31 Publikationen

Alle markieren

[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE.
FH-PUB
 
[30]
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.
FH-PUB | DOI
 
[29]
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.
FH-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.
FH-PUB | DOI
 
[27]
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain, et al. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” BioRxiv, Cold Spring Harbor Laboratory, 2020.
FH-PUB
 
[26]
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.
FH-PUB | DOI
 
[25]
2020 | Konferenzbeitrag | FH-PUB-ID: 1205
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.
FH-PUB | DOI
 
[24]
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.
FH-PUB | DOI
 
[23]
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.
FH-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.
FH-PUB | DOI
 
[21]
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.
FH-PUB | DOI
 
[20]
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
FH-PUB | DOI
 
[19]
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.
FH-PUB | DOI
 
[18]
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.
FH-PUB | DOI
 
[17]
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.
FH-PUB | DOI
 
[16]
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.
FH-PUB | DOI
 
[15]
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.
FH-PUB | DOI
 
[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., Springer International Publishing, 2015, pp. 24–45, doi:10.1007/978-3-319-17248-4_2.
FH-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 BV, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
FH-PUB | DOI
 
[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.
FH-PUB | DOI
 
[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.
FH-PUB | DOI
 
[10]
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.
FH-PUB | DOI
 
[9]
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.
FH-PUB | DOI
 
[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., Springer Berlin Heidelberg, 2009, pp. 247–66, doi:10.1007/978-3-642-02565-5_14.
FH-PUB | DOI
 
[7]
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.
FH-PUB | DOI
 
[6]
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.
FH-PUB | DOI
 
[5]
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.
FH-PUB | DOI
 
[4]
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.
FH-PUB | DOI
 
[3]
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” 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.
FH-PUB | DOI
 
[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.
FH-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.
FH-PUB | DOI
 

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Publikationen filtern

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Zitationsstil: MLA

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31 Publikationen

Alle markieren

[31]
2021 | Konferenzbeitrag | FH-PUB-ID: 1373
Voigt, Tim, et al. “Advanced Data Analytics Platform for Manufacturing Companies.” 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE.
FH-PUB
 
[30]
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.
FH-PUB | DOI
 
[29]
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.
FH-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.
FH-PUB | DOI
 
[27]
2020 | Preprint | FH-PUB-ID: 1308
Shah, Zafran Hussain, et al. “Deep-Learning Based Denoising and Reconstruction of Super-Resolution Structured Illumination Microscopy Images.” BioRxiv, Cold Spring Harbor Laboratory, 2020.
FH-PUB
 
[26]
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.
FH-PUB | DOI
 
[25]
2020 | Konferenzbeitrag | FH-PUB-ID: 1205
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.
FH-PUB | DOI
 
[24]
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.
FH-PUB | DOI
 
[23]
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.
FH-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.
FH-PUB | DOI
 
[21]
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.
FH-PUB | DOI
 
[20]
2017 | Artikel | FH-PUB-ID: 1210
Kunkel, Susanne, and Wolfram Schenck. “The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code.” Frontiers in Neuroinformatics, vol. 11, Frontiers Media SA, 2017, doi:10.3389/fninf.2017.00040.
FH-PUB | DOI
 
[19]
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.
FH-PUB | DOI
 
[18]
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.
FH-PUB | DOI
 
[17]
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.
FH-PUB | DOI
 
[16]
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.
FH-PUB | DOI
 
[15]
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.
FH-PUB | DOI
 
[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., Springer International Publishing, 2015, pp. 24–45, doi:10.1007/978-3-319-17248-4_2.
FH-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 BV, 2013, pp. 221–38, doi:10.1016/j.newideapsych.2012.12.003.
FH-PUB | DOI
 
[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.
FH-PUB | DOI
 
[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.
FH-PUB | DOI
 
[10]
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.
FH-PUB | DOI
 
[9]
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.
FH-PUB | DOI
 
[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., Springer Berlin Heidelberg, 2009, pp. 247–66, doi:10.1007/978-3-642-02565-5_14.
FH-PUB | DOI
 
[7]
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.
FH-PUB | DOI
 
[6]
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.
FH-PUB | DOI
 
[5]
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.
FH-PUB | DOI
 
[4]
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.
FH-PUB | DOI
 
[3]
2007 | Buchbeitrag | FH-PUB-ID: 1229
Schenck, Wolfram, and Ralf Möller. “Training and Application of a Visual Forward Model for a Robot Camera Head.” 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.
FH-PUB | DOI
 
[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.
FH-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.
FH-PUB | DOI
 

Suche

Publikationen filtern

Darstellung / Sortierung

Zitationsstil: MLA

Export / Einbettung