PUBLIKATIONSSERVER

Wolfram Schenck

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

63 Publikationen

Alle markieren

[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, et al. NNXC: Neural Network Meets Approximate Computing. Institute for Data Science Solutions, 2025.
HSBI-PUB
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, et al. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” Workshop on AI and Its Applications, Institute for Data Science Solutions, 2025, doi:10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, et al. Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. Institute for Data Science Solutions.
HSBI-PUB
 
[60]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing, vol. 9, no. 10, 261, MDPI AG, 2025, doi:10.3390/bdcc9100261.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian, et al. “Softwaregestützte Analyse geriatrischer Entlassbriefe.” Zeitschrift für Gerontologie und Geriatrie, Springer Science and Business Media LLC, 2025, doi:10.1007/s00391-025-02478-6.
HSBI-PUB | DOI | Download (ext.)
 
[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, vol. 36, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 3273–87, doi:10.1109/TNNLS.2024.3352279.
HSBI-PUB | DOI
 
[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, vol. 36, no. 8, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 4317–30, doi: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, vol. 36, no. 8, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 4317–30, doi:10.1109/TKDE.2024.3365189.
HSBI-PUB | DOI
 
[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.” 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 et al., Springer Nature Switzerland, 2024, pp. 427–44, doi:10.1007/978-3-031-72353-7_31.
HSBI-PUB | DOI
 
[54]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, et al. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP, vol. 128, Elsevier BV, 2024, pp. 424–29, doi:10.1016/j.procir.2024.03.022.
HSBI-PUB | DOI
 
[53]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024, doi:10.4119/UNIBI/2992602.
HSBI-PUB | DOI
 
[52]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain, et al. “Evaluation of Swin Transformer and Knowledge Transfer for Denoising of Super-Resolution Structured Illumination Microscopy Data.” GigaScience, vol. 13, Oxford University Press (OUP), 2024, doi:10.1093/gigascience/giad109.
HSBI-PUB | DOI | Download (ext.)
 
[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain, et al. “Image Restoration in Frequency Space Using Complex-Valued CNNs.” Frontiers in Artificial Intelligence, vol. 7, Frontiers Media SA, 2024, doi:10.3389/frai.2024.1353873.
HSBI-PUB | DOI
 
[50]
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
 
[49]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, et al. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts, vol. 20, 100635, Elsevier BV, 2024, doi:10.1016/j.simpa.2024.100635.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, et al. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, IEEE, 2024, pp. 509–19, doi:10.23919/FRUCT61870.2024.10516367.
HSBI-PUB | DOI
 
[47]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, et al. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann et al., vol. 18, Springer Nature Switzerland, 2024, pp. 89–100, doi:10.1007/978-3-031-47062-2_9.
HSBI-PUB | DOI
 
[46]
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, et al. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics, vol. 12, no. 17, 2663, MDPI AG, 2024, doi:10.3390/math12172663.
HSBI-PUB | DOI
 
[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, et al. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi et al., Springer Nature Switzerland, 2024, pp. 423–37, doi:10.1007/978-3-031-59717-6_27.
HSBI-PUB | DOI
 
[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, vol. 11, no. 4, 820, MDPI AG, 2023, doi:10.3390/math11040820.
HSBI-PUB | DOI | Download (ext.)
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, et al. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, IEEE, 2023, pp. 1–7, doi:10.1109/ADACIS59737.2023.10424368.
HSBI-PUB | DOI
 
[42]
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
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
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.)
 
[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, vol. 10, no. 7, 1068, MDPI AG, 2022, doi:10.3390/math10071068.
HSBI-PUB | DOI | Download (ext.)
 
[39]
2022 | Artikel | FH-PUB-ID: 1799 | OA
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.)
 
[38]
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
 
[37]
2022 | Artikel | FH-PUB-ID: 2944 | OA
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.)
 
[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.” 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.)
 
[35]
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
 
[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, vol. 167, 114430, Elsevier BV, 2021, doi:10.1016/j.eswa.2020.114430.
HSBI-PUB | DOI
 
[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, vol. 67, 100952, Elsevier BV, 2021, doi:10.1016/j.swevo.2021.100952.
HSBI-PUB | DOI
 
[32]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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.)
 
[31]
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
 
[30]
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
 
[29]
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
 
[28]
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
 
[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, vol. 210, 106500, Elsevier BV, 2020, doi:10.1016/j.knosys.2020.106500.
HSBI-PUB | DOI
 
[26]
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
 
[25]
2020 | Konferenzbeitrag | 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
 
[24]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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.)
 
[23]
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
 
[22]
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
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209 | OA
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 | Download (ext.)
 
[20]
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
 
[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, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
HSBI-PUB | DOI | Download (ext.)
 
[18]
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
 
[17]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
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 | Download (ext.)
 
[16]
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., vol. vol 9945, Springer International Publishing, 2016, pp. 604–15, doi:10.1007/978-3-319-46079-6_41.
HSBI-PUB | DOI | Download (ext.)
 
[15]
2016 | Artikel | FH-PUB-ID: 1213 | OA
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 | Download (ext.)
 
[14]
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., vol. 8966, Springer International Publishing, 2015, pp. 24–45, doi: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, vol. 31, no. 3, Elsevier, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
HSBI-PUB | DOI | Download (ext.)
 
[12]
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 | Download (ext.)
 
[11]
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
 
[10]
2011 | Artikel | FH-PUB-ID: 1219 | OA
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 | Download (ext.)
 
[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science, vol. 23, no. 4, Taylor & Francis, 2011, pp. 239–83, doi:10.1080/09540091.2011.625077.
HSBI-PUB | DOI | Download (ext.)
 
[8]
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., vol. 5499, Springer, 2009, pp. 247–66, doi: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, vol. 32, no. 3, Wiley, 2008, pp. 504–42, doi:10.1080/03640210802035241.
HSBI-PUB | DOI | Download (ext.)
 
[6]
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, The Optical Society of America, 2007, pp. 1–10, doi:10.1364/JOSAA.24.000001.
HSBI-PUB | DOI | Download (ext.)
 
[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.” Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz et al., vol. 4520, Springer Berlin Heidelberg, 2007, pp. 153–69, doi:10.1007/978-3-540-74262-3_9.
HSBI-PUB | DOI | Download (ext.)
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus, 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 | Download (ext.)
 
[3]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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 | Download (ext.)
 
[2]
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
 
[1]
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.
HSBI-PUB | DOI
 
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63 Publikationen

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[63]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6080
Jalil, Farjana, et al. NNXC: Neural Network Meets Approximate Computing. Institute for Data Science Solutions, 2025.
HSBI-PUB
 
[62]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6081
Jalil, Farjana, et al. “AutoDSE: Towards HW/AI Co-Design of Ultra-Low Latency Hardware Accelerators for Industrial Applications.” Workshop on AI and Its Applications, Institute for Data Science Solutions, 2025, doi:10.60802/sidas.2025.2.
HSBI-PUB | DOI
 
[61]
2025 | Kurzbeitrag Konferenz | FH-PUB-ID: 6077
Leuering, Julien, et al. Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements. Institute for Data Science Solutions.
HSBI-PUB
 
[60]
2025 | Artikel | FH-PUB-ID: 6244 | OA
Niederhaus, Marvin, et al. “Integrating Graph Retrieval-Augmented Generation into Prescriptive Recommender Systems.” Big Data and Cognitive Computing, vol. 9, no. 10, 261, MDPI AG, 2025, doi:10.3390/bdcc9100261.
HSBI-PUB | Dateien verfügbar | DOI | Download (ext.)
 
[59]
2025 | Artikel | FH-PUB-ID: 6133 | OA
Herzig, Tim Christian, et al. “Softwaregestützte Analyse geriatrischer Entlassbriefe.” Zeitschrift für Gerontologie und Geriatrie, Springer Science and Business Media LLC, 2025, doi:10.1007/s00391-025-02478-6.
HSBI-PUB | DOI | Download (ext.)
 
[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, vol. 36, no. 2, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 3273–87, doi:10.1109/TNNLS.2024.3352279.
HSBI-PUB | DOI
 
[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, vol. 36, no. 8, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 4317–30, doi: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, vol. 36, no. 8, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 4317–30, doi:10.1109/TKDE.2024.3365189.
HSBI-PUB | DOI
 
[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.” 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 et al., Springer Nature Switzerland, 2024, pp. 427–44, doi:10.1007/978-3-031-72353-7_31.
HSBI-PUB | DOI
 
[54]
2024 | Artikel | FH-PUB-ID: 5497
Weller, Julian, et al. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP, vol. 128, Elsevier BV, 2024, pp. 424–29, doi:10.1016/j.procir.2024.03.022.
HSBI-PUB | DOI
 
[53]
2024 | Diskussionspapier | FH-PUB-ID: 5498
Hammer, Barbara, et al. Sustainable Life-Cycle of Intelligent Socio-Technical Systems. Bielefeld University, 2024, doi:10.4119/UNIBI/2992602.
HSBI-PUB | DOI
 
[52]
2024 | Artikel | FH-PUB-ID: 5500 | OA
Shah, Zafran Hussain, et al. “Evaluation of Swin Transformer and Knowledge Transfer for Denoising of Super-Resolution Structured Illumination Microscopy Data.” GigaScience, vol. 13, Oxford University Press (OUP), 2024, doi:10.1093/gigascience/giad109.
HSBI-PUB | DOI | Download (ext.)
 
[51]
2024 | Artikel | FH-PUB-ID: 5499
Shah, Zafran Hussain, et al. “Image Restoration in Frequency Space Using Complex-Valued CNNs.” Frontiers in Artificial Intelligence, vol. 7, Frontiers Media SA, 2024, doi:10.3389/frai.2024.1353873.
HSBI-PUB | DOI
 
[50]
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
 
[49]
2024 | Artikel | FH-PUB-ID: 4698
Migenda, Nico, et al. “NGPCA: Clustering of High-Dimensional and Non-Stationary Data Streams.” Software Impacts, vol. 20, 100635, Elsevier BV, 2024, doi:10.1016/j.simpa.2024.100635.
HSBI-PUB | DOI
 
[48]
2024 | Konferenzbeitrag | FH-PUB-ID: 4699
Niederhaus, Marvin, et al. “Technical Readiness of Prescriptive Analytics Platforms: A Survey.” 2024 35th Conference of Open Innovations Association (FRUCT), edited by IEEE, IEEE, 2024, pp. 509–19, doi:10.23919/FRUCT61870.2024.10516367.
HSBI-PUB | DOI
 
[47]
2024 | Buchbeitrag | FH-PUB-ID: 4915
Weller, Julian, et al. “Towards a Systematic Approach for Prescriptive Analytics Use Cases in Smart Factories.” Machine Learning for Cyber-Physical Systems. Selected Papers from the International Conference ML4CPS 2023, edited by Oliver Niggemann et al., vol. 18, Springer Nature Switzerland, 2024, pp. 89–100, doi:10.1007/978-3-031-47062-2_9.
HSBI-PUB | DOI
 
[46]
2024 | Artikel | FH-PUB-ID: 4913
Weller, Julian, et al. “Reference Architecture for the Integration of Prescriptive Analytics Use Cases in Smart Factories.” Mathematics, vol. 12, no. 17, 2663, MDPI AG, 2024, doi:10.3390/math12172663.
HSBI-PUB | DOI
 
[45]
2024 | Konferenzbeitrag | FH-PUB-ID: 4644
Klein, Lukas, et al. “Exploratory Analysis of Machine Learning Methods for the Prognosis of Falls in Elderly Care Based on Accelerometer Data.” Pervasive Computing Technologies for Healthcare. 17th EAI International Conference, PervasiveHealth 2023, Malmö, Sweden, November 27-29, 2023, Proceedings, edited by Dario Salvi et al., Springer Nature Switzerland, 2024, pp. 423–37, doi:10.1007/978-3-031-59717-6_27.
HSBI-PUB | DOI
 
[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, vol. 11, no. 4, 820, MDPI AG, 2023, doi:10.3390/math11040820.
HSBI-PUB | DOI | Download (ext.)
 
[43]
2023 | Konferenzbeitrag | FH-PUB-ID: 4700
Weller, Julian, et al. “Conceptual Framework for Prescriptive Analytics Based on Decision Theory in Smart Factories.” 2023 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS), edited by IEEE, IEEE, 2023, pp. 1–7, doi:10.1109/ADACIS59737.2023.10424368.
HSBI-PUB | DOI
 
[42]
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
 
[41]
2023 | Artikel | FH-PUB-ID: 3453 | OA
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.)
 
[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, vol. 10, no. 7, 1068, MDPI AG, 2022, doi:10.3390/math10071068.
HSBI-PUB | DOI | Download (ext.)
 
[39]
2022 | Artikel | FH-PUB-ID: 1799 | OA
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.)
 
[38]
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
 
[37]
2022 | Artikel | FH-PUB-ID: 2944 | OA
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.)
 
[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.” 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.)
 
[35]
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
 
[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, vol. 167, 114430, Elsevier BV, 2021, doi:10.1016/j.eswa.2020.114430.
HSBI-PUB | DOI
 
[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, vol. 67, 100952, Elsevier BV, 2021, doi:10.1016/j.swevo.2021.100952.
HSBI-PUB | DOI
 
[32]
2021 | Artikel | FH-PUB-ID: 1201 | OA
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.)
 
[31]
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
 
[30]
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
 
[29]
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
 
[28]
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
 
[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, vol. 210, 106500, Elsevier BV, 2020, doi:10.1016/j.knosys.2020.106500.
HSBI-PUB | DOI
 
[26]
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
 
[25]
2020 | Konferenzbeitrag | 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
 
[24]
2020 | Diskussionspapier | FH-PUB-ID: 2778 | OA
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.)
 
[23]
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
 
[22]
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
 
[21]
2018 | Buchbeitrag | FH-PUB-ID: 1209 | OA
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 | Download (ext.)
 
[20]
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
 
[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, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
HSBI-PUB | DOI | Download (ext.)
 
[18]
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
 
[17]
2017 | Buch als Herausgeber | FH-PUB-ID: 1212 | OA
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 | Download (ext.)
 
[16]
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., vol. vol 9945, Springer International Publishing, 2016, pp. 604–15, doi:10.1007/978-3-319-46079-6_41.
HSBI-PUB | DOI | Download (ext.)
 
[15]
2016 | Artikel | FH-PUB-ID: 1213 | OA
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 | Download (ext.)
 
[14]
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., vol. 8966, Springer International Publishing, 2015, pp. 24–45, doi: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, vol. 31, no. 3, Elsevier, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
HSBI-PUB | DOI | Download (ext.)
 
[12]
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 | Download (ext.)
 
[11]
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
 
[10]
2011 | Artikel | FH-PUB-ID: 1219 | OA
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 | Download (ext.)
 
[9]
2011 | Artikel | FH-PUB-ID: 1220 | OA
Schenck, Wolfram. “Kinematic Motor Learning.” Connection Science, vol. 23, no. 4, Taylor & Francis, 2011, pp. 239–83, doi:10.1080/09540091.2011.625077.
HSBI-PUB | DOI | Download (ext.)
 
[8]
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., vol. 5499, Springer, 2009, pp. 247–66, doi: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, vol. 32, no. 3, Wiley, 2008, pp. 504–42, doi:10.1080/03640210802035241.
HSBI-PUB | DOI | Download (ext.)
 
[6]
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, The Optical Society of America, 2007, pp. 1–10, doi:10.1364/JOSAA.24.000001.
HSBI-PUB | DOI | Download (ext.)
 
[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.” Anticipatory Behavior in Adaptive Learning Systems, edited by Martin V. Butz et al., vol. 4520, Springer Berlin Heidelberg, 2007, pp. 153–69, doi:10.1007/978-3-540-74262-3_9.
HSBI-PUB | DOI | Download (ext.)
 
[4]
2007 | Artikel | FH-PUB-ID: 1226
Kiefer, Markus, 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 | Download (ext.)
 
[3]
2007 | Artikel | FH-PUB-ID: 1224 | OA
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 | Download (ext.)
 
[2]
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
 
[1]
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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