| Erscheinungsdatum | Titel | Autor(en) |
| 41 | 2014 | Heuristic-driven theory projection: An overview | Schmidt, M.; Krumnack, U. ; Gust, H.; Kühnberger, K.-U. |
| 42 | 2015 | On the logical formalization of analogies and theory blending in the HDTP framework | Krumnack, Ulf |
| 43 | 2015 | What is a derived signature morphism? | Mossakowski, T.; Krumnack, U. ; Maibaum, T. |
| 44 | 2017 | Theory blending: extended algorithmic aspects and examples | Martinez, M.; Abdel-Fattah, A. M. H.; Krumnack, U. ; Gomez-Ramirez, D.; Smaill, A.; Besold, T. R.; Pease, A.; Schmidt, M.; Guhe, M.; Kuehnberger, K. -U. |
| 45 | 2017 | Providing video annotations in multimedia containers for visualization and research | Schoning, J. ; Faion, P.; Heidemann, G. ; Krumnack, U. |
| 46 | 2017 | Eye tracking data in multimedia containers for instantaneous visualizations | Schöning, J. ; Faion, P.; Heidemann, G. ; Krumnack, U. |
| 47 | 2017 | Structure from motion by artificial neural networks | Schöning, J. ; Behrens, T.; Faion, P.; Kheiri, P.; Heidemann, G. ; Krumnack, U. |
| 48 | 2017 | Visual Analytics of Gaze Data with Standard Multimedia Players | Schoening, Julius ; Gundler, Christopher ; Heidemann, Gunther ; Koenig, Peter ; Krumnack, Ulf |
| 49 | 2017 | Analogies and Analogical Reasoning in Invention | Krumnack, Ulf ; Kühnberger, Kai-Uwe ; Schwering, Angela; Besold, Tarek R. |
| 50 | 2019 | Semantics of Analogies from a Logical Perspective | Abdelfattah, Ahmed M. H.; Krumnack, Ulf |
| 51 | 2020 | Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells | Doering, E.; Pukropski, A.; Krumnack, U. ; Schaffand, A. |
| 52 | 2020 | Correction to: Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells | Doering, Elena; Pukropski, Anna; Krumnack, Ulf ; Schaffland, Axel |
| 53 | 2021 | Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training | Richter, Mats L.; Schoning, Julius ; Wiedenroth, Anna; Krumnack, Ulf |
| 54 | 2021 | Exploring the Properties and Evolution of Neural Network Eigenspaces during Training. | Richter, Mats L.; Malihi, Leila; Windler, Anne-Kathrin Patricia; Krumnack, Ulf |
| 55 | 2021 | Should You Go Deeper? Optimizing Convolutional Neural Network Architectures without Training by Receptive Field Analysis. | Richter, Mats L.; Schöning, Julius ; Krumnack, Ulf |
| 56 | 2021 | (Input) Size Matters for CNN Classifiers | Richter, M.L.; Byttner, W.; Krumnack, U. ; Wiedenroth, A.; Schallner, L.; Shenk, J. |
| 57 | 2022 | Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training | Richter, Mats L.; Schöning, Julius ; Wiedenroth, Anna; Krumnack, Ulf |
| 58 | 2023 | Individual Recognition in Wild Chimpanzees and Beyond: Supervised Representation Learning | Brima, Yusuf; Southern, Lara; Krumnack, Ulf ; Heidemann, Gunther ; Pika, Simone |
| 59 | 2023 | Opening theBlack Box: Analyzing Attention Weights andHidden States inPre-trained Language Models forNon-language Tasks | Ballout, Mohamad; Krumnack, Ulf ; Heidemann, Gunther ; Kühnberger, Kai-Uwe |
| 60 | 2023 | Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI | Ballout, Mohamad; Krumnack, Ulf ; Heidemann, Gunther ; Kühnberger, Kai-Uwe |
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