@inproceedings{35550, author = {{Bondarenko, Alexander and Wolska, Magdalena and Heindorf, Stefan and Blübaum, Lukas and Ngonga Ngomo, Axel-Cyrille and Stein, Benno and Braslavski, Pavel and Hagen, Matthias and Potthast, Martin}}, booktitle = {{Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022}}, editor = {{Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky, James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and Donatelli, Lucia and Ji, Heng and Kurohashi, Sadao and Paggio, Patrizia and Xue, Nianwen and Kim, Seokhwan and Hahm, Younggyun and He, Zhong and Lee, Tony Kyungil and Santus, Enrico and Bond, Francis and Na, Seung-Hoon}}, pages = {{3296–3308}}, publisher = {{International Committee on Computational Linguistics}}, title = {{{CausalQA: A Benchmark for Causal Question Answering}}}, year = {{2022}}, } @article{35553, author = {{Hogan, Aidan and Blomqvist, Eva and Cochez, Michael and d’Amato, Claudia and de Melo, Gerard and Gutierrez, Claudio and Kirrane, Sabrina and Gayo, José Emilio Labra and Navigli, Roberto and Neumaier, Sebastian and Ngonga Ngomo, Axel-Cyrille and Polleres, Axel and Rashid, Sabbir M. and Rula, Anisa and Schmelzeisen, Lukas and Sequeda, Juan F. and Staab, Steffen and Zimmermann, Antoine}}, journal = {{ACM Comput. Surv.}}, number = {{4}}, pages = {{71:1–71:37}}, title = {{{Knowledge Graphs}}}, doi = {{10.1145/3447772}}, volume = {{54}}, year = {{2022}}, } @article{35551, author = {{Ali, Waqas and Saleem, Muhammad and Yao, Bin and Hogan, Aidan and Ngonga Ngomo, Axel-Cyrille}}, journal = {{VLDB J.}}, number = {{3}}, pages = {{1–26}}, title = {{{A survey of RDF stores & SPARQL engines for querying knowledge graphs}}}, doi = {{10.1007/s00778-021-00711-3}}, volume = {{31}}, year = {{2022}}, } @article{35552, author = {{Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}}, journal = {{Softw. Impacts}}, pages = {{100377}}, title = {{{Hardware-agnostic computation for large-scale knowledge graph embeddings}}}, doi = {{10.1016/j.simpa.2022.100377}}, volume = {{13}}, year = {{2022}}, } @inproceedings{35570, author = {{Tjell, Katrine and Schluter, Nils and Binfet, Philipp and Schulze Darup, Moritz }}, booktitle = {{2021 60th IEEE Conference on Decision and Control (CDC)}}, publisher = {{IEEE}}, title = {{{Secure learning-based MPC via garbled circuit}}}, doi = {{10.1109/cdc45484.2021.9683540}}, year = {{2022}}, } @inproceedings{35573, author = {{Schluter, Nils and Neuhaus, Matthias and Schulze Darup, Moritz}}, booktitle = {{2021 European Control Conference (ECC)}}, publisher = {{IEEE}}, title = {{{Encrypted dynamic control with unlimited operating time via FIR filters}}}, doi = {{10.23919/ecc54610.2021.9655161}}, year = {{2022}}, } @inproceedings{35569, author = {{Teichrib, Dieter and Schulze Darup, Moritz}}, booktitle = {{2021 60th IEEE Conference on Decision and Control (CDC)}}, publisher = {{IEEE}}, title = {{{Tailored neural networks for learning optimal value functions in MPC}}}, doi = {{10.1109/cdc45484.2021.9683528}}, year = {{2022}}, } @article{35586, author = {{Protte, Marius and Fahr, Rene and Quevedo, Daniel E.}}, issn = {{1066-033X}}, journal = {{IEEE Control Systems}}, keywords = {{Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering, Electrical and Electronic Engineering, Modeling and Simulation, Control and Systems Engineering}}, number = {{6}}, pages = {{57--76}}, publisher = {{Institute of Electrical and Electronics Engineers (IEEE)}}, title = {{{Behavioral Economics for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand Fallacy}}}, doi = {{10.1109/mcs.2020.3019723}}, volume = {{40}}, year = {{2022}}, } @phdthesis{31851, abstract = {{Der Förderung von Reflexionskompetenz wird für die Professionalisierung angehender Lehrkräfte eine hohe Bedeutung für die Relationierung zwischen Theorie und Praxis zugeschrieben. In dieser Arbeit wird den übergeordneten Fragestellungen nachgegangen, inwiefern es Lehramtsstudierenden durch Reflexionsgelegenheiten im Studium gelingt, ihr theoretisches Wissen mit praktischen Erfahrungen in Beziehung zu setzen und in welchem Zusammenhang die Reflexionskompetenz zu bestimmten Fördermaßnahmen (Portfolioarbeit) und Settings (Microteaching) sowie zu anderen Facetten professioneller Handlungskompetenz (Professionswissen, Einstellungen, Motivation) steht. Auf Basis einer kompetenztheoretischen Modellierung von Reflexion wurde hierzu die Reflexionsperformanz von Lehramtsstudierenden erfasst, um Rückschlüsse auf reflexionsbezogene Denkprozesse ziehen zu können. Die Auswertungen erfolgten qualitativ inhaltsanalytisch und wurden an teilweise quantifiziert, um statistische Analysen durchführen zu können. Insgesamt zeigen die Befunde der drei Teilstudien, dass die Reflexionsperformanz insbesondere dann von höherer Qualität ist, wenn theoretische Inhalte explizit mit praktischen Erfahrungen relationiert werden. Positive Einstellungen gegenüber Reflexion unterstützen die Reflexionsperformanz. Das bildungswissenschaftliche Professionswissen der Studierenden kann darüber hinaus Unterschiede in der Reflexionsperformanz erklären.}}, author = {{Meier, Jana}}, publisher = {{Universität Paderborn}}, title = {{{„LauRa - In der Lehramtsausbildung Reflexionskompetenz analysieren“. Untersuchungen zum Verhältnis von Theorie, Praxis und Reflexion im Rahmen der Professionalisierung angehender Lehrpersonen.}}}, doi = {{10.17619/UNIPB/1-1274}}, year = {{2022}}, } @article{35581, author = {{Meier, Jana and Vogelsang, Christoph and Watson, Christina and Schaper, Niclas}}, journal = {{Lehrerbildung auf dem Prüfstand}}, number = {{1}}, pages = {{39--58}}, title = {{{„Reflexion ist erzwungenes Nachdenken“ – Zusammenhänge zwischen dem Reflexionsverständnis Lehramtsstudierender & Facetten ihrer Reflexionskompetenz. }}}, volume = {{15}}, year = {{2022}}, } @inproceedings{35591, author = {{Meier, Jana and Küth, Simon and Scholl, Daniel and Vogelsang, Christoph and Watson, Christina}}, location = {{Freie Universität Berlin & Universität Potsdam}}, title = {{{Der Zyklus von Planung und Reflexion – Zusammenhänge zwischen der generischen Unterrichtsplanungsfähigkeit und der Reflexionskompetenz angehender Lehrkräfte.}}}, year = {{2022}}, } @inproceedings{35594, author = {{Meier, Jana and Vogelsang, Christoph}}, location = {{Hildesheim}}, title = {{{Erfassung der Reflexionskompetenz angehender Lehrpersonen mittels (offener) Situationsvignetten. }}}, year = {{2022}}, } @inproceedings{35596, author = {{Watson, Christina and Meier, Jana and Küth, Simon and Scholl, Daniel and Seifert, Andreas and Vogelsang, Christoph}}, location = {{Hildesheim}}, title = {{{Validierung von Testinstrumenten durch Testmotivationsindikatoren.}}}, year = {{2022}}, } @article{35539, author = {{Lehmann, Tim and Visser, Anton and Havers, Tim and Büchel, Daniel and Baumeister, Jochen}}, issn = {{1530-0315}}, journal = {{Medicine &Science in Sports& Exercise}}, keywords = {{Physical Therapy, Sports Therapy and Rehabilitation, Orthopedics and Sports Medicine}}, number = {{9S}}, pages = {{565--565}}, publisher = {{Ovid Technologies (Wolters Kluwer Health)}}, title = {{{Surface Instability Modulates Cortical Information Processing In Multi-Joint Compound Movements}}}, doi = {{10.1249/01.mss.0000882152.12078.64}}, volume = {{54}}, year = {{2022}}, } @article{34817, author = {{Hanusch, Maximilian}}, issn = {{1019-8385}}, journal = {{Communications in Analysis and Geometry}}, keywords = {{regularity of Lie groups}}, number = {{1}}, pages = {{53--152}}, publisher = {{International Press of Boston}}, title = {{{Regularity of Lie groups}}}, doi = {{10.4310/cag.2022.v30.n1.a2}}, volume = {{30}}, year = {{2022}}, } @techreport{34856, author = {{Hanusch, Maximilian}}, pages = {{385}}, publisher = {{https://maximilianhanusch.wixsite.com/my-site/lehre-teaching}}, title = {{{Analysis 1 und 2 Skript/Buch}}}, year = {{2022}}, } @article{35620, abstract = {{Deep learning models fuel many modern decision support systems, because they typically provide high predictive performance. Among other domains, deep learning is used in real-estate appraisal, where it allows to extend the analysis from hard facts only (e.g., size, age) to also consider more implicit information about the location or appearance of houses in the form of image data. However, one downside of deep learning models is their intransparent mechanic of decision making, which leads to a trade-off between accuracy and interpretability. This limits their applicability for tasks where a justification of the decision is necessary. Therefore, in this paper, we first combine different perspectives on interpretability into a multi-dimensional framework for a socio-technical perspective on explainable artificial intelligence. Second, we measure the performance gains of using multi-view deep learning which leverages additional image data (satellite images) for real estate appraisal. Third, we propose and test a novel post-hoc explainability method called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency of convolutional neural networks (CNNs) for predicting continuous outcome variables. With this, we try to reduce the accuracy-interpretability trade-off of multi-view deep learning models. Our proposed network architecture outperforms traditional hedonic regression models by 34% in terms of MAE. Furthermore, we find that the used satellite images are the second most important predictor after square feet in our model and that the network learns interpretable patterns about the neighborhood structure and density.}}, author = {{Kucklick, Jan-Peter and Müller, Oliver}}, issn = {{2158-656X}}, journal = {{ACM Transactions on Management Information Systems}}, keywords = {{Interpretability, Convolutional Neural Network, Accuracy-Interpretability Trade-Of, Real Estate Appraisal, Hedonic Pricing, Grad-Ram}}, publisher = {{Association for Computing Machinery (ACM)}}, title = {{{Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal}}}, doi = {{10.1145/3567430}}, year = {{2022}}, } @article{35623, author = {{Gokeler, Alli and Grassi, Alberto and Hoogeslag, Roy and van Houten, Albert and Lehmann, Tim and Bolling, Caroline and Buckthorpe, Matthew and Norte, Grant and Benjaminse, Anne and Heuvelmans, Pieter and Di Paolo, Stefano and Tak, Igor and Villa, Francesco Della}}, issn = {{2197-1153}}, journal = {{Journal of Experimental Orthopaedics}}, keywords = {{Orthopedics and Sports Medicine}}, number = {{1}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{Correction: Return to sports after ACL injury 5 years from now: 10 things we must do}}}, doi = {{10.1186/s40634-022-00548-x}}, volume = {{9}}, year = {{2022}}, } @article{35622, author = {{Scharfen, Hans-Erik and Lehmann, Tim and Büchel, Daniel and Baumeister, Jochen}}, issn = {{1469-0292}}, journal = {{Psychology of Sport and Exercise}}, keywords = {{Applied Psychology}}, publisher = {{Elsevier BV}}, title = {{{Cortical responses to sport-specific stimuli in a standing stop signal task}}}, doi = {{10.1016/j.psychsport.2022.102250}}, volume = {{63}}, year = {{2022}}, } @article{35642, abstract = {{There is an increasing interest in sensing applications for a variety of analytes in aqueous environments, as conventional methods do not work reliably under humid conditions or they require complex equipment with experienced operators. Hydrogel sensors are easy to fabricate, are incredibly sensitive, and have broad dynamic ranges. Experiments on their robustness, reliability, and reusability have indicated the possible long-term applications of these systems in a variety of fields, including disease diagnosis, detection of pharmaceuticals, and in environmental testing. It is possible to produce hydrogels, which, upon sensing a specific analyte, can adsorb it onto their 3D-structure and can therefore be used to remove them from a given environment. High specificity can be obtained by using molecularly imprinted polymers. Typical detection principles involve optical methods including fluorescence and chemiluminescence, and volume changes in colloidal photonic crystals, as well as electrochemical methods. Here, we explore the current research utilizing hydrogel-based sensors in three main areas: (1) biomedical applications, (2) for detecting and quantifying pharmaceuticals of interest, and (3) detecting and quantifying environmental contaminants in aqueous environments.}}, author = {{Völlmecke, Katharina and Afroz, Rowshon and Bierbach, Sascha and Brenker, Lee Josephine and Frücht, Sebastian and Glass, Alexandra and Giebelhaus, Ryland and Hoppe, Axel and Kanemaru, Karen and Lazarek, Michal and Rabbe, Lukas and Song, Longfei and Velasco Suarez, Andrea and Wu, Shuang and Serpe, Michael and Kuckling, Dirk}}, issn = {{2310-2861}}, journal = {{Gels}}, keywords = {{Polymers and Plastics, Organic Chemistry, Biomaterials, Bioengineering}}, number = {{12}}, publisher = {{MDPI AG}}, title = {{{Hydrogel-Based Biosensors}}}, doi = {{10.3390/gels8120768}}, volume = {{8}}, year = {{2022}}, }