---
_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'
...