PUBLIKATIONSSERVER

Wolfram Schenck

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

63 Publikationen

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[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “NNXC: Neural Network Meets Approximate Computing.” Bielefeld: Institute for Data Science Solutions, 2025.
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[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
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[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, Farjana Jalil, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements.” Bielefeld: Institute for Data Science Solutions, n.d.
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[60]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
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[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian, C. Marschner, Christoph Ostrau, S. Held, J. Rickermann, Wolfram Schenck, Andreas Uphaus, and R. Amelung. “Softwaregestützte Analyse geriatrischer Entlassbriefe.” Zeitschrift für Gerontologie und Geriatrie, 2025. https://doi.org/10.1007/s00391-025-02478-6.
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[58]
2024 | Artikel | FH-PUB-ID: 5568
Tharwat, Alaa, and Wolfram Schenck. “Active Learning for Handling Missing Data.” IEEE Transactions on Neural Networks and Learning Systems 36, no. 2 (2024): 3273–87. https://doi.org/10.1109/TNNLS.2024.3352279.
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[57]
2024 | Artikel | FH-PUB-ID: 5566
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
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[56]
2024 | Artikel | FH-PUB-ID: 5495
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
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[55]
2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” In Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 427–44. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72353-7_31.
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[54]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP 128 (2024): 424–29. https://doi.org/10.1016/j.procir.2024.03.022.
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[53]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, Özge Alaçam, Clarissa Sabrina Arlinghaus, Mona Brinkmann, Helene Dörksen, Sanne Hoeken, Thorsten Jungeblut, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024. https://doi.org/10.4119/UNIBI/2992602.
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[52]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain, Marcel Müller, Wolfgang Hübner, Tung-Cheng Wang, Daniel Telman, Thomas Huser, and Wolfram Schenck. “Evaluation of Swin Transformer and Knowledge Transfer for Denoising of Super-Resolution Structured Illumination Microscopy Data.” GigaScience 13 (2024). https://doi.org/10.1093/gigascience/giad109.
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[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain, Marcel Müller, Wolfgang Hübner, Henning Ortkrass, Barbara Hammer, Thomas Huser, and Wolfram Schenck. “Image Restoration in Frequency Space Using Complex-Valued CNNs.” Frontiers in Artificial Intelligence 7 (2024). https://doi.org/10.3389/frai.2024.1353873.
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[50]
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.
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[49]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts 20 (2024). https://doi.org/10.1016/j.simpa.2024.100635.
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[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, Nico Migenda, Julian Weller, Wolfram Schenck, and Martin Kohlhase. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” In 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, 509–19. IEEE, 2024. https://doi.org/10.23919/FRUCT61870.2024.10516367.
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[47]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, Nico Migenda, Rui Liu, Arthur Wegel, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” In Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert, 18:89–100. Technologien Für Die Intelligente Automation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-47062-2_9.
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[46]
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics 12, no. 17 (2024). https://doi.org/10.3390/math12172663.
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[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, Christoph Ostrau, Michael Thies, Wolfram Schenck, and Ulrich Rückert. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” In Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi, Pieter Van Gorp, and Syed Ahmar Shah, 423–37. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59717-6_27.
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[44]
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.
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[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, Nico Migenda, Arthur Wegel, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” In 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, 1–7. IEEE, 2023. https://doi.org/10.1109/ADACIS59737.2023.10424368.
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[42]
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.
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[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.
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[40]
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.
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[39]
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.)
 
[38]
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.
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[37]
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.
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[36]
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.
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[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.
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[34]
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.
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[33]
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.
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[32]
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.
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[31]
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.
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[30]
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.
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[29]
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.
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[28]
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.
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[27]
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.
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[26]
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.
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[25]
2020 | Konferenzbeitrag | 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.
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[24]
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.)
 
[23]
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.
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[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.
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[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209 | OA
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.
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[20]
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.
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[19]
2017 | Artikel | FH-PUB-ID: 1210 | OA
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.
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[18]
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.
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[17]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
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.
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[16]
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, vol 9945:604–15. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-46079-6_41.
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[15]
2016 | Artikel | FH-PUB-ID: 1213 | OA
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.
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[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, 8966:24–45. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2015. https://doi.org/10.1007/978-3-319-17248-4_2.
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[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.
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[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.
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[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.
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[10]
2011 | Artikel | FH-PUB-ID: 1219 | OA
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.
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[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science 23, no. 4 (2011): 239–83. https://doi.org/10.1080/09540091.2011.625077.
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[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, 5499:247–66. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 2009. https://doi.org/10.1007/978-3-642-02565-5_14.
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[7]
2008 | Artikel | FH-PUB-ID: 1223 | OA
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.
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[6]
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): 1–10. https://doi.org/10.1364/JOSAA.24.000001.
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[5]
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, 4520:153–69. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. https://doi.org/10.1007/978-3-540-74262-3_9.
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[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus, Stefanie Schuch, Wolfram Schenck, and Klaus 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.
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[3]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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.
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[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.
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[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.
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[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “NNXC: Neural Network Meets Approximate Computing.” Bielefeld: Institute for Data Science Solutions, 2025.
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[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, Julien Leuering, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” In Workshop on AI and Its Applications. Bielefeld: Institute for Data Science Solutions, 2025. https://doi.org/10.60802/sidas.2025.2.
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[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, Farjana Jalil, Qazi Arbab Ahmed, Wolfram Schenck, and Thorsten Jungeblut. “Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements.” Bielefeld: Institute for Data Science Solutions, n.d.
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[60]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin, Nico Migenda, Julian Weller, Martin Kohlhase, and Wolfram Schenck. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing 9, no. 10 (2025). https://doi.org/10.3390/bdcc9100261.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian, C. Marschner, Christoph Ostrau, S. Held, J. Rickermann, Wolfram Schenck, Andreas Uphaus, and R. Amelung. “Softwaregestützte Analyse geriatrischer Entlassbriefe.” Zeitschrift für Gerontologie und Geriatrie, 2025. https://doi.org/10.1007/s00391-025-02478-6.
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[58]
2024 | Artikel | FH-PUB-ID: 5568
Tharwat, Alaa, and Wolfram Schenck. “Active Learning for Handling Missing Data.” IEEE Transactions on Neural Networks and Learning Systems 36, no. 2 (2024): 3273–87. https://doi.org/10.1109/TNNLS.2024.3352279.
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[57]
2024 | Artikel | FH-PUB-ID: 5566
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
HSBI-PUB | DOI
 
[56]
2024 | Artikel | FH-PUB-ID: 5495
Tharwat, Alaa, and Wolfram Schenck. “Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget.” IEEE Transactions on Knowledge and Data Engineering 36, no. 8 (2024): 4317–30. https://doi.org/10.1109/TKDE.2024.3365189.
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[55]
2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, Julien Marteen, and Wolfram Schenck. “Transferability of Non-Contrastive Self-Supervised Learning to Chronic Wound Image Recognition.” In Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, and Igor V. Tetko, 427–44. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-72353-7_31.
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[54]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP 128 (2024): 424–29. https://doi.org/10.1016/j.procir.2024.03.022.
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[53]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, Özge Alaçam, Clarissa Sabrina Arlinghaus, Mona Brinkmann, Helene Dörksen, Sanne Hoeken, Thorsten Jungeblut, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024. https://doi.org/10.4119/UNIBI/2992602.
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[52]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain, Marcel Müller, Wolfgang Hübner, Tung-Cheng Wang, Daniel Telman, Thomas Huser, and Wolfram Schenck. “Evaluation of Swin Transformer and Knowledge Transfer for Denoising of Super-Resolution Structured Illumination Microscopy Data.” GigaScience 13 (2024). https://doi.org/10.1093/gigascience/giad109.
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[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain, Marcel Müller, Wolfgang Hübner, Henning Ortkrass, Barbara Hammer, Thomas Huser, and Wolfram Schenck. “Image Restoration in Frequency Space Using Complex-Valued CNNs.” Frontiers in Artificial Intelligence 7 (2024). https://doi.org/10.3389/frai.2024.1353873.
HSBI-PUB | DOI
 
[50]
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
 
[49]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, Ralf Möller, and Wolfram Schenck. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts 20 (2024). https://doi.org/10.1016/j.simpa.2024.100635.
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[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, Nico Migenda, Julian Weller, Wolfram Schenck, and Martin Kohlhase. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” In 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, 509–19. IEEE, 2024. https://doi.org/10.23919/FRUCT61870.2024.10516367.
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[47]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, Nico Migenda, Rui Liu, Arthur Wegel, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” In Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann, Jürgen Beyerer, Maria Krantz, and Christian Kühnert, 18:89–100. Technologien Für Die Intelligente Automation. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-47062-2_9.
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[46]
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, Nico Migenda, Yash Naik, Tim Heuwinkel, Arno Kühn, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics 12, no. 17 (2024). https://doi.org/10.3390/math12172663.
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[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, Christoph Ostrau, Michael Thies, Wolfram Schenck, and Ulrich Rückert. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” In Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi, Pieter Van Gorp, and Syed Ahmar Shah, 423–37. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-59717-6_27.
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[44]
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.
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[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, Nico Migenda, Arthur Wegel, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” In 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, 1–7. IEEE, 2023. https://doi.org/10.1109/ADACIS59737.2023.10424368.
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[42]
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.
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[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.
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[40]
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.
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[39]
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.)
 
[38]
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
 
[37]
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.
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[36]
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.
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[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.
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[34]
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.
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[33]
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.
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[32]
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.
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[31]
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.
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[30]
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
 
[29]
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
 
[28]
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
 
[27]
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
 
[26]
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
 
[25]
2020 | Konferenzbeitrag | 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
 
[24]
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.
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[23]
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
 
[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.
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[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209 | OA
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.
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[20]
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
 
[19]
2017 | Artikel | FH-PUB-ID: 1210 | OA
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.
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[18]
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
 
[17]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
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.
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[16]
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, vol 9945:604–15. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2016. https://doi.org/10.1007/978-3-319-46079-6_41.
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[15]
2016 | Artikel | FH-PUB-ID: 1213 | OA
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.
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[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, 8966:24–45. 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 | Download (ext.)
 
[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 | Download (ext.)
 
[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: 1219 | OA
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.
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[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science 23, no. 4 (2011): 239–83. https://doi.org/10.1080/09540091.2011.625077.
HSBI-PUB | DOI | Download (ext.)
 
[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, 5499:247–66. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 2009. https://doi.org/10.1007/978-3-642-02565-5_14.
HSBI-PUB | DOI | Download (ext.)
 
[7]
2008 | Artikel | FH-PUB-ID: 1223 | OA
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 | Download (ext.)
 
[6]
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): 1–10. https://doi.org/10.1364/JOSAA.24.000001.
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[5]
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, 4520:153–69. 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 | Download (ext.)
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus, Stefanie Schuch, Wolfram Schenck, and Klaus 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.
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[3]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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.
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[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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