@article{51385, author = {{Hilgert, Joachim and Weich, Tobias and Bux, K.-U.}}, journal = {{J. of Spectral Theory}}, pages = {{659--681}}, title = {{{Poisson transforms for trees of bounded degree}}}, volume = {{12}}, year = {{2022}}, } @inproceedings{26389, abstract = {{Within this work, we investigate how data-driven numerical approximation methods of the Koopman operator can be used in practical control engineering applications. We refer to the method Extended Dynamic Mode Decomposition (EDMD), which approximates a nonlinear dynamical system as a linear model. This makes the method ideal for control engineering applications, because a linear system description is often assumed for this purpose. Using academic examples, we simulatively analyze the prediction performance of the learned EDMD models and show how relevant system properties like stability, controllability, and observability are reflected by the EDMD model, which is a critical requirement for a successful control design process. Subsequently, we present our experimental results on a mechatronic test bench and evaluate the applicability to the control engineering design process. As a result, the investigated methods are suitable as a low-effort alternative for the design steps of model building and adaptation in the classical model-based controller design method.}}, author = {{Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022)}}, isbn = {{978-1-6654-5946-4}}, keywords = {{Koopman Operator, Nonlinear Control, Extended Dynamic Mode Decomposition, Hybrid Modelling}}, location = {{Cairo, Egypt}}, pages = {{1--9}}, title = {{{Data-Driven Models for Control Engineering Applications Using the Koopman Operator}}}, doi = {{10.1109/AIRC56195.2022.9836980}}, year = {{2022}}, } @inproceedings{34011, author = {{Junker, Annika and Fittkau, Niklas and Timmermann, Julia and Trächtler, Ansgar}}, booktitle = {{Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022}}, location = {{Berlin, Germany}}, pages = {{119--124}}, title = {{{Autonomes Putten mittels datengetriebener und physikbasierter Methoden}}}, doi = {{10.5445/KSP/1000151141}}, year = {{2022}}, } @article{50071, author = {{Junker, Annika and Timmermann, Julia and Trächtler, Ansgar}}, issn = {{2405-8963}}, journal = {{IFAC-PapersOnLine}}, keywords = {{Control and Systems Engineering}}, number = {{12}}, pages = {{389--394}}, publisher = {{Elsevier BV}}, title = {{{Learning Data-Driven PCHD Models for Control Engineering Applications*}}}, doi = {{10.1016/j.ifacol.2022.07.343}}, volume = {{55}}, year = {{2022}}, } @article{60726, author = {{Bauer, A and Glück, C.W and Jonas, Kristina and Mayer, A and Sallat, S and Stitzinger, U}}, journal = {{Praxis Sprache}}, number = {{4}}, pages = {{229--233}}, title = {{{Kernkompetenzen für das Studium der Pädagogik im sonderpädagogischen Förderschwerpunkt Sprache und Kommunikation}}}, volume = {{67}}, year = {{2022}}, } @book{65277, editor = {{Droß-Krüpe, Kerstin and Reinard, Patrick and Ruffing, Kai and Deglau, Claudia}}, title = {{{Volker Losemann - Antike und Nationalsozialismus. Gesammelte Schriften zur Wissenschafts- und Rezeptionsgeschichte II}}}, volume = {{160}}, year = {{2022}}, } @book{65278, editor = {{Droß-Krüpe, Kerstin and Ruffing, Kai}}, title = {{{Markt, Märkte und Marktgebäude in der antiken Welt}}}, volume = {{100}}, year = {{2022}}, } @article{53788, abstract = {{Globally, an unbalanced diet causes more deaths than any other factor. Due to a lack of knowledge, it is difficult for consumers to select healthy foods at the point of sale. Although different front-of-pack labeling schemes exist, their informative value is limited due to small sets of considered parameters and lacking information on ingredient composition. We developed and evalauated a manufacture-independent approach to quantify ingredient composition of 294 ready-to eat salads (distinguished into 73 subgroups) as test set. Nutritional quality was assessed by the nutriRECIPE-Index and compared to the Nutri-Score. The nutriRECIPE-Index comprises the calculation of energy-adjusted nutrient density of 16 desirable and three undesirable nutrients, which are weighted according to their degree of supply in the population. We show that the nutriRECIPE-Index has stronger discriminatory power compared to the Nutri-Score and discriminates as well or even better in 63 out of the 73 subgroups. This was evident in groups where seemingly similar products were compared, e.g., potato salads (Nutri-Score: C only, nutriRECIPE-Index: B, C and D). Moreover, the nutriRECIPE-Index is adjustable to any target population’s specific needs and supply situation, such as seniors, and children. Hence, a more sophisticated distinction between single food products is possible using the nutriRECIPE-Index.}}, author = {{Schlarbaum, Laura and Forner, Frank and Bohn, Kristin and Amberg, Michael and Mäder, Patrick and Lorkowski, Stefan and Meier, Toni}}, issn = {{2304-8158}}, journal = {{Foods}}, number = {{24}}, publisher = {{MDPI AG}}, title = {{{Nutritional Assessment of Ready-to-Eat Salads in German Supermarkets: Comparison of the nutriRECIPE-Index and the Nutri-Score}}}, doi = {{10.3390/foods11244011}}, volume = {{11}}, year = {{2022}}, } @article{21405, abstract = {{Previous accounting research shows that taxes affect decision making by individuals and firms. Most studies assume that agents have an accurate perception regarding their tax burden. However, there is a growing body of literature analyzing whether taxes are indeed perceived correctly. We review 128 studies on the measurement of tax misperception and its behavioral implications. The review reveals that many taxpayers have substantial tax misperceptions that lead to biased decision making. We develop a Behavioral Taxpayer Response Model on the impact of provided tax information on tax perception. Besides individual traits, characteristics of the tax information and the decision environment determine the extent of tax misperception. We discuss opportunities for future research and methodological limitations. While there is much evidence on tax misperception at the individual level, we hardly find any research at the firm level. Little is known about the real effects of managers’ tax misperception and on how tax information is strategically managed to impact stakeholders. This research gap is surprising as a large part of the accounting literature analyzes decision making and disclosure of firms. We recommend a mixed-method approach combining experiments, surveys, and archival data analyses to improve the knowledge on tax misperception and its consequences.}}, author = {{Blaufus, Kay and Chirvi, Malte and Huber, Hans-Peter and Maiterth, Ralf and Sureth-Sloane, Caren}}, journal = {{European Accounting Review}}, number = {{1}}, pages = {{111--144}}, title = {{{Tax Misperception and Its Effects on Decision Making - Literature Review and Behavioral Taxpayer Response Model}}}, doi = {{10.1080/09638180.2020.1852095}}, volume = {{31}}, year = {{2022}}, } @article{29049, abstract = {{This study investigates the conditions under which tax rate changes accelerate risky investments. While tax rate increases are often expected to harm investment, analytical studies find tax rate increases may foster investment under flexibility.We design a theorybased experimentwith a binomial random walk and entry–exit flexibility.We find accelerated investment upon tax rate increases irrespective of an exit option, but no corresponding response to tax cuts. This asymmetry may be due to tax salience and mechanisms from irreversible choice under uncertainty. Given this evidence of unexpected tax-reform effects, tax policymakers should carefully consider behavioral aspects.}}, author = {{Fahr, René and Janssen, Elmar A. and Sureth-Sloane, Caren}}, journal = {{FinanzArchiv / European Journal of Public Finance}}, keywords = {{Economic ExperimentM, Investment Decisions, Tax Effects, Timing Flexibility, Uncertainty}}, number = {{1-2}}, pages = {{239--289}}, title = {{{Can Tax Rate Changes Accelerate Investment under Entry and Exit Flexibility? – Insights from an Economic Experiment}}}, volume = {{78}}, year = {{2022}}, } @article{29048, abstract = {{We study the bargaining behavior between auditor and auditee in a tax setting and scrutinize the effect of interpersonal trust and trust in government on both parties’ concessions. We find evidence that both kinds of trust affect the concessionary behavior, albeit in different ways. While trust in government affects concessionary behavior in line with intuitive predictions, we find that interpersonal trust only affects tax auditors. For high interpersonal trust, the alleviating effect of high trust in government on tax auditors’ concessions is less pronounced. Our findings help tax authorities to shape programs to enhance compliance in an atmosphere of trust.}}, author = {{Eberhartinger, Eva and Speitmann, Raffael and Sureth-Sloane, Caren and Wu, Yuchen}}, journal = {{FinanzArchiv / European Journal of Public Finance}}, keywords = {{Behavioral Taxation, Concessionary Behavior, Interpersonal Trust, Tax Audit, Trust in Government}}, number = {{1-2}}, pages = {{112--155}}, title = {{{How Does Trust Affect Concessionary Behavior in Tax Bargaining?}}}, volume = {{78}}, year = {{2022}}, } @article{24721, author = {{Fathi Ahmed, Abdullah and Ahmed Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, journal = {{Data Knowl. Eng.}}, pages = {{101874}}, title = {{{Multilingual Verbalization and Summarization for Explainable Link Discovery}}}, doi = {{10.1016/j.datak.2021.101874}}, volume = {{133}}, year = {{2021}}, } @inproceedings{24722, author = {{Röder, Michael and Frerk, Philip and Conrads, Felix and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{The Semantic Web - 18th International Conference, {ESWC} 2021, Virtual Event, June 6-10, 2021, Proceedings}}, editor = {{Verborgh, Ruben and Hose, Katja and Paulheim, Heiko and Champin, Pierre-Antoine and Maleshkova, Maria and Corcho, Oscar and Ristoski, Petar and Alam, Mehwish}}, pages = {{93--108}}, publisher = {{Springer}}, title = {{{Applying Grammar-Based Compression to RDF}}}, doi = {{10.1007/978-3-030-77385-4\_6}}, volume = {{12731}}, year = {{2021}}, } @inproceedings{24723, author = {{Ali, Manzoor and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers}}, editor = {{Verborgh, Ruben and Dimou, Anastasia and Hogan, Aidan and d'Amato, Claudia and Tiddi, Ilaria and Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo and Alam, Mehwish}}, pages = {{136--140}}, publisher = {{Springer}}, title = {{{Unsupervised Relation Extraction Using Sentence Encoding}}}, doi = {{10.1007/978-3-030-80418-3\_25}}, volume = {{12739}}, year = {{2021}}, } @inproceedings{24724, author = {{Ali, Manzoor and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{The Semantic Web: {ESWC} 2021 Satellite Events - Virtual Event, June 6-10, 2021, Revised Selected Papers}}, editor = {{Verborgh, Ruben and Dimou, Anastasia and Hogan, Aidan and d'Amato, Claudia and Tiddi, Ilaria and Br{\"{o}}ring, Arne and Maier, Simon and Ongenae, Femke and Tommasini, Riccardo and Alam, Mehwish}}, pages = {{136--140}}, publisher = {{Springer}}, title = {{{Unsupervised Relation Extraction Using Sentence Encoding}}}, doi = {{10.1007/978-3-030-80418-3\_25}}, volume = {{12739}}, year = {{2021}}, } @inproceedings{24725, author = {{Shahzad, Moemmur and Amin, Ayesha and Esteves, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 17-19, 2021}}, editor = {{Bell, Eric and Keshtkar, Fazel}}, title = {{{InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs}}}, doi = {{10.32473/flairs.v34i1.128538}}, year = {{2021}}, } @inproceedings{24726, author = {{Röder, Michael and Thuy Sy Nguyen, Pham and Conrads, Felix and Alexandra Morim da Silva, Ana and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}}, pages = {{62--69}}, publisher = {{{IEEE}}}, title = {{{Lemming - Example-based Mimicking of Knowledge Graphs}}}, doi = {{10.1109/ICSC50631.2021.00015}}, year = {{2021}}, } @inproceedings{24727, author = {{Amer Desouki, Abdelmoneim and Conrads, Felix and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}}, pages = {{76--79}}, publisher = {{{IEEE}}}, title = {{{SYNTHG: Mimicking RDF Graphs Using Tensor Factorization}}}, doi = {{10.1109/ICSC50631.2021.00017}}, year = {{2021}}, } @inproceedings{24728, author = {{Demir, Caglar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}}, booktitle = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}}, pages = {{179--182}}, publisher = {{{IEEE}}}, title = {{{A shallow neural model for relation prediction}}}, doi = {{10.1109/ICSC50631.2021.00038}}, year = {{2021}}, } @inproceedings{24729, author = {{G. Athreya, Ram and Kona Bansal, Srividya and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}}, booktitle = {{15th {IEEE} International Conference on Semantic Computing, {ICSC} 2021, Laguna Hills, CA, USA, January 27-29, 2021}}, pages = {{195--198}}, publisher = {{{IEEE}}}, title = {{{Template-based Question Answering using Recursive Neural Networks}}}, doi = {{10.1109/ICSC50631.2021.00041}}, year = {{2021}}, }