---
_id: '47286'
author:
- first_name: Marco
full_name: Gutfleisch, Marco
last_name: Gutfleisch
- first_name: Jan H.
full_name: Klemmer, Jan H.
last_name: Klemmer
- first_name: Niklas
full_name: Busch, Niklas
last_name: Busch
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: M. Angela
full_name: Sasse, M. Angela
last_name: Sasse
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Gutfleisch M, Klemmer JH, Busch N, Acar Y, Sasse MA, Fahl S. How Does Usable
Security (Not) End Up in Software Products? Results From a Qualitative Interview
Study. In: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022. IEEE; 2022:893–910. doi:10.1109/SP46214.2022.9833756'
apa: Gutfleisch, M., Klemmer, J. H., Busch, N., Acar, Y., Sasse, M. A., & Fahl,
S. (2022). How Does Usable Security (Not) End Up in Software Products? Results
From a Qualitative Interview Study. 43rd IEEE Symposium on Security and Privacy,
SP 2022, San Francisco, CA, USA, May 22-26, 2022, 893–910. https://doi.org/10.1109/SP46214.2022.9833756
bibtex: '@inproceedings{Gutfleisch_Klemmer_Busch_Acar_Sasse_Fahl_2022, title={How
Does Usable Security (Not) End Up in Software Products? Results From a Qualitative
Interview Study}, DOI={10.1109/SP46214.2022.9833756},
booktitle={43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022}, publisher={IEEE}, author={Gutfleisch, Marco and Klemmer,
Jan H. and Busch, Niklas and Acar, Yasemin and Sasse, M. Angela and Fahl, Sascha},
year={2022}, pages={893–910} }'
chicago: Gutfleisch, Marco, Jan H. Klemmer, Niklas Busch, Yasemin Acar, M. Angela
Sasse, and Sascha Fahl. “How Does Usable Security (Not) End Up in Software Products?
Results From a Qualitative Interview Study.” In 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 893–910. IEEE,
2022. https://doi.org/10.1109/SP46214.2022.9833756.
ieee: 'M. Gutfleisch, J. H. Klemmer, N. Busch, Y. Acar, M. A. Sasse, and S. Fahl,
“How Does Usable Security (Not) End Up in Software Products? Results From a Qualitative
Interview Study,” in 43rd IEEE Symposium on Security and Privacy, SP 2022,
San Francisco, CA, USA, May 22-26, 2022, 2022, pp. 893–910, doi: 10.1109/SP46214.2022.9833756.'
mla: Gutfleisch, Marco, et al. “How Does Usable Security (Not) End Up in Software
Products? Results From a Qualitative Interview Study.” 43rd IEEE Symposium
on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022,
IEEE, 2022, pp. 893–910, doi:10.1109/SP46214.2022.9833756.
short: 'M. Gutfleisch, J.H. Klemmer, N. Busch, Y. Acar, M.A. Sasse, S. Fahl, in:
43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA,
May 22-26, 2022, IEEE, 2022, pp. 893–910.'
date_created: 2023-09-22T13:18:54Z
date_updated: 2024-06-05T12:53:00Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/SP46214.2022.9833756
extern: '1'
language:
- iso: eng
page: 893–910
publication: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022
publisher: IEEE
status: public
title: How Does Usable Security (Not) End Up in Software Products? Results From a
Qualitative Interview Study
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47287'
author:
- first_name: Christian
full_name: Stransky, Christian
last_name: Stransky
- first_name: Oliver
full_name: Wiese, Oliver
last_name: Wiese
- first_name: Volker
full_name: Roth, Volker
last_name: Roth
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Stransky C, Wiese O, Roth V, Acar Y, Fahl S. 27 Years and 81 Million Opportunities
Later: Investigating the Use of Email Encryption for an Entire University. In:
43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA,
May 22-26, 2022. IEEE; 2022:860–875. doi:10.1109/SP46214.2022.9833755'
apa: 'Stransky, C., Wiese, O., Roth, V., Acar, Y., & Fahl, S. (2022). 27 Years
and 81 Million Opportunities Later: Investigating the Use of Email Encryption
for an Entire University. 43rd IEEE Symposium on Security and Privacy, SP 2022,
San Francisco, CA, USA, May 22-26, 2022, 860–875. https://doi.org/10.1109/SP46214.2022.9833755'
bibtex: '@inproceedings{Stransky_Wiese_Roth_Acar_Fahl_2022, title={27 Years and
81 Million Opportunities Later: Investigating the Use of Email Encryption for
an Entire University}, DOI={10.1109/SP46214.2022.9833755},
booktitle={43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022}, publisher={IEEE}, author={Stransky, Christian and Wiese,
Oliver and Roth, Volker and Acar, Yasemin and Fahl, Sascha}, year={2022}, pages={860–875}
}'
chicago: 'Stransky, Christian, Oliver Wiese, Volker Roth, Yasemin Acar, and Sascha
Fahl. “27 Years and 81 Million Opportunities Later: Investigating the Use of Email
Encryption for an Entire University.” In 43rd IEEE Symposium on Security and
Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 860–875. IEEE,
2022. https://doi.org/10.1109/SP46214.2022.9833755.'
ieee: 'C. Stransky, O. Wiese, V. Roth, Y. Acar, and S. Fahl, “27 Years and 81 Million
Opportunities Later: Investigating the Use of Email Encryption for an Entire University,”
in 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA,
USA, May 22-26, 2022, 2022, pp. 860–875, doi: 10.1109/SP46214.2022.9833755.'
mla: 'Stransky, Christian, et al. “27 Years and 81 Million Opportunities Later:
Investigating the Use of Email Encryption for an Entire University.” 43rd IEEE
Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26,
2022, IEEE, 2022, pp. 860–875, doi:10.1109/SP46214.2022.9833755.'
short: 'C. Stransky, O. Wiese, V. Roth, Y. Acar, S. Fahl, in: 43rd IEEE Symposium
on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE,
2022, pp. 860–875.'
date_created: 2023-09-22T13:19:56Z
date_updated: 2024-06-05T12:53:20Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/SP46214.2022.9833755
extern: '1'
language:
- iso: eng
page: 860–875
publication: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022
publisher: IEEE
status: public
title: '27 Years and 81 Million Opportunities Later: Investigating the Use of Email
Encryption for an Entire University'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47283'
author:
- first_name: Harjot
full_name: Kaur, Harjot
last_name: Kaur
- first_name: Sabrina
full_name: Amft, Sabrina
last_name: Amft
- first_name: Daniel
full_name: Votipka, Daniel
last_name: Votipka
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Kaur H, Amft S, Votipka D, Acar Y, Fahl S. Where to Recruit for Security Development
Studies: Comparing Six Software Developer Samples. In: Butler KRB, Thomas K, eds.
31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August
10-12, 2022. USENIX Association; 2022:4041–4058.'
apa: 'Kaur, H., Amft, S., Votipka, D., Acar, Y., & Fahl, S. (2022). Where to
Recruit for Security Development Studies: Comparing Six Software Developer Samples.
In K. R. B. Butler & K. Thomas (Eds.), 31st USENIX Security Symposium,
USENIX Security 2022, Boston, MA, USA, August 10-12, 2022 (pp. 4041–4058).
USENIX Association.'
bibtex: '@inproceedings{Kaur_Amft_Votipka_Acar_Fahl_2022, title={Where to Recruit
for Security Development Studies: Comparing Six Software Developer Samples}, booktitle={31st
USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12,
2022}, publisher={USENIX Association}, author={Kaur, Harjot and Amft, Sabrina
and Votipka, Daniel and Acar, Yasemin and Fahl, Sascha}, editor={Butler, Kevin
R. B. and Thomas, Kurt}, year={2022}, pages={4041–4058} }'
chicago: 'Kaur, Harjot, Sabrina Amft, Daniel Votipka, Yasemin Acar, and Sascha Fahl.
“Where to Recruit for Security Development Studies: Comparing Six Software Developer
Samples.” In 31st USENIX Security Symposium, USENIX Security 2022, Boston,
MA, USA, August 10-12, 2022, edited by Kevin R. B. Butler and Kurt Thomas,
4041–4058. USENIX Association, 2022.'
ieee: 'H. Kaur, S. Amft, D. Votipka, Y. Acar, and S. Fahl, “Where to Recruit for
Security Development Studies: Comparing Six Software Developer Samples,” in 31st
USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA, August 10-12,
2022, 2022, pp. 4041–4058.'
mla: 'Kaur, Harjot, et al. “Where to Recruit for Security Development Studies: Comparing
Six Software Developer Samples.” 31st USENIX Security Symposium, USENIX Security
2022, Boston, MA, USA, August 10-12, 2022, edited by Kevin R. B. Butler and
Kurt Thomas, USENIX Association, 2022, pp. 4041–4058.'
short: 'H. Kaur, S. Amft, D. Votipka, Y. Acar, S. Fahl, in: K.R.B. Butler, K. Thomas
(Eds.), 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA,
August 10-12, 2022, USENIX Association, 2022, pp. 4041–4058.'
date_created: 2023-09-22T13:17:23Z
date_updated: 2024-06-05T12:53:43Z
department:
- _id: '34'
- _id: '858'
editor:
- first_name: Kevin R. B.
full_name: Butler, Kevin R. B.
last_name: Butler
- first_name: Kurt
full_name: Thomas, Kurt
last_name: Thomas
extern: '1'
language:
- iso: eng
page: 4041–4058
publication: 31st USENIX Security Symposium, USENIX Security 2022, Boston, MA, USA,
August 10-12, 2022
publisher: USENIX Association
status: public
title: 'Where to Recruit for Security Development Studies: Comparing Six Software
Developer Samples'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47290'
author:
- first_name: Nicolas
full_name: Huaman, Nicolas
last_name: Huaman
- first_name: Sabrina
full_name: Amft, Sabrina
last_name: Amft
- first_name: Marten
full_name: Oltrogge, Marten
last_name: Oltrogge
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Huaman N, Amft S, Oltrogge M, Acar Y, Fahl S. They Would Do Better If They
Worked Together: Interaction Problems Between Password Managers and the Web. IEEE
Secur Priv. 2022;20(2):49–60. doi:10.1109/MSEC.2021.3123795'
apa: 'Huaman, N., Amft, S., Oltrogge, M., Acar, Y., & Fahl, S. (2022). They
Would Do Better If They Worked Together: Interaction Problems Between Password
Managers and the Web. IEEE Secur. Priv., 20(2), 49–60. https://doi.org/10.1109/MSEC.2021.3123795'
bibtex: '@article{Huaman_Amft_Oltrogge_Acar_Fahl_2022, title={They Would Do Better
If They Worked Together: Interaction Problems Between Password Managers and the
Web}, volume={20}, DOI={10.1109/MSEC.2021.3123795},
number={2}, journal={IEEE Secur. Priv.}, author={Huaman, Nicolas and Amft, Sabrina
and Oltrogge, Marten and Acar, Yasemin and Fahl, Sascha}, year={2022}, pages={49–60}
}'
chicago: 'Huaman, Nicolas, Sabrina Amft, Marten Oltrogge, Yasemin Acar, and Sascha
Fahl. “They Would Do Better If They Worked Together: Interaction Problems Between
Password Managers and the Web.” IEEE Secur. Priv. 20, no. 2 (2022): 49–60.
https://doi.org/10.1109/MSEC.2021.3123795.'
ieee: 'N. Huaman, S. Amft, M. Oltrogge, Y. Acar, and S. Fahl, “They Would Do Better
If They Worked Together: Interaction Problems Between Password Managers and the
Web,” IEEE Secur. Priv., vol. 20, no. 2, pp. 49–60, 2022, doi: 10.1109/MSEC.2021.3123795.'
mla: 'Huaman, Nicolas, et al. “They Would Do Better If They Worked Together: Interaction
Problems Between Password Managers and the Web.” IEEE Secur. Priv., vol.
20, no. 2, 2022, pp. 49–60, doi:10.1109/MSEC.2021.3123795.'
short: N. Huaman, S. Amft, M. Oltrogge, Y. Acar, S. Fahl, IEEE Secur. Priv. 20 (2022)
49–60.
date_created: 2023-09-22T13:22:05Z
date_updated: 2024-06-05T12:54:05Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/MSEC.2021.3123795
extern: '1'
intvolume: ' 20'
issue: '2'
language:
- iso: eng
page: 49–60
publication: IEEE Secur. Priv.
status: public
title: 'They Would Do Better If They Worked Together: Interaction Problems Between
Password Managers and the Web'
type: journal_article
user_id: '14931'
volume: 20
year: '2022'
...
---
_id: '47843'
author:
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Noah
full_name: Wohler, Noah
last_name: Wohler
- first_name: Jan H.
full_name: Klemmer, Jan H.
last_name: Klemmer
- first_name: Marcel
full_name: Fourné, Marcel
id: '99291'
last_name: Fourné
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Wermke D, Wohler N, Klemmer JH, Fourné M, Acar Y, Fahl S. Committed to Trust:
A Qualitative Study on Security & Trust in Open Source Software Projects.
In: 2022 IEEE Symposium on Security and Privacy (SP). IEEE; 2022. doi:10.1109/sp46214.2022.9833686'
apa: 'Wermke, D., Wohler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl,
S. (2022). Committed to Trust: A Qualitative Study on Security & Trust
in Open Source Software Projects. 2022 IEEE Symposium on Security and Privacy
(SP). https://doi.org/10.1109/sp46214.2022.9833686'
bibtex: '@inproceedings{Wermke_Wohler_Klemmer_Fourné_Acar_Fahl_2022, title={Committed
to Trust: A Qualitative Study on Security & Trust in Open Source Software
Projects}, DOI={10.1109/sp46214.2022.9833686},
booktitle={2022 IEEE Symposium on Security and Privacy (SP)}, publisher={IEEE},
author={Wermke, Dominik and Wohler, Noah and Klemmer, Jan H. and Fourné, Marcel
and Acar, Yasemin and Fahl, Sascha}, year={2022} }'
chicago: 'Wermke, Dominik, Noah Wohler, Jan H. Klemmer, Marcel Fourné, Yasemin Acar,
and Sascha Fahl. “Committed to Trust: A Qualitative Study on Security &
Trust in Open Source Software Projects.” In 2022 IEEE Symposium on Security
and Privacy (SP). IEEE, 2022. https://doi.org/10.1109/sp46214.2022.9833686.'
ieee: 'D. Wermke, N. Wohler, J. H. Klemmer, M. Fourné, Y. Acar, and S. Fahl, “Committed
to Trust: A Qualitative Study on Security & Trust in Open Source Software
Projects,” 2022, doi: 10.1109/sp46214.2022.9833686.'
mla: 'Wermke, Dominik, et al. “Committed to Trust: A Qualitative Study on Security
& Trust in Open Source Software Projects.” 2022 IEEE Symposium on Security
and Privacy (SP), IEEE, 2022, doi:10.1109/sp46214.2022.9833686.'
short: 'D. Wermke, N. Wohler, J.H. Klemmer, M. Fourné, Y. Acar, S. Fahl, in: 2022
IEEE Symposium on Security and Privacy (SP), IEEE, 2022.'
date_created: 2023-10-06T16:12:18Z
date_updated: 2024-06-05T12:55:32Z
department:
- _id: '858'
doi: 10.1109/sp46214.2022.9833686
extern: '1'
language:
- iso: eng
publication: 2022 IEEE Symposium on Security and Privacy (SP)
publication_status: published
publisher: IEEE
status: public
title: 'Committed to Trust: A Qualitative Study on Security & Trust in Open Source
Software Projects'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47288'
author:
- first_name: Jan
full_name: Jancar, Jan
last_name: Jancar
- first_name: Marcel
full_name: Fourné, Marcel
last_name: Fourné
- first_name: Daniel De Almeida
full_name: Braga, Daniel De Almeida
last_name: Braga
- first_name: Mohamed
full_name: Sabt, Mohamed
last_name: Sabt
- first_name: Peter
full_name: Schwabe, Peter
last_name: Schwabe
- first_name: Gilles
full_name: Barthe, Gilles
last_name: Barthe
- first_name: Pierre-Alain
full_name: Fouque, Pierre-Alain
last_name: Fouque
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
citation:
ama: 'Jancar J, Fourné M, Braga DDA, et al. “They’re not that hard to mitigate”:
What Cryptographic Library Developers Think About Timing Attacks. In: 43rd
IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26,
2022. IEEE; 2022:632–649. doi:10.1109/SP46214.2022.9833713'
apa: 'Jancar, J., Fourné, M., Braga, D. D. A., Sabt, M., Schwabe, P., Barthe, G.,
Fouque, P.-A., & Acar, Y. (2022). “They’re not that hard to mitigate”: What
Cryptographic Library Developers Think About Timing Attacks. 43rd IEEE Symposium
on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022,
632–649. https://doi.org/10.1109/SP46214.2022.9833713'
bibtex: '@inproceedings{Jancar_Fourné_Braga_Sabt_Schwabe_Barthe_Fouque_Acar_2022,
title={“They’re not that hard to mitigate”: What Cryptographic Library Developers
Think About Timing Attacks}, DOI={10.1109/SP46214.2022.9833713},
booktitle={43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022}, publisher={IEEE}, author={Jancar, Jan and Fourné, Marcel
and Braga, Daniel De Almeida and Sabt, Mohamed and Schwabe, Peter and Barthe,
Gilles and Fouque, Pierre-Alain and Acar, Yasemin}, year={2022}, pages={632–649}
}'
chicago: 'Jancar, Jan, Marcel Fourné, Daniel De Almeida Braga, Mohamed Sabt, Peter
Schwabe, Gilles Barthe, Pierre-Alain Fouque, and Yasemin Acar. “‘They’re Not That
Hard to Mitigate’: What Cryptographic Library Developers Think About Timing Attacks.”
In 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA,
USA, May 22-26, 2022, 632–649. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833713.'
ieee: 'J. Jancar et al., “‘They’re not that hard to mitigate’: What Cryptographic
Library Developers Think About Timing Attacks,” in 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2022, pp. 632–649,
doi: 10.1109/SP46214.2022.9833713.'
mla: 'Jancar, Jan, et al. “‘They’re Not That Hard to Mitigate’: What Cryptographic
Library Developers Think About Timing Attacks.” 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022,
pp. 632–649, doi:10.1109/SP46214.2022.9833713.'
short: 'J. Jancar, M. Fourné, D.D.A. Braga, M. Sabt, P. Schwabe, G. Barthe, P.-A.
Fouque, Y. Acar, in: 43rd IEEE Symposium on Security and Privacy, SP 2022, San
Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 632–649.'
date_created: 2023-09-22T13:20:28Z
date_updated: 2024-06-05T13:20:54Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/SP46214.2022.9833713
extern: '1'
language:
- iso: eng
page: 632–649
publication: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022
publisher: IEEE
status: public
title: '"They’re not that hard to mitigate": What Cryptographic Library Developers
Think About Timing Attacks'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47285'
author:
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Noah
full_name: Wöhler, Noah
last_name: Wöhler
- first_name: Jan H.
full_name: Klemmer, Jan H.
last_name: Klemmer
- first_name: Marcel
full_name: Fourné, Marcel
last_name: Fourné
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Wermke D, Wöhler N, Klemmer JH, Fourné M, Acar Y, Fahl S. Committed to Trust:
A Qualitative Study on Security & Trust in Open Source Software Projects.
In: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA,
USA, May 22-26, 2022. IEEE; 2022:1880–1896. doi:10.1109/SP46214.2022.9833686'
apa: 'Wermke, D., Wöhler, N., Klemmer, J. H., Fourné, M., Acar, Y., & Fahl,
S. (2022). Committed to Trust: A Qualitative Study on Security & Trust in
Open Source Software Projects. 43rd IEEE Symposium on Security and Privacy,
SP 2022, San Francisco, CA, USA, May 22-26, 2022, 1880–1896. https://doi.org/10.1109/SP46214.2022.9833686'
bibtex: '@inproceedings{Wermke_Wöhler_Klemmer_Fourné_Acar_Fahl_2022, title={Committed
to Trust: A Qualitative Study on Security & Trust in Open Source Software
Projects}, DOI={10.1109/SP46214.2022.9833686},
booktitle={43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022}, publisher={IEEE}, author={Wermke, Dominik and Wöhler,
Noah and Klemmer, Jan H. and Fourné, Marcel and Acar, Yasemin and Fahl, Sascha},
year={2022}, pages={1880–1896} }'
chicago: 'Wermke, Dominik, Noah Wöhler, Jan H. Klemmer, Marcel Fourné, Yasemin Acar,
and Sascha Fahl. “Committed to Trust: A Qualitative Study on Security & Trust
in Open Source Software Projects.” In 43rd IEEE Symposium on Security and Privacy,
SP 2022, San Francisco, CA, USA, May 22-26, 2022, 1880–1896. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833686.'
ieee: 'D. Wermke, N. Wöhler, J. H. Klemmer, M. Fourné, Y. Acar, and S. Fahl, “Committed
to Trust: A Qualitative Study on Security & Trust in Open Source Software
Projects,” in 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022, 2022, pp. 1880–1896, doi: 10.1109/SP46214.2022.9833686.'
mla: 'Wermke, Dominik, et al. “Committed to Trust: A Qualitative Study on Security
& Trust in Open Source Software Projects.” 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022,
pp. 1880–1896, doi:10.1109/SP46214.2022.9833686.'
short: 'D. Wermke, N. Wöhler, J.H. Klemmer, M. Fourné, Y. Acar, S. Fahl, in: 43rd
IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26,
2022, IEEE, 2022, pp. 1880–1896.'
date_created: 2023-09-22T13:18:27Z
date_updated: 2024-06-05T13:34:37Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/SP46214.2022.9833686
extern: '1'
language:
- iso: eng
page: 1880–1896
publication: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022
publisher: IEEE
status: public
title: 'Committed to Trust: A Qualitative Study on Security & Trust in Open Source
Software Projects'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47284'
author:
- first_name: Collins W.
full_name: Munyendo, Collins W.
last_name: Munyendo
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Adam J.
full_name: Aviv, Adam J.
last_name: Aviv
citation:
ama: 'Munyendo CW, Acar Y, Aviv AJ. “Desperate Times Call for Desperate Measures”:
User Concerns with Mobile Loan Apps in Kenya. In: 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022. IEEE; 2022:2304–2319.
doi:10.1109/SP46214.2022.9833779'
apa: 'Munyendo, C. W., Acar, Y., & Aviv, A. J. (2022). “Desperate Times Call
for Desperate Measures”: User Concerns with Mobile Loan Apps in Kenya. 43rd
IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26,
2022, 2304–2319. https://doi.org/10.1109/SP46214.2022.9833779'
bibtex: '@inproceedings{Munyendo_Acar_Aviv_2022, title={“Desperate Times Call for
Desperate Measures”: User Concerns with Mobile Loan Apps in Kenya}, DOI={10.1109/SP46214.2022.9833779},
booktitle={43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022}, publisher={IEEE}, author={Munyendo, Collins W. and
Acar, Yasemin and Aviv, Adam J.}, year={2022}, pages={2304–2319} }'
chicago: 'Munyendo, Collins W., Yasemin Acar, and Adam J. Aviv. “‘Desperate Times
Call for Desperate Measures’: User Concerns with Mobile Loan Apps in Kenya.” In
43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA,
May 22-26, 2022, 2304–2319. IEEE, 2022. https://doi.org/10.1109/SP46214.2022.9833779.'
ieee: 'C. W. Munyendo, Y. Acar, and A. J. Aviv, “‘Desperate Times Call for Desperate
Measures’: User Concerns with Mobile Loan Apps in Kenya,” in 43rd IEEE Symposium
on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022,
2022, pp. 2304–2319, doi: 10.1109/SP46214.2022.9833779.'
mla: 'Munyendo, Collins W., et al. “‘Desperate Times Call for Desperate Measures’:
User Concerns with Mobile Loan Apps in Kenya.” 43rd IEEE Symposium on Security
and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022,
pp. 2304–2319, doi:10.1109/SP46214.2022.9833779.'
short: 'C.W. Munyendo, Y. Acar, A.J. Aviv, in: 43rd IEEE Symposium on Security and
Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, IEEE, 2022, pp. 2304–2319.'
date_created: 2023-09-22T13:18:01Z
date_updated: 2024-06-05T13:34:58Z
department:
- _id: '34'
- _id: '858'
doi: 10.1109/SP46214.2022.9833779
extern: '1'
language:
- iso: eng
page: 2304–2319
publication: 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco,
CA, USA, May 22-26, 2022
publisher: IEEE
status: public
title: '"Desperate Times Call for Desperate Measures": User Concerns with Mobile Loan
Apps in Kenya'
type: conference
user_id: '14931'
year: '2022'
...
---
_id: '47281'
author:
- first_name: Alexander
full_name: Krause, Alexander
last_name: Krause
- first_name: Jan H.
full_name: Klemmer, Jan H.
last_name: Klemmer
- first_name: Nicolas
full_name: Huaman, Nicolas
last_name: Huaman
- first_name: Dominik
full_name: Wermke, Dominik
last_name: Wermke
- first_name: Yasemin
full_name: Acar, Yasemin
id: '94636'
last_name: Acar
- first_name: Sascha
full_name: Fahl, Sascha
last_name: Fahl
citation:
ama: 'Krause A, Klemmer JH, Huaman N, Wermke D, Acar Y, Fahl S. Committed by Accident:
Studying Prevention and Remediation Strategies Against Secret Leakage in Source
Code Repositories. CoRR. 2022;abs/2211.06213. doi:10.48550/arXiv.2211.06213'
apa: 'Krause, A., Klemmer, J. H., Huaman, N., Wermke, D., Acar, Y., & Fahl,
S. (2022). Committed by Accident: Studying Prevention and Remediation Strategies
Against Secret Leakage in Source Code Repositories. CoRR, abs/2211.06213.
https://doi.org/10.48550/arXiv.2211.06213'
bibtex: '@article{Krause_Klemmer_Huaman_Wermke_Acar_Fahl_2022, title={Committed
by Accident: Studying Prevention and Remediation Strategies Against Secret Leakage
in Source Code Repositories}, volume={abs/2211.06213}, DOI={10.48550/arXiv.2211.06213},
journal={CoRR}, author={Krause, Alexander and Klemmer, Jan H. and Huaman, Nicolas
and Wermke, Dominik and Acar, Yasemin and Fahl, Sascha}, year={2022} }'
chicago: 'Krause, Alexander, Jan H. Klemmer, Nicolas Huaman, Dominik Wermke, Yasemin
Acar, and Sascha Fahl. “Committed by Accident: Studying Prevention and Remediation
Strategies Against Secret Leakage in Source Code Repositories.” CoRR abs/2211.06213
(2022). https://doi.org/10.48550/arXiv.2211.06213.'
ieee: 'A. Krause, J. H. Klemmer, N. Huaman, D. Wermke, Y. Acar, and S. Fahl, “Committed
by Accident: Studying Prevention and Remediation Strategies Against Secret Leakage
in Source Code Repositories,” CoRR, vol. abs/2211.06213, 2022, doi: 10.48550/arXiv.2211.06213.'
mla: 'Krause, Alexander, et al. “Committed by Accident: Studying Prevention and
Remediation Strategies Against Secret Leakage in Source Code Repositories.” CoRR,
vol. abs/2211.06213, 2022, doi:10.48550/arXiv.2211.06213.'
short: A. Krause, J.H. Klemmer, N. Huaman, D. Wermke, Y. Acar, S. Fahl, CoRR abs/2211.06213
(2022).
date_created: 2023-09-22T13:16:33Z
date_updated: 2024-06-05T13:36:09Z
department:
- _id: '34'
- _id: '858'
doi: 10.48550/arXiv.2211.06213
extern: '1'
language:
- iso: eng
publication: CoRR
status: public
title: 'Committed by Accident: Studying Prevention and Remediation Strategies Against
Secret Leakage in Source Code Repositories'
type: journal_article
user_id: '14931'
volume: abs/2211.06213
year: '2022'
...
---
_id: '46307'
abstract:
- lang: eng
text: Exploratory Landscape Analysis is a powerful technique for numerically characterizing
landscapes of single-objective continuous optimization problems. Landscape insights
are crucial both for problem understanding as well as for assessing benchmark
set diversity and composition. Despite the irrefutable usefulness of these features,
they suffer from their own ailments and downsides. Hence, in this work we provide
a collection of different approaches to characterize optimization landscapes.
Similar to conventional landscape features, we require a small initial sample.
However, instead of computing features based on that sample, we develop alternative
representations of the original sample. These range from point clouds to 2D images
and, therefore, are entirely feature-free. We demonstrate and validate our devised
methods on the BBOB testbed and predict, with the help of Deep Learning, the high-level,
expert-based landscape properties such as the degree of multimodality and the
existence of funnel structures. The quality of our approaches is on par with methods
relying on the traditional landscape features. Thereby, we provide an exciting
new perspective on every research area which utilizes problem information such
as problem understanding and algorithm design as well as automated algorithm configuration
and selection.
author:
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- 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
citation:
ama: 'Seiler M, Prager RP, Kerschke P, Trautmann H. A Collection of Deep Learning-based
Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness
Landscapes. In: Proceedings of the Genetic and Evolutionary Computation Conference.
Association for Computing Machinery; 2022:657–665. doi:10.1145/3512290.3528834'
apa: Seiler, M., Prager, R. P., Kerschke, P., & Trautmann, H. (2022). A Collection
of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective
Continuous Fitness Landscapes. Proceedings of the Genetic and Evolutionary
Computation Conference, 657–665. https://doi.org/10.1145/3512290.3528834
bibtex: '@inproceedings{Seiler_Prager_Kerschke_Trautmann_2022, place={New York,
NY, USA}, title={A Collection of Deep Learning-based Feature-Free Approaches for
Characterizing Single-Objective Continuous Fitness Landscapes}, DOI={10.1145/3512290.3528834},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
publisher={Association for Computing Machinery}, author={Seiler, Moritz and Prager,
Raphael Patrick and Kerschke, Pascal and Trautmann, Heike}, year={2022}, pages={657–665}
}'
chicago: 'Seiler, Moritz, Raphael Patrick Prager, Pascal Kerschke, and Heike Trautmann.
“A Collection of Deep Learning-Based Feature-Free Approaches for Characterizing
Single-Objective Continuous Fitness Landscapes.” In Proceedings of the Genetic
and Evolutionary Computation Conference, 657–665. New York, NY, USA: Association
for Computing Machinery, 2022. https://doi.org/10.1145/3512290.3528834.'
ieee: 'M. Seiler, R. P. Prager, P. Kerschke, and H. Trautmann, “A Collection of
Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective
Continuous Fitness Landscapes,” in Proceedings of the Genetic and Evolutionary
Computation Conference, 2022, pp. 657–665, doi: 10.1145/3512290.3528834.'
mla: Seiler, Moritz, et al. “A Collection of Deep Learning-Based Feature-Free Approaches
for Characterizing Single-Objective Continuous Fitness Landscapes.” Proceedings
of the Genetic and Evolutionary Computation Conference, Association for Computing
Machinery, 2022, pp. 657–665, doi:10.1145/3512290.3528834.
short: 'M. Seiler, R.P. Prager, P. Kerschke, H. Trautmann, in: Proceedings of the
Genetic and Evolutionary Computation Conference, Association for Computing Machinery,
New York, NY, USA, 2022, pp. 657–665.'
date_created: 2023-08-04T07:15:59Z
date_updated: 2024-06-07T07:13:23Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/3512290.3528834
language:
- iso: eng
page: 657–665
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
isbn:
- '9781450392372'
publisher: Association for Computing Machinery
status: public
title: A Collection of Deep Learning-based Feature-Free Approaches for Characterizing
Single-Objective Continuous Fitness Landscapes
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '46304'
abstract:
- lang: eng
text: In recent years, feature-based automated algorithm selection using exploratory
landscape analysis has demonstrated its great potential in single-objective continuous
black-box optimization. However, feature computation is problem-specific and can
be costly in terms of computational resources. This paper investigates feature-free
approaches that rely on state-of-the-art deep learning techniques operating on
either images or point clouds. We show that point-cloud-based strategies, in particular,
are highly competitive and also substantially reduce the size of the required
solver portfolio. Moreover, we highlight the effect and importance of cost-sensitive
learning in automated algorithm selection models.
author:
- first_name: Raphael Patrick
full_name: Prager, Raphael Patrick
last_name: Prager
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
citation:
ama: 'Prager RP, Seiler M, Trautmann H, Kerschke P. Automated Algorithm Selection
in Single-Objective Continuous Optimization: A Comparative Study of Deep Learning
and Landscape Analysis Methods. In: Rudolph G, Kononova AV, Aguirre H, Kerschke
P, Ochoa G, Tušar T, eds. Parallel Problem Solving from Nature — PPSN XVII.
Springer International Publishing; 2022:3–17. doi:10.1007/978-3-031-14714-2_1'
apa: 'Prager, R. P., Seiler, M., Trautmann, H., & Kerschke, P. (2022). Automated
Algorithm Selection in Single-Objective Continuous Optimization: A Comparative
Study of Deep Learning and Landscape Analysis Methods. In G. Rudolph, A. V. Kononova,
H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem
Solving from Nature — PPSN XVII (pp. 3–17). Springer International Publishing.
https://doi.org/10.1007/978-3-031-14714-2_1'
bibtex: '@inproceedings{Prager_Seiler_Trautmann_Kerschke_2022, place={Cham}, title={Automated
Algorithm Selection in Single-Objective Continuous Optimization: A Comparative
Study of Deep Learning and Landscape Analysis Methods}, DOI={10.1007/978-3-031-14714-2_1},
booktitle={Parallel Problem Solving from Nature — PPSN XVII}, publisher={Springer
International Publishing}, author={Prager, Raphael Patrick and Seiler, Moritz
and Trautmann, Heike and Kerschke, Pascal}, editor={Rudolph, Günter and Kononova,
Anna V. and Aguirre, Hernán and Kerschke, Pascal and Ochoa, Gabriela and Tušar,
Tea}, year={2022}, pages={3–17} }'
chicago: 'Prager, Raphael Patrick, Moritz Seiler, Heike Trautmann, and Pascal Kerschke.
“Automated Algorithm Selection in Single-Objective Continuous Optimization: A
Comparative Study of Deep Learning and Landscape Analysis Methods.” In Parallel
Problem Solving from Nature — PPSN XVII, edited by Günter Rudolph, Anna V.
Kononova, Hernán Aguirre, Pascal Kerschke, Gabriela Ochoa, and Tea Tušar, 3–17.
Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-14714-2_1.'
ieee: 'R. P. Prager, M. Seiler, H. Trautmann, and P. Kerschke, “Automated Algorithm
Selection in Single-Objective Continuous Optimization: A Comparative Study of
Deep Learning and Landscape Analysis Methods,” in Parallel Problem Solving
from Nature — PPSN XVII, 2022, pp. 3–17, doi: 10.1007/978-3-031-14714-2_1.'
mla: 'Prager, Raphael Patrick, et al. “Automated Algorithm Selection in Single-Objective
Continuous Optimization: A Comparative Study of Deep Learning and Landscape Analysis
Methods.” Parallel Problem Solving from Nature — PPSN XVII, edited by Günter
Rudolph et al., Springer International Publishing, 2022, pp. 3–17, doi:10.1007/978-3-031-14714-2_1.'
short: 'R.P. Prager, M. Seiler, H. Trautmann, P. Kerschke, in: G. Rudolph, A.V.
Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.), Parallel Problem
Solving from Nature — PPSN XVII, Springer International Publishing, Cham, 2022,
pp. 3–17.'
date_created: 2023-08-04T07:12:33Z
date_updated: 2024-06-07T07:13:47Z
department:
- _id: '34'
- _id: '819'
doi: 10.1007/978-3-031-14714-2_1
editor:
- first_name: Günter
full_name: Rudolph, Günter
last_name: Rudolph
- first_name: Anna V.
full_name: Kononova, Anna V.
last_name: Kononova
- first_name: Hernán
full_name: Aguirre, Hernán
last_name: Aguirre
- first_name: Pascal
full_name: Kerschke, Pascal
last_name: Kerschke
- first_name: Gabriela
full_name: Ochoa, Gabriela
last_name: Ochoa
- first_name: Tea
full_name: Tušar, Tea
last_name: Tušar
language:
- iso: eng
page: 3–17
place: Cham
publication: Parallel Problem Solving from Nature — PPSN XVII
publication_identifier:
isbn:
- 978-3-031-14714-2
publisher: Springer International Publishing
status: public
title: 'Automated Algorithm Selection in Single-Objective Continuous Optimization:
A Comparative Study of Deep Learning and Landscape Analysis Methods'
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '46303'
abstract:
- lang: eng
text: Social media platforms are essential for information sharing and, thus, prone
to coordinated dis- and misinformation campaigns. Nevertheless, research in this
area is hampered by strict data sharing regulations imposed by the platforms,
resulting in a lack of benchmark data. Previous work focused on circumventing
these rules by either pseudonymizing the data or sharing fragments. In this work,
we will address the benchmarking crisis by presenting a methodology that can be
used to create artificial campaigns out of original campaign building blocks.
We conduct a proof-of-concept study using the freely available generative language
model GPT-Neo in this context and demonstrate that the campaign patterns can flexibly
be adapted to an underlying social media stream and evade state-of-the-art campaign
detection approaches based on stream clustering. Thus, we not only provide a framework
for artificial benchmark generation but also demonstrate the possible adversarial
nature of such benchmarks for challenging and advancing current campaign detection
methods.
author:
- first_name: Janina Susanne
full_name: Pohl, Janina Susanne
last_name: Pohl
- first_name: Dennis
full_name: Assenmacher, Dennis
last_name: Assenmacher
- first_name: Moritz
full_name: Seiler, Moritz
id: '105520'
last_name: Seiler
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
- first_name: Christian
full_name: Grimme, Christian
last_name: Grimme
citation:
ama: 'Pohl JS, Assenmacher D, Seiler M, Trautmann H, Grimme C. Artificial Social
Media Campaign Creation for Benchmarking and Challenging Detection Approaches.
In: the Advancement of Artificial Intelligence (AAAI) Association for, ed. Workshop
Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM).
AAAI Press; 2022:1–10. doi:10.36190/2022.91'
apa: Pohl, J. S., Assenmacher, D., Seiler, M., Trautmann, H., & Grimme, C. (2022).
Artificial Social Media Campaign Creation for Benchmarking and Challenging Detection
Approaches. In for the Advancement of Artificial Intelligence (AAAI) Association
(Ed.), Workshop Proceedings of the 16$^th$ International Conference on Web
and Social Media (ICWSM) (pp. 1–10). AAAI Press. https://doi.org/10.36190/2022.91
bibtex: '@inproceedings{Pohl_Assenmacher_Seiler_Trautmann_Grimme_2022, place={Palo
Alto, CA, USA}, title={Artificial Social Media Campaign Creation for Benchmarking
and Challenging Detection Approaches}, DOI={10.36190/2022.91},
booktitle={Workshop Proceedings of the 16$^th$ International Conference on Web
and Social Media (ICWSM)}, publisher={AAAI Press}, author={Pohl, Janina Susanne
and Assenmacher, Dennis and Seiler, Moritz and Trautmann, Heike and Grimme, Christian},
editor={the Advancement of Artificial Intelligence (AAAI) Association, for}, year={2022},
pages={1–10} }'
chicago: 'Pohl, Janina Susanne, Dennis Assenmacher, Moritz Seiler, Heike Trautmann,
and Christian Grimme. “Artificial Social Media Campaign Creation for Benchmarking
and Challenging Detection Approaches.” In Workshop Proceedings of the 16$^th$
International Conference on Web and Social Media (ICWSM), edited by for the
Advancement of Artificial Intelligence (AAAI) Association, 1–10. Palo Alto, CA,
USA: AAAI Press, 2022. https://doi.org/10.36190/2022.91.'
ieee: 'J. S. Pohl, D. Assenmacher, M. Seiler, H. Trautmann, and C. Grimme, “Artificial
Social Media Campaign Creation for Benchmarking and Challenging Detection Approaches,”
in Workshop Proceedings of the 16$^th$ International Conference on Web and
Social Media (ICWSM), 2022, pp. 1–10, doi: 10.36190/2022.91.'
mla: Pohl, Janina Susanne, et al. “Artificial Social Media Campaign Creation for
Benchmarking and Challenging Detection Approaches.” Workshop Proceedings of
the 16$^th$ International Conference on Web and Social Media (ICWSM), edited
by for the Advancement of Artificial Intelligence (AAAI) Association, AAAI Press,
2022, pp. 1–10, doi:10.36190/2022.91.
short: 'J.S. Pohl, D. Assenmacher, M. Seiler, H. Trautmann, C. Grimme, in: for
the Advancement of Artificial Intelligence (AAAI) Association (Ed.), Workshop
Proceedings of the 16$^th$ International Conference on Web and Social Media (ICWSM),
AAAI Press, Palo Alto, CA, USA, 2022, pp. 1–10.'
date_created: 2023-08-04T07:11:34Z
date_updated: 2024-06-07T07:13:35Z
department:
- _id: '34'
- _id: '819'
doi: 10.36190/2022.91
editor:
- first_name: for
full_name: the Advancement of Artificial Intelligence (AAAI) Association, for
last_name: the Advancement of Artificial Intelligence (AAAI) Association
language:
- iso: eng
page: 1–10
place: Palo Alto, CA, USA
publication: Workshop Proceedings of the 16$^th$ International Conference on Web and
Social Media (ICWSM)
publisher: AAAI Press
status: public
title: Artificial Social Media Campaign Creation for Benchmarking and Challenging
Detection Approaches
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '46309'
abstract:
- lang: eng
text: Due to the rise of continuous data-generating applications, analyzing data
streams has gained increasing attention over the past decades. A core research
area in stream data is stream classification, which categorizes or detects data
points within an evolving stream of observations. Areas of stream classification
are diverse—ranging, e.g., from monitoring sensor data to analyzing a wide range
of (social) media applications. Research in stream classification is related to
developing methods that adapt to the changing and potentially volatile data stream.
It focuses on individual aspects of the stream classification pipeline, e.g.,
designing suitable algorithm architectures, an efficient train and test procedure,
or detecting so-called concept drifts. As a result of the many different research
questions and strands, the field is challenging to grasp, especially for beginners.
This survey explores, summarizes, and categorizes work within the domain of stream
classification and identifies core research threads over the past few years. It
is structured based on the stream classification process to facilitate coordination
within this complex topic, including common application scenarios and benchmarking
data sets. Thus, both newcomers to the field and experts who want to widen their
scope can gain (additional) insight into this research area and find starting
points and pointers to more in-depth literature on specific issues and research
directions in the field.
author:
- first_name: Lena
full_name: Clever, Lena
last_name: Clever
- first_name: Janina Susanne
full_name: Pohl, Janina Susanne
last_name: Pohl
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- 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
citation:
ama: 'Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream
Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(8):1–44.
doi:10.3390/app12189094'
apa: 'Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022).
Process-Oriented Stream Classification Pipeline: A Literature Review. Applied
Sciences, 12(8), 1–44. https://doi.org/10.3390/app12189094'
bibtex: '@article{Clever_Pohl_Bossek_Kerschke_Trautmann_2022, title={Process-Oriented
Stream Classification Pipeline: A Literature Review}, volume={12}, DOI={10.3390/app12189094},
number={8}, journal={Applied Sciences}, author={Clever, Lena and Pohl, Janina
Susanne and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2022},
pages={1–44} }'
chicago: 'Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and
Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature
Review.” Applied Sciences 12, no. 8 (2022): 1–44. https://doi.org/10.3390/app12189094.'
ieee: 'L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented
Stream Classification Pipeline: A Literature Review,” Applied Sciences,
vol. 12, no. 8, pp. 1–44, 2022, doi: 10.3390/app12189094.'
mla: 'Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature
Review.” Applied Sciences, vol. 12, no. 8, 2022, pp. 1–44, doi:10.3390/app12189094.'
short: L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences
12 (2022) 1–44.
date_created: 2023-08-04T07:17:23Z
date_updated: 2024-06-10T12:02:17Z
department:
- _id: '34'
- _id: '819'
doi: 10.3390/app12189094
intvolume: ' 12'
issue: '8'
language:
- iso: eng
page: 1–44
publication: Applied Sciences
status: public
title: 'Process-Oriented Stream Classification Pipeline: A Literature Review'
type: journal_article
user_id: '15504'
volume: 12
year: '2022'
...
---
_id: '46302'
author:
- first_name: J
full_name: Heins, J
last_name: Heins
- first_name: J
full_name: Rook, J
last_name: Rook
- first_name: L
full_name: Schäpermeier, L
last_name: Schäpermeier
- first_name: P
full_name: Kerschke, P
last_name: Kerschke
- first_name: Jakob
full_name: Bossek, Jakob
id: '102979'
last_name: Bossek
orcid: 0000-0002-4121-4668
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Heins J, Rook J, Schäpermeier L, Kerschke P, Bossek J, Trautmann H. BBE: Basin-Based
Evaluation of Multimodal Multi-objective Optimization Problems. In: Rudolph G,
Kononova A, Aguirre H, Kerschke P, Ochoa G, Tušar T, eds. Parallel Problem
Solving from Nature — PPSN XVII. Springer International Publishing; 2022:192–206.'
apa: 'Heins, J., Rook, J., Schäpermeier, L., Kerschke, P., Bossek, J., & Trautmann,
H. (2022). BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization
Problems. In G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, &
T. Tušar (Eds.), Parallel Problem Solving from Nature — PPSN XVII (pp.
192–206). Springer International Publishing.'
bibtex: '@inproceedings{Heins_Rook_Schäpermeier_Kerschke_Bossek_Trautmann_2022,
place={Cham}, title={BBE: Basin-Based Evaluation of Multimodal Multi-objective
Optimization Problems}, booktitle={Parallel Problem Solving from Nature — PPSN
XVII}, publisher={Springer International Publishing}, author={Heins, J and Rook,
J and Schäpermeier, L and Kerschke, P and Bossek, Jakob and Trautmann, Heike},
editor={Rudolph, G and Kononova, AV and Aguirre, H and Kerschke, P and Ochoa,
G and Tušar, T}, year={2022}, pages={192–206} }'
chicago: 'Heins, J, J Rook, L Schäpermeier, P Kerschke, Jakob Bossek, and Heike
Trautmann. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective Optimization
Problems.” In Parallel Problem Solving from Nature — PPSN XVII, edited
by G Rudolph, AV Kononova, H Aguirre, P Kerschke, G Ochoa, and T Tušar, 192–206.
Cham: Springer International Publishing, 2022.'
ieee: 'J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, and H. Trautmann,
“BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems,”
in Parallel Problem Solving from Nature — PPSN XVII, 2022, pp. 192–206.'
mla: 'Heins, J., et al. “BBE: Basin-Based Evaluation of Multimodal Multi-Objective
Optimization Problems.” Parallel Problem Solving from Nature — PPSN XVII,
edited by G Rudolph et al., Springer International Publishing, 2022, pp. 192–206.'
short: 'J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann,
in: G. Rudolph, A. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tušar (Eds.),
Parallel Problem Solving from Nature — PPSN XVII, Springer International Publishing,
Cham, 2022, pp. 192–206.'
date_created: 2023-08-04T07:10:52Z
date_updated: 2024-06-10T12:02:35Z
department:
- _id: '34'
- _id: '819'
editor:
- first_name: G
full_name: Rudolph, G
last_name: Rudolph
- first_name: AV
full_name: Kononova, AV
last_name: Kononova
- first_name: H
full_name: Aguirre, H
last_name: Aguirre
- first_name: P
full_name: Kerschke, P
last_name: Kerschke
- first_name: G
full_name: Ochoa, G
last_name: Ochoa
- first_name: T
full_name: Tušar, T
last_name: Tušar
language:
- iso: eng
page: 192–206
place: Cham
publication: Parallel Problem Solving from Nature — PPSN XVII
publication_identifier:
isbn:
- 978-3-031-14714-2
publisher: Springer International Publishing
status: public
title: 'BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems'
type: conference
user_id: '15504'
year: '2022'
...
---
_id: '55337'
abstract:
- lang: eng
text: As AI is more and more pervasive in everyday life, humans have an increasing
demand to understand its behavior and decisions. Most research on explainable
AI builds on the premise that there is one ideal explanation to be found. In fact,
however, everyday explanations are co-constructed in a dialogue between the person
explaining (the explainer) and the specific person being explained to (the explainee).
In this paper, we introduce a first corpus of dialogical explanations to enable
NLP research on how humans explain as well as on how AI can learn to imitate this
process. The corpus consists of 65 transcribed English dialogues from the Wired
video series 5 Levels, explaining 13 topics to five explainees of different proficiency.
All 1550 dialogue turns have been manually labeled by five independent professionals
for the topic discussed as well as for the dialogue act and the explanation move
performed. We analyze linguistic patterns of explainers and explainees, and we
explore differences across proficiency levels. BERT-based baseline results indicate
that sequence information helps predicting topics, acts, and moves effectively.
author:
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
citation:
ama: 'Wachsmuth H, Alshomary M. “Mama Always Had a Way of Explaining Things So I
Could Understand”: A Dialogue Corpus for Learning to Construct Explanations. In:
Calzolari N, Huang C-R, Kim H, et al., eds. Proceedings of the 29th International
Conference on Computational Linguistics. International Committee on Computational
Linguistics; 2022:344–354.'
apa: 'Wachsmuth, H., & Alshomary, M. (2022). “Mama Always Had a Way of Explaining
Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations.
In N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky, L. Wanner, K.-S. Choi, P.-M.
Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi, P. Paggio, N. Xue, S. Kim,
Y. Hahm, Z. He, T. K. Lee, E. Santus, F. Bond, & S.-H. Na (Eds.), Proceedings
of the 29th International Conference on Computational Linguistics (pp. 344–354).
International Committee on Computational Linguistics.'
bibtex: '@inproceedings{Wachsmuth_Alshomary_2022, place={Gyeongju, Republic of Korea},
title={“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue
Corpus for Learning to Construct Explanations}, booktitle={Proceedings of the
29th International Conference on Computational Linguistics}, publisher={International
Committee on Computational Linguistics}, author={Wachsmuth, Henning and Alshomary,
Milad}, editor={Calzolari, Nicoletta and Huang, Chu-Ren and Kim, Hansaem and Pustejovsky,
James and Wanner, Leo and Choi, Key-Sun and Ryu, Pum-Mo and Chen, Hsin-Hsi and
Donatelli, Lucia and Ji, Heng and et al.}, year={2022}, pages={344–354} }'
chicago: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.”
In Proceedings of the 29th International Conference on Computational Linguistics,
edited by Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky,
Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, et al., 344–354. Gyeongju, Republic of Korea:
International Committee on Computational Linguistics, 2022.'
ieee: 'H. Wachsmuth and M. Alshomary, “‘Mama Always Had a Way of Explaining Things
So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations,”
in Proceedings of the 29th International Conference on Computational Linguistics,
2022, pp. 344–354.'
mla: 'Wachsmuth, Henning, and Milad Alshomary. “‘Mama Always Had a Way of Explaining
Things So I Could Understand’: A Dialogue Corpus for Learning to Construct Explanations.”
Proceedings of the 29th International Conference on Computational Linguistics,
edited by Nicoletta Calzolari et al., International Committee on Computational
Linguistics, 2022, pp. 344–354.'
short: 'H. Wachsmuth, M. Alshomary, in: N. Calzolari, C.-R. Huang, H. Kim, J. Pustejovsky,
L. Wanner, K.-S. Choi, P.-M. Ryu, H.-H. Chen, L. Donatelli, H. Ji, S. Kurohashi,
P. Paggio, N. Xue, S. Kim, Y. Hahm, Z. He, T.K. Lee, E. Santus, F. Bond, S.-H.
Na (Eds.), Proceedings of the 29th International Conference on Computational Linguistics,
International Committee on Computational Linguistics, Gyeongju, Republic of Korea,
2022, pp. 344–354.'
date_created: 2024-07-22T13:05:42Z
date_updated: 2024-07-26T13:05:45Z
department:
- _id: '600'
- _id: '660'
editor:
- first_name: Nicoletta
full_name: Calzolari, Nicoletta
last_name: Calzolari
- first_name: Chu-Ren
full_name: Huang, Chu-Ren
last_name: Huang
- first_name: Hansaem
full_name: Kim, Hansaem
last_name: Kim
- first_name: James
full_name: Pustejovsky, James
last_name: Pustejovsky
- first_name: Leo
full_name: Wanner, Leo
last_name: Wanner
- first_name: Key-Sun
full_name: Choi, Key-Sun
last_name: Choi
- first_name: Pum-Mo
full_name: Ryu, Pum-Mo
last_name: Ryu
- first_name: Hsin-Hsi
full_name: Chen, Hsin-Hsi
last_name: Chen
- first_name: Lucia
full_name: Donatelli, Lucia
last_name: Donatelli
- first_name: Heng
full_name: Ji, Heng
last_name: Ji
- first_name: Sadao
full_name: Kurohashi, Sadao
last_name: Kurohashi
- first_name: Patrizia
full_name: Paggio, Patrizia
last_name: Paggio
- first_name: Nianwen
full_name: Xue, Nianwen
last_name: Xue
- first_name: Seokhwan
full_name: Kim, Seokhwan
last_name: Kim
- first_name: Younggyun
full_name: Hahm, Younggyun
last_name: Hahm
- first_name: Zhong
full_name: He, Zhong
last_name: He
- first_name: Tony Kyungil
full_name: Lee, Tony Kyungil
last_name: Lee
- first_name: Enrico
full_name: Santus, Enrico
last_name: Santus
- first_name: Francis
full_name: Bond, Francis
last_name: Bond
- first_name: Seung-Hoon
full_name: Na, Seung-Hoon
last_name: Na
language:
- iso: eng
page: 344–354
place: Gyeongju, Republic of Korea
project:
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 29th International Conference on Computational Linguistics
publisher: International Committee on Computational Linguistics
status: public
title: '“Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue
Corpus for Learning to Construct Explanations'
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '34067'
author:
- first_name: Meghdut
full_name: Sengupta, Meghdut
id: '99459'
last_name: Sengupta
- first_name: Milad
full_name: Alshomary, Milad
id: '73059'
last_name: Alshomary
- first_name: Henning
full_name: Wachsmuth, Henning
id: '3900'
last_name: Wachsmuth
citation:
ama: 'Sengupta M, Alshomary M, Wachsmuth H. Back to the Roots: Predicting the Source
Domain of Metaphors using Contrastive Learning. In: Proceedings of the 2022
Workshop on Figurative Language Processing. ; 2022.'
apa: 'Sengupta, M., Alshomary, M., & Wachsmuth, H. (2022). Back to the Roots:
Predicting the Source Domain of Metaphors using Contrastive Learning. Proceedings
of the 2022 Workshop on Figurative Language Processing.'
bibtex: '@inproceedings{Sengupta_Alshomary_Wachsmuth_2022, title={Back to the Roots:
Predicting the Source Domain of Metaphors using Contrastive Learning}, booktitle={Proceedings
of the 2022 Workshop on Figurative Language Processing}, author={Sengupta, Meghdut
and Alshomary, Milad and Wachsmuth, Henning}, year={2022} }'
chicago: 'Sengupta, Meghdut, Milad Alshomary, and Henning Wachsmuth. “Back to the
Roots: Predicting the Source Domain of Metaphors Using Contrastive Learning.”
In Proceedings of the 2022 Workshop on Figurative Language Processing,
2022.'
ieee: 'M. Sengupta, M. Alshomary, and H. Wachsmuth, “Back to the Roots: Predicting
the Source Domain of Metaphors using Contrastive Learning,” 2022.'
mla: 'Sengupta, Meghdut, et al. “Back to the Roots: Predicting the Source Domain
of Metaphors Using Contrastive Learning.” Proceedings of the 2022 Workshop
on Figurative Language Processing, 2022.'
short: 'M. Sengupta, M. Alshomary, H. Wachsmuth, in: Proceedings of the 2022 Workshop
on Figurative Language Processing, 2022.'
date_created: 2022-11-14T08:49:07Z
date_updated: 2024-07-26T13:08:46Z
department:
- _id: '600'
- _id: '660'
language:
- iso: eng
project:
- _id: '127'
name: 'TRR 318 - C4: TRR 318 - Subproject C4 - Metaphern als Werkzeug des Erklärens'
publication: Proceedings of the 2022 Workshop on Figurative Language Processing
status: public
title: 'Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive
Learning'
type: conference
user_id: '3900'
year: '2022'
...
---
_id: '35674'
abstract:
- lang: eng
text: We report on our work with students in our data science courses, focusing
on the analysis of students’ results. This study represents an in-depth analysis
of students’ creation and documentation of machine learning models. The students
were supported by educationally designed Jupyter Notebooks, which are used as
worked examples. Using the worked example, students document their results in
a so-called computational essay. We examine which aspects of creating computational
essays are difficult for students to find out how worked examples should be designed
to support students without being too prescriptive. We analyze the computational
essays produced by students and draw consequences for redesigning our worked example.
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Susanne
full_name: Podworny, Susanne
id: '30619'
last_name: Podworny
orcid: 0000-0002-6313-5987
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Fleischer FY, Hüsing S, Biehler R, Podworny S, Schulte C. Jupyter Notebooks
for Teaching, Learning, and Doing Data Science. In: Peters SA, Zapata-Cardona
L, Bonafini F, Fan A, eds. Bridging the Gap: Empowering and Educating Today’s
Learners in Statistics. Proceedings of the Eleventh International Conference on
Teaching Statistics. International Association for Statistical Education;
2022. doi:10.52041/iase.icots11.t10e3'
apa: 'Fleischer, F. Y., Hüsing, S., Biehler, R., Podworny, S., & Schulte, C.
(2022). Jupyter Notebooks for Teaching, Learning, and Doing Data Science. In S.
A. Peters, L. Zapata-Cardona, F. Bonafini, & A. Fan (Eds.), Bridging the
Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the
Eleventh International Conference on Teaching Statistics. International Association
for Statistical Education. https://doi.org/10.52041/iase.icots11.t10e3'
bibtex: '@inproceedings{Fleischer_Hüsing_Biehler_Podworny_Schulte_2022, title={Jupyter
Notebooks for Teaching, Learning, and Doing Data Science}, DOI={10.52041/iase.icots11.t10e3},
booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics},
publisher={International Association for Statistical Education}, author={Fleischer,
Franz Yannik and Hüsing, Sven and Biehler, Rolf and Podworny, Susanne and Schulte,
Carsten}, editor={Peters, S. A. and Zapata-Cardona, L. and Bonafini, F. and Fan,
A.}, year={2022} }'
chicago: 'Fleischer, Franz Yannik, Sven Hüsing, Rolf Biehler, Susanne Podworny,
and Carsten Schulte. “Jupyter Notebooks for Teaching, Learning, and Doing Data
Science.” In Bridging the Gap: Empowering and Educating Today’s Learners in
Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics,
edited by S. A. Peters, L. Zapata-Cardona, F. Bonafini, and A. Fan. International
Association for Statistical Education, 2022. https://doi.org/10.52041/iase.icots11.t10e3.'
ieee: 'F. Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, and C. Schulte, “Jupyter
Notebooks for Teaching, Learning, and Doing Data Science,” in Bridging the
Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the
Eleventh International Conference on Teaching Statistics, 2022, doi: 10.52041/iase.icots11.t10e3.'
mla: 'Fleischer, Franz Yannik, et al. “Jupyter Notebooks for Teaching, Learning,
and Doing Data Science.” Bridging the Gap: Empowering and Educating Today’s
Learners in Statistics. Proceedings of the Eleventh International Conference on
Teaching Statistics, edited by S. A. Peters et al., International Association
for Statistical Education, 2022, doi:10.52041/iase.icots11.t10e3.'
short: 'F.Y. Fleischer, S. Hüsing, R. Biehler, S. Podworny, C. Schulte, in: S.A.
Peters, L. Zapata-Cardona, F. Bonafini, A. Fan (Eds.), Bridging the Gap: Empowering
and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International
Conference on Teaching Statistics, International Association for Statistical Education,
2022.'
date_created: 2023-01-10T08:50:47Z
date_updated: 2024-08-21T10:03:47Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/iase.icots11.t10e3
editor:
- first_name: S. A.
full_name: Peters, S. A.
last_name: Peters
- first_name: L.
full_name: Zapata-Cardona, L.
last_name: Zapata-Cardona
- first_name: F.
full_name: Bonafini, F.
last_name: Bonafini
- first_name: A.
full_name: Fan, A.
last_name: Fan
language:
- iso: eng
publication: 'Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics'
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Jupyter Notebooks for Teaching, Learning, and Doing Data Science
type: conference
user_id: '37888'
year: '2022'
...
---
_id: '35672'
abstract:
- lang: eng
text: This study examines modelling with machine learning. In the context
of a yearlong data science course, the study explores how upper secondary students
apply machine learning with Jupyter Notebooks and document the modelling process
as a computational essay incorporating the different steps of the CRISP-DM cycle.
The students’ work is based on a teaching module about decision trees in machine
learning and a worked example of such a modelling process. The study outlines
the students’ performance in carrying out the machine learning technically and
reasoning about bias in the data, different data preparation steps, the application
context, and the resulting decision model. Furthermore, the context of the study
and the theoretical backgrounds are presented.
article_number: '7'
author:
- first_name: Franz Yannik
full_name: Fleischer, Franz Yannik
id: '42660'
last_name: Fleischer
orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Rolf
full_name: Biehler, Rolf
id: '16274'
last_name: Biehler
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine
Learning with Educationally Designed Jupyter Notebooks. Statistics Education
Research Journal. 2022;21(2). doi:10.52041/serj.v21i2.61
apa: Fleischer, F. Y., Biehler, R., & Schulte, C. (2022). Teaching and Learning
Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. Statistics
Education Research Journal, 21(2), Article 7. https://doi.org/10.52041/serj.v21i2.61
bibtex: '@article{Fleischer_Biehler_Schulte_2022, title={Teaching and Learning Data-Driven
Machine Learning with Educationally Designed Jupyter Notebooks}, volume={21},
DOI={10.52041/serj.v21i2.61},
number={27}, journal={Statistics Education Research Journal}, publisher={International
Association for Statistical Education}, author={Fleischer, Franz Yannik and Biehler,
Rolf and Schulte, Carsten}, year={2022} }'
chicago: Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and
Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”
Statistics Education Research Journal 21, no. 2 (2022). https://doi.org/10.52041/serj.v21i2.61.
ieee: 'F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven
Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics
Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.'
mla: Fleischer, Franz Yannik, et al. “Teaching and Learning Data-Driven Machine
Learning with Educationally Designed Jupyter Notebooks.” Statistics Education
Research Journal, vol. 21, no. 2, 7, International Association for Statistical
Education, 2022, doi:10.52041/serj.v21i2.61.
short: F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal
21 (2022).
date_created: 2023-01-10T08:48:23Z
date_updated: 2024-08-21T10:04:41Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/serj.v21i2.61
intvolume: ' 21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: Statistics Education Research Journal
publication_identifier:
issn:
- 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Teaching and Learning Data-Driven Machine Learning with Educationally Designed
Jupyter Notebooks
type: journal_article
user_id: '37888'
volume: 21
year: '2022'
...
---
_id: '34716'
author:
- first_name: Philipp
full_name: Terhörst, Philipp
id: '97123'
last_name: Terhörst
- first_name: Jan Niklas
full_name: Kolf, Jan Niklas
last_name: Kolf
- first_name: Marco
full_name: Huber, Marco
last_name: Huber
- first_name: Florian
full_name: Kirchbuchner, Florian
last_name: Kirchbuchner
- first_name: Naser
full_name: Damer, Naser
last_name: Damer
- first_name: Aythami Morales
full_name: Moreno, Aythami Morales
last_name: Moreno
- first_name: Julian
full_name: Fierrez, Julian
last_name: Fierrez
- first_name: Arjan
full_name: Kuijper, Arjan
last_name: Kuijper
citation:
ama: Terhörst P, Kolf JN, Huber M, et al. A Comprehensive Study on Face Recognition
Biases Beyond Demographics. IEEE Transactions on Technology and Society.
2022;3(1):16-30. doi:10.1109/TTS.2021.3111823
apa: Terhörst, P., Kolf, J. N., Huber, M., Kirchbuchner, F., Damer, N., Moreno,
A. M., Fierrez, J., & Kuijper, A. (2022). A Comprehensive Study on Face Recognition
Biases Beyond Demographics. IEEE Transactions on Technology and Society,
3(1), 16–30. https://doi.org/10.1109/TTS.2021.3111823
bibtex: '@article{Terhörst_Kolf_Huber_Kirchbuchner_Damer_Moreno_Fierrez_Kuijper_2022,
title={A Comprehensive Study on Face Recognition Biases Beyond Demographics},
volume={3}, DOI={10.1109/TTS.2021.3111823},
number={1}, journal={IEEE Transactions on Technology and Society}, author={Terhörst,
Philipp and Kolf, Jan Niklas and Huber, Marco and Kirchbuchner, Florian and Damer,
Naser and Moreno, Aythami Morales and Fierrez, Julian and Kuijper, Arjan}, year={2022},
pages={16–30} }'
chicago: 'Terhörst, Philipp, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner,
Naser Damer, Aythami Morales Moreno, Julian Fierrez, and Arjan Kuijper. “A Comprehensive
Study on Face Recognition Biases Beyond Demographics.” IEEE Transactions on
Technology and Society 3, no. 1 (2022): 16–30. https://doi.org/10.1109/TTS.2021.3111823.'
ieee: 'P. Terhörst et al., “A Comprehensive Study on Face Recognition Biases
Beyond Demographics,” IEEE Transactions on Technology and Society, vol.
3, no. 1, pp. 16–30, 2022, doi: 10.1109/TTS.2021.3111823.'
mla: Terhörst, Philipp, et al. “A Comprehensive Study on Face Recognition Biases
Beyond Demographics.” IEEE Transactions on Technology and Society, vol.
3, no. 1, 2022, pp. 16–30, doi:10.1109/TTS.2021.3111823.
short: P. Terhörst, J.N. Kolf, M. Huber, F. Kirchbuchner, N. Damer, A.M. Moreno,
J. Fierrez, A. Kuijper, IEEE Transactions on Technology and Society 3 (2022) 16–30.
date_created: 2022-12-21T12:30:34Z
date_updated: 2023-01-17T09:15:42Z
department:
- _id: '761'
doi: 10.1109/TTS.2021.3111823
intvolume: ' 3'
issue: '1'
language:
- iso: eng
page: 16-30
publication: IEEE Transactions on Technology and Society
status: public
title: A Comprehensive Study on Face Recognition Biases Beyond Demographics
type: journal_article
user_id: '14931'
volume: 3
year: '2022'
...
---
_id: '34710'
author:
- first_name: Marco
full_name: Huber, Marco
last_name: Huber
- first_name: Philipp
full_name: Terhörst, Philipp
id: '97123'
last_name: Terhörst
- first_name: Anh Thi
full_name: Luu, Anh Thi
last_name: Luu
- first_name: Florian
full_name: Kirchbuchner, Florian
last_name: Kirchbuchner
- first_name: Naser
full_name: Damer, Naser
last_name: Damer
citation:
ama: 'Huber M, Terhörst P, Luu AT, Kirchbuchner F, Damer N. Verification of Sitter
Identity Across Historical Portrait Paintings by Confidence-aware Face Recognition.
In: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal,
QC, Canada, August 21-25, 2022. IEEE; 2022:938–944. doi:10.1109/ICPR56361.2022.9956452'
apa: Huber, M., Terhörst, P., Luu, A. T., Kirchbuchner, F., & Damer, N. (2022).
Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware
Face Recognition. 26th International Conference on Pattern Recognition, ICPR
2022, Montreal, QC, Canada, August 21-25, 2022, 938–944. https://doi.org/10.1109/ICPR56361.2022.9956452
bibtex: '@inproceedings{Huber_Terhörst_Luu_Kirchbuchner_Damer_2022, title={Verification
of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face
Recognition}, DOI={10.1109/ICPR56361.2022.9956452},
booktitle={26th International Conference on Pattern Recognition, ICPR 2022, Montreal,
QC, Canada, August 21-25, 2022}, publisher={IEEE}, author={Huber, Marco and Terhörst,
Philipp and Luu, Anh Thi and Kirchbuchner, Florian and Damer, Naser}, year={2022},
pages={938–944} }'
chicago: Huber, Marco, Philipp Terhörst, Anh Thi Luu, Florian Kirchbuchner, and
Naser Damer. “Verification of Sitter Identity Across Historical Portrait Paintings
by Confidence-Aware Face Recognition.” In 26th International Conference on
Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022,
938–944. IEEE, 2022. https://doi.org/10.1109/ICPR56361.2022.9956452.
ieee: 'M. Huber, P. Terhörst, A. T. Luu, F. Kirchbuchner, and N. Damer, “Verification
of Sitter Identity Across Historical Portrait Paintings by Confidence-aware Face
Recognition,” in 26th International Conference on Pattern Recognition, ICPR
2022, Montreal, QC, Canada, August 21-25, 2022, 2022, pp. 938–944, doi: 10.1109/ICPR56361.2022.9956452.'
mla: Huber, Marco, et al. “Verification of Sitter Identity Across Historical Portrait
Paintings by Confidence-Aware Face Recognition.” 26th International Conference
on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25, 2022,
IEEE, 2022, pp. 938–944, doi:10.1109/ICPR56361.2022.9956452.
short: 'M. Huber, P. Terhörst, A.T. Luu, F. Kirchbuchner, N. Damer, in: 26th International
Conference on Pattern Recognition, ICPR 2022, Montreal, QC, Canada, August 21-25,
2022, IEEE, 2022, pp. 938–944.'
date_created: 2022-12-21T12:25:25Z
date_updated: 2023-01-17T09:19:51Z
department:
- _id: '761'
doi: 10.1109/ICPR56361.2022.9956452
language:
- iso: eng
page: 938–944
publication: 26th International Conference on Pattern Recognition, ICPR 2022, Montreal,
QC, Canada, August 21-25, 2022
publication_status: published
publisher: IEEE
status: public
title: Verification of Sitter Identity Across Historical Portrait Paintings by Confidence-aware
Face Recognition
type: conference
user_id: '14931'
year: '2022'
...