PUBLIKATIONSSERVER

Wolfram Schenck

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

44 Publikationen

Alle markieren

[44]
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition 146 (2024). https://doi.org/10.1016/j.patcog.2023.110030.
HSBI-PUB | DOI
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze, and Wolfram Schenck. “Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.” In 2023 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE, 2023. https://doi.org/10.1109/IJCNN54540.2023.10191465.
HSBI-PUB | DOI
 
[42]
2023 | Artikel | FH-PUB-ID: 2774 | OA
Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” Mathematics 11, no. 4 (2023). https://doi.org/10.3390/math11040820.
HSBI-PUB | DOI | Download (ext.)
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, Nils, Malte Mechtenberg, Wolfram Schenck, Hanno Gerd Meyer, and Axel Schneider. “SEMG-Based Prediction of Human Forearm Movements Utilizing a Biomechanical Model Based on Individual Anatomical/ Physiological Measures and a Reduced Set of Optimization Parameters.” PLOS ONE 18, no. 8 (2023). https://doi.org/10.1371/journal.pone.0289549.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2022 | Artikel | FH-PUB-ID: 1799 | OA
Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[39]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain, Marcel Muller, Barbara Hammer, Thomas Huser, and Wolfram Schenck. “Impact of Different Loss Functions on Denoising of Microscopic Images.” In 2022 International Joint Conference on Neural Networks (IJCNN), 1–10. IEEE, 2022. https://doi.org/10.1109/IJCNN55064.2022.9892936.
HSBI-PUB | DOI
 
[38]
2022 | Artikel | FH-PUB-ID: 2944 | OA
Zai El Amri, Wadhah, Felix Reinhart, and Wolfram Schenck. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” Neural Computing and Applications 34, no. 8 (2022): 6067–83. https://doi.org/10.1007/s00521-021-06753-6.
HSBI-PUB | DOI | Download (ext.)
 
[37]
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 | OA
Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” In Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, edited by Jürgen Jasperneite and Volker Lohweg, 291–303. Technologien für die intelligente Automation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. https://doi.org/10.1007/978-3-662-64283-2_21.
HSBI-PUB | DOI | Download (ext.)
 
[36]
2022 | Artikel | FH-PUB-ID: 2775 | OA
Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” Mathematics 10, no. 7 (2022). https://doi.org/10.3390/math10071068.
HSBI-PUB | DOI | Download (ext.)
 
[35]
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, Nico Migenda, David Pelkmann, Daniel Antonius Hötte, and Wolfram Schenck. “Collaborative System for Question Answering in German Case Law Documents.” In Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, and A. Luís Osório, 303–12. IFIP Advances in Information and Communication Technology. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14844-6_24.
HSBI-PUB | DOI
 
[34]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, David Pelkmann, Nico Migenda, Daniel Antonius Hotte, and Wolfram Schenck. “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), 29–32. IEEE, 2021. https://doi.org/10.1109/AIKE52691.2021.00011.
HSBI-PUB | DOI
 
[32]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[30]
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.
HSBI-PUB | DOI
 
[29]
2021 | Artikel | FH-PUB-ID: 2777
Tharwat, Alaa, and Wolfram Schenck. “Population Initialization Techniques for Evolutionary Algorithms for Single-Objective Constrained Optimization Problems: Deterministic vs. Stochastic Techniques.” Swarm and Evolutionary Computation 67 (2021). https://doi.org/10.1016/j.swevo.2021.100952.
HSBI-PUB | DOI
 
[28]
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.
HSBI-PUB | DOI
 
[27]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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. Cold Spring Harbor Laboratory, 2020. https://doi.org/10.1101/2020.10.27.352633.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
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.
HSBI-PUB | DOI
 
[25]
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.
HSBI-PUB | DOI
 
[24]
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.
HSBI-PUB | DOI
 
[23]
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.
HSBI-PUB | DOI
 
[22]
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.
HSBI-PUB | DOI
 
[21]
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.
HSBI-PUB | DOI
 
[20]
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.
HSBI-PUB | DOI
 
[19]
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.
HSBI-PUB | DOI
 
[18]
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.
HSBI-PUB | DOI
 
[17]
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.
HSBI-PUB | DOI
 
[16]
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.
HSBI-PUB | DOI
 
[15]
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.
HSBI-PUB | DOI
 
[14]
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.
HSBI-PUB | DOI
 
[13]
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.
HSBI-PUB | DOI
 
[12]
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.
HSBI-PUB | DOI
 
[11]
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.
HSBI-PUB | DOI
 
[10]
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.
HSBI-PUB | DOI
 
[9]
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.
HSBI-PUB | DOI
 
[8]
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.
HSBI-PUB | DOI
 
[7]
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.
HSBI-PUB | DOI
 
[6]
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.
HSBI-PUB | DOI
 
[5]
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.
HSBI-PUB | DOI
 
[4]
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.
HSBI-PUB | DOI
 
[3]
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.
HSBI-PUB | DOI
 
[2]
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.
HSBI-PUB | DOI
 
[1]
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.
HSBI-PUB | DOI
 
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44 Publikationen

Alle markieren

[44]
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition 146 (2024). https://doi.org/10.1016/j.patcog.2023.110030.
HSBI-PUB | DOI
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze, and Wolfram Schenck. “Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.” In 2023 International Joint Conference on Neural Networks (IJCNN), 1–8. IEEE, 2023. https://doi.org/10.1109/IJCNN54540.2023.10191465.
HSBI-PUB | DOI
 
[42]
2023 | Artikel | FH-PUB-ID: 2774 | OA
Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” Mathematics 11, no. 4 (2023). https://doi.org/10.3390/math11040820.
HSBI-PUB | DOI | Download (ext.)
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
Grimmelsmann, Nils, Malte Mechtenberg, Wolfram Schenck, Hanno Gerd Meyer, and Axel Schneider. “SEMG-Based Prediction of Human Forearm Movements Utilizing a Biomechanical Model Based on Individual Anatomical/ Physiological Measures and a Reduced Set of Optimization Parameters.” PLOS ONE 18, no. 8 (2023). https://doi.org/10.1371/journal.pone.0289549.
HSBI-PUB | DOI | Download (ext.)
 
[40]
2022 | Artikel | FH-PUB-ID: 1799 | OA
Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors 22, no. 7 (2022). https://doi.org/10.3390/s22072481.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[39]
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain, Marcel Muller, Barbara Hammer, Thomas Huser, and Wolfram Schenck. “Impact of Different Loss Functions on Denoising of Microscopic Images.” In 2022 International Joint Conference on Neural Networks (IJCNN), 1–10. IEEE, 2022. https://doi.org/10.1109/IJCNN55064.2022.9892936.
HSBI-PUB | DOI
 
[38]
2022 | Artikel | FH-PUB-ID: 2944 | OA
Zai El Amri, Wadhah, Felix Reinhart, and Wolfram Schenck. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” Neural Computing and Applications 34, no. 8 (2022): 6067–83. https://doi.org/10.1007/s00521-021-06753-6.
HSBI-PUB | DOI | Download (ext.)
 
[37]
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 | OA
Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” In Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, edited by Jürgen Jasperneite and Volker Lohweg, 291–303. Technologien für die intelligente Automation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. https://doi.org/10.1007/978-3-662-64283-2_21.
HSBI-PUB | DOI | Download (ext.)
 
[36]
2022 | Artikel | FH-PUB-ID: 2775 | OA
Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” Mathematics 10, no. 7 (2022). https://doi.org/10.3390/math10071068.
HSBI-PUB | DOI | Download (ext.)
 
[35]
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, Nico Migenda, David Pelkmann, Daniel Antonius Hötte, and Wolfram Schenck. “Collaborative System for Question Answering in German Case Law Documents.” In Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos, Angel Ortiz, Xavier Boucher, and A. Luís Osório, 303–12. IFIP Advances in Information and Communication Technology. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14844-6_24.
HSBI-PUB | DOI
 
[34]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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.
HSBI-PUB | DOI | Download (ext.)
 
[33]
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, David Pelkmann, Nico Migenda, Daniel Antonius Hotte, and Wolfram Schenck. “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), 29–32. IEEE, 2021. https://doi.org/10.1109/AIKE52691.2021.00011.
HSBI-PUB | DOI
 
[32]
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, Nico Migenda, Marvin Schöne, David Pelkmann, Matthias Fricke, Wolfram Schenck, and Martin Kohlhase. “Advanced Data Analytics Platform for Manufacturing Companies.” In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 01–08. IEEE, 2021. https://doi.org/10.1109/ETFA45728.2021.9613499.
HSBI-PUB | DOI
 
[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, Nico Migenda, Tim Voigt, Martin Kohlhase, and Wolfram Schenck. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” In 2021 3rd International Conference on Management Science and Industrial Engineering, 1–7. New York, NY, USA: ACM, 2021. https://doi.org/10.1145/3460824.3460825.
HSBI-PUB | DOI
 
[30]
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.
HSBI-PUB | DOI
 
[29]
2021 | Artikel | FH-PUB-ID: 2777
Tharwat, Alaa, and Wolfram Schenck. “Population Initialization Techniques for Evolutionary Algorithms for Single-Objective Constrained Optimization Problems: Deterministic vs. Stochastic Techniques.” Swarm and Evolutionary Computation 67 (2021). https://doi.org/10.1016/j.swevo.2021.100952.
HSBI-PUB | DOI
 
[28]
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.
HSBI-PUB | DOI
 
[27]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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. Cold Spring Harbor Laboratory, 2020. https://doi.org/10.1101/2020.10.27.352633.
HSBI-PUB | DOI | Download (ext.)
 
[26]
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
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.
HSBI-PUB | DOI
 
[25]
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.
HSBI-PUB | DOI
 
[24]
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.
HSBI-PUB | DOI
 
[23]
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.
HSBI-PUB | DOI
 
[22]
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.
HSBI-PUB | DOI
 
[21]
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.
HSBI-PUB | DOI
 
[20]
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.
HSBI-PUB | DOI
 
[19]
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.
HSBI-PUB | DOI
 
[18]
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.
HSBI-PUB | DOI
 
[17]
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.
HSBI-PUB | DOI
 
[16]
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.
HSBI-PUB | DOI
 
[15]
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.
HSBI-PUB | DOI
 
[14]
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.
HSBI-PUB | DOI
 
[13]
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.
HSBI-PUB | DOI
 
[12]
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.
HSBI-PUB | DOI
 
[11]
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.
HSBI-PUB | DOI
 
[10]
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.
HSBI-PUB | DOI
 
[9]
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.
HSBI-PUB | DOI
 
[8]
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.
HSBI-PUB | DOI
 
[7]
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.
HSBI-PUB | DOI
 
[6]
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.
HSBI-PUB | DOI
 
[5]
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.
HSBI-PUB | DOI
 
[4]
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.
HSBI-PUB | DOI
 
[3]
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.
HSBI-PUB | DOI
 
[2]
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.
HSBI-PUB | DOI
 
[1]
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.
HSBI-PUB | DOI
 
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