@article{55434, author = {{Vandenbussche, Saskia}}, journal = {{Internationale Neerlandistiek}}, number = {{1}}, pages = {{1--18}}, publisher = {{Amsterdam University Press}}, title = {{{Heterolinguale humor in Fikry El Azzouzi's trilogie Ayoub}}}, doi = {{ https://doi.org/10.5117/IN2023.1.001.VAND}}, volume = {{61}}, year = {{2023}}, } @article{55441, author = {{Vandenbussche, Saskia}}, journal = {{De Reactor. Vlaams-Nederlands platform voor literatuurkritiek}}, keywords = {{Novel review}}, title = {{{Lachend afdalen in een depressie. 'Iemand anders' (2023) van Nele Van den Broeck}}}, year = {{2023}}, } @article{55442, author = {{Vandenbussche, Saskia}}, journal = {{De Reactor. Vlaams-Nederlands platform voor literatuurkritiek}}, keywords = {{Rezension}}, title = {{{Pamflet tegen hypocrisie. Ik ga leven (2021) van Lale Gül}}}, year = {{2023}}, } @inproceedings{42163, abstract = {{The article shows how to learn models of dynamical systems from data which are governed by an unknown variational PDE. Rather than employing reduction techniques, we learn a discrete field theory governed by a discrete Lagrangian density $L_d$ that is modelled as a neural network. Careful regularisation of the loss function for training $L_d$ is necessary to obtain a field theory that is suitable for numerical computations: we derive a regularisation term which optimises the solvability of the discrete Euler--Lagrange equations. Secondly, we develop a method to find solutions to machine learned discrete field theories which constitute travelling waves of the underlying continuous PDE.}}, author = {{Offen, Christian and Ober-Blöbaum, Sina}}, booktitle = {{Geometric Science of Information}}, editor = {{Nielsen, F and Barbaresco, F}}, keywords = {{System identification, discrete Lagrangians, travelling waves}}, location = {{Saint-Malo, Palais du Grand Large, France}}, pages = {{569--579}}, publisher = {{Springer, Cham.}}, title = {{{Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves}}}, doi = {{10.1007/978-3-031-38271-0_57}}, volume = {{14071}}, year = {{2023}}, } @article{49900, author = {{Grimminger-Seidensticker, Elke}}, journal = {{Quick And Easy Journal Title}}, title = {{{New Quick And Easy Publication - Will be edited by LibreCat team}}}, year = {{2023}}, } @inproceedings{47116, abstract = {{This paper presents a comprehensive study on diagnosing a spacecraft propulsion system utilizing data provided by the Prognostics and Health Management (PHM) society, specifically obtained as part of the Asia-Pacific PHM conference’s data challenge 2023. The objective of the challenge is to identify and diagnose known faults as well as unknown anomalies in the spacecraft’s propulsion system, which is critical for ensuring the spacecraft’s proper functionality and safety. To address this challenge, the proposed method follows a systematic approach of feature extraction, feature selection, and model development. The models employed in this study are kMeans clustering and decision trees combined to ensembles, enriched with expert knowledge. With the method presented, our team was capable of reaching high accuracy in identifying anomalies as well as diagnosing faults, resulting in attaining the seventh place with a score of 93.08 %.}}, author = {{Aimiyekagbon, Osarenren Kennedy and Löwen, Alexander and Bender, Amelie and Muth, Lars and Sextro, Walter}}, booktitle = {{Proceedings of the Asia Pacific Conference of the PHM Society 2023 }}, keywords = {{PHM, Fault Diagnostics, Multiple Fault Modes, Expert-Informed Diagnostics, Anomaly Detection}}, number = {{1}}, title = {{{Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System}}}, doi = {{10.36001/phmap.2023.v4i1.3596}}, volume = {{4}}, year = {{2023}}, } @inproceedings{55842, abstract = {{This is the extended abstract for my conference paper from the 2020 DHd Conference in Paderborn, along with the slides and moderator notes from the corresponding presentation.}}, author = {{Kepper, Johannes}}, location = {{Paderborn}}, title = {{{Zu den Anforderungen einer musikalischen Stilometrie}}}, doi = {{10.5281/ZENODO.13293191}}, year = {{2023}}, } @misc{55850, abstract = {{This release covers the state of this prototype app at the end of the funding phase for the Paderborn University part of the Beethoven in the House project. It uses https://api.domestic-beethoven.eu/ld/BithCollection.jsonld as starting point for traversing the LOD graph, and reads data from the project pod available from https://bith.solidcommunity.net/public/bith.ttl (which has no content at the time of the release).}}, author = {{Kepper, Johannes}}, keywords = {{MEI, Edirom, Music Encoding Initiative, Linked Open Data, MELD}}, publisher = {{Zenodo}}, title = {{{DomesticBeethoven/bith-annotator: Release 2023-04}}}, doi = {{10.5281/ZENODO.7877741}}, year = {{2023}}, } @book{55836, abstract = {{PDF versions of the Music Encoding Initiative Guidelines 5.0 [2023]: This version represents the 5.0 release of the Music Encoding Initiative Guidelines.}}, editor = {{Roland, Perry D. and Kepper, Johannes}}, publisher = {{Zenodo}}, title = {{{MEI: The Music Encoding Initiative Guidelines (PDF)}}}, doi = {{10.5281/ZENODO.10040258}}, year = {{2023}}, } @inproceedings{55833, abstract = {{We present a new multi-layered, conceptual model for associating musical source materials to musicological arguments. We describe our proposal for operationalizing these concepts through a framework for musical annotation which we have implemented using RDF. Briefly stated, this model shows how portions of digitized data in various files and formats can be identified, selected, labelled, and compared.}}, author = {{Shibata, Elisabete and Lewis, David and Saccomano, Mark and Kepper, Johannes and Page, Kevin}}, booktitle = {{Proceedings of the Music Encoding Conference 2022}}, editor = {{Weigl, David and Bain, Jennifer and Ang, Ailynn}}, keywords = {{BitH, Linked Data}}, pages = {{145–150}}, title = {{{A New Conceptual Model for Musical Sources and Musicological Studies}}}, doi = {{https://doi.org/10.17613/8p2c-1q77}}, year = {{2023}}, } @inproceedings{55832, abstract = {{Digital musicology research often proceeds by extending and enriching its evidence base as it progresses, rather than starting with a complete corpus of data and metadata, as a consequence of an emergent research need. In this paper, we consider a research workflow which assumes an incremental approach to data gathering and annotation. We describe tooling which implements parts of this workflow, developed to support the study of nineteenth-century music arrangements, and evaluate the applicability of our approach through interviews with musicologists and music editors who have used the tools. We conclude by considering extensions of this approach and the wider implications for digital musicology and music information retrieval.}}, author = {{Lewis, David and Shibata, Elisabete and Hankinson, Andrew and Kepper, Johannes and Page, Kevin R. and Rosendahl, Lisa and Saccomano, Mark and Siegert, Christine}}, keywords = {{BitH, Linked Data}}, title = {{{Supporting Musicological Investigations With Information Retrieval Tools: An Iterative Approach to Data Collection}}}, doi = {{10.5281/ZENODO.10265407}}, year = {{2023}}, } @book{47617, abstract = {{Die Warnung von Eltern, aufzupassen, was man online teilt, ist allgegenwärtig. Dem schließen sich Datenschützer*innen an und gebieten einen bewussten und sparsamen Umgang mit Diensten und Daten. Eine digitale Desökonomie widersetzt sich diesen Warnungen und sucht den kritischen Umgang mit der digitalen Gegenwartskultur nicht in der Askese, sondern im Exzess. Kunstwerke, Bilder und Daten sind »zu viel«, türmen sich auf und wiederholen sich ständig. Mit Bezug auf Ansätze der Gouvernementalität, der Queer Theory und auf Theorien von Georges Bataille und Roger Caillois analysiert Sebastian Althoff diese unproduktive Produktionsweise des Digitalen und zeigt eine Praxis auf, die Trägheit statt flow schafft.}}, author = {{Althoff, Sebastian}}, isbn = {{9783839466902}}, publisher = {{transcript}}, title = {{{Digitale Desökonomie: Unproduktivität, Trägheit und Exzess im digitalen Milieu}}}, year = {{2023}}, } @article{36800, abstract = {{Abstract. The miniaturisation of components leads to new demands on measurement systems. One of these is the resolution. As a volumetric analysis method and method of non-destructive testing, industrial X-ray computed tomography (XCT) has the ability to measure geometrical features and their corresponding dimensions without destroying them and can therefore be used for quality assurance. However, the concept of resolution is not trivial for XCT and has not yet been finally clarified. In particular, the interface structural resolution, the detectability of two surfaces facing each other after surface segmentation, faces a lack of a test specimen, a corresponding measurand and a reliable method. Simulation-based XCT investigations of a method to determine this type of resolution are presented in this article using the geometry of a test specimen that contains several radially arranged holes of the same size. The borehole diameters correspond to the distance between the holes to investigate the resolvability of surfaces and interfaces. The evaluation is based on mean and extreme values of grey value profiles between the individual boreholes of the reconstructed volume. It is shown that the geometrical detectability of the test specimen surface and interface can be extended by a reasonable choice of the threshold value for surface segmentation within a defined interval. With regard to the resolving capability, a distinction is made between assured detectability and possible detectability, as well as the threshold value used when using the ISO50 threshold for surface segmentation and measurement chain completion. }}, author = {{Busch, Matthias and Hausotte, Tino}}, issn = {{2194-878X}}, journal = {{Journal of Sensors and Sensor Systems}}, keywords = {{Electrical and Electronic Engineering, Instrumentation}}, number = {{1}}, pages = {{1--8}}, publisher = {{Copernicus GmbH}}, title = {{{Simulation-based investigation of the metrological interface structural resolution capability of X-ray computed tomography scanners}}}, doi = {{10.5194/jsss-12-1-2023}}, volume = {{12}}, year = {{2023}}, } @inproceedings{35426, author = {{Richter, Cedric and Haltermann, Jan Frederik and Jakobs, Marie-Christine and Pauck, Felix and Schott, Stefan and Wehrheim, Heike}}, booktitle = {{37th IEEE/ACM International Conference on Automated Software Engineering}}, publisher = {{ACM}}, title = {{{Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs?}}}, doi = {{10.1145/3551349.3561156}}, year = {{2023}}, } @inproceedings{35427, author = {{Pauck, Felix}}, booktitle = {{37th IEEE/ACM International Conference on Automated Software Engineering}}, publisher = {{ACM}}, title = {{{Scaling Arbitrary Android App Analyses}}}, doi = {{10.1145/3551349.3561339}}, year = {{2023}}, } @phdthesis{37645, abstract = {{Für den Erwerb fachmethodischer Fähigkeiten stellen Laborpraktika eine zentrale Lerngelegenheiten des Physikstudiums dar. Trotz ihrer hohen Bedeutung fehlt ein hochschulfachdidaktischer Diskurs zu einer lehr-lerntheoretischen Fundierung. Zudem wird ihre Lernwirksamkeit aufgrund der bestehenden didaktischen Gestaltung kritisiert. Die weit verbreiteten engmaschigen Aufgabenstellungen enthalten keine Anreize zur tiefergehenden Auseinandersetzung mit den Inhalten. Um der Diskrepanz zwischen den Zielsetzungen und den von den Lernenden erworbenen Fähigkeiten entgegenzuwirken, liegen aktuell nur wenige und zudem nur punktuelle Grundlagen für eine evidenzbasierte Überarbeitung dieses Veranstaltungsformates vor. Ziel dieser Arbeit ist daher, einen Vorschlag für ein performanzorientiertes Kompetenzstrukturmodell auf universitärem Niveau zu entwickeln, das die Inhaltsbereiche, die experimentellen Fähigkeiten und Fertigkeiten sowie die Qualitätsausprägungen experimenteller Handlungen systematisiert.Die Modellierung ist auf Basis der Analyse videografierter experimenteller Performanz von 16 unterschiedlich fähigen Proband:innen realisiert worden. Für die Entwicklung der Dimensionen Fachmethodik und Qualitätsausprägung werden unter Nutzung der qualitativen Forschungsansätze Dokumentarische Methode und Typenbildung die charakteristischen Merkmale universitären Experimentierens identifiziert und anschließend systematisiert. Zur Prüfung der Passung des Modells zur Perspektive der Wissenschaft Physik ist ein Interrating mit einem Fachwissenschaftler durchgeführt worden, das sehr gute Übereinstimmungswerte liefert. Die Passung des Modells zur Perspektive der Praktikumsleiter:innen ist durch ein Expertenrating erfolgt. Ein Rangfolgen-Vergleich zeigt hohe Übereinstimmungswerte.}}, author = {{Bauer, Anna Brigitte}}, publisher = {{LibreCat University}}, title = {{{Experimentelle Kompetenz Physikstudierender}}}, doi = {{10.17619/UNIPB/1-1652}}, year = {{2023}}, } @article{41874, author = {{Pfeiffer, Jella and Gutschow, Julia and Haas, Christian and Möslein, Florian and Maspfuhl, Oliver and Borgers, Frederik and Alpsancar, Suzana}}, issn = {{2363-7005}}, journal = {{Business & Information Systems Engineering}}, keywords = {{Information Systems}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Algorithmic Fairness in AI}}}, doi = {{10.1007/s12599-023-00787-x}}, year = {{2023}}, } @misc{41948, author = {{Süßmann, Johannes}}, booktitle = {{wissen/leben. Die Zeitung der WWU Münster}}, pages = {{6}}, title = {{{Zu »wahrer Glückseligkeit« anleiten. WWU-Gründervater Franz von Fürstenberg wollte vor allem den Fortbestand des Landes sichern – ein Gastbeitrag}}}, volume = {{17/1}}, year = {{2023}}, } @unpublished{42160, abstract = {{The goal of this paper is to make a strong point for the usage of dynamical models when using reinforcement learning (RL) for feedback control of dynamical systems governed by partial differential equations (PDEs). To breach the gap between the immense promises we see in RL and the applicability in complex engineering systems, the main challenges are the massive requirements in terms of the training data, as well as the lack of performance guarantees. We present a solution for the first issue using a data-driven surrogate model in the form of a convolutional LSTM with actuation. We demonstrate that learning an actuated model in parallel to training the RL agent significantly reduces the total amount of required data sampled from the real system. Furthermore, we show that iteratively updating the model is of major importance to avoid biases in the RL training. Detailed ablation studies reveal the most important ingredients of the modeling process. We use the chaotic Kuramoto-Sivashinsky equation do demonstarte our findings.}}, author = {{Werner, Stefan and Peitz, Sebastian}}, booktitle = {{arXiv:2302.07160}}, title = {{{Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs}}}, year = {{2023}}, } @article{27426, abstract = {{Regularization is used in many different areas of optimization when solutions are sought which not only minimize a given function, but also possess a certain degree of regularity. Popular applications are image denoising, sparse regression and machine learning. Since the choice of the regularization parameter is crucial but often difficult, path-following methods are used to approximate the entire regularization path, i.e., the set of all possible solutions for all regularization parameters. Due to their nature, the development of these methods requires structural results about the regularization path. The goal of this article is to derive these results for the case of a smooth objective function which is penalized by a piecewise differentiable regularization term. We do this by treating regularization as a multiobjective optimization problem. Our results suggest that even in this general case, the regularization path is piecewise smooth. Moreover, our theory allows for a classification of the nonsmooth features that occur in between smooth parts. This is demonstrated in two applications, namely support-vector machines and exact penalty methods.}}, author = {{Gebken, Bennet and Bieker, Katharina and Peitz, Sebastian}}, journal = {{Journal of Global Optimization}}, number = {{3}}, pages = {{709--741}}, title = {{{On the structure of regularization paths for piecewise differentiable regularization terms}}}, doi = {{10.1007/s10898-022-01223-2}}, volume = {{85}}, year = {{2023}}, }