--- _id: '48061' abstract: - lang: eng text: 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. author: - first_name: Patricia full_name: Arias-Cabarcos, Patricia last_name: Arias-Cabarcos - first_name: Saina full_name: Khalili, Saina last_name: Khalili - first_name: Thorsten full_name: Strufe, Thorsten last_name: Strufe citation: ama: 'Arias-Cabarcos P, Khalili S, Strufe T. ’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties. Proceedings on Privacy Enhancing Technologies. 2023;2023(1):384-399. doi:10.56553/popets-2023-0023' apa: 'Arias-Cabarcos, P., Khalili, S., & Strufe, T. (2023). ’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties. Proceedings on Privacy Enhancing Technologies, 2023(1), 384–399. https://doi.org/10.56553/popets-2023-0023' bibtex: '@article{Arias-Cabarcos_Khalili_Strufe_2023, title={’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties}, volume={2023}, DOI={10.56553/popets-2023-0023}, 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} }' chicago: 'Arias-Cabarcos, Patricia, Saina Khalili, and Thorsten Strufe. “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties.” Proceedings on Privacy Enhancing Technologies 2023, no. 1 (2023): 384–99. https://doi.org/10.56553/popets-2023-0023.' ieee: 'P. Arias-Cabarcos, S. Khalili, and T. Strufe, “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties,” Proceedings on Privacy Enhancing Technologies, vol. 2023, no. 1, pp. 384–399, 2023, doi: 10.56553/popets-2023-0023.' mla: 'Arias-Cabarcos, Patricia, et al. “’Surprised, Shocked, Worried’}: User Reactions to Facebook Data Collection from Third Parties.” Proceedings on Privacy Enhancing Technologies, vol. 2023, no. 1, Privacy Enhancing Technologies Symposium Advisory Board, 2023, pp. 384–99, doi:10.56553/popets-2023-0023.' short: P. Arias-Cabarcos, S. Khalili, T. Strufe, Proceedings on Privacy Enhancing Technologies 2023 (2023) 384–399. date_created: 2023-10-14T12:10:31Z date_updated: 2023-10-14T12:13:32Z doi: 10.56553/popets-2023-0023 intvolume: ' 2023' issue: '1' keyword: - General Medicine page: 384-399 publication: Proceedings on Privacy Enhancing Technologies publication_identifier: issn: - 2299-0984 publication_status: published publisher: Privacy Enhancing Technologies Symposium Advisory Board status: public title: '''Surprised, Shocked, Worried''}: User Reactions to Facebook Data Collection from Third Parties' type: journal_article user_id: '92804' volume: 2023 year: '2023' ... --- _id: '48059' author: - first_name: Fabian full_name: Winkel, Fabian last_name: Winkel - first_name: Oliver full_name: Wallscheid, Oliver id: '11291' last_name: Wallscheid orcid: https://orcid.org/0000-0001-9362-8777 - first_name: Peter full_name: Scholz, Peter last_name: Scholz - first_name: Joachim full_name: Böcker, Joachim id: '66' last_name: Böcker orcid: 0000-0002-8480-7295 citation: ama: Winkel F, Wallscheid O, Scholz P, Böcker J. Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society. Published online 2023:1-14. doi:10.1109/ojies.2023.3323870 apa: Winkel, F., Wallscheid, O., Scholz, P., & Böcker, J. (2023). Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays. IEEE Open Journal of the Industrial Electronics Society, 1–14. https://doi.org/10.1109/ojies.2023.3323870 bibtex: '@article{Winkel_Wallscheid_Scholz_Böcker_2023, title={Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays}, DOI={10.1109/ojies.2023.3323870}, 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} }' chicago: Winkel, Fabian, Oliver Wallscheid, Peter Scholz, and Joachim Böcker. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” IEEE Open Journal of the Industrial Electronics Society, 2023, 1–14. https://doi.org/10.1109/ojies.2023.3323870. ieee: 'F. Winkel, O. Wallscheid, P. Scholz, and J. Böcker, “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays,” IEEE Open Journal of the Industrial Electronics Society, pp. 1–14, 2023, doi: 10.1109/ojies.2023.3323870.' mla: Winkel, Fabian, et al. “Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays.” IEEE Open Journal of the Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/ojies.2023.3323870. short: F. Winkel, O. Wallscheid, P. Scholz, J. Böcker, IEEE Open Journal of the Industrial Electronics Society (2023) 1–14. date_created: 2023-10-14T12:03:38Z date_updated: 2023-10-14T12:16:35Z department: - _id: '52' doi: 10.1109/ojies.2023.3323870 keyword: - Electrical and Electronic Engineering - Industrial and Manufacturing Engineering - Control and Systems Engineering language: - iso: eng page: 1-14 publication: IEEE Open Journal of the Industrial Electronics Society publication_identifier: issn: - 2644-1284 publication_status: published publisher: Institute of Electrical and Electronics Engineers (IEEE) status: public title: Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays type: journal_article user_id: '66' year: '2023' ... --- _id: '48058' author: - first_name: Fabian full_name: Winkel, Fabian last_name: Winkel - first_name: Johannes full_name: Deuse-Kleinsteuber, Johannes last_name: Deuse-Kleinsteuber - first_name: Joachim full_name: Böcker, Joachim id: '66' last_name: Böcker orcid: 0000-0002-8480-7295 citation: ama: Winkel F, Deuse-Kleinsteuber J, Böcker J. Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability. Published online 2023:1-14. doi:10.1109/tr.2023.3255786 apa: Winkel, F., Deuse-Kleinsteuber, J., & Böcker, J. (2023). Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning. IEEE Transactions on Reliability, 1–14. https://doi.org/10.1109/tr.2023.3255786 bibtex: '@article{Winkel_Deuse-Kleinsteuber_Böcker_2023, title={Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning}, DOI={10.1109/tr.2023.3255786}, 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} }' chicago: Winkel, Fabian, Johannes Deuse-Kleinsteuber, and Joachim Böcker. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” IEEE Transactions on Reliability, 2023, 1–14. https://doi.org/10.1109/tr.2023.3255786. ieee: 'F. Winkel, J. Deuse-Kleinsteuber, and J. Böcker, “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning,” IEEE Transactions on Reliability, pp. 1–14, 2023, doi: 10.1109/tr.2023.3255786.' mla: Winkel, Fabian, et al. “Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning.” IEEE Transactions on Reliability, Institute of Electrical and Electronics Engineers (IEEE), 2023, pp. 1–14, doi:10.1109/tr.2023.3255786. short: F. Winkel, J. Deuse-Kleinsteuber, J. Böcker, IEEE Transactions on Reliability (2023) 1–14. date_created: 2023-10-14T12:01:41Z date_updated: 2023-10-14T12:16:48Z department: - _id: '52' doi: 10.1109/tr.2023.3255786 keyword: - Electrical and Electronic Engineering - Safety - Risk - Reliability and Quality language: - iso: eng page: 1-14 publication: IEEE Transactions on Reliability publication_identifier: issn: - 0018-9529 - 1558-1721 publication_status: published publisher: Institute of Electrical and Electronics Engineers (IEEE) status: public title: Run-to-Failure Relay Dataset for Predictive Maintenance Research With Machine Learning type: journal_article user_id: '66' year: '2023' ... --- _id: '48060' author: - first_name: Markus full_name: Röse, Markus last_name: Röse - first_name: Emiram full_name: Kablo, Emiram last_name: Kablo - first_name: Patricia full_name: Arias Cabarcos, Patricia id: '92804' last_name: Arias Cabarcos citation: ama: 'Röse M, Kablo E, Arias Cabarcos P. Overcoming Theory: Designing Brainwave Authentication for the Real World. In: Proceedings of the 2023 European Symposium on Usable Security. ACM; 2023. doi:10.1145/3617072.3617120' apa: 'Röse, M., Kablo, E., & Arias Cabarcos, P. (2023). Overcoming Theory: Designing Brainwave Authentication for the Real World. Proceedings of the 2023 European Symposium on Usable Security. https://doi.org/10.1145/3617072.3617120' bibtex: '@inproceedings{Röse_Kablo_Arias Cabarcos_2023, title={Overcoming Theory: Designing Brainwave Authentication for the Real World}, DOI={10.1145/3617072.3617120}, booktitle={Proceedings of the 2023 European Symposium on Usable Security}, publisher={ACM}, author={Röse, Markus and Kablo, Emiram and Arias Cabarcos, Patricia}, year={2023} }' chicago: 'Röse, Markus, Emiram Kablo, and Patricia Arias Cabarcos. “Overcoming Theory: Designing Brainwave Authentication for the Real World.” In Proceedings of the 2023 European Symposium on Usable Security. ACM, 2023. https://doi.org/10.1145/3617072.3617120.' ieee: 'M. Röse, E. Kablo, and P. Arias Cabarcos, “Overcoming Theory: Designing Brainwave Authentication for the Real World,” 2023, doi: 10.1145/3617072.3617120.' mla: 'Röse, Markus, et al. “Overcoming Theory: Designing Brainwave Authentication for the Real World.” Proceedings of the 2023 European Symposium on Usable Security, ACM, 2023, doi:10.1145/3617072.3617120.' short: 'M. Röse, E. Kablo, P. Arias Cabarcos, in: Proceedings of the 2023 European Symposium on Usable Security, ACM, 2023.' date_created: 2023-10-14T12:09:25Z date_updated: 2023-10-14T12:14:03Z doi: 10.1145/3617072.3617120 language: - iso: eng publication: Proceedings of the 2023 European Symposium on Usable Security publication_status: published publisher: ACM status: public title: 'Overcoming Theory: Designing Brainwave Authentication for the Real World' type: conference user_id: '92804' year: '2023' ... --- _id: '48062' author: - first_name: Matin full_name: Fallahi, Matin last_name: Fallahi - first_name: Thorsten full_name: Strufe, Thorsten last_name: Strufe - first_name: Patricia full_name: Arias-Cabarcos, Patricia last_name: Arias-Cabarcos citation: ama: 'Fallahi M, Strufe T, Arias-Cabarcos P. BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks. In: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE; 2023. doi:10.1109/percom56429.2023.10099367' apa: 'Fallahi, M., Strufe, T., & Arias-Cabarcos, P. (2023). BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks. 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom). https://doi.org/10.1109/percom56429.2023.10099367' bibtex: '@inproceedings{Fallahi_Strufe_Arias-Cabarcos_2023, title={BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks}, DOI={10.1109/percom56429.2023.10099367}, 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} }' chicago: 'Fallahi, Matin, Thorsten Strufe, and Patricia Arias-Cabarcos. “BrainNet: Improving Brainwave-Based Biometric Recognition with Siamese Networks.” In 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2023. https://doi.org/10.1109/percom56429.2023.10099367.' ieee: 'M. Fallahi, T. Strufe, and P. Arias-Cabarcos, “BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks,” 2023, doi: 10.1109/percom56429.2023.10099367.' mla: 'Fallahi, Matin, et al. “BrainNet: Improving Brainwave-Based Biometric Recognition with Siamese Networks.” 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, 2023, doi:10.1109/percom56429.2023.10099367.' short: 'M. Fallahi, T. Strufe, P. Arias-Cabarcos, in: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE, 2023.' date_created: 2023-10-14T12:10:54Z date_updated: 2023-10-14T12:13:12Z doi: 10.1109/percom56429.2023.10099367 publication: 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom) publication_status: published publisher: IEEE status: public title: 'BrainNet: Improving Brainwave-based Biometric Recognition with Siamese Networks' type: conference user_id: '92804' year: '2023' ... --- _id: '47522' abstract: - lang: eng 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. author: - first_name: Raphael Patrick full_name: Prager, Raphael Patrick last_name: Prager - first_name: Konstantin full_name: Dietrich, Konstantin last_name: Dietrich - first_name: Lennart full_name: Schneider, Lennart last_name: Schneider - first_name: Lennart full_name: Schäpermeier, Lennart last_name: Schäpermeier - first_name: Bernd full_name: Bischl, Bernd last_name: Bischl - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 - first_name: Olaf full_name: Mersmann, Olaf last_name: Mersmann citation: ama: 'Prager RP, Dietrich K, Schneider L, et al. Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. In: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. FOGA ’23. Association for Computing Machinery; 2023:129–139. doi:10.1145/3594805.3607136' apa: Prager, R. P., Dietrich, K., Schneider, L., Schäpermeier, L., Bischl, B., Kerschke, P., Trautmann, H., & Mersmann, O. (2023). Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features. Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. https://doi.org/10.1145/3594805.3607136 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={10.1145/3594805.3607136}, 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} }' 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 Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 129–139. FOGA ’23. New York, NY, USA: Association for Computing Machinery, 2023. https://doi.org/10.1145/3594805.3607136.' ieee: 'R. P. Prager et al., “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features,” in Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023, pp. 129–139, doi: 10.1145/3594805.3607136.' mla: Prager, Raphael Patrick, et al. “Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features.” Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, Association for Computing Machinery, 2023, pp. 129–139, doi:10.1145/3594805.3607136. 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.' date_created: 2023-09-27T15:43:17Z date_updated: 2023-10-16T12:33:02Z department: - _id: '34' - _id: '819' doi: 10.1145/3594805.3607136 keyword: - Benchmarking - Instance Generator - Black-Box Continuous Optimization - Exploratory Landscape Analysis - Neural Networks language: - iso: eng page: 129–139 place: New York, NY, USA publication: Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms publication_identifier: isbn: - '9798400702020' publisher: Association for Computing Machinery series_title: FOGA ’23 status: public title: Neural Networks as Black-Box Benchmark Functions Optimized for Exploratory Landscape Features type: conference user_id: '15504' year: '2023' ... --- _id: '46297' 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. author: - first_name: Raphael Patrick full_name: Prager, Raphael Patrick last_name: Prager - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 citation: ama: 'Prager RP, Trautmann H. Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In: Correia J, Smith S, Qaddoura R, eds. Applications of Evolutionary Computation. Springer Nature Switzerland; 2023:411–425.' apa: Prager, R. P., & Trautmann, H. (2023). Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features. In J. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation (pp. 411–425). Springer Nature Switzerland. 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} }' chicago: 'Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” In Applications of Evolutionary Computation, 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 Applications of Evolutionary Computation, 2023, pp. 411–425. mla: Prager, Raphael Patrick, and Heike Trautmann. “Nullifying the Inherent Bias of Non-Invariant Exploratory Landscape Analysis Features.” Applications of Evolutionary Computation, edited by João Correia et al., Springer Nature Switzerland, 2023, pp. 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.' date_created: 2023-08-04T06:54:22Z date_updated: 2023-10-16T12:36:45Z department: - _id: '819' - _id: '34' editor: - first_name: João full_name: Correia, João last_name: Correia - first_name: Stephen full_name: Smith, Stephen last_name: Smith - first_name: Raneem full_name: Qaddoura, Raneem last_name: Qaddoura language: - iso: eng page: 411–425 place: Cham publication: Applications of Evolutionary Computation publication_identifier: isbn: - 978-3-031-30229-9 publisher: Springer Nature Switzerland status: public title: Nullifying the Inherent Bias of Non-invariant Exploratory Landscape Analysis Features type: conference user_id: '15504' year: '2023' ... --- _id: '46298' abstract: - lang: eng 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. author: - first_name: Lennart full_name: Schäpermeier, Lennart last_name: Schäpermeier - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Christian full_name: Grimme, Christian last_name: Grimme - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 citation: 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. Evolutionary Multi-Criterion Optimization. Springer Nature Switzerland; 2023:291–304.' apa: Schäpermeier, L., Kerschke, P., Grimme, C., & 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, & I. Yevseyeva (Eds.), Evolutionary Multi-Criterion Optimization (pp. 291–304). Springer Nature Switzerland. 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} }' 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 Evolutionary Multi-Criterion Optimization, 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.' 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 Evolutionary Multi-Criterion Optimization, 2023, pp. 291–304. mla: Schäpermeier, Lennart, et al. “Peak-A-Boo! Generating Multi-Objective Multiple Peaks Benchmark Problems with Precise Pareto Sets.” Evolutionary Multi-Criterion Optimization, edited by Michael Emmerich et al., Springer Nature Switzerland, 2023, pp. 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.' date_created: 2023-08-04T06:56:10Z date_updated: 2023-10-16T12:36:17Z department: - _id: '819' - _id: '34' editor: - first_name: Michael full_name: Emmerich, Michael last_name: Emmerich - first_name: André full_name: Deutz, André last_name: Deutz - first_name: Hao full_name: Wang, Hao last_name: Wang - first_name: Anna V. full_name: Kononova, Anna V. last_name: Kononova - first_name: Boris full_name: Naujoks, Boris last_name: Naujoks - first_name: Ke full_name: Li, Ke last_name: Li - first_name: Kaisa full_name: Miettinen, Kaisa last_name: Miettinen - first_name: Iryna full_name: Yevseyeva, Iryna last_name: Yevseyeva language: - iso: eng page: 291–304 place: Cham publication: Evolutionary Multi-Criterion Optimization publication_identifier: isbn: - 978-3-031-27250-9 publisher: Springer Nature Switzerland status: public title: Peak-A-Boo! Generating Multi-objective Multiple Peaks Benchmark Problems with Precise Pareto Sets type: conference user_id: '15504' year: '2023' ... --- _id: '46299' abstract: - lang: eng 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. author: - first_name: Raphael Patrick full_name: Prager, Raphael Patrick last_name: Prager - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 citation: ama: 'Prager RP, Trautmann H. Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation. Published online 2023:1–25. doi:10.1162/evco_a_00341' apa: 'Prager, R. P., & Trautmann, H. (2023). Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python. Evolutionary Computation, 1–25. https://doi.org/10.1162/evco_a_00341' bibtex: '@article{Prager_Trautmann_2023, title={Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python}, DOI={10.1162/evco_a_00341}, journal={Evolutionary Computation}, author={Prager, Raphael Patrick and Trautmann, Heike}, year={2023}, pages={1–25} }' chicago: 'Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, 1–25. https://doi.org/10.1162/evco_a_00341.' ieee: 'R. P. Prager and H. Trautmann, “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python,” Evolutionary Computation, pp. 1–25, 2023, doi: 10.1162/evco_a_00341.' mla: 'Prager, Raphael Patrick, and Heike Trautmann. “Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python.” Evolutionary Computation, 2023, pp. 1–25, doi:10.1162/evco_a_00341.' short: R.P. Prager, H. Trautmann, Evolutionary Computation (2023) 1–25. date_created: 2023-08-04T07:01:33Z date_updated: 2023-10-16T12:35:56Z department: - _id: '819' - _id: '34' doi: 10.1162/evco_a_00341 language: - iso: eng page: 1–25 publication: Evolutionary Computation publication_identifier: issn: - 1063-6560 status: public title: 'Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python' type: journal_article user_id: '15504' year: '2023' ... --- _id: '48100' author: - first_name: Michelle full_name: Wilkerson, Michelle last_name: Wilkerson - first_name: Dani full_name: Ben-Zvi, Dani last_name: Ben-Zvi - first_name: Michal full_name: Dvir, Michal last_name: Dvir - first_name: Camilla full_name: Matuk, Camilla last_name: Matuk - first_name: Susanne full_name: Podworny, Susanne id: '30619' last_name: Podworny - first_name: Amy full_name: Stephens, Amy last_name: Stephens - first_name: Lucia full_name: Zapata-Cardona, Lucia last_name: Zapata-Cardona citation: 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. General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community. ISLS; 2023:76-79.' apa: 'Wilkerson, M., Ben-Zvi, D., Dvir, M., Matuk, C., Podworny, S., Stephens, A., & 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 & E. S. Charles (Eds.), General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community (pp. 76–79). ISLS.' 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} }' 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 General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community, edited by J.D. Slotta and E.S. Charles, 76–79. Montreal, Canada: ISLS, 2023.' ieee: 'M. Wilkerson et al., “K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences,” in General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community, 2023, pp. 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.” General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining Our Community, edited by J.D. Slotta and E.S. Charles, ISLS, 2023, pp. 76–79.' 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.' date_created: 2023-10-17T05:46:51Z date_updated: 2023-10-17T06:05:22Z editor: - first_name: J.D. full_name: Slotta, J.D. last_name: Slotta - first_name: E.S. full_name: Charles, E.S. last_name: Charles language: - iso: eng 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 oa: '1' page: 76-79 place: Montreal, Canada publication: 'General Proceedings of the ISLS Annual Meeting: Building Knowledge and Sustaining our Community' publication_status: published publisher: ISLS status: public title: 'K-12 Data Science Education: Outcomes of a National Workshop; International Perspectives; and Next Steps for the Learning Sciences' type: conference user_id: '30619' year: '2023' ...