PUBLIKATIONSSERVER

Wolfram Schenck

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

66 Publikationen

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[66]
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 | OA
Jaster, Bjarne ; Tharwat, Alaa ; Sheikh, Eiram Mahera ; Kohlhase, Martin ; Schenck, Wolfram: Low Query Budget Active Learning for Classification and Regression. In: Koprinska, I. ; Mendes-Moreira, J. ; Branco, P. (Hrsg.): Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2026, S. 5–21
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[65]
2026 | Artikel | FH-PUB-ID: 6655 | OA
Tharwat, Alaa ; Jaster, Bjarne ; Schenck, Wolfram ; Kohlhase, Martin: Active learning evaluation metrics for classification and regression frameworks. In: Engineering Applications of Artificial Intelligence Bd. 171, Elsevier BV (2026)
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[64]
2026 | Artikel | FH-PUB-ID: 6485 | OA
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: H-NGPCA: Hierarchical clustering of data streams with adaptive number of clusters and adaptive dimensionality. In: PLOS One Bd. 21, Public Library of Science (PLoS) (2026), Nr. 1
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[63]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin ; Migenda, Nico ; Weller, Julian ; Kohlhase, Martin ; Schenck, Wolfram: Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In: Big Data and Cognitive Computing Bd. 9, MDPI AG (2025), Nr. 10
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[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien ; Jalil, Farjana ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. In: . Bielefeld : Institute for Data Science Solutions
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[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana ; Leuering, Julien ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: NNXC: Neural Network Meets Approximate Computing. In: . Bielefeld : Institute for Data Science Solutions, 2025
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[60]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana ; Leuering, Julien ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: 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
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[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian ; Marschner, C. ; Ostrau, Christoph ; Held, S. ; Rickermann, J. ; Schenck, Wolfram ; Uphaus, Andreas ; Amelung, R.: Softwaregestützte Analyse geriatrischer Entlassbriefe. In: Zeitschrift für Gerontologie und Geriatrie, Springer Science and Business Media LLC (2025)
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[58]
2024 | Artikel | FH-PUB-ID: 4913 | OA
Weller, Julian ; Migenda, Nico ; Naik, Yash ; Heuwinkel, Tim ; Kühn, Arno ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. In: Mathematics Bd. 12, MDPI AG (2024), Nr. 17
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[57]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian ; Migenda, Nico ; Liu, Rui ; Wegel, Arthur ; von Enzberg, Sebastian ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In: Niggemann, O. ; Beyerer, J. ; Krantz, M. ; Kühnert, C. (Hrsg.): Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023, Technologien für die intelligente Automation. Bd. 18. Cham : Springer Nature Switzerland, 2024, S. 89–100
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[56]
2024 | Artikel | FH-PUB-ID: 4050 | OA
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)
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[55]
2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, Julien Marteen ; Schenck, Wolfram: Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand, M. ; Malinovská, K. ; Schmidhuber, J. ; Tetko, I. V. (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2024, S. 427–444
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[54]
2024 | Artikel | FH-PUB-ID: 5495
Tharwat, Alaa ; Schenck, Wolfram: Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. In: IEEE Transactions on Knowledge and Data Engineering Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 8, S. 4317–4330
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[53]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian ; Migenda, Nico ; Enzberg, Sebastian von ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. In: Procedia CIRP Bd. 128, Elsevier BV (2024), S. 424–429
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[52]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara ; Alaçam, Özge ; Arlinghaus, Clarissa Sabrina ; Brinkmann, Mona ; Dörksen, Helene ; Hoeken, Sanne ; Jungeblut, Thorsten ; Knaup, Julian ; u. a.: Sustainable Life-Cycle of Intelligent Socio-Technical Systems : Bielefeld University, 2024
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[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain ; Müller, Marcel ; Hübner, Wolfgang ; Ortkrass, Henning ; Hammer, Barbara ; Huser, Thomas ; Schenck, Wolfram: Image restoration in frequency space using complex-valued CNNs. In: Frontiers in Artificial Intelligence Bd. 7, Frontiers Media SA (2024)
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[50]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain ; Müller, Marcel ; Hübner, Wolfgang ; Wang, Tung-Cheng ; Telman, Daniel ; Huser, Thomas ; Schenck, Wolfram: Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. In: GigaScience Bd. 13, Oxford University Press (OUP) (2024)
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[49]
2024 | Artikel | FH-PUB-ID: 5566
Tharwat, Alaa ; Schenck, Wolfram: Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. In: IEEE Transactions on Knowledge and Data Engineering Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 8, S. 4317–4330
HSBI-PUB | DOI
 
[48]
2024 | Artikel | FH-PUB-ID: 5568
Tharwat, Alaa ; Schenck, Wolfram: Active Learning for Handling Missing Data. In: IEEE Transactions on Neural Networks and Learning Systems Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 2, S. 3273–3287
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[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas ; Ostrau, Christoph ; Thies, Michael ; Schenck, Wolfram ; Rückert, Ulrich: Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi, D. ; Van Gorp, P. ; Shah, S. A. (Hrsg.): Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham : Springer Nature Switzerland, 2024, S. 423–437
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[46]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: NGPCA: Clustering of high-dimensional and non-stationary data streams. In: Software Impacts Bd. 20, Elsevier BV (2024)
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[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin ; Migenda, Nico ; Weller, Julian ; Schenck, Wolfram ; Kohlhase, Martin: Technical Readiness of Prescriptive Analytics Platforms: A Survey. In: IEEE (Hrsg.): 2024 35th Conference of Open Innovations Association (FRUCT) : IEEE, 2024, S. 509–519
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[44]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian ; Migenda, Nico ; Wegel, Arthur ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories. In: IEEE (Hrsg.): 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS) : IEEE, 2023, S. 1–7
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[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
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[42]
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
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[41]
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
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[40]
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
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[39]
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
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[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
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[37]
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
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[36]
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
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[35]
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
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[34]
2021 | Artikel | FH-PUB-ID: 1203 | OA
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
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[33]
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)
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[32]
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
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[31]
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
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[30]
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
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[29]
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
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[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)
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[27]
2020 | Diskussionspapier | FH-PUB-ID: 2778
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
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[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
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[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)
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[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
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[23]
2020 | Konferenzbeitrag | 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
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[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
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[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209 | OA
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
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[20]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
van Ooyen, A. ; Butz-Ostendorf, M. ; Schenck, W. (Hrsg.): Anatomy and Plasticity in Large-Scale Brain Models, Frontiers Research Topics : Frontiers Media SA, 2017
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[19]
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)
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[18]
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
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[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
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[16]
2016 | Buchbeitrag | FH-PUB-ID: 1213 | OA
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
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[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. Bd. vol 9945. Cham : Springer International Publishing, 2016, S. 604–615
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[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. Bd. 8966. 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 (2013), Nr. 3, S. 221–238
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[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
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[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
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[10]
2011 | Artikel | FH-PUB-ID: 1219 | OA
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
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[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram: Kinematic motor learning. In: Connection Science Bd. 23, Taylor & Francis (2011), Nr. 4, S. 239–283
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[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. Bd. 5499. Berlin, Heidelberg : Springer, 2009, S. 247–266
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[7]
2008 | Artikel | FH-PUB-ID: 1223 | OA
Möller, Ralf ; Schenck, Wolfram: Bootstrapping Cognition from Behavior-A Computerized Thought Experiment. In: Cognitive Science Bd. 32, Wiley (2008), Nr. 3, S. 504–542
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[6]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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
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[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 of America (2007), Nr. 1, S. 1–10
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[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus ; Schuch, Stefanie ; Schenck, Wolfram ; Fiedler, Klaus: 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
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[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. Bd. 4520. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007, S. 153–169
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[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
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[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
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66 Publikationen

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[66]
2026 | Konferenzbeitrag | FH-PUB-ID: 6898 | OA
Jaster, Bjarne ; Tharwat, Alaa ; Sheikh, Eiram Mahera ; Kohlhase, Martin ; Schenck, Wolfram: Low Query Budget Active Learning for Classification and Regression. In: Koprinska, I. ; Mendes-Moreira, J. ; Branco, P. (Hrsg.): Machine Learning and Principles and Practice of Knowledge Discovery in Databases. International Workshops of ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Revised Selected Papers, Part IV, Communications in Computer and Information Science. Cham : Springer Nature Switzerland, 2026, S. 5–21
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[65]
2026 | Artikel | FH-PUB-ID: 6655 | OA
Tharwat, Alaa ; Jaster, Bjarne ; Schenck, Wolfram ; Kohlhase, Martin: Active learning evaluation metrics for classification and regression frameworks. In: Engineering Applications of Artificial Intelligence Bd. 171, Elsevier BV (2026)
HSBI-PUB | DOI | Download (ext.)
 
[64]
2026 | Artikel | FH-PUB-ID: 6485 | OA
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: H-NGPCA: Hierarchical clustering of data streams with adaptive number of clusters and adaptive dimensionality. In: PLOS One Bd. 21, Public Library of Science (PLoS) (2026), Nr. 1
HSBI-PUB | DOI | Download (ext.)
 
[63]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin ; Migenda, Nico ; Weller, Julian ; Kohlhase, Martin ; Schenck, Wolfram: Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems. In: Big Data and Cognitive Computing Bd. 9, MDPI AG (2025), Nr. 10
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien ; Jalil, Farjana ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. In: . Bielefeld : Institute for Data Science Solutions
HSBI-PUB
 
[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana ; Leuering, Julien ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: NNXC: Neural Network Meets Approximate Computing. In: . Bielefeld : Institute for Data Science Solutions, 2025
HSBI-PUB
 
[60]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana ; Leuering, Julien ; Ahmed, Qazi Arbab ; Schenck, Wolfram ; Jungeblut, Thorsten: 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
HSBI-PUB | DOI
 
[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian ; Marschner, C. ; Ostrau, Christoph ; Held, S. ; Rickermann, J. ; Schenck, Wolfram ; Uphaus, Andreas ; Amelung, R.: Softwaregestützte Analyse geriatrischer Entlassbriefe. In: Zeitschrift für Gerontologie und Geriatrie, Springer Science and Business Media LLC (2025)
HSBI-PUB | DOI | Download (ext.)
 
[58]
2024 | Artikel | FH-PUB-ID: 4913 | OA
Weller, Julian ; Migenda, Nico ; Naik, Yash ; Heuwinkel, Tim ; Kühn, Arno ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories. In: Mathematics Bd. 12, MDPI AG (2024), Nr. 17
HSBI-PUB | DOI | Download (ext.)
 
[57]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian ; Migenda, Nico ; Liu, Rui ; Wegel, Arthur ; von Enzberg, Sebastian ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories. In: Niggemann, O. ; Beyerer, J. ; Krantz, M. ; Kühnert, C. (Hrsg.): Machine Learning for Cyber-Physical Systems. Selected papers from the International Conference ML4CPS 2023, Technologien für die intelligente Automation. Bd. 18. Cham : Springer Nature Switzerland, 2024, S. 89–100
HSBI-PUB | DOI
 
[56]
2024 | Artikel | FH-PUB-ID: 4050 | OA
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 | Download (ext.)
 
[55]
2024 | Konferenzbeitrag | FH-PUB-ID: 5494
Akay, Julien Marteen ; Schenck, Wolfram: Transferability of Non-contrastive Self-supervised Learning to Chronic Wound Image Recognition. In: Wand, M. ; Malinovská, K. ; Schmidhuber, J. ; Tetko, I. V. (Hrsg.): Artificial Neural Networks and Machine Learning – ICANN 2024. 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part VIII, Lecture Notes in Computer Science. Cham : Springer Nature Switzerland, 2024, S. 427–444
HSBI-PUB | DOI
 
[54]
2024 | Artikel | FH-PUB-ID: 5495
Tharwat, Alaa ; Schenck, Wolfram: Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. In: IEEE Transactions on Knowledge and Data Engineering Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 8, S. 4317–4330
HSBI-PUB | DOI
 
[53]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian ; Migenda, Nico ; Enzberg, Sebastian von ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. In: Procedia CIRP Bd. 128, Elsevier BV (2024), S. 424–429
HSBI-PUB | DOI
 
[52]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara ; Alaçam, Özge ; Arlinghaus, Clarissa Sabrina ; Brinkmann, Mona ; Dörksen, Helene ; Hoeken, Sanne ; Jungeblut, Thorsten ; Knaup, Julian ; u. a.: Sustainable Life-Cycle of Intelligent Socio-Technical Systems : Bielefeld University, 2024
HSBI-PUB | DOI
 
[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain ; Müller, Marcel ; Hübner, Wolfgang ; Ortkrass, Henning ; Hammer, Barbara ; Huser, Thomas ; Schenck, Wolfram: Image restoration in frequency space using complex-valued CNNs. In: Frontiers in Artificial Intelligence Bd. 7, Frontiers Media SA (2024)
HSBI-PUB | DOI
 
[50]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain ; Müller, Marcel ; Hübner, Wolfgang ; Wang, Tung-Cheng ; Telman, Daniel ; Huser, Thomas ; Schenck, Wolfram: Evaluation of Swin Transformer and knowledge transfer for denoising of super-resolution structured illumination microscopy data. In: GigaScience Bd. 13, Oxford University Press (OUP) (2024)
HSBI-PUB | DOI | Download (ext.)
 
[49]
2024 | Artikel | FH-PUB-ID: 5566
Tharwat, Alaa ; Schenck, Wolfram: Using Methods From Dimensionality Reduction for Active Learning With Low Query Budget. In: IEEE Transactions on Knowledge and Data Engineering Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 8, S. 4317–4330
HSBI-PUB | DOI
 
[48]
2024 | Artikel | FH-PUB-ID: 5568
Tharwat, Alaa ; Schenck, Wolfram: Active Learning for Handling Missing Data. In: IEEE Transactions on Neural Networks and Learning Systems Bd. 36, Institute of Electrical and Electronics Engineers (IEEE) (2024), Nr. 2, S. 3273–3287
HSBI-PUB | DOI
 
[47]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas ; Ostrau, Christoph ; Thies, Michael ; Schenck, Wolfram ; Rückert, Ulrich: Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data. In: Salvi, D. ; Van Gorp, P. ; Shah, S. A. (Hrsg.): Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Cham : Springer Nature Switzerland, 2024, S. 423–437
HSBI-PUB | DOI
 
[46]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico ; Möller, Ralf ; Schenck, Wolfram: NGPCA: Clustering of high-dimensional and non-stationary data streams. In: Software Impacts Bd. 20, Elsevier BV (2024)
HSBI-PUB | DOI
 
[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin ; Migenda, Nico ; Weller, Julian ; Schenck, Wolfram ; Kohlhase, Martin: Technical Readiness of Prescriptive Analytics Platforms: A Survey. In: IEEE (Hrsg.): 2024 35th Conference of Open Innovations Association (FRUCT) : IEEE, 2024, S. 509–519
HSBI-PUB | DOI
 
[44]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian ; Migenda, Nico ; Wegel, Arthur ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories. In: IEEE (Hrsg.): 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS) : IEEE, 2023, S. 1–7
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: 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.)
 
[41]
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.)
 
[40]
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.)
 
[39]
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
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[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: 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
 
[36]
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
 
[35]
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.)
 
[34]
2021 | Artikel | FH-PUB-ID: 1203 | OA
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 | Download (ext.)
 
[33]
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
 
[32]
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
 
[31]
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
 
[30]
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
 
[29]
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.)
 
[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
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
 
[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 | Konferenzbeitrag | 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 | OA
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 | Download (ext.)
 
[20]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
van Ooyen, A. ; Butz-Ostendorf, M. ; Schenck, W. (Hrsg.): Anatomy and Plasticity in Large-Scale Brain Models, Frontiers Research Topics : Frontiers Media SA, 2017
HSBI-PUB | DOI | Download (ext.)
 
[19]
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)
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[18]
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
 
[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 | Buchbeitrag | FH-PUB-ID: 1213 | OA
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 | Download (ext.)
 
[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. Bd. vol 9945. Cham : Springer International Publishing, 2016, S. 604–615
HSBI-PUB | DOI | Download (ext.)
 
[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. Bd. 8966. 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 (2013), Nr. 3, S. 221–238
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[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 | Download (ext.)
 
[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: 1219 | OA
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 | Download (ext.)
 
[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram: Kinematic motor learning. In: Connection Science Bd. 23, Taylor & Francis (2011), Nr. 4, S. 239–283
HSBI-PUB | DOI | Download (ext.)
 
[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. Bd. 5499. Berlin, Heidelberg : Springer, 2009, S. 247–266
HSBI-PUB | DOI | Download (ext.)
 
[7]
2008 | Artikel | FH-PUB-ID: 1223 | OA
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 | Download (ext.)
 
[6]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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
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[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 of America (2007), Nr. 1, S. 1–10
HSBI-PUB | DOI | Download (ext.)
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus ; Schuch, Stefanie ; Schenck, Wolfram ; Fiedler, Klaus: 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 | Download (ext.)
 
[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. Bd. 4520. Berlin, Heidelberg : Springer Berlin Heidelberg, 2007, S. 153–169
HSBI-PUB | DOI | Download (ext.)
 
[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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