@proceedings{60766,
  editor       = {{Rubi-Fessen, I and Jonas, Kristina and Hüsgen, A and Gerhards, L and Rosenkranz, A and Stenneken, P}},
  number       = {{12}},
  pages        = {{e112--e113}},
  title        = {{{Characteristics of language and communication after subcortical lesions in the left and right  hemisphere}}},
  doi          = {{https://doi.org/10.1016/j.apmr.2022.08.730  }},
  volume       = {{103}},
  year         = {{2022}},
}

@proceedings{60767,
  editor       = {{Keil, P and Nettekoven, C and Jonas, Kristina and Lichtenstein, T and Goldbrunner, R and Weiß-Lucas, C}},
  title        = {{{Determining language function lateralisation using clustered-sparse acquisition fMRI}}},
  doi          = {{https://doi.org/10.3205/22DGNC475 }},
  year         = {{2022}},
}

@article{52612,
  abstract     = {{<jats:p>During resistance spot welding of zinc-coated advanced high-strength steels (AHSSs) for automotive production, liquid metal embrittlement (LME) cracking may occur in the event of a combination of various unfavorable influences. In this study, the interactions of different welding current levels and weld times on the tendency for LME cracking in third-generation AHSSs were investigated. LME manifested itself as high-penetration cracks around the circumference of the spot welds for welding currents closely below the expulsion limit. At the same time, the observed tendency for LME cracking showed no direct correlation with the overall heat input of the investigated welding processes. To identify a reliable indicator of the tendency for LME cracking, the local strain rate at the origin of the observed cracks was analyzed over the course of the welding process via finite element simulation. While the local strain rate showed a good correlation with the process-specific LME cracking tendency, it was difficult to interpret due to its discontinuous course. Therefore, based on the experimental measurement of electrode displacement during welding, electrode indentation velocity was proposed as a descriptive indicator for quantifying cracking tendency.</jats:p>}},
  author       = {{Böhne, Christoph and Meschut, Gerson and BIEGLER, MAX and RETHMEIER, MICHAEL}},
  issn         = {{0043-2296}},
  journal      = {{Welding Journal}},
  keywords     = {{Metals and Alloys, Mechanical Engineering, Mechanics of Materials}},
  number       = {{7}},
  pages        = {{197--207}},
  publisher    = {{American Welding Society}},
  title        = {{{The Influence of Electrode Indentation Rate on LME Formation during RSW}}},
  doi          = {{10.29391/2022.101.015}},
  volume       = {{101}},
  year         = {{2022}},
}

@article{60900,
  abstract     = {{<jats:p>Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of tools and strategies to efficiently find these regions of high importance to advance brain research. Exploring the high dimensional parameter space using numerical simulations has been a frequently used technique in the last years in many areas of computational neuroscience. Today, high performance computing (HPC) can provide a powerful infrastructure to speed up explorations and increase our general understanding of the behavior of the model in reasonable times. Learning to learn (L2L) is a well-known concept in machine learning (ML) and a specific method for acquiring constraints to improve learning performance. This concept can be decomposed into a two loop optimization process where the target of optimization can consist of any program such as an artificial neural network, a spiking network, a single cell model, or a whole brain simulation. In this work, we present L2L as an easy to use and flexible framework to perform parameter and hyper-parameter space exploration of neuroscience models on HPC infrastructure. Learning to learn is an implementation of the L2L concept written in Python. This open-source software allows several instances of an optimization target to be executed with different parameters in an embarrassingly parallel fashion on HPC. L2L provides a set of built-in optimizer algorithms, which make adaptive and efficient exploration of parameter spaces possible. Different from other optimization toolboxes, L2L provides maximum flexibility for the way the optimization target can be executed. In this paper, we show a variety of examples of neuroscience models being optimized within the L2L framework to execute different types of tasks. The tasks used to illustrate the concept go from reproducing empirical data to learning how to solve a problem in a dynamic environment. We particularly focus on simulations with models ranging from the single cell to the whole brain and using a variety of simulation engines like NEST, Arbor, TVB, OpenAIGym, and NetLogo.</jats:p>}},
  author       = {{Yegenoglu, Alper and Subramoney, Anand and Hater, Thorsten and Jimenez-Romero, Cristian and Klijn, Wouter and Pérez Martín, Aarón and van der Vlag, Michiel and Herty, Michael and Morrison, Abigail and Diaz-Pier, Sandra}},
  issn         = {{1662-5188}},
  journal      = {{Frontiers in Computational Neuroscience}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn}}},
  doi          = {{10.3389/fncom.2022.885207}},
  volume       = {{16}},
  year         = {{2022}},
}

@article{35143,
  author       = {{Bonanati, Sabrina and Buhl, Heike M. and Gerhardts, Lara and Kamin, Anna-Maria and Meister, Dorothee}},
  journal      = {{Medienimpulse}},
  number       = {{4}},
  title        = {{{Digitale häusliche Lernumgebung: Prädiktoren und Effekte elterlicher Unterstützung beim Lernen mit digitalen Medien}}},
  doi          = {{10.21243/mi-04-22-17}},
  volume       = {{60}},
  year         = {{2022}},
}

@article{41482,
  author       = {{Hilkenmeier, Johanna and Greiner, Christian and Bonanati, Sabrina and Buhl, Heike M.}},
  journal      = {{Journal für LehrerInnenbildung}},
  number       = {{2}},
  pages        = {{40 -- 51}},
  title        = {{{Förderung von motivierenden Gesprächsstrategien im Elterngespräch. Workshop für Lehrkräfte und Studierende}}},
  volume       = {{22}},
  year         = {{2022}},
}

@inproceedings{32875,
  author       = {{Ostermann, Moritz and Behm, Jonathan and Marten, Thorsten and Tröster, Thomas and Weyer, Johannes and Cepera, Kay and Adelt, Fabian}},
  booktitle    = {{14. Wissenschaftsforum Mobilität}},
  location     = {{Duisburg}},
  title        = {{{Individualisierung des ÖPNV - Integration technischer und sozialer Dimensionen nachhaltiger Mobilität}}},
  year         = {{2022}},
}

@misc{58584,
  author       = {{Bergmann, Claudia Dorit}},
  booktitle    = {{Journal for the Study of Judaism}},
  number       = {{2}},
  title        = {{{Rezension zu: „Essen im antiken Judentum und Urchristentum: Diskurse zur sozialen Bedeutung von Tischgemeinschaft, Speiseverboten und Reinheitsvorschriften” }}},
  volume       = {{53}},
  year         = {{2022}},
}

@inbook{41293,
  author       = {{Flath, Beate}},
  booktitle    = {{Druckwellen. Eskalationskulturen und Kultureskalationen in Pop, Gesellschaft und Politik }},
  editor       = {{Flath, Beate  and Heinrich, Ina  and Jacke , Christoph  and Klingmann, Heinrich and Momen Pour Tafreshi, Maryam }},
  pages        = {{83--96}},
  publisher    = {{transcript }},
  title        = {{{Transdisziplinäre Eventforschung als Möglichkeitswissenschaft. Überlegungen zum Vermittlungs- und Moderationspotential von Events}}},
  year         = {{2022}},
}

@inbook{58750,
  author       = {{Harmening, Anda-Lisa and Leinfellner, Stefanie and Meier, Rebecca}},
  booktitle    = {{Wissenstransfer. Aufgabe, Herausforderung und Chance kulturwissenschaftlicher Forschung}},
  editor       = {{Harmening, Anda-Lisa and Leinfellner, Stefanie and Meier, Rebecca}},
  isbn         = {{978-3-534-27585-4}},
  pages        = {{11 -- 48}},
  publisher    = {{Herder}},
  title        = {{{Wissenstransfer aus kulturwissenschaftlicher Perspektive. Konturen, Konzepte und Grenzen der Transferidee}}},
  volume       = {{1}},
  year         = {{2022}},
}

@inbook{58751,
  author       = {{Harmening, Anda-Lisa and Leinfellner, Stefanie and Meier, Rebecca}},
  booktitle    = {{Wissenstransfer. Aufgabe, Herausforderung und Chance kulturwissenschaftlicher Forschung}},
  editor       = {{Harmening, Anda-Lisa and Leinfellner, Stefanie and Meier, Rebecca}},
  isbn         = {{978-3-534-27585-4}},
  pages        = {{7 -- 9}},
  publisher    = {{Herder}},
  title        = {{{Einleitung}}},
  volume       = {{1}},
  year         = {{2022}},
}

@misc{61094,
  author       = {{Eke, Norbert}},
  booktitle    = {{Zeitschrift für deutsche Philologie }},
  number       = {{H. 1}},
  pages        = {{631--633}},
  publisher    = {{Jüdischer Verlag}},
  title        = {{{[zu:] Louis Ginzberg: Die Legenden der Juden. Hg. von Andreas Kilcher und Joanna Nowotny. }}},
  volume       = {{142}},
  year         = {{2022}},
}

@book{31690,
  editor       = {{Haacke-Werron, Stefanie and Karsten, Andrea and Scharlau, Ingrid}},
  publisher    = {{wbv}},
  title        = {{{Reflexive Schreibwissenschaft. Disziplinäre und praktische Perspektiven}}},
  year         = {{2022}},
}

@article{61167,
  author       = {{Aschebrock, Kathrin}},
  issn         = {{2730-7212}},
  journal      = {{Forum Kinder- und Jugendsport}},
  number       = {{2}},
  pages        = {{150--153}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Gedankensprung unterstützt exekutive Funktionen}}},
  doi          = {{10.1007/s43594-022-00081-w}},
  volume       = {{3}},
  year         = {{2022}},
}

@inproceedings{32509,
  abstract     = {{ We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have been proposed in the recent literature, of
which each is subject to partially overlapping limitations. In particular, current text-based approaches are limited by manual feature engineering. Path-based and rule-based approaches are limited by their exclusive use of knowledge graphs as background knowledge, and embedding-based approaches suffer from low accuracy scores on current fact-checking tasks. We propose a hybrid approach—dubbed HybridFC—that exploits the diversity of existing categories of fact-checking approaches within an ensemble learning setting to achieve a significantly better prediction performance. In particular, our approach outperforms the state of the art by 0.14 to 0.27 in terms of Area Under the Receiver Operating Characteristic curve on the FactBench dataset. Our code is open-source and can be found at https://github.com/dice-group/HybridFC.}},
  author       = {{Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}},
  booktitle    = {{The Semantic Web -- ISWC 2022}},
  editor       = {{Sattler, Ulrike and Hogan, Aidan and Keet, Maria and Presutti, Valentina}},
  isbn         = {{978-3-031-19433-7}},
  keywords     = {{fact checking · ensemble learning · knowledge graph veracit}},
  location     = {{Hanghzou, China}},
  pages        = {{462----480}},
  publisher    = {{Springer International Publishing}},
  title        = {{{HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs}}},
  doi          = {{10.1007/978-3-031-19433-7_27}},
  year         = {{2022}},
}

@article{51342,
  abstract     = {{Intelligent agents interacting with humans through conversation (such as a robot, embodied conversational agent, or chatbot) need to receive feedback from the human to make sure that its communicative acts have the intended consequences. At the same time, the human interacting with the agent will also seek feedback, in order to ensure that her communicative acts have the intended consequences. In this review article, we give an overview of past and current research on how intelligent agents should be able to both give meaningful feedback toward humans, as well as understanding feedback given by the users. The review covers feedback across different modalities (e.g., speech, head gestures, gaze, and facial expression), different forms of feedback (e.g., backchannels, clarification requests), and models for allowing the agent to assess the user's level of understanding and adapt its behavior accordingly. Finally, we analyse some shortcomings of current approaches to modeling feedback, and identify important directions for future research.}},
  author       = {{Axelsson, Agnes and Buschmeier, Hendrik and Skantze, Gabriel}},
  issn         = {{2624-9898}},
  journal      = {{Frontiers in Computer Science}},
  keywords     = {{General Medicine}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Modeling Feedback in Interaction With Conversational Agents—A Review}}},
  doi          = {{10.3389/fcomp.2022.744574}},
  volume       = {{4}},
  year         = {{2022}},
}

@article{45920,
  author       = {{Liszt-Rohlf, Verena and Wochnik, Markus and Schwabl, Franziska}},
  issn         = {{0172-2875}},
  journal      = {{Zeitschrift für Berufs- und Wirtschaftspädagogik}},
  keywords     = {{Applied Mathematics, General Mathematics}},
  number       = {{2}},
  pages        = {{261--295}},
  publisher    = {{Wissenschaftliche Verlagsgesellschaft mbH}},
  title        = {{{Alte Fotografien, neue Erkenntnisse}}},
  doi          = {{10.25162/zbw-2022-0011}},
  volume       = {{118}},
  year         = {{2022}},
}

@inbook{61306,
  author       = {{Heinrichs, Ulrike and Voigt, Martina}},
  booktitle    = {{Der Wandmalereizyklus zu den Wissenschaften und Künsten in der Domklausur zu Brandenburg. Interdisziplinäre Erforschung und Visualisierung des fragmentarischen Bestandes. Begleitband zur interdisziplinären Tagung der HAWK Hochschule für angewandte Wissenschaft und Kunst Hildesheim/Holzminden/Göttingen in Kooperation mit dem BLDAM Brandenburgisches Landesamt für Denkmalpflege und Archäologisches Landesmuseum und dem Domstift Brandenburg, »Nicht invasiv! Neue Perspektiven in der Erforschung und Restaurierung von Wandmalerei dank digitaler Techniken.« 27. bis 30. April 2022 in Brandenburg an der Havel (Schriften des Hornemann Instituts 22/Arbeitshefte des Brandenburgischen Landesamtes für Denkmalpflege und Archäologischen Landesmuseums 65)}},
  editor       = {{Schädler-Saub, Ursula and Noll-Minor, Mechthild}},
  pages        = {{150--193}},
  publisher    = {{hendrik Bäßler Verlag}},
  title        = {{{Die Wissenschaften und Künste unter der Ägide der brandenburgischen Kirche. Die Wandmalereien aus der Zeit Bischof Stephan Bodekers und Probst Peter von Klitzkes in der spätmittelalterlichen Dombibliothek in Brandenburg an der Havel – ein Bildzyklus, zwei Bibliotheksräume}}},
  year         = {{2022}},
}

@inproceedings{61303,
  author       = {{Artelt, André and Brinkrolf, Johannes and Visser, Roel and Hammer, Barbara}},
  booktitle    = {{Proceedings of the 14th International Joint Conference on Computational Intelligence}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Explaining Reject Options of Learning Vector Quantization Classifiers}}},
  doi          = {{10.5220/0011389600003332}},
  year         = {{2022}},
}

@inproceedings{61302,
  author       = {{Artelt, André and Visser, Roel and Hammer, Barbara}},
  booktitle    = {{ESANN 2022 proceedings}},
  publisher    = {{Ciaco - i6doc.com}},
  title        = {{{Model Agnostic Local Explanations of Reject}}},
  doi          = {{10.14428/esann/2022.es2022-34}},
  year         = {{2022}},
}