A domain specific students' assistance system for the provision of instructional feedback. Obionwu, C. V., Tiwari, T., Chovatta Valappil, B. B., Raikar, N., Walia, D. S., ... & Saake, G. (2024). A domain specific students' assistance system for the provision of instructional feedback. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 International Conference on Machine Learning and Applications (ICMLA) (S. 2065-2070). Jacksonville, Florida, USA: IEEE. https://doi.org/10.1109/ICMLA58977.2023.00312
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Europa-Universität Flensburg. Sanders, S. (2024). Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Europa-Universität Flensburg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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Knowledge distillation for quantized vehicle sensor data. Vox, C., Niemann, O., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2024). Knowledge distillation for quantized vehicle sensor data. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 International Conference on Machine Learning and Applications (ICMLA) (S. 908-915). Jacksonville, Florida, USA: IEEE. https://doi.org/10.1109/ICMLA58977.2023.00134
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Enforcing right to be forgotten in cloud-based data lakes. Bhardwaj, P., Darrab, S., Broneske, D., Klose, I., & Saake, G. (2024). Enforcing right to be forgotten in cloud-based data lakes. In Arai, K. (Hrsg.), Advances in Information and Communication (FICC 2024) (S. 220-234). Cham: Springer. https://doi.org/10.1007/978-3-031-53963-3_16
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Otto-von-Guericke-Universität Magdeburg. Sanders, S. (2024). Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Otto-von-Guericke-Universität Magdeburg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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The Effect of Germany´s Federalism on Student Success. Hönnige, C., Bauer, V. A., Bernauer, J., Zittlau, S., Epping, V., ... & Nguyen Xuan, A. (2024). The Effect of Germany´s Federalism on Student Success. The "Index of Commitment" as Comparative Measure for Study and Examination Regulations. LCSS Working Paper (16). Hannover: Leibniz Universität Hannover. https://doi.org/10.15488/16457
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Technische Universität Hamburg. Sanders, S. (2024). Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Technische Universität Hamburg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Martin-Luther-Universität Halle-Wittenberg. Sanders, S. (2024). Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen Martin-Luther-Universität Halle-Wittenberg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).
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Barometer für die Wissenschaft. Ergebnisse der Wissenschaftsbefragung 2023. Fabian, G., Heger, C., & Fedzin, M. (2024). Barometer für die Wissenschaft. Ergebnisse der Wissenschaftsbefragung 2023. Berlin: DZHW. https://doi.org/10.31235/osf.io/ea5kr
Abstract
The Scientists Survey was initiated in 2010. It is intended as a long-term barometer for science. Because the 2023 edition was the fourth wave, many topics, such as attitudes and opinions on science policy for example, can be examined over time in trends analyses. Additionally, the timing of the surveys waves has enabled a particular set of research questions: while the current cohort was surveyed directly at the end of the pandemic, the preceding wave took place directly before the start of the first extensive restrictions due to the COVID-19 pandemic. This "historical coincidence" gives insights into the way researchers worked in the time before, during and after the pandemic.
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Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability. Simon, A., Kircheis, W., Schmidt, M., Potthast, M., & Stein, B. (2024). Who are the “Heroes of CRISPR”? Public science communication on Wikipedia and the challenge of micro-notability. Public Understanding of Science (online first).
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Kein Gott, kein Staat, kein Klassikerdiktat! Plädoyer für eine andere Soziologiegeschichte. Hesselmann, F. (2024). Kein Gott, kein Staat, kein Klassikerdiktat! Plädoyer für eine andere Soziologiegeschichte. Soziopolis.
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Private higher education: a comparative study of Germany and the United Arab Emirates. Kleimann, B., & Ashour, S. (2024). Private higher education: a comparative study of Germany and the United Arab Emirates. Research Papers in Education, 39(1), 1-17. https://doi.org/10.1080/02671522.2024.2318033
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An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. Abbas, M. N., Attea, B. A., Broneske, D., & Saake, G. (2024). An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3367746
Abstract
Computational biology research faces a formidable challenge in the detection of complexes within protein-protein interaction (PPI) networks, critical for unraveling cellular processes, predicting functions of uncharacterized proteins, and diagnosing diseases. While evolutionary algorithms (EAs), particularly state-of-the-art methods, often partition PPI networks based on graph properties or biological semantics, their resilience to noisy or missing interactions remains an underexplored territory. In this paper, we propose a groundbreaking heuristic operator, termed "strong neighbor-node migration", specifically designed to elevate solution quality [...] Full Abstract: https://ieeexplore.ieee.org/document/10440281
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Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. Avetisyan, H., Safikhani, P., & Broneske, D. (2024). Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. In Arai, K. (Hrsg.), Intelligent Systems and Applications
(S. 81-90). Cham: Springer. https://doi.org/10.1007/978-3-031-47718-8
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