[{"department":[{"_id":"600"},{"_id":"660"}],"type":"conference","date_created":"2024-07-22T13:05:42Z","place":"Gyeongju, Republic of Korea","project":[{"_id":"118","name":"TRR 318 - INF: TRR 318 - Project Area INF"}],"abstract":[{"text":"As AI is more and more pervasive in everyday life, humans have an increasing demand to understand its behavior and decisions. Most research on explainable AI builds on the premise that there is one ideal explanation to be found. In fact, however, everyday explanations are co-constructed in a dialogue between the person explaining (the explainer) and the specific person being explained to (the explainee). In this paper, we introduce a first corpus of dialogical explanations to enable NLP research on how humans explain as well as on how AI can learn to imitate this process. The corpus consists of 65 transcribed English dialogues from the Wired video series 5 Levels, explaining 13 topics to five explainees of different proficiency. All 1550 dialogue turns have been manually labeled by five independent professionals for the topic discussed as well as for the dialogue act and the explanation move performed. We analyze linguistic patterns of explainers and explainees, and we explore differences across proficiency levels. BERT-based baseline results indicate that sequence information helps predicting topics, acts, and moves effectively.","lang":"eng"}],"citation":{"apa":"Wachsmuth, H., &#38; Alshomary, M. (2022). “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, &#38; S.-H. Na (Eds.), <i>Proceedings of the 29th International Conference on Computational Linguistics</i> (pp. 344–354). International Committee on Computational Linguistics.","ieee":"H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,” in <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, 2022, pp. 344–354.","short":"H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H. Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics, International Committee on Computational Linguistics, Gyeongju, Republic of Korea, 2022, pp. 344–354.","chicago":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” In <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea: International Committee on Computational Linguistics, 2022.","mla":"Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.” <i>Proceedings of the 29th International Conference on Computational Linguistics</i>, edited by Nicoletta Calzolari et al., International Committee on Computational Linguistics, 2022, pp. 344–354.","ama":"Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In: Calzolari N, Huang C-R, Kim H, et al., eds. <i>Proceedings of the 29th International Conference on Computational Linguistics</i>. International Committee on Computational Linguistics; 2022:344–354.","bibtex":"@inproceedings{Wachsmuth_Alshomary_2022, place={Gyeongju, Republic of Korea}, title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations}, booktitle={Proceedings of the 29th International Conference on Computational Linguistics}, publisher={International Committee on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary, Milad}, 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 et al.}, year={2022}, pages={344–354} }"},"publication":"Proceedings of the 29th International Conference on Computational Linguistics","editor":[{"full_name":"Calzolari, Nicoletta","last_name":"Calzolari","first_name":"Nicoletta"},{"full_name":"Huang, Chu-Ren","last_name":"Huang","first_name":"Chu-Ren"},{"last_name":"Kim","first_name":"Hansaem","full_name":"Kim, Hansaem"},{"first_name":"James","last_name":"Pustejovsky","full_name":"Pustejovsky, James"},{"full_name":"Wanner, Leo","first_name":"Leo","last_name":"Wanner"},{"full_name":"Choi, Key-Sun","last_name":"Choi","first_name":"Key-Sun"},{"full_name":"Ryu, Pum-Mo","first_name":"Pum-Mo","last_name":"Ryu"},{"full_name":"Chen, Hsin-Hsi","last_name":"Chen","first_name":"Hsin-Hsi"},{"last_name":"Donatelli","first_name":"Lucia","full_name":"Donatelli, Lucia"},{"last_name":"Ji","first_name":"Heng","full_name":"Ji, Heng"},{"last_name":"Kurohashi","first_name":"Sadao","full_name":"Kurohashi, Sadao"},{"last_name":"Paggio","first_name":"Patrizia","full_name":"Paggio, Patrizia"},{"last_name":"Xue","first_name":"Nianwen","full_name":"Xue, Nianwen"},{"full_name":"Kim, Seokhwan","last_name":"Kim","first_name":"Seokhwan"},{"last_name":"Hahm","first_name":"Younggyun","full_name":"Hahm, Younggyun"},{"first_name":"Zhong","last_name":"He","full_name":"He, Zhong"},{"full_name":"Lee, Tony Kyungil","first_name":"Tony Kyungil","last_name":"Lee"},{"full_name":"Santus, Enrico","last_name":"Santus","first_name":"Enrico"},{"full_name":"Bond, Francis","first_name":"Francis","last_name":"Bond"},{"first_name":"Seung-Hoon","last_name":"Na","full_name":"Na, Seung-Hoon"}],"user_id":"3900","_id":"55337","language":[{"iso":"eng"}],"publisher":"International Committee on Computational Linguistics","page":"344–354","date_updated":"2024-07-26T13:05:45Z","author":[{"first_name":"Henning","last_name":"Wachsmuth","full_name":"Wachsmuth, Henning","id":"3900"},{"first_name":"Milad","last_name":"Alshomary","full_name":"Alshomary, Milad","id":"73059"}],"status":"public","title":"“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations","year":"2022"},{"date_updated":"2024-07-26T13:08:46Z","status":"public","title":"Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning","year":"2022","author":[{"full_name":"Sengupta, Meghdut","first_name":"Meghdut","last_name":"Sengupta","id":"99459"},{"full_name":"Alshomary, Milad","last_name":"Alshomary","first_name":"Milad","id":"73059"},{"id":"3900","full_name":"Wachsmuth, Henning","last_name":"Wachsmuth","first_name":"Henning"}],"user_id":"3900","language":[{"iso":"eng"}],"_id":"34067","project":[{"name":"TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens","_id":"127"}],"publication":"Proceedings of the 2022 Workshop on Figurative Language Processing","citation":{"mla":"Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","bibtex":"@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }","ama":"Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. In: <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>. ; 2022.","ieee":"M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning,” 2022.","apa":"Sengupta, M., Alshomary, M., &#38; Wachsmuth, H. (2022). Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning. <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>.","chicago":"Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.” In <i>Proceedings of the 2022 Workshop on Figurative Language Processing</i>, 2022.","short":"M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop on Figurative Language Processing, 2022."},"type":"conference","department":[{"_id":"600"},{"_id":"660"}],"date_created":"2022-11-14T08:49:07Z"},{"abstract":[{"lang":"eng","text":"<jats:p>We report on our work with students in our data science courses, focusing on the analysis of students’ results. This study represents an in-depth analysis of students’ creation and documentation of machine learning models. The students were supported by educationally designed Jupyter Notebooks, which are used as worked examples. Using the worked example, students document their results in a so-called computational essay. We examine which aspects of creating computational essays are difficult for students to find out how worked examples should be designed to support students without being too prescriptive. We analyze the computational essays produced by students and draw consequences for redesigning our worked example.</jats:p>"}],"publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics","citation":{"apa":"Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., &#38; Schulte, C. (2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S. A. Peters, L. Zapata-Cardona, F. Bonafini, &#38; A. Fan (Eds.), <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education. <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">https://doi.org/10.52041/iase.icots11.t10e3</a>","ieee":"F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter Notebooks for Teaching, Learning, and Doing Data Science,” in <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, 2022, doi: <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>.","short":"F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: S.A. Peters, L. Zapata-Cardona, F. Bonafini, A. Fan (Eds.), Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022.","chicago":"Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny, and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.” In <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">https://doi.org/10.52041/iase.icots11.t10e3</a>.","mla":"Fleischer, Franz Yannik, et al. “Jupyter Notebooks for Teaching, Learning, and Doing Data Science.” <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, edited by S. A. Peters et al., International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>.","ama":"Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona L, Bonafini F, Fan A, eds. <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>","bibtex":"@inproceedings{Fleischer_Hüsing_Biehler_Podworny_Schulte_2022, title={Jupyter Notebooks for Teaching, Learning, and Doing Data Science}, DOI={<a href=\"https://doi.org/10.52041/iase.icots11.t10e3\">10.52041/iase.icots11.t10e3</a>}, booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}, publisher={International Association for Statistical Education}, author={Fleischer, Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte, Carsten}, editor={Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan, A.}, year={2022} }"},"type":"conference","department":[{"_id":"363"},{"_id":"67"}],"date_created":"2023-01-10T08:50:47Z","publication_status":"published","date_updated":"2024-08-21T10:03:47Z","year":"2022","status":"public","title":"Jupyter Notebooks for Teaching, Learning, and Doing Data Science","author":[{"first_name":"Franz Yannik","last_name":"Fleischer","orcid":"https://orcid.org/0000-0003-0318-0329","full_name":"Fleischer, Franz Yannik","id":"42660"},{"id":"58465","first_name":"Sven","last_name":"Hüsing","full_name":"Hüsing, Sven"},{"first_name":"Rolf","last_name":"Biehler","full_name":"Biehler, Rolf","id":"16274"},{"orcid":"0000-0002-6313-5987","first_name":"Susanne","last_name":"Podworny","full_name":"Podworny, Susanne","id":"30619"},{"first_name":"Carsten","last_name":"Schulte","full_name":"Schulte, Carsten","id":"60311"}],"user_id":"37888","doi":"10.52041/iase.icots11.t10e3","editor":[{"full_name":"Peters, S. A.","last_name":"Peters","first_name":"S. A."},{"full_name":"Zapata-Cardona, L.","first_name":"L.","last_name":"Zapata-Cardona"},{"first_name":"F.","last_name":"Bonafini","full_name":"Bonafini, F."},{"full_name":"Fan, A.","last_name":"Fan","first_name":"A."}],"_id":"35674","publisher":"International Association for Statistical Education","language":[{"iso":"eng"}]},{"date_updated":"2024-08-21T10:04:41Z","publication_status":"published","intvolume":"        21","year":"2022","title":"Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks","publication_identifier":{"issn":["1570-1824"]},"author":[{"first_name":"Franz Yannik","last_name":"Fleischer","orcid":"https://orcid.org/0000-0003-0318-0329","full_name":"Fleischer, Franz Yannik","id":"42660"},{"id":"16274","last_name":"Biehler","first_name":"Rolf","full_name":"Biehler, Rolf"},{"full_name":"Schulte, Carsten","first_name":"Carsten","last_name":"Schulte","id":"60311"}],"doi":"10.52041/serj.v21i2.61","article_number":"7","language":[{"iso":"eng"}],"abstract":[{"text":"<jats:p>This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students’ work is based on a teaching module about decision trees in machine learning and a worked example of such a modelling process. The study outlines the students’ performance in carrying out the machine learning technically and reasoning about bias in the data, different data preparation steps, the application context, and the resulting decision model. Furthermore, the context of the study and the theoretical backgrounds are presented.</jats:p>","lang":"eng"}],"issue":"2","publication":"Statistics Education Research Journal","type":"journal_article","keyword":["Education","Statistics and Probability"],"department":[{"_id":"363"},{"_id":"67"}],"date_created":"2023-01-10T08:48:23Z","status":"public","user_id":"37888","volume":21,"publisher":"International Association for Statistical Education","_id":"35672","citation":{"mla":"Fleischer, Franz Yannik, et al. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” <i>Statistics Education Research Journal</i>, vol. 21, no. 2, 7, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>.","bibtex":"@article{Fleischer_Biehler_Schulte_2022, title={Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks}, volume={21}, DOI={<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>}, number={27}, journal={Statistics Education Research Journal}, publisher={International Association for Statistical Education}, author={Fleischer, Franz Yannik and Biehler, Rolf and Schulte, Carsten}, year={2022} }","ama":"Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. <i>Statistics Education Research Journal</i>. 2022;21(2). doi:<a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>","ieee":"F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” <i>Statistics Education Research Journal</i>, vol. 21, no. 2, Art. no. 7, 2022, doi: <a href=\"https://doi.org/10.52041/serj.v21i2.61\">10.52041/serj.v21i2.61</a>.","apa":"Fleischer, F. Y., Biehler, R., &#38; Schulte, C. (2022). Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. <i>Statistics Education Research Journal</i>, <i>21</i>(2), Article 7. <a href=\"https://doi.org/10.52041/serj.v21i2.61\">https://doi.org/10.52041/serj.v21i2.61</a>","chicago":"Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.” <i>Statistics Education Research Journal</i> 21, no. 2 (2022). <a href=\"https://doi.org/10.52041/serj.v21i2.61\">https://doi.org/10.52041/serj.v21i2.61</a>.","short":"F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal 21 (2022)."}},{"citation":{"short":"P. Terhörst, J.N. Kolf, M. Huber, F. Kirchbuchner, N. Damer, A.M. Moreno, J. Fierrez, A. Kuijper, IEEE Transactions on Technology and Society 3 (2022) 16–30.","ama":"Terhörst P, Kolf JN, Huber M, et al. A Comprehensive Study on Face Recognition Biases Beyond Demographics. <i>IEEE Transactions on Technology and Society</i>. 2022;3(1):16-30. doi:<a href=\"https://doi.org/10.1109/TTS.2021.3111823\">10.1109/TTS.2021.3111823</a>","chicago":"Terhörst, Philipp, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales Moreno, Julian Fierrez, and Arjan Kuijper. “A Comprehensive Study on Face Recognition Biases Beyond Demographics.” <i>IEEE Transactions on Technology and Society</i> 3, no. 1 (2022): 16–30. <a href=\"https://doi.org/10.1109/TTS.2021.3111823\">https://doi.org/10.1109/TTS.2021.3111823</a>.","bibtex":"@article{Terhörst_Kolf_Huber_Kirchbuchner_Damer_Moreno_Fierrez_Kuijper_2022, title={A Comprehensive Study on Face Recognition Biases Beyond Demographics}, volume={3}, DOI={<a href=\"https://doi.org/10.1109/TTS.2021.3111823\">10.1109/TTS.2021.3111823</a>}, number={1}, journal={IEEE Transactions on Technology and Society}, author={Terhörst, Philipp and Kolf, Jan Niklas and Huber, Marco and Kirchbuchner, Florian and Damer, Naser and Moreno, Aythami Morales and Fierrez, Julian and Kuijper, Arjan}, year={2022}, pages={16–30} }","mla":"Terhörst, Philipp, et al. “A Comprehensive Study on Face Recognition Biases Beyond Demographics.” <i>IEEE Transactions on Technology and Society</i>, vol. 3, no. 1, 2022, pp. 16–30, doi:<a href=\"https://doi.org/10.1109/TTS.2021.3111823\">10.1109/TTS.2021.3111823</a>.","apa":"Terhörst, P., Kolf, J. N., Huber, M., Kirchbuchner, F., Damer, N., Moreno, A. M., Fierrez, J., &#38; Kuijper, A. (2022). A Comprehensive Study on Face Recognition Biases Beyond Demographics. <i>IEEE Transactions on Technology and Society</i>, <i>3</i>(1), 16–30. <a href=\"https://doi.org/10.1109/TTS.2021.3111823\">https://doi.org/10.1109/TTS.2021.3111823</a>","ieee":"P. Terhörst <i>et al.</i>, “A Comprehensive Study on Face Recognition Biases Beyond Demographics,” <i>IEEE Transactions on Technology and Society</i>, vol. 3, no. 1, pp. 16–30, 2022, doi: <a href=\"https://doi.org/10.1109/TTS.2021.3111823\">10.1109/TTS.2021.3111823</a>."},"publication":"IEEE Transactions on Technology and Society","issue":"1","date_created":"2022-12-21T12:30:34Z","department":[{"_id":"761"}],"type":"journal_article","author":[{"first_name":"Philipp","last_name":"Terhörst","full_name":"Terhörst, Philipp","id":"97123"},{"first_name":"Jan Niklas","last_name":"Kolf","full_name":"Kolf, Jan Niklas"},{"full_name":"Huber, Marco","first_name":"Marco","last_name":"Huber"},{"first_name":"Florian","last_name":"Kirchbuchner","full_name":"Kirchbuchner, Florian"},{"first_name":"Naser","last_name":"Damer","full_name":"Damer, Naser"},{"last_name":"Moreno","first_name":"Aythami Morales","full_name":"Moreno, Aythami Morales"},{"last_name":"Fierrez","first_name":"Julian","full_name":"Fierrez, Julian"},{"first_name":"Arjan","last_name":"Kuijper","full_name":"Kuijper, Arjan"}],"status":"public","title":"A Comprehensive Study on Face Recognition Biases Beyond Demographics","year":"2022","intvolume":"         3","date_updated":"2023-01-17T09:15:42Z","language":[{"iso":"eng"}],"_id":"34716","page":"16-30","volume":3,"user_id":"14931","doi":"10.1109/TTS.2021.3111823"},{"publication":"26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022","citation":{"ieee":"M. Huber, P. Terhörst, A. T. Luu, F. Kirchbuchner, and N. Damer, “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition,” in <i>26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022</i>, 2022, pp. 938–944, doi: <a href=\"https://doi.org/10.1109/ICPR56361.2022.9956452\">10.1109/ICPR56361.2022.9956452</a>.","apa":"Huber, M., Terhörst, P., Luu, A. T., Kirchbuchner, F., &#38; Damer, N. (2022). Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition. <i>26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022</i>, 938–944. <a href=\"https://doi.org/10.1109/ICPR56361.2022.9956452\">https://doi.org/10.1109/ICPR56361.2022.9956452</a>","mla":"Huber, Marco, et al. “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-Aware Face Recognition.” <i>26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022</i>, IEEE, 2022, pp. 938–944, doi:<a href=\"https://doi.org/10.1109/ICPR56361.2022.9956452\">10.1109/ICPR56361.2022.9956452</a>.","bibtex":"@inproceedings{Huber_Terhörst_Luu_Kirchbuchner_Damer_2022, title={Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition}, DOI={<a href=\"https://doi.org/10.1109/ICPR56361.2022.9956452\">10.1109/ICPR56361.2022.9956452</a>}, booktitle={26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022}, publisher={IEEE}, author={Huber, Marco and Terhörst, Philipp and Luu, Anh Thi and Kirchbuchner, Florian and Damer, Naser}, year={2022}, pages={938–944} }","chicago":"Huber, Marco, Philipp Terhörst, Anh Thi Luu, Florian Kirchbuchner, and Naser Damer. “Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-Aware Face Recognition.” In <i>26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022</i>, 938–944. IEEE, 2022. <a href=\"https://doi.org/10.1109/ICPR56361.2022.9956452\">https://doi.org/10.1109/ICPR56361.2022.9956452</a>.","short":"M. Huber, P. Terhörst, A.T. Luu, F. Kirchbuchner, N. Damer, in: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022, IEEE, 2022, pp. 938–944.","ama":"Huber M, Terhörst P, Luu AT, Kirchbuchner F, Damer N. Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition. In: <i>26th International Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022</i>. 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Winkelnkemper, in: EDULEARN22 Proceedings, 2022, pp. 10017–10026.","chicago":"Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” In <i>EDULEARN22 Proceedings</i>, 10017–10026, 2022. <a href=\"https://doi.org/10.21125/edulearn.2022.2416\">https://doi.org/10.21125/edulearn.2022.2416</a>.","mla":"Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” <i>EDULEARN22 Proceedings</i>, 2022, pp. 10017–10026, doi:<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>.","bibtex":"@inproceedings{Huhmann_Winkelnkemper_2022, title={SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS}, DOI={<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>}, booktitle={EDULEARN22 Proceedings}, author={Huhmann, Tobias and Winkelnkemper, Felix}, year={2022}, pages={10017–10026} }","ama":"Huhmann T, Winkelnkemper F. SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. In: <i>EDULEARN22 Proceedings</i>. ; 2022:10017–10026. doi:<a href=\"https://doi.org/10.21125/edulearn.2022.2416\">10.21125/edulearn.2022.2416</a>"},"publication":"EDULEARN22 Proceedings","user_id":"21145","doi":"10.21125/edulearn.2022.2416","_id":"38160","language":[{"iso":"eng"}],"page":"10017–10026","date_updated":"2023-01-24T09:17:28Z","author":[{"first_name":"Tobias","last_name":"Huhmann","full_name":"Huhmann, Tobias"},{"full_name":"Winkelnkemper, Felix","first_name":"Felix","last_name":"Winkelnkemper"}],"title":"SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS","status":"public","year":"2022"},{"citation":{"mla":"Huhmann, Tobias, et al. “Pentomino Digital - Mit Einer App Geometrie Lernen.” <i>Mathematik Differenziert</i>, no. 4–2022, 2022, pp. 42–45.","bibtex":"@article{Huhmann_Eilerts_Winkelnkemper_2022, title={Pentomino Digital - Mit Einer App Geometrie Lernen}, number={4–2022}, journal={Mathematik differenziert}, author={Huhmann, Tobias and Eilerts, Katja and Winkelnkemper, Felix}, year={2022}, pages={42–45} }","ama":"Huhmann T, Eilerts K, Winkelnkemper F. Pentomino Digital - Mit Einer App Geometrie Lernen. <i>Mathematik differenziert</i>. 2022;(4-2022):42–45.","ieee":"T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer App Geometrie Lernen,” <i>Mathematik differenziert</i>, no. 4–2022, pp. 42–45, 2022.","apa":"Huhmann, T., Eilerts, K., &#38; Winkelnkemper, F. (2022). Pentomino Digital - Mit Einer App Geometrie Lernen. <i>Mathematik Differenziert</i>, <i>4–2022</i>, 42–45.","chicago":"Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital - Mit Einer App Geometrie Lernen.” <i>Mathematik Differenziert</i>, no. 4–2022 (2022): 42–45.","short":"T. Huhmann, K. Eilerts, F. Winkelnkemper, Mathematik Differenziert (2022) 42–45."},"publication":"Mathematik differenziert","issue":"4-2022","date_created":"2023-01-23T15:22:27Z","department":[{"_id":"67"}],"keyword":["⛔ No DOI found"],"type":"journal_article","author":[{"last_name":"Huhmann","first_name":"Tobias","full_name":"Huhmann, Tobias"},{"full_name":"Eilerts, Katja","first_name":"Katja","last_name":"Eilerts"},{"first_name":"Felix","last_name":"Winkelnkemper","full_name":"Winkelnkemper, Felix"}],"status":"public","year":"2022","title":"Pentomino Digital - Mit Einer App Geometrie Lernen","date_updated":"2023-01-24T09:17:10Z","language":[{"iso":"eng"}],"_id":"38162","page":"42–45","user_id":"21145"},{"citation":{"mla":"Huber, Marco, et al. “Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition.” <i>33nd British Machine Vision Conference 2022</i>, arXiv, 2022, doi:<a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">10.48550/ARXIV.2210.10354</a>.","bibtex":"@article{Huber_Terhörst_Kirchbuchner_Damer_Kuijper_2022, title={Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition}, DOI={<a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">10.48550/ARXIV.2210.10354</a>}, journal={33nd British Machine Vision Conference 2022}, publisher={arXiv}, author={Huber, Marco and Terhörst, Philipp and Kirchbuchner, Florian and Damer, Naser and Kuijper, Arjan}, year={2022} }","ama":"Huber M, Terhörst P, Kirchbuchner F, Damer N, Kuijper A. Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition. <i>33nd British Machine Vision Conference 2022</i>. Published online 2022. doi:<a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">10.48550/ARXIV.2210.10354</a>","ieee":"M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition,” <i>33nd British Machine Vision Conference 2022</i>, 2022, doi: <a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">10.48550/ARXIV.2210.10354</a>.","apa":"Huber, M., Terhörst, P., Kirchbuchner, F., Damer, N., &#38; Kuijper, A. (2022). Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition. <i>33nd British Machine Vision Conference 2022</i>. <a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">https://doi.org/10.48550/ARXIV.2210.10354</a>","chicago":"Huber, Marco, Philipp Terhörst, Florian Kirchbuchner, Naser Damer, and Arjan Kuijper. “Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition.” <i>33nd British Machine Vision Conference 2022</i>, 2022. <a href=\"https://doi.org/10.48550/ARXIV.2210.10354\">https://doi.org/10.48550/ARXIV.2210.10354</a>.","short":"M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, A. Kuijper, 33nd British Machine Vision Conference 2022 (2022)."},"publication":"33nd British Machine Vision Conference 2022","date_created":"2022-12-20T14:30:02Z","department":[{"_id":"761"}],"type":"journal_article","keyword":["Computer Vision and Pattern Recognition (cs.CV)","FOS: Computer and information sciences","FOS: Computer and information sciences"],"author":[{"last_name":"Huber","first_name":"Marco","full_name":"Huber, Marco"},{"last_name":"Terhörst","first_name":"Philipp","full_name":"Terhörst, Philipp","id":"97123"},{"full_name":"Kirchbuchner, Florian","last_name":"Kirchbuchner","first_name":"Florian"},{"full_name":"Damer, Naser","last_name":"Damer","first_name":"Naser"},{"full_name":"Kuijper, Arjan","last_name":"Kuijper","first_name":"Arjan"}],"title":"Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition","year":"2022","status":"public","date_updated":"2023-01-23T13:53:14Z","_id":"34617","language":[{"iso":"eng"}],"publisher":"arXiv","doi":"10.48550/ARXIV.2210.10354","user_id":"97123"},{"doi":"10.52041/iase.icots11.t2h3","user_id":"58465","_id":"40510","language":[{"iso":"eng"}],"publisher":"International Association for Statistical Education","date_updated":"2023-01-27T12:24:33Z","publication_status":"published","author":[{"first_name":"Susanne","last_name":"Podworny","full_name":"Podworny, Susanne"},{"first_name":"Yannik","last_name":"Fleischer","full_name":"Fleischer, Yannik"},{"id":"58465","last_name":"Hüsing","first_name":"Sven","full_name":"Hüsing, Sven"}],"status":"public","title":"Grade 6 Students’ Perception and Use of Data-Based Decision Trees","year":"2022","department":[{"_id":"67"}],"type":"conference","date_created":"2023-01-27T12:23:45Z","abstract":[{"text":"<jats:p>Decision-making processes are often based on data and data-driven machine learning methods in different areas such as recommender systems, medicine, criminalistics, etc. Well-informed citizens need at least a minimal understanding and critical reflection of corresponding data-driven machine learning methods. Decision trees are a method that can foster a preformal understanding of machine learning. We developed an exploratory teaching unit introducing decision trees in grade 6 along the question “How can Artificial Intelligence help us decide whether food is rather recommendable or not?” Students’ performances in an assessment task and self-assessment show that young learners can use a decision tree to classify new items and that they found the corresponding teaching unit informative.</jats:p>","lang":"eng"}],"citation":{"mla":"Podworny, Susanne, et al. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.” <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>.","ama":"Podworny S, Fleischer Y, Hüsing S. Grade 6 Students’ Perception and Use of Data-Based Decision Trees. In: <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>","bibtex":"@inproceedings{Podworny_Fleischer_Hüsing_2022, title={Grade 6 Students’ Perception and Use of Data-Based Decision Trees}, DOI={<a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>}, booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics}, publisher={International Association for Statistical Education}, author={Podworny, Susanne and Fleischer, Yannik and Hüsing, Sven}, year={2022} }","apa":"Podworny, S., Fleischer, Y., &#38; Hüsing, S. (2022). Grade 6 Students’ Perception and Use of Data-Based Decision Trees. <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">https://doi.org/10.52041/iase.icots11.t2h3</a>","ieee":"S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and Use of Data-Based Decision Trees,” 2022, doi: <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">10.52041/iase.icots11.t2h3</a>.","chicago":"Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’ Perception and Use of Data-Based Decision Trees.” In <i>Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics</i>. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.icots11.t2h3\">https://doi.org/10.52041/iase.icots11.t2h3</a>.","short":"S. Podworny, Y. Fleischer, S. Hüsing, in: Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics, International Association for Statistical Education, 2022."},"publication":"Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics"},{"publication":"Proceedings of the IASE 2021 Satellite Conference","citation":{"bibtex":"@inproceedings{Hüsing_Podworny_2022, title={Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School}, DOI={<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>}, booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International Association for Statistical Education}, author={Hüsing, Sven and Podworny, Susanne}, year={2022} }","ama":"Hüsing S, Podworny S. Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. In: <i>Proceedings of the IASE 2021 Satellite Conference</i>. International Association for Statistical Education; 2022. doi:<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>","mla":"Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.” <i>Proceedings of the IASE 2021 Satellite Conference</i>, International Association for Statistical Education, 2022, doi:<a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>.","short":"S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference, International Association for Statistical Education, 2022.","chicago":"Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for Reproducible Data Analysis in Lower Secondary School.” In <i>Proceedings of the IASE 2021 Satellite Conference</i>. International Association for Statistical Education, 2022. <a href=\"https://doi.org/10.52041/iase.zwwoh\">https://doi.org/10.52041/iase.zwwoh</a>.","ieee":"S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School,” 2022, doi: <a href=\"https://doi.org/10.52041/iase.zwwoh\">10.52041/iase.zwwoh</a>.","apa":"Hüsing, S., &#38; Podworny, S. (2022). Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School. <i>Proceedings of the IASE 2021 Satellite Conference</i>. <a href=\"https://doi.org/10.52041/iase.zwwoh\">https://doi.org/10.52041/iase.zwwoh</a>"},"abstract":[{"lang":"eng","text":"<jats:p>Data Science has become an increasingly important aspect of our everyday lives as we gain a lot of different insights from data analyses, for example in the context of environmental issues. In order to make the process of data analyses comprehensible for lower secondary school students, we developed a data analysis project for computer science classes, focusing on gaining insights from environmental data by using the concept of epistemic programming. In this article, we report on the second implementation of this project, which was conducted in a ninth-grade computer science class. Concretely, we want to examine, how far the students were able to create computational essays to conduct reproducible data analyses on their own. In this regard, the computational essays created with the help of the professional tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.</jats:p>"}],"date_created":"2022-04-22T08:30:59Z","type":"conference","department":[{"_id":"67"}],"status":"public","year":"2022","title":"Computational Essays as an Approach for Reproducible Data Analysis in lower Secondary School","author":[{"last_name":"Hüsing","first_name":"Sven","full_name":"Hüsing, Sven","id":"58465"},{"full_name":"Podworny, Susanne","last_name":"Podworny","first_name":"Susanne"}],"date_updated":"2023-01-30T12:10:57Z","publication_status":"published","main_file_link":[{"url":"https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216"}],"_id":"30937","publisher":"International Association for Statistical Education","language":[{"iso":"eng"}],"doi":"10.52041/iase.zwwoh","user_id":"58465"},{"user_id":"39928","doi":"10.1145/3550356.3561560","_id":"41164","publisher":"ACM","language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-01-31T12:04:09Z","author":[{"id":"39928","full_name":"Kirchhoff, Jonas","first_name":"Jonas","last_name":"Kirchhoff"},{"id":"53103","full_name":"Weidmann, Nils","first_name":"Nils","last_name":"Weidmann"},{"id":"447","first_name":"Stefan","last_name":"Sauer","full_name":"Sauer, Stefan"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor","id":"107"}],"title":"Situational Development of Low-Code Applications in Manufacturing Companies","year":"2022","status":"public","department":[{"_id":"534"},{"_id":"66"}],"type":"conference","date_created":"2023-01-31T12:00:42Z","abstract":[{"lang":"eng","text":"Companies show an increasing interest in low-code development platforms to facilitate application development by domain experts without sophisticated software development knowledge. Thus, companies aim for a more efficient development of more effective applications since domain experts as so-called citizen developers are no longer limited by the availability and domain knowledge of trained software developers. Nevertheless, efficiency and effectiveness of application development is traditionally also largely influenced by the use of a suitable software development method. Domain experts are, however, not trained in software development methods. This introduces a risk of domain experts creating unusable applications or exceeding the designated time frame of a project (or both). In this paper, we therefore propose an initial version of a situational software development method which supports domain experts in manufacturing companies during the low-code development of applications. The method can be tailored based on situational factors, considering application requirements, features of the used low-code development platform, and characteristics of the development team. We also present feedback corroborating the usefulness of our method and future extension points based on expert interviews."}],"citation":{"bibtex":"@inproceedings{Kirchhoff_Weidmann_Sauer_Engels_2022, title={Situational Development of Low-Code Applications in Manufacturing Companies}, DOI={<a href=\"https://doi.org/10.1145/3550356.3561560\">10.1145/3550356.3561560</a>}, booktitle={Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}, publisher={ACM}, author={Kirchhoff, Jonas and Weidmann, Nils and Sauer, Stefan and Engels, Gregor}, year={2022} }","ama":"Kirchhoff J, Weidmann N, Sauer S, Engels G. Situational Development of Low-Code Applications in Manufacturing Companies. In: <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. ACM; 2022. doi:<a href=\"https://doi.org/10.1145/3550356.3561560\">10.1145/3550356.3561560</a>","mla":"Kirchhoff, Jonas, et al. “Situational Development of Low-Code Applications in Manufacturing Companies.” <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>, ACM, 2022, doi:<a href=\"https://doi.org/10.1145/3550356.3561560\">10.1145/3550356.3561560</a>.","chicago":"Kirchhoff, Jonas, Nils Weidmann, Stefan Sauer, and Gregor Engels. “Situational Development of Low-Code Applications in Manufacturing Companies.” In <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. ACM, 2022. <a href=\"https://doi.org/10.1145/3550356.3561560\">https://doi.org/10.1145/3550356.3561560</a>.","short":"J. Kirchhoff, N. Weidmann, S. Sauer, G. Engels, in: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022.","ieee":"J. Kirchhoff, N. Weidmann, S. Sauer, and G. Engels, “Situational Development of Low-Code Applications in Manufacturing Companies,” 2022, doi: <a href=\"https://doi.org/10.1145/3550356.3561560\">10.1145/3550356.3561560</a>.","apa":"Kirchhoff, J., Weidmann, N., Sauer, S., &#38; Engels, G. (2022). Situational Development of Low-Code Applications in Manufacturing Companies. <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. <a href=\"https://doi.org/10.1145/3550356.3561560\">https://doi.org/10.1145/3550356.3561560</a>"},"publication":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings"},{"publication":"Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings","citation":{"bibtex":"@inproceedings{Gottschalk_Bhat_Weidmann_Kirchhoff_Engels_2022, title={Low-code experimentation on software products}, DOI={<a href=\"https://doi.org/10.1145/3550356.3561572\">10.1145/3550356.3561572</a>}, booktitle={Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings}, publisher={ACM}, author={Gottschalk, Sebastian and Bhat, Rakshit and Weidmann, Nils and Kirchhoff, Jonas and Engels, Gregor}, year={2022} }","ama":"Gottschalk S, Bhat R, Weidmann N, Kirchhoff J, Engels G. Low-code experimentation on software products. In: <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. ACM; 2022. doi:<a href=\"https://doi.org/10.1145/3550356.3561572\">10.1145/3550356.3561572</a>","short":"S. Gottschalk, R. Bhat, N. Weidmann, J. Kirchhoff, G. Engels, in: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022.","chicago":"Gottschalk, Sebastian, Rakshit Bhat, Nils Weidmann, Jonas Kirchhoff, and Gregor Engels. “Low-Code Experimentation on Software Products.” In <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. ACM, 2022. <a href=\"https://doi.org/10.1145/3550356.3561572\">https://doi.org/10.1145/3550356.3561572</a>.","ieee":"S. Gottschalk, R. Bhat, N. Weidmann, J. Kirchhoff, and G. Engels, “Low-code experimentation on software products,” 2022, doi: <a href=\"https://doi.org/10.1145/3550356.3561572\">10.1145/3550356.3561572</a>.","apa":"Gottschalk, S., Bhat, R., Weidmann, N., Kirchhoff, J., &#38; Engels, G. (2022). Low-code experimentation on software products. <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>. <a href=\"https://doi.org/10.1145/3550356.3561572\">https://doi.org/10.1145/3550356.3561572</a>","mla":"Gottschalk, Sebastian, et al. “Low-Code Experimentation on Software Products.” <i>Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings</i>, ACM, 2022, doi:<a href=\"https://doi.org/10.1145/3550356.3561572\">10.1145/3550356.3561572</a>."},"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"17","name":"SFB 901 - C5: SFB 901 - Subproject C5"}],"date_created":"2023-01-31T09:29:09Z","type":"conference","department":[{"_id":"66"}],"title":"Low-code experimentation on software products","year":"2022","status":"public","author":[{"id":"47208","full_name":"Gottschalk, Sebastian","last_name":"Gottschalk","first_name":"Sebastian"},{"full_name":"Bhat, Rakshit","last_name":"Bhat","first_name":"Rakshit"},{"id":"53103","full_name":"Weidmann, Nils","last_name":"Weidmann","first_name":"Nils"},{"id":"39928","first_name":"Jonas","last_name":"Kirchhoff","full_name":"Kirchhoff, Jonas"},{"full_name":"Engels, Gregor","first_name":"Gregor","last_name":"Engels","id":"107"}],"publication_status":"published","date_updated":"2023-02-01T07:25:52Z","_id":"41134","language":[{"iso":"eng"}],"publisher":"ACM","user_id":"47208","doi":"10.1145/3550356.3561572"},{"author":[{"full_name":"Eidens, Fabian","first_name":"Fabian","last_name":"Eidens","id":"25078"}],"year":"2022","status":"public","title":"Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials","date_updated":"2023-02-08T21:07:41Z","_id":"35188","language":[{"iso":"eng"}],"user_id":"25078","doi":"10.17619/UNIPB/1-1653","citation":{"mla":"Eidens, Fabian. <i>Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials</i>. 2022, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1653\">10.17619/UNIPB/1-1653</a>.","bibtex":"@book{Eidens_2022, title={Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-1653\">10.17619/UNIPB/1-1653</a>}, author={Eidens, Fabian}, year={2022} }","ama":"Eidens F. <i>Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials</i>.; 2022. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-1653\">10.17619/UNIPB/1-1653</a>","ieee":"F. Eidens, <i>Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials</i>. 2022.","apa":"Eidens, F. (2022). <i>Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials</i>. <a href=\"https://doi.org/10.17619/UNIPB/1-1653\">https://doi.org/10.17619/UNIPB/1-1653</a>","short":"F. Eidens, Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials, 2022.","chicago":"Eidens, Fabian. <i>Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable Credentials</i>, 2022. <a href=\"https://doi.org/10.17619/UNIPB/1-1653\">https://doi.org/10.17619/UNIPB/1-1653</a>."},"supervisor":[{"id":"23","full_name":"Blömer, Johannes","last_name":"Blömer","first_name":"Johannes"}],"project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"82","name":"SFB 901 - T: SFB 901 - Project Area T"},{"name":"SFB 901 - T2: SFB 901 -Subproject T2","_id":"84"}],"date_created":"2023-01-04T09:01:48Z","department":[{"_id":"64"}],"type":"dissertation"}]