44 Publikationen
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, et al. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition, vol. 146, 110030, Elsevier BV, 2024, doi:10.1016/j.patcog.2023.110030.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze, and Wolfram Schenck. “Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.” 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, 2023, pp. 1–8, doi:10.1109/IJCNN54540.2023.10191465.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 2774 |
Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” Mathematics, vol. 11, no. 4, 820, MDPI AG, 2023, doi:10.3390/math11040820.
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| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3453 |
Grimmelsmann, Nils, et al. “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, vol. 18, no. 8, e0289549, Public Library of Science (PLoS), 2023, doi:10.1371/journal.pone.0289549.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 1799 |
Vandevoorde, Koenraad, et al. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors, vol. 22, no. 7, 2481, MDPI AG, 2022, doi:10.3390/s22072481.
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| Dateien verfügbar
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain, et al. “Impact of Different Loss Functions on Denoising of Microscopic Images.” 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–10, doi:10.1109/IJCNN55064.2022.9892936.
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 2944 |
Zai El Amri, Wadhah, et al. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” Neural Computing and Applications, vol. 34, no. 8, Springer Science and Business Media LLC, 2022, pp. 6067–83, doi:10.1007/s00521-021-06753-6.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 |
Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, edited by Jürgen Jasperneite and Volker Lohweg, Springer Berlin Heidelberg, 2022, pp. 291–303, doi:10.1007/978-3-662-64283-2_21.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2775 |
Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” Mathematics, vol. 10, no. 7, 1068, MDPI AG, 2022, doi:10.3390/math10071068.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, et al. “Collaborative System for Question Answering in German Case Law Documents.” Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos et al., Springer International Publishing, 2022, pp. 303–12, doi:10.1007/978-3-031-14844-6_24.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1201 |
Shah, Zafran Hussain, et al. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” Photonics Research, vol. 9, no. 5, B168, The Optical Society, 2021, doi:10.1364/PRJ.416437.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, et al. “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.” 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32, doi:10.1109/AIKE52691.2021.00011.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 1–7, doi:10.1145/3460824.3460825.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, et al. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE, vol. 16, no. 3, e0248896, Public Library of Science (PLoS), 2021, doi:10.1371/journal.pone.0248896.
HSBI-PUB
| DOI
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, vol. 67, 100952, Elsevier BV, 2021, doi:10.1016/j.swevo.2021.100952.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa, and Wolfram Schenck. “A Conceptual and Practical Comparison of PSO-Style Optimization Algorithms.” Expert Systems with Applications, vol. 167, 114430, Elsevier BV, 2021, doi:10.1016/j.eswa.2020.114430.
HSBI-PUB
| DOI
2020 | Diskussionspapier | FH-PUB-ID: 2778 |
Shah, Zafran Hussain, et al. Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images. Cold Spring Harbor Laboratory, 2020, doi:https://doi.org/10.1101/2020.10.27.352633.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–86, doi:10.1109/ETFA46521.2020.9212129.
HSBI-PUB
| DOI
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, vol. 210, 106500, Elsevier BV, 2020, doi:10.1016/j.knosys.2020.106500.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David, et al. “How to Label? Combining Experts’ Knowledge for German Text Classification.” 2020 7th Swiss Conference on Data Science (SDS), IEEE, 2020, pp. 61–62, doi:10.1109/SDS49233.2020.00023.
HSBI-PUB
| DOI
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze, and Wolfram Schenck. “Visual Movement Prediction for Stable Grasp Point Detection.” Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, edited by Lazaros Iliadis et al., Springer International Publishing, 2020, pp. 70–81, doi:10.1007/978-3-030-48791-1_5.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, et al. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin et al., Springer International Publishing, 2019, pp. 76–84, doi:10.1007/978-3-030-33607-3_9.
HSBI-PUB
| DOI
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, Springer International Publishing, 2018, pp. 398–406, doi:10.1007/978-3-319-94295-7_28.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram, et al. “Evaluation and Performance Modeling of a Burst Buffer Solution.” ACM SIGOPS Operating Systems Review, vol. 50, no. 2, Association for Computing Machinery (ACM), 2017, pp. 12–26, doi:10.1145/3041710.3041714.
HSBI-PUB
| DOI
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, Markus, et al., editors. Anatomy and Plasticity in Large-Scale Brain Models. Frontiers Media SA, 2017, doi:10.3389/978-2-88945-065-7.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram, et al. “Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation.” Concurrency and Computation: Practice and Experience, vol. 29, no. 4, e3833, Wiley, 2017, doi:10.1002/cpe.3833.
HSBI-PUB
| DOI
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus, et al. “Editorial: Anatomy and Plasticity in Large-Scale Brain Models.” Frontiers in Neuroanatomy, vol. 10, Frontiers Media SA, 2016, doi:10.3389/fnana.2016.00108.
HSBI-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram, et al. “Early Evaluation of the ‘Infinite Memory Engine’ Burst Buffer Solution.” High Performance Computing, edited by Michela Taufer et al., Springer International Publishing, 2016, pp. 604–15, doi:10.1007/978-3-319-46079-6_41.
HSBI-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V., et al. “Performance Evaluation of Scientific Applications on POWER8.” High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, edited by Stephen A. Jarvis et al., Springer International Publishing, 2015, pp. 24–45, doi:10.1007/978-3-319-17248-4_2.
HSBI-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.” New Ideas in Psychology, vol. 31, no. 3, Elsevier BV, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
HSBI-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander, et al. “Solving the Correspondence Problem in Stereo Vision by Internal Simulation.” Adaptive Behavior, vol. 21, no. 4, SAGE Publications, 2013, pp. 239–50, doi:10.1177/1059712313488425.
HSBI-PUB
| DOI
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER, et al. “COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX.” International Journal of Neural Systems, vol. 20, no. 04, World Scientific Pub Co Pte Lt, 2012, pp. 293–318, doi:10.1142/S0129065710002437.
HSBI-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science, vol. 23, no. 4, Informa UK Limited, 2011, pp. 239–83, doi:10.1080/09540091.2011.625077.
HSBI-PUB
| DOI
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram, et al. “Grasping of Extrafoveal Targets: A Robotic Model.” New Ideas in Psychology, vol. 29, no. 3, Elsevier BV, 2011, pp. 235–59, doi:10.1016/j.newideapsych.2009.07.005.
HSBI-PUB
| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram. “Space Perception through Visuokinesthetic Prediction.” Anticipatory Behavior in Adaptive Learning Systems, edited by Giovanni Pezzulo et al., Springer Berlin Heidelberg, 2009, pp. 247–66, doi:10.1007/978-3-642-02565-5_14.
HSBI-PUB
| DOI
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf, and Wolfram Schenck. “Bootstrapping Cognition from Behavior-A Computerized Thought Experiment.” Cognitive Science, vol. 32, no. 3, Wiley, 2008, pp. 504–42, doi:10.1080/03640210802035241.
HSBI-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus, et al. “Emotion and Memory: Event-Related Potential Indices Predictive for Subsequent Successful Memory Depend on the Emotional Mood State.” Advances in Cognitive Psychology, vol. 3, no. 3, University of Economics and Human Sciences in Warsaw, 2007, pp. 363–73, doi:10.2478/v10053-008-0001-8.
HSBI-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas, et al. “Spectral Contrasts for Landmark Navigation.” Journal of the Optical Society of America A, vol. 24, no. 1, 1, The Optical Society, 2007, doi:10.1364/JOSAA.24.000001.
HSBI-PUB
| DOI
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M., et al. “Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding.” Cerebral Cortex, vol. 17, no. 7, Oxford University Press (OUP), 2007, pp. 1516–30, doi:10.1093/cercor/bhl062.
HSBI-PUB
| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz et al., Springer Berlin Heidelberg, 2007, pp. 153–69, doi:10.1007/978-3-540-74262-3_9.
HSBI-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko, et al. “Learning Visuomotor Transformations for Gaze-Control and Grasping.” Biological Cybernetics, vol. 93, no. 2, Springer Science and Business Media LLC, 2005, pp. 119–30, doi:10.1007/s00422-005-0575-x.
HSBI-PUB
| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus, et al. “Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets.” Journal of Personality and Social Psychology, vol. 88, no. 2, American Psychological Association (APA), 2005, pp. 229–44, doi:10.1037/0022-3514.88.2.229.
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44 Publikationen
2024 | Artikel | FH-PUB-ID: 4050
Migenda, Nico, et al. “Adaptive Local Principal Component Analysis Improves the Clustering of High-Dimensional Data.” Pattern Recognition, vol. 146, 110030, Elsevier BV, 2024, doi:10.1016/j.patcog.2023.110030.
HSBI-PUB
| DOI
2023 | Konferenzbeitrag | FH-PUB-ID: 4293
Schwan, Constanze, and Wolfram Schenck. “Object View Prediction with Aleatoric Uncertainty for Robotic Grasping.” 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, 2023, pp. 1–8, doi:10.1109/IJCNN54540.2023.10191465.
HSBI-PUB
| DOI
2023 | Artikel | FH-PUB-ID: 2774 |
Tharwat, Alaa, and Wolfram Schenck. “A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions.” Mathematics, vol. 11, no. 4, 820, MDPI AG, 2023, doi:10.3390/math11040820.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 3453 |
Grimmelsmann, Nils, et al. “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, vol. 18, no. 8, e0289549, Public Library of Science (PLoS), 2023, doi:10.1371/journal.pone.0289549.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 1799 |
Vandevoorde, Koenraad, et al. “Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.” Sensors, vol. 22, no. 7, 2481, MDPI AG, 2022, doi:10.3390/s22072481.
HSBI-PUB
| Dateien verfügbar
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2945
Shah, Zafran Hussain, et al. “Impact of Different Loss Functions on Denoising of Microscopic Images.” 2022 International Joint Conference on Neural Networks (IJCNN), IEEE, 2022, pp. 1–10, doi:10.1109/IJCNN55064.2022.9892936.
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 2944 |
Zai El Amri, Wadhah, et al. “Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets.” Neural Computing and Applications, vol. 34, no. 8, Springer Science and Business Media LLC, 2022, pp. 6067–83, doi:10.1007/s00521-021-06753-6.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2776 |
Schwan, Constanze, and Wolfram Schenck. “Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking.” Kommunikation und Bildverarbeitung in der Automation. Ausgewählte Beiträge der Jahreskolloquien KommA und BVAu 2020, edited by Jürgen Jasperneite and Volker Lohweg, Springer Berlin Heidelberg, 2022, pp. 291–303, doi:10.1007/978-3-662-64283-2_21.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 2775 |
Tharwat, Alaa, and Wolfram Schenck. “A Novel Low-Query-Budget Active Learner with Pseudo-Labels for Imbalanced Data.” Mathematics, vol. 10, no. 7, 1068, MDPI AG, 2022, doi:10.3390/math10071068.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 2569
Hoppe, Christoph, et al. “Collaborative System for Question Answering in German Case Law Documents.” Collaborative Networks in Digitalization and Society 5.0, edited by Luis M. Camarinha-Matos et al., Springer International Publishing, 2022, pp. 303–12, doi:10.1007/978-3-031-14844-6_24.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1201 |
Shah, Zafran Hussain, et al. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” Photonics Research, vol. 9, no. 5, B168, The Optical Society, 2021, doi:10.1364/PRJ.416437.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 2570
Hoppe, Christoph, et al. “Towards Intelligent Legal Advisors for Document Retrieval and Question-Answering in German Legal Documents.” 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), IEEE, 2021, pp. 29–32, doi:10.1109/AIKE52691.2021.00011.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2571
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), IEEE, 2021, pp. 01–08, doi:10.1109/ETFA45728.2021.9613499.
HSBI-PUB
| DOI
2021 | Konferenzbeitrag | FH-PUB-ID: 2572
Steinmann, Luca, et al. “Variational Autoencoder Based Novelty Detection for Real-World Time Series.” 2021 3rd International Conference on Management Science and Industrial Engineering, ACM, 2021, pp. 1–7, doi:10.1145/3460824.3460825.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1203
Migenda, Nico, et al. “Adaptive Dimensionality Reduction for Neural Network-Based Online Principal Component Analysis.” PLOS ONE, vol. 16, no. 3, e0248896, Public Library of Science (PLoS), 2021, doi:10.1371/journal.pone.0248896.
HSBI-PUB
| DOI
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, vol. 67, 100952, Elsevier BV, 2021, doi:10.1016/j.swevo.2021.100952.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 1202
Tharwat, Alaa, and Wolfram Schenck. “A Conceptual and Practical Comparison of PSO-Style Optimization Algorithms.” Expert Systems with Applications, vol. 167, 114430, Elsevier BV, 2021, doi:10.1016/j.eswa.2020.114430.
HSBI-PUB
| DOI
2020 | Diskussionspapier | FH-PUB-ID: 2778 |
Shah, Zafran Hussain, et al. Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images. Cold Spring Harbor Laboratory, 2020, doi:https://doi.org/10.1101/2020.10.27.352633.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Konferenzbeitrag | FH-PUB-ID: 2574
Migenda, Nico, and Wolfram Schenck. “Adaptive Dimensionality Reduction for Local Principal Component Analysis.” 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020, pp. 1579–86, doi:10.1109/ETFA46521.2020.9212129.
HSBI-PUB
| DOI
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, vol. 210, 106500, Elsevier BV, 2020, doi:10.1016/j.knosys.2020.106500.
HSBI-PUB
| DOI
2020 | Konferenzbeitrag | FH-PUB-ID: 1206
Pelkmann, David, et al. “How to Label? Combining Experts’ Knowledge for German Text Classification.” 2020 7th Swiss Conference on Data Science (SDS), IEEE, 2020, pp. 61–62, doi:10.1109/SDS49233.2020.00023.
HSBI-PUB
| DOI
2020 | Buchbeitrag | FH-PUB-ID: 1207
Schwan, Constanze, and Wolfram Schenck. “Visual Movement Prediction for Stable Grasp Point Detection.” Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the EANN 2020, edited by Lazaros Iliadis et al., Springer International Publishing, 2020, pp. 70–81, doi:10.1007/978-3-030-48791-1_5.
HSBI-PUB
| DOI
2019 | Buchbeitrag | FH-PUB-ID: 1208
Migenda, Nico, et al. “Adaptive Dimensionality Adjustment for Online ‘Principal Component Analysis.’” Intelligent Data Engineering and Automated Learning – IDEAL 2019. 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I, edited by Hujun Yin et al., Springer International Publishing, 2019, pp. 76–84, doi:10.1007/978-3-030-33607-3_9.
HSBI-PUB
| DOI
2018 | Buchbeitrag | FH-PUB-ID: 1209
Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, Springer International Publishing, 2018, pp. 398–406, doi:10.1007/978-3-319-94295-7_28.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1211
Schenck, Wolfram, et al. “Evaluation and Performance Modeling of a Burst Buffer Solution.” ACM SIGOPS Operating Systems Review, vol. 50, no. 2, Association for Computing Machinery (ACM), 2017, pp. 12–26, doi:10.1145/3041710.3041714.
HSBI-PUB
| DOI
2017 | Buch als Herausgeber | FH-PUB-ID: 1212
Butz, Markus, et al., editors. Anatomy and Plasticity in Large-Scale Brain Models. Frontiers Media SA, 2017, doi:10.3389/978-2-88945-065-7.
HSBI-PUB
| DOI
2017 | Artikel | FH-PUB-ID: 1214
Schenck, Wolfram, et al. “Comparing Parallel Hardware Architectures for Visually Guided Robot Navigation.” Concurrency and Computation: Practice and Experience, vol. 29, no. 4, e3833, Wiley, 2017, doi:10.1002/cpe.3833.
HSBI-PUB
| DOI
2016 | Artikel | FH-PUB-ID: 1213
Butz, Markus, et al. “Editorial: Anatomy and Plasticity in Large-Scale Brain Models.” Frontiers in Neuroanatomy, vol. 10, Frontiers Media SA, 2016, doi:10.3389/fnana.2016.00108.
HSBI-PUB
| DOI
2016 | Buchbeitrag | FH-PUB-ID: 1215
Schenck, Wolfram, et al. “Early Evaluation of the ‘Infinite Memory Engine’ Burst Buffer Solution.” High Performance Computing, edited by Michela Taufer et al., Springer International Publishing, 2016, pp. 604–15, doi:10.1007/978-3-319-46079-6_41.
HSBI-PUB
| DOI
2015 | Buchbeitrag | FH-PUB-ID: 1216
Adinetz, Andrew V., et al. “Performance Evaluation of Scientific Applications on POWER8.” High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation, edited by Stephen A. Jarvis et al., Springer International Publishing, 2015, pp. 24–45, doi:10.1007/978-3-319-17248-4_2.
HSBI-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1217
Schenck, Wolfram. “Robot Studies on Saccade-Triggered Visual Prediction.” New Ideas in Psychology, vol. 31, no. 3, Elsevier BV, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
HSBI-PUB
| DOI
2013 | Artikel | FH-PUB-ID: 1218
Kaiser, Alexander, et al. “Solving the Correspondence Problem in Stereo Vision by Internal Simulation.” Adaptive Behavior, vol. 21, no. 4, SAGE Publications, 2013, pp. 239–50, doi:10.1177/1059712313488425.
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| DOI
2012 | Artikel | FH-PUB-ID: 1221
KAISER, ALEXANDER, et al. “COUPLED SINGULAR VALUE DECOMPOSITION OF A CROSS-COVARIANCE MATRIX.” International Journal of Neural Systems, vol. 20, no. 04, World Scientific Pub Co Pte Lt, 2012, pp. 293–318, doi:10.1142/S0129065710002437.
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| DOI
2011 | Artikel | FH-PUB-ID: 1220
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science, vol. 23, no. 4, Informa UK Limited, 2011, pp. 239–83, doi:10.1080/09540091.2011.625077.
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| DOI
2011 | Artikel | FH-PUB-ID: 1219
Schenck, Wolfram, et al. “Grasping of Extrafoveal Targets: A Robotic Model.” New Ideas in Psychology, vol. 29, no. 3, Elsevier BV, 2011, pp. 235–59, doi:10.1016/j.newideapsych.2009.07.005.
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| DOI
2009 | Buchbeitrag | FH-PUB-ID: 1222
Schenck, Wolfram. “Space Perception through Visuokinesthetic Prediction.” Anticipatory Behavior in Adaptive Learning Systems, edited by Giovanni Pezzulo et al., Springer Berlin Heidelberg, 2009, pp. 247–66, doi:10.1007/978-3-642-02565-5_14.
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| DOI
2008 | Artikel | FH-PUB-ID: 1223
Möller, Ralf, and Wolfram Schenck. “Bootstrapping Cognition from Behavior-A Computerized Thought Experiment.” Cognitive Science, vol. 32, no. 3, Wiley, 2008, pp. 504–42, doi:10.1080/03640210802035241.
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| DOI
2007 | Artikel | FH-PUB-ID: 1224
Kiefer, Markus, et al. “Emotion and Memory: Event-Related Potential Indices Predictive for Subsequent Successful Memory Depend on the Emotional Mood State.” Advances in Cognitive Psychology, vol. 3, no. 3, University of Economics and Human Sciences in Warsaw, 2007, pp. 363–73, doi:10.2478/v10053-008-0001-8.
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| DOI
2007 | Artikel | FH-PUB-ID: 1225
Kollmeier, Thomas, et al. “Spectral Contrasts for Landmark Navigation.” Journal of the Optical Society of America A, vol. 24, no. 1, 1, The Optical Society, 2007, doi:10.1364/JOSAA.24.000001.
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| DOI
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, M., et al. “Mood States Modulate Activity in Semantic Brain Areas during Emotional Word Encoding.” Cerebral Cortex, vol. 17, no. 7, Oxford University Press (OUP), 2007, pp. 1516–30, doi:10.1093/cercor/bhl062.
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| DOI
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz et al., Springer Berlin Heidelberg, 2007, pp. 153–69, doi:10.1007/978-3-540-74262-3_9.
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| DOI
2005 | Artikel | FH-PUB-ID: 1227
Hoffmann, Heiko, et al. “Learning Visuomotor Transformations for Gaze-Control and Grasping.” Biological Cybernetics, vol. 93, no. 2, Springer Science and Business Media LLC, 2005, pp. 119–30, doi:10.1007/s00422-005-0575-x.
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| DOI
2005 | Artikel | FH-PUB-ID: 1228
Fiedler, Klaus, et al. “Priming Trait Inferences Through Pictures and Moving Pictures: The Impact of Open and Closed Mindsets.” Journal of Personality and Social Psychology, vol. 88, no. 2, American Psychological Association (APA), 2005, pp. 229–44, doi:10.1037/0022-3514.88.2.229.
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| DOI