[{"page":"384-399","intvolume":"      2023","citation":{"ama":"Arias-Cabarcos P, Khalili S, Strufe T. ’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties. <i>Proceedings on Privacy Enhancing Technologies</i>. 2023;2023(1):384-399. doi:<a href=\"https://doi.org/10.56553/popets-2023-0023\">10.56553/popets-2023-0023</a>","ieee":"P. Arias-Cabarcos, S. Khalili, and T. Strufe, “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties,” <i>Proceedings on Privacy Enhancing Technologies</i>, vol. 2023, no. 1, pp. 384–399, 2023, doi: <a href=\"https://doi.org/10.56553/popets-2023-0023\">10.56553/popets-2023-0023</a>.","chicago":"Arias-Cabarcos, Patricia, Saina Khalili, and Thorsten Strufe. “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties.” <i>Proceedings on Privacy Enhancing Technologies</i> 2023, no. 1 (2023): 384–99. <a href=\"https://doi.org/10.56553/popets-2023-0023\">https://doi.org/10.56553/popets-2023-0023</a>.","apa":"Arias-Cabarcos, P., Khalili, S., &#38; Strufe, T. (2023). ’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties. <i>Proceedings on Privacy Enhancing Technologies</i>, <i>2023</i>(1), 384–399. <a href=\"https://doi.org/10.56553/popets-2023-0023\">https://doi.org/10.56553/popets-2023-0023</a>","short":"P. Arias-Cabarcos, S. Khalili, T. Strufe, Proceedings on Privacy Enhancing Technologies 2023 (2023) 384–399.","mla":"Arias-Cabarcos, Patricia, et al. “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties.” <i>Proceedings on Privacy Enhancing Technologies</i>, vol. 2023, no. 1, Privacy Enhancing Technologies Symposium Advisory Board, 2023, pp. 384–99, doi:<a href=\"https://doi.org/10.56553/popets-2023-0023\">10.56553/popets-2023-0023</a>.","bibtex":"@article{Arias-Cabarcos_Khalili_Strufe_2023, title={’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties}, volume={2023}, DOI={<a href=\"https://doi.org/10.56553/popets-2023-0023\">10.56553/popets-2023-0023</a>}, number={1}, journal={Proceedings on Privacy Enhancing Technologies}, publisher={Privacy Enhancing Technologies Symposium Advisory Board}, author={Arias-Cabarcos, Patricia and Khalili, Saina and Strufe, Thorsten}, year={2023}, pages={384–399} }"},"year":"2023","issue":"1","publication_identifier":{"issn":["2299-0984"]},"publication_status":"published","doi":"10.56553/popets-2023-0023","title":"'Surprised, Shocked, Worried'}: User Reactions to Facebook Data Collection from Third Parties","volume":2023,"date_created":"2023-10-14T12:10:31Z","author":[{"full_name":"Arias-Cabarcos, Patricia","last_name":"Arias-Cabarcos","first_name":"Patricia"},{"full_name":"Khalili, Saina","last_name":"Khalili","first_name":"Saina"},{"last_name":"Strufe","full_name":"Strufe, Thorsten","first_name":"Thorsten"}],"publisher":"Privacy Enhancing Technologies Symposium Advisory Board","date_updated":"2023-10-14T12:13:32Z","status":"public","abstract":[{"text":"<jats:p>Data collection and aggregation by online services happens to an extent that is often beyond awareness and comprehension of its users. Transparency tools become crucial to inform people, though it is unclear how well they work. To investigate this matter, we conducted a user study focusing on Facebook, which has recently released the 'Off-Facebook Activity' transparency dashboard that informs about personal data collection from third parties. We exposed a group of n = 100 participants to the dashboard and surveyed their level of awareness and reactions to understand how transparency impacts users' privacy attitudes and  intended behavior. Our participants were surprised about the massive amount of collected data, became significantly less comfortable with data collection, and more likely to take protective measures.  Collaterally, we observed that current consent schemes are inadequate. Based on the survey findings, we make recommendations for more usable transparency and highlight the need to raise awareness about transparency tools and to provide easily actionable privacy controls.</jats:p>","lang":"eng"}],"publication":"Proceedings on Privacy Enhancing Technologies","type":"journal_article","keyword":["General Medicine"],"user_id":"92804","_id":"48061"},{"user_id":"66","department":[{"_id":"52"}],"_id":"48059","language":[{"iso":"eng"}],"keyword":["Electrical and Electronic Engineering","Industrial and Manufacturing Engineering","Control and Systems Engineering"],"type":"journal_article","publication":"IEEE Open Journal of the Industrial Electronics Society","status":"public","author":[{"first_name":"Fabian","full_name":"Winkel, Fabian","last_name":"Winkel"},{"first_name":"Oliver","orcid":"https://orcid.org/0000-0001-9362-8777","last_name":"Wallscheid","id":"11291","full_name":"Wallscheid, Oliver"},{"last_name":"Scholz","full_name":"Scholz, Peter","first_name":"Peter"},{"first_name":"Joachim","id":"66","full_name":"Böcker, Joachim","last_name":"Böcker","orcid":"0000-0002-8480-7295"}],"date_created":"2023-10-14T12:03:38Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","date_updated":"2023-10-14T12:16:35Z","doi":"10.1109/ojies.2023.3323870","title":"Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays","publication_status":"published","publication_identifier":{"issn":["2644-1284"]},"citation":{"short":"F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14.","mla":"Winkel, Fabian, et al. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” <i>IEEE Open Journal of the Industrial Electronics Society</i>, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>.","bibtex":"@article{Winkel_Wallscheid_Scholz_Böcker_2023, title={Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays}, DOI={<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>}, journal={IEEE Open Journal of the Industrial Electronics Society}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Wallscheid, Oliver and Scholz, Peter and Böcker, Joachim}, year={2023}, pages={1–14} }","apa":"Winkel, F., Wallscheid, O., Scholz, P., &#38; Böcker, J. (2023). Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. <i>IEEE Open Journal of the Industrial Electronics Society</i>, 1–14. <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">https://doi.org/10.1109/ojies.2023.3323870</a>","ama":"Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. <i>IEEE Open Journal of the Industrial Electronics Society</i>. Published online 2023:1-14. doi:<a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>","chicago":"Winkel, Fabian, Oliver Wallscheid, Peter Scholz, and Joachim Böcker. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” <i>IEEE Open Journal of the Industrial Electronics Society</i>, 2023, 1–14. <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">https://doi.org/10.1109/ojies.2023.3323870</a>.","ieee":"F. Winkel, O. Wallscheid, P. Scholz, and J. Böcker, “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays,” <i>IEEE Open Journal of the Industrial Electronics Society</i>, pp. 1–14, 2023, doi: <a href=\"https://doi.org/10.1109/ojies.2023.3323870\">10.1109/ojies.2023.3323870</a>."},"page":"1-14","year":"2023"},{"title":"Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning","doi":"10.1109/tr.2023.3255786","date_updated":"2023-10-14T12:16:48Z","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","author":[{"first_name":"Fabian","full_name":"Winkel, Fabian","last_name":"Winkel"},{"last_name":"Deuse-Kleinsteuber","full_name":"Deuse-Kleinsteuber, Johannes","first_name":"Johannes"},{"first_name":"Joachim","last_name":"Böcker","orcid":"0000-0002-8480-7295","id":"66","full_name":"Böcker, Joachim"}],"date_created":"2023-10-14T12:01:41Z","year":"2023","page":"1-14","citation":{"chicago":"Winkel, Fabian, Johannes Deuse-Kleinsteuber, and Joachim Böcker. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” <i>IEEE Transactions on Reliability</i>, 2023, 1–14. <a href=\"https://doi.org/10.1109/tr.2023.3255786\">https://doi.org/10.1109/tr.2023.3255786</a>.","ieee":"F. Winkel, J. Deuse-Kleinsteuber, and J. Böcker, “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning,” <i>IEEE Transactions on Reliability</i>, pp. 1–14, 2023, doi: <a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>.","ama":"Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. <i>IEEE Transactions on Reliability</i>. Published online 2023:1-14. doi:<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>","mla":"Winkel, Fabian, et al. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” <i>IEEE Transactions on Reliability</i>, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>.","short":"F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14.","bibtex":"@article{Winkel_Deuse-Kleinsteuber_Böcker_2023, title={Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning}, DOI={<a href=\"https://doi.org/10.1109/tr.2023.3255786\">10.1109/tr.2023.3255786</a>}, journal={IEEE Transactions on Reliability}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Winkel, Fabian and Deuse-Kleinsteuber, Johannes and Böcker, Joachim}, year={2023}, pages={1–14} }","apa":"Winkel, F., Deuse-Kleinsteuber, J., &#38; Böcker, J. (2023). Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. <i>IEEE Transactions on Reliability</i>, 1–14. <a href=\"https://doi.org/10.1109/tr.2023.3255786\">https://doi.org/10.1109/tr.2023.3255786</a>"},"publication_identifier":{"issn":["0018-9529","1558-1721"]},"publication_status":"published","keyword":["Electrical and Electronic Engineering","Safety","Risk","Reliability and Quality"],"language":[{"iso":"eng"}],"_id":"48058","department":[{"_id":"52"}],"user_id":"66","status":"public","publication":"IEEE Transactions on Reliability","type":"journal_article"},{"_id":"48062","user_id":"92804","status":"public","publication":"2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)","type":"conference","title":"BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks","doi":"10.1109/percom56429.2023.10099367","date_updated":"2023-10-14T12:13:12Z","publisher":"IEEE","author":[{"full_name":"Fallahi, Matin","last_name":"Fallahi","first_name":"Matin"},{"first_name":"Thorsten","full_name":"Strufe, Thorsten","last_name":"Strufe"},{"first_name":"Patricia","full_name":"Arias-Cabarcos, Patricia","last_name":"Arias-Cabarcos"}],"date_created":"2023-10-14T12:10:54Z","year":"2023","citation":{"chicago":"Fallahi, Matin, Thorsten Strufe, and Patricia Arias-Cabarcos. “BrainNet: Improving Brainwave-Based Biometric Recognition with Siamese Networks.” In <i>2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)</i>. IEEE, 2023. <a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">https://doi.org/10.1109/percom56429.2023.10099367</a>.","ieee":"M. Fallahi, T. Strufe, and P. Arias-Cabarcos, “BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks,” 2023, doi: <a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">10.1109/percom56429.2023.10099367</a>.","ama":"Fallahi M, Strufe T, Arias-Cabarcos P. BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks. In: <i>2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)</i>. IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">10.1109/percom56429.2023.10099367</a>","apa":"Fallahi, M., Strufe, T., &#38; Arias-Cabarcos, P. (2023). BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks. <i>2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)</i>. <a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">https://doi.org/10.1109/percom56429.2023.10099367</a>","mla":"Fallahi, Matin, et al. “BrainNet: Improving Brainwave-Based Biometric Recognition with Siamese Networks.” <i>2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)</i>, IEEE, 2023, doi:<a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">10.1109/percom56429.2023.10099367</a>.","short":"M. Fallahi, T. Strufe, P. Arias-Cabarcos, in: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, 2023.","bibtex":"@inproceedings{Fallahi_Strufe_Arias-Cabarcos_2023, title={BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks}, DOI={<a href=\"https://doi.org/10.1109/percom56429.2023.10099367\">10.1109/percom56429.2023.10099367</a>}, booktitle={2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)}, publisher={IEEE}, author={Fallahi, Matin and Strufe, Thorsten and Arias-Cabarcos, Patricia}, year={2023} }"},"publication_status":"published"},{"year":"2023","place":"New York, NY, USA","page":"129–139","citation":{"ama":"Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>","ieee":"R. P. Prager <i>et al.</i>, “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,” in <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 2023, pp. 129–139, doi: <a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>.","chicago":"Prager, Raphael Patrick, Konstantin Dietrich, Lennart Schneider, Lennart Schäpermeier, Bernd Bischl, Pascal Kerschke, Heike Trautmann, and Olaf Mersmann. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” In <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3594805.3607136\">https://doi.org/10.1145/3594805.3607136</a>.","bibtex":"@inproceedings{Prager_Dietrich_Schneider_Schäpermeier_Bischl_Kerschke_Trautmann_Mersmann_2023, place={New York, NY, USA}, series={FOGA ’23}, title={Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features}, DOI={<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>}, booktitle={Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms}, publisher={Association for Computing Machinery}, author={Prager, Raphael Patrick and Dietrich, Konstantin and Schneider, Lennart and Schäpermeier, Lennart and Bischl, Bernd and Kerschke, Pascal and Trautmann, Heike and Mersmann, Olaf}, year={2023}, pages={129–139}, collection={FOGA ’23} }","short":"R.P. Prager, K. Dietrich, L. Schneider, L. Schäpermeier, B. Bischl, P. Kerschke, H. Trautmann, O. Mersmann, in: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, New York, NY, USA, 2023, pp. 129–139.","mla":"Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, Association for Computing Machinery, 2023, pp. 129–139, doi:<a href=\"https://doi.org/10.1145/3594805.3607136\">10.1145/3594805.3607136</a>.","apa":"Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., &#38; Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. <i>Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms</i>, 129–139. <a href=\"https://doi.org/10.1145/3594805.3607136\">https://doi.org/10.1145/3594805.3607136</a>"},"publication_identifier":{"isbn":["9798400702020"]},"title":"Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features","doi":"10.1145/3594805.3607136","date_updated":"2023-10-16T12:33:02Z","publisher":"Association for Computing Machinery","date_created":"2023-09-27T15:43:17Z","author":[{"first_name":"Raphael Patrick","full_name":"Prager, Raphael Patrick","last_name":"Prager"},{"first_name":"Konstantin","full_name":"Dietrich, Konstantin","last_name":"Dietrich"},{"last_name":"Schneider","full_name":"Schneider, Lennart","first_name":"Lennart"},{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"last_name":"Bischl","full_name":"Bischl, Bernd","first_name":"Bernd"},{"full_name":"Kerschke, Pascal","last_name":"Kerschke","first_name":"Pascal"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann"},{"first_name":"Olaf","last_name":"Mersmann","full_name":"Mersmann, Olaf"}],"abstract":[{"text":"Artificial benchmark functions are commonly used in optimization research because of their ability to rapidly evaluate potential solutions, making them a preferred substitute for real-world problems. However, these benchmark functions have faced criticism for their limited resemblance to real-world problems. In response, recent research has focused on automatically generating new benchmark functions for areas where established test suites are inadequate. These approaches have limitations, such as the difficulty of generating new benchmark functions that exhibit exploratory landscape analysis (ELA) features beyond those of existing benchmarks.The objective of this work is to develop a method for generating benchmark functions for single-objective continuous optimization with user-specified structural properties. Specifically, we aim to demonstrate a proof of concept for a method that uses an ELA feature vector to specify these properties in advance. To achieve this, we begin by generating a random sample of decision space variables and objective values. We then adjust the objective values using CMA-ES until the corresponding features of our new problem match the predefined ELA features within a specified threshold. By iteratively transforming the landscape in this way, we ensure that the resulting function exhibits the desired properties. To create the final function, we use the resulting point cloud as training data for a simple neural network that produces a function exhibiting the target ELA features. We demonstrate the effectiveness of this approach by replicating the existing functions of the well-known BBOB suite and creating new functions with ELA feature values that are not present in BBOB.","lang":"eng"}],"status":"public","publication":"Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms","type":"conference","keyword":["Benchmarking","Instance Generator","Black-Box Continuous Optimization","Exploratory Landscape Analysis","Neural Networks"],"language":[{"iso":"eng"}],"_id":"47522","department":[{"_id":"34"},{"_id":"819"}],"user_id":"15504","series_title":"FOGA ’23"},{"language":[{"iso":"eng"}],"user_id":"15504","department":[{"_id":"819"},{"_id":"34"}],"_id":"46297","status":"public","abstract":[{"lang":"eng","text":"Exploratory landscape analysis (ELA) in single-objective black-box optimization relies on a comprehensive and large set of numerical features characterizing problem instances. Those foster problem understanding and serve as basis for constructing automated algorithm selection models choosing the best suited algorithm for a problem at hand based on the aforementioned features computed prior to optimization. This work specifically points to the sensitivity of a substantial proportion of these features to absolute objective values, i.e., we observe a lack of shift and scale invariance. We show that this unfortunately induces bias within automated algorithm selection models, an overfitting to specific benchmark problem sets used for training and thereby hinders generalization capabilities to unseen problems. We tackle these issues by presenting an appropriate objective normalization to be used prior to ELA feature computation and empirically illustrate the respective effectiveness focusing on the BBOB benchmark set."}],"editor":[{"first_name":"João","last_name":"Correia","full_name":"Correia, João"},{"first_name":"Stephen","full_name":"Smith, Stephen","last_name":"Smith"},{"full_name":"Qaddoura, Raneem","last_name":"Qaddoura","first_name":"Raneem"}],"type":"conference","publication":"Applications of Evolutionary Computation","title":"Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features","author":[{"full_name":"Prager, Raphael Patrick","last_name":"Prager","first_name":"Raphael Patrick"},{"orcid":"0000-0002-9788-8282","last_name":"Trautmann","full_name":"Trautmann, Heike","id":"100740","first_name":"Heike"}],"date_created":"2023-08-04T06:54:22Z","publisher":"Springer Nature Switzerland","date_updated":"2023-10-16T12:36:45Z","citation":{"chicago":"Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In <i>Applications of Evolutionary Computation</i>, edited by João Correia, Stephen Smith, and Raneem Qaddoura, 411–425. Cham: Springer Nature Switzerland, 2023.","ieee":"R. P. Prager and H. Trautmann, “Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features,” in <i>Applications of Evolutionary Computation</i>, 2023, pp. 411–425.","ama":"Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. <i>Applications of Evolutionary Computation</i>. Springer Nature Switzerland; 2023:411–425.","bibtex":"@inproceedings{Prager_Trautmann_2023, place={Cham}, title={Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features}, booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature Switzerland}, author={Prager, Raphael Patrick and Trautmann, Heike}, editor={Correia, João and Smith, Stephen and Qaddoura, Raneem}, year={2023}, pages={411–425} }","short":"R.P. Prager, H. Trautmann, in: J. Correia, S. Smith, R. Qaddoura (Eds.), Applications of Evolutionary Computation, Springer Nature Switzerland, Cham, 2023, pp. 411–425.","mla":"Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” <i>Applications of Evolutionary Computation</i>, edited by João Correia et al., Springer Nature Switzerland, 2023, pp. 411–425.","apa":"Prager, R. P., &#38; Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, &#38; R. Qaddoura (Eds.), <i>Applications of Evolutionary Computation</i> (pp. 411–425). Springer Nature Switzerland."},"page":"411–425","place":"Cham","year":"2023","publication_identifier":{"isbn":["978-3-031-30229-9"]}},{"user_id":"15504","department":[{"_id":"819"},{"_id":"34"}],"_id":"46298","language":[{"iso":"eng"}],"type":"conference","publication":"Evolutionary Multi-Criterion Optimization","status":"public","editor":[{"first_name":"Michael","full_name":"Emmerich, Michael","last_name":"Emmerich"},{"last_name":"Deutz","full_name":"Deutz, André","first_name":"André"},{"first_name":"Hao","full_name":"Wang, Hao","last_name":"Wang"},{"last_name":"Kononova","full_name":"Kononova, Anna V.","first_name":"Anna V."},{"full_name":"Naujoks, Boris","last_name":"Naujoks","first_name":"Boris"},{"first_name":"Ke","full_name":"Li, Ke","last_name":"Li"},{"last_name":"Miettinen","full_name":"Miettinen, Kaisa","first_name":"Kaisa"},{"last_name":"Yevseyeva","full_name":"Yevseyeva, Iryna","first_name":"Iryna"}],"abstract":[{"text":"The design and choice of benchmark suites are ongoing topics of discussion in the multi-objective optimization community. Some suites provide a good understanding of their Pareto sets and fronts, such as the well-known DTLZ and ZDT problems. However, they lack diversity in their landscape properties and do not provide a mechanism for creating multiple distinct problem instances. Other suites, like bi-objective BBOB, possess diverse and challenging landscape properties, but their optima are not well understood and can only be approximated empirically without any guarantees.","lang":"eng"}],"author":[{"first_name":"Lennart","last_name":"Schäpermeier","full_name":"Schäpermeier, Lennart"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"last_name":"Grimme","full_name":"Grimme, Christian","first_name":"Christian"},{"orcid":"0000-0002-9788-8282","last_name":"Trautmann","full_name":"Trautmann, Heike","id":"100740","first_name":"Heike"}],"date_created":"2023-08-04T06:56:10Z","publisher":"Springer Nature Switzerland","date_updated":"2023-10-16T12:36:17Z","title":"Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets","publication_identifier":{"isbn":["978-3-031-27250-9"]},"citation":{"ieee":"L. Schäpermeier, P. Kerschke, C. Grimme, and H. Trautmann, “Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets,” in <i>Evolutionary Multi-Criterion Optimization</i>, 2023, pp. 291–304.","chicago":"Schäpermeier, Lennart, Pascal Kerschke, Christian Grimme, and Heike Trautmann. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” In <i>Evolutionary Multi-Criterion Optimization</i>, edited by Michael Emmerich, André Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, and Iryna Yevseyeva, 291–304. Cham: Springer Nature Switzerland, 2023.","ama":"Schäpermeier L, Kerschke P, Grimme C, Trautmann H. Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In: Emmerich M, Deutz A, Wang H, et al., eds. <i>Evolutionary Multi-Criterion Optimization</i>. Springer Nature Switzerland; 2023:291–304.","mla":"Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” <i>Evolutionary Multi-Criterion Optimization</i>, edited by Michael Emmerich et al., Springer Nature Switzerland, 2023, pp. 291–304.","bibtex":"@inproceedings{Schäpermeier_Kerschke_Grimme_Trautmann_2023, place={Cham}, title={Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets}, booktitle={Evolutionary Multi-Criterion Optimization}, publisher={Springer Nature Switzerland}, author={Schäpermeier, Lennart and Kerschke, Pascal and Grimme, Christian and Trautmann, Heike}, editor={Emmerich, Michael and Deutz, André and Wang, Hao and Kononova, Anna V. and Naujoks, Boris and Li, Ke and Miettinen, Kaisa and Yevseyeva, Iryna}, year={2023}, pages={291–304} }","short":"L. Schäpermeier, P. Kerschke, C. Grimme, H. Trautmann, in: M. Emmerich, A. Deutz, H. Wang, A.V. Kononova, B. Naujoks, K. Li, K. Miettinen, I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization, Springer Nature Switzerland, Cham, 2023, pp. 291–304.","apa":"Schäpermeier, L., Kerschke, P., Grimme, C., &#38; Trautmann, H. (2023). Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets. In M. Emmerich, A. Deutz, H. Wang, A. V. Kononova, B. Naujoks, K. Li, K. Miettinen, &#38; I. Yevseyeva (Eds.), <i>Evolutionary Multi-Criterion Optimization</i> (pp. 291–304). Springer Nature Switzerland."},"page":"291–304","place":"Cham","year":"2023"},{"status":"public","abstract":[{"text":"The herein proposed Python package pflacco provides a set of numerical features to characterize single-objective continuous and constrained optimization problems. Thereby, pflacco addresses two major challenges in the area optimization. Firstly, it provides the means to develop an understanding of a given problem instance, which is crucial for designing, selecting, or configuring optimization algorithms in general. Secondly, these numerical features can be utilized in the research streams of automated algorithm selection and configuration. While the majority of these landscape features is already available in the R package flacco, our Python implementation offers these tools to an even wider audience and thereby promotes research interests and novel avenues in the area of optimization.","lang":"eng"}],"type":"journal_article","publication":"Evolutionary Computation","language":[{"iso":"eng"}],"user_id":"15504","department":[{"_id":"819"},{"_id":"34"}],"_id":"46299","citation":{"chicago":"Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” <i>Evolutionary Computation</i>, 2023, 1–25. <a href=\"https://doi.org/10.1162/evco_a_00341\">https://doi.org/10.1162/evco_a_00341</a>.","ieee":"R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,” <i>Evolutionary Computation</i>, pp. 1–25, 2023, doi: <a href=\"https://doi.org/10.1162/evco_a_00341\">10.1162/evco_a_00341</a>.","ama":"Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. <i>Evolutionary Computation</i>. Published online 2023:1–25. doi:<a href=\"https://doi.org/10.1162/evco_a_00341\">10.1162/evco_a_00341</a>","apa":"Prager, R. P., &#38; Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. <i>Evolutionary Computation</i>, 1–25. <a href=\"https://doi.org/10.1162/evco_a_00341\">https://doi.org/10.1162/evco_a_00341</a>","short":"R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25.","mla":"Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” <i>Evolutionary Computation</i>, 2023, pp. 1–25, doi:<a href=\"https://doi.org/10.1162/evco_a_00341\">10.1162/evco_a_00341</a>.","bibtex":"@article{Prager_Trautmann_2023, title={Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python}, DOI={<a href=\"https://doi.org/10.1162/evco_a_00341\">10.1162/evco_a_00341</a>}, journal={Evolutionary Computation}, author={Prager, Raphael Patrick and Trautmann, Heike}, year={2023}, pages={1–25} }"},"page":"1–25","year":"2023","publication_identifier":{"issn":["1063-6560"]},"doi":"10.1162/evco_a_00341","title":"Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python","date_created":"2023-08-04T07:01:33Z","author":[{"last_name":"Prager","full_name":"Prager, Raphael Patrick","first_name":"Raphael Patrick"},{"id":"100740","full_name":"Trautmann, Heike","last_name":"Trautmann","orcid":"0000-0002-9788-8282","first_name":"Heike"}],"date_updated":"2023-10-16T12:35:56Z"},{"editor":[{"full_name":"Slotta, J.D.","last_name":"Slotta","first_name":"J.D."},{"last_name":"Charles","full_name":"Charles, E.S.","first_name":"E.S."}],"status":"public","type":"conference","publication":"General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community","language":[{"iso":"eng"}],"_id":"48100","user_id":"30619","year":"2023","place":"Montreal, Canada","citation":{"chicago":"Wilkerson, Michelle, Dani Ben-Zvi, Michal Dvir, Camilla Matuk, Susanne Podworny, Amy Stephens, and Lucia Zapata-Cardona. “K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences.” In <i>General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community</i>, edited by J.D. Slotta and E.S. Charles, 76–79. Montreal, Canada: ISLS, 2023.","ieee":"M. Wilkerson <i>et al.</i>, “K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences,” in <i>General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community</i>, 2023, pp. 76–79.","ama":"Wilkerson M, Ben-Zvi D, Dvir M, et al. K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences. In: Slotta JD, Charles ES, eds. <i>General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community</i>. ISLS; 2023:76-79.","apa":"Wilkerson, M., Ben-Zvi, D., Dvir, M., Matuk, C., Podworny, S., Stephens, A., &#38; Zapata-Cardona, L. (2023). K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences. In J. D. Slotta &#38; E. S. Charles (Eds.), <i>General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community</i> (pp. 76–79). ISLS.","short":"M. Wilkerson, D. Ben-Zvi, M. Dvir, C. Matuk, S. Podworny, A. Stephens, L. Zapata-Cardona, in: J.D. Slotta, E.S. Charles (Eds.), General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community, ISLS, Montreal, Canada, 2023, pp. 76–79.","bibtex":"@inproceedings{Wilkerson_Ben-Zvi_Dvir_Matuk_Podworny_Stephens_Zapata-Cardona_2023, place={Montreal, Canada}, title={K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences}, booktitle={General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community}, publisher={ISLS}, author={Wilkerson, Michelle and Ben-Zvi, Dani and Dvir, Michal and Matuk, Camilla and Podworny, Susanne and Stephens, Amy and Zapata-Cardona, Lucia}, editor={Slotta, J.D. and Charles, E.S.}, year={2023}, pages={76–79} }","mla":"Wilkerson, Michelle, et al. “K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences.” <i>General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community</i>, edited by J.D. Slotta and E.S. Charles, ISLS, 2023, pp. 76–79."},"page":"76-79","publication_status":"published","title":"K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences","main_file_link":[{"open_access":"1","url":"https://doc-04-74-docs.googleusercontent.com/docs/securesc/cs6dja9n71n23dcr47cc0h46ailqf84e/v9gcvi3bsh1iqjp1n3vamanlqdfsrneu/1696845450000/10280060758242859305/07447188167945041155/1zbQRmsHckdpK5fbw0lG8MtZduwI7lfxh?e=download&ax=AA75yW513S5rLT1FW4M13UKFvmuo4BJS2k2uIDq5wRfYBSznAtFddPE-wYG9m-IvBaNZypuvFc8AvCqh6XMVKfupYvB1x0qpBc8pWC0QkYEo9xrFLzivFlQ5cOfX92Cw3H4bTQFZVX0w6vj5HCTJC-9YTIhL_xy0KKudCARtXzumhQqM7AN_rS7dT0_M2oOL9pRl08IQEvi__G6PEQK_uRZmAT4FKQC6vEzNfOiTPJ450TdS0JX0opDpV28wI8qFqrYrQul4Jebllj0pzBJwvQl4tv3yKnwroMZ8x1tB29rAKgcwd7CKoGttQMc8Rixr7HPwXUgcGK-PSRBAuyXDcQg5k3xRHoyqG2gbDf3tC-NU0Py0Qb8rKvA28Mv8EXyReN93qqom9gMc3cEzgvFM-gQaly2dj-sGZORNdYXkAWebZeciqDaxMEQCEdv9yvhQtwiwbfuo_83wc9zGJnJX819ZaI5Ywl_zbqC-5aE0WB285yh0B6CV4gFcbETq28cvZ19cgT7K_ejUfW6mmTZOiosL0gJyaQCA4uiZCE4lgAkNdD6jZu-_oJ2dwRswkmKCGVH4cEyHHNRBt1enKmEM_wscXmPCYnxCQ7SqkWVfVnfPgrsT1O-h4XoGDYyvi07olL20ODYS_lIgBh6YacnwQTAi2Z_Z9lA_HKL1H5NUiK8PGqiDtdmDZfIFtIPEmxC2cDvIbfeKVnz1E3GSUHsh4dgtXIO33lEE9_e_y48v7e89F4MufS4GH3NEcrTUQIMnLf2t-2tYP-HE8fHg_GYHfD3ZHf6tU4xFDtGgzHom1Yom8oqeZF4_O0ympPkFY7MwkEQo7HLLZhtXX8Db8vOsesuK1DXjCeyuEM6jJ6xFI8LYwlvH1KXqP-UzdXw1yPpFZoW3T7wks0Tl5j9juZdnRjGCtRhcPVA7pwbv9XQ&uuid=4ecff24a-a3a6-400c-936b-63d26c554c0d&authuser=0&nonce=7bgkfu2kh4rdo&user=07447188167945041155&hash=na9vnphmqv4copl57fmakbn8hfodrtbg"}],"publisher":"ISLS","oa":"1","date_updated":"2023-10-17T06:05:22Z","date_created":"2023-10-17T05:46:51Z","author":[{"full_name":"Wilkerson, Michelle","last_name":"Wilkerson","first_name":"Michelle"},{"last_name":"Ben-Zvi","full_name":"Ben-Zvi, Dani","first_name":"Dani"},{"last_name":"Dvir","full_name":"Dvir, Michal","first_name":"Michal"},{"first_name":"Camilla","full_name":"Matuk, Camilla","last_name":"Matuk"},{"full_name":"Podworny, Susanne","id":"30619","last_name":"Podworny","first_name":"Susanne"},{"first_name":"Amy","full_name":"Stephens, Amy","last_name":"Stephens"},{"last_name":"Zapata-Cardona","full_name":"Zapata-Cardona, Lucia","first_name":"Lucia"}]},{"status":"public","publication":"Advances in Mathematics Education","type":"book_chapter","_id":"48099","user_id":"30619","year":"2023","place":"Cham","citation":{"apa":"Podworny, S. (2023). Statistics and Probability Education in Germany. In <i>Advances in Mathematics Education</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-29459-4_4\">https://doi.org/10.1007/978-3-031-29459-4_4</a>","short":"S. Podworny, in: Advances in Mathematics Education, Springer International Publishing, Cham, 2023.","bibtex":"@inbook{Podworny_2023, place={Cham}, title={Statistics and Probability Education in Germany}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-29459-4_4\">10.1007/978-3-031-29459-4_4</a>}, booktitle={Advances in Mathematics Education}, publisher={Springer International Publishing}, author={Podworny, Susanne}, year={2023} }","mla":"Podworny, Susanne. “Statistics and Probability Education in Germany.” <i>Advances in Mathematics Education</i>, Springer International Publishing, 2023, doi:<a href=\"https://doi.org/10.1007/978-3-031-29459-4_4\">10.1007/978-3-031-29459-4_4</a>.","chicago":"Podworny, Susanne. “Statistics and Probability Education in Germany.” In <i>Advances in Mathematics Education</i>. Cham: Springer International Publishing, 2023. <a href=\"https://doi.org/10.1007/978-3-031-29459-4_4\">https://doi.org/10.1007/978-3-031-29459-4_4</a>.","ieee":"S. Podworny, “Statistics and Probability Education in Germany,” in <i>Advances in Mathematics Education</i>, Cham: Springer International Publishing, 2023.","ama":"Podworny S. Statistics and Probability Education in Germany. In: <i>Advances in Mathematics Education</i>. Springer International Publishing; 2023. doi:<a href=\"https://doi.org/10.1007/978-3-031-29459-4_4\">10.1007/978-3-031-29459-4_4</a>"},"publication_identifier":{"isbn":["9783031294587","9783031294594"],"issn":["1869-4918","1869-4926"]},"publication_status":"published","title":"Statistics and Probability Education in Germany","doi":"10.1007/978-3-031-29459-4_4","publisher":"Springer International Publishing","date_updated":"2023-10-17T06:02:39Z","date_created":"2023-10-17T05:43:00Z","author":[{"last_name":"Podworny","full_name":"Podworny, Susanne","first_name":"Susanne"}]},{"title":"Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s)","date_created":"2023-10-17T08:03:35Z","publisher":"Springer","year":"2023","quality_controlled":"1","language":[{"iso":"eng"}],"keyword":["Tax history","religious history: financial history","catholic church","history of economic thought"],"ddc":["900"],"file":[{"file_size":230625,"file_id":"48166","access_level":"closed","file_name":"Schönhärl Tax Morale Church_2023.pdf","date_updated":"2023-10-17T08:01:06Z","creator":"schoenha","date_created":"2023-10-17T08:01:06Z","success":1,"relation":"main_file","content_type":"application/pdf"}],"abstract":[{"text":"Paying taxes is a field of economic activity that has always been highly morally charged: the question of who pays how much or can avoid or evade the prescribed payments is always closely related to debate about a fair societal distribution of burdens. In the process of moralisation, therefore, faith communities such as the Catholic Church also repeatedly seized the floor to propagate certain norms. The article examines the contributions of theologians from Spain, the USA and West Germany in the 1940s and 1950s. It concludes that the norms of taxation they propagated differed greatly depending on the institutional and economic frameworks within which they operated. The analysis proves taxation to be a field of economic action and societal dispute where economics and morality are indissolubly interconnected.","lang":"eng"}],"publication":" Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century","main_file_link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-031-29834-9_12","open_access":"1"}],"author":[{"first_name":"Korinna","last_name":"Schönhärl","orcid":"0000-0002-7967-3261","id":"89037","full_name":"Schönhärl, Korinna"}],"oa":"1","date_updated":"2023-10-17T08:03:42Z","page":"237-258","jel":["B2"],"citation":{"ieee":"K. Schönhärl, “Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s),” in <i> Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century</i>, T. Skambraks and M. Lutz, Eds. New York: Springer, 2023, pp. 237–258.","chicago":"Schönhärl, Korinna. “Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s).” In <i> Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century</i>, edited by Tanja Skambraks and Martin Lutz, 237–58. Palgrave Studies in Economic History. New York: Springer, 2023.","ama":"Schönhärl K. Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s). In: Skambraks T, Lutz M, eds. <i> Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century</i>. Palgrave Studies in Economic History. Springer; 2023:237-258.","mla":"Schönhärl, Korinna. “Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s).” <i> Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century</i>, edited by Tanja Skambraks and Martin Lutz, Springer, 2023, pp. 237–58.","short":"K. Schönhärl, in: T. Skambraks, M. Lutz (Eds.),  Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century, Springer, New York, 2023, pp. 237–258.","bibtex":"@inbook{Schönhärl_2023, place={New York}, series={Palgrave Studies in Economic History}, title={Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s)}, booktitle={ Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century}, publisher={Springer}, author={Schönhärl, Korinna}, editor={Skambraks, Tanja and Lutz, Martin}, year={2023}, pages={237–258}, collection={Palgrave Studies in Economic History} }","apa":"Schönhärl, K. (2023). Tax Morale and the Church: How Catholic Clergies Adapted Norms of Paying Taxes to Secular Institutions (1940s–1950s). In T. Skambraks &#38; M. Lutz (Eds.), <i> Reassessing the Moral Economy  Religion and Economic Ethics from Ancient Greece to the 20th Century</i> (pp. 237–258). 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