE Publications (2013), Nr. 4, S. 239–250
HSBI-PUB | DOI
 
[11]
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER ; Schenck, Wolfram ; MÖLLER, RALF: COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX. In: International Journal of Neural Systems Bd. 20, World Scientific Pub Co Pte Lt (2012), Nr. 04, S. 293–318
HSBI-PUB | DOI
 
[10]
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram: Kinematic motor learning. In: Connection Science Bd. 23, Informa UK Limited (2011), Nr. 4, S. 239–283
HSBI-PUB | DOI
 
[9]
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram ; Hoffmann, Heiko ; Möller, Ralf: Grasping of extrafoveal targets: A robotic model. In: New Ideas in Psychology Bd. 29, Elsevier BV (2011), Nr. 3, S. 235–259
HSBI-PUB | DOI
 
[8]
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
HSBI-PUB | DOI
 
[7]
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf ; Schenck, Wolfram: Bootstrapping Cognition from Behavior-A Computerized Thought Experiment. In: Cognitive Science Bd. 32, Wiley (2008), Nr. 3, S. 504–542
HSBI-PUB | DOI
 
[6]
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
HSBI-PUB | DOI
 
[5]
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas ; Röben, Frank ; Schenck, Wolfram ; Möller, Ralf: Spectral contrasts for landmark navigation. In: Journal of the Optical Society of America A Bd. 24, The Optical Society (2007), Nr. 1
HSBI-PUB | DOI
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M. ; Schuch, S. ; Schenck, Wolfram ; Fiedler, K.: Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding. In: Cerebral Cortex Bd. 17, Oxford University Press (OUP) (2007), Nr. 7, S. 1516–1530
HSBI-PUB | DOI
 
[3]
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
HSBI-PUB | DOI
 
[2]
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko ; Schenck, Wolfram ; Möller, Ralf: Learning visuomotor transformations for gaze-control and grasping. In: Biological Cybernetics Bd. 93, Springer Science and Business Media LLC (2005), Nr. 2, S. 119–130
HSBI-PUB | DOI
 
[1]
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
HSBI-PUB | DOI
 
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