---
_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'
...
---
_id: '34709'
author:
- first_name: Dailé Osorio
full_name: Roig, Dailé Osorio
last_name: Roig
- first_name: Christian
full_name: Rathgeb, Christian
last_name: Rathgeb
- first_name: Pawel
full_name: Drozdowski, Pawel
last_name: Drozdowski
- first_name: Philipp
full_name: Terhörst, Philipp
id: '97123'
last_name: Terhörst
- first_name: Vitomir
full_name: Struc, Vitomir
last_name: Struc
- first_name: Christoph
full_name: Busch, Christoph
last_name: Busch
citation:
ama: Roig DO, Rathgeb C, Drozdowski P, Terhörst P, Struc V, Busch C. An Attack on
Facial Soft-Biometric Privacy Enhancement. IEEE Trans Biom Behav Identity Sci.
2022;4(2):263–275. doi:10.1109/TBIOM.2022.3172724
apa: Roig, D. O., Rathgeb, C., Drozdowski, P., Terhörst, P., Struc, V., & Busch,
C. (2022). An Attack on Facial Soft-Biometric Privacy Enhancement. IEEE Trans.
Biom. Behav. Identity Sci., 4(2), 263–275. https://doi.org/10.1109/TBIOM.2022.3172724
bibtex: '@article{Roig_Rathgeb_Drozdowski_Terhörst_Struc_Busch_2022, title={An Attack
on Facial Soft-Biometric Privacy Enhancement}, volume={4}, DOI={10.1109/TBIOM.2022.3172724},
number={2}, journal={IEEE Trans. Biom. Behav. Identity Sci.}, author={Roig, Dailé
Osorio and Rathgeb, Christian and Drozdowski, Pawel and Terhörst, Philipp and
Struc, Vitomir and Busch, Christoph}, year={2022}, pages={263–275} }'
chicago: 'Roig, Dailé Osorio, Christian Rathgeb, Pawel Drozdowski, Philipp Terhörst,
Vitomir Struc, and Christoph Busch. “An Attack on Facial Soft-Biometric Privacy
Enhancement.” IEEE Trans. Biom. Behav. Identity Sci. 4, no. 2 (2022): 263–275.
https://doi.org/10.1109/TBIOM.2022.3172724.'
ieee: 'D. O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, and C. Busch,
“An Attack on Facial Soft-Biometric Privacy Enhancement,” IEEE Trans. Biom.
Behav. Identity Sci., vol. 4, no. 2, pp. 263–275, 2022, doi: 10.1109/TBIOM.2022.3172724.'
mla: Roig, Dailé Osorio, et al. “An Attack on Facial Soft-Biometric Privacy Enhancement.”
IEEE Trans. Biom. Behav. Identity Sci., vol. 4, no. 2, 2022, pp. 263–275,
doi:10.1109/TBIOM.2022.3172724.
short: D.O. Roig, C. Rathgeb, P. Drozdowski, P. Terhörst, V. Struc, C. Busch, IEEE
Trans. Biom. Behav. Identity Sci. 4 (2022) 263–275.
date_created: 2022-12-21T12:24:27Z
date_updated: 2023-01-17T09:24:28Z
department:
- _id: '761'
doi: 10.1109/TBIOM.2022.3172724
intvolume: ' 4'
issue: '2'
language:
- iso: eng
page: 263–275
publication: IEEE Trans. Biom. Behav. Identity Sci.
publication_status: published
status: public
title: An Attack on Facial Soft-Biometric Privacy Enhancement
type: journal_article
user_id: '14931'
volume: 4
year: '2022'
...
---
_id: '34041'
author:
- first_name: Linus Matthias
full_name: Witschen, Linus Matthias
id: '49051'
last_name: Witschen
citation:
ama: Witschen LM. Frameworks and Methodologies for Search-Based Approximate Logic
Synthesis.; 2022. doi:10.17619/UNIPB/1-1649
apa: Witschen, L. M. (2022). Frameworks and Methodologies for Search-based Approximate
Logic Synthesis. https://doi.org/10.17619/UNIPB/1-1649
bibtex: '@book{Witschen_2022, title={Frameworks and Methodologies for Search-based
Approximate Logic Synthesis}, DOI={10.17619/UNIPB/1-1649},
author={Witschen, Linus Matthias}, year={2022} }'
chicago: Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based
Approximate Logic Synthesis, 2022. https://doi.org/10.17619/UNIPB/1-1649.
ieee: L. M. Witschen, Frameworks and Methodologies for Search-based Approximate
Logic Synthesis. 2022.
mla: Witschen, Linus Matthias. Frameworks and Methodologies for Search-Based
Approximate Logic Synthesis. 2022, doi:10.17619/UNIPB/1-1649.
short: L.M. Witschen, Frameworks and Methodologies for Search-Based Approximate
Logic Synthesis, 2022.
date_created: 2022-11-09T06:26:22Z
date_updated: 2023-01-19T06:41:22Z
department:
- _id: '78'
doi: 10.17619/UNIPB/1-1649
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '3'
name: 'SFB 901 - B: SFB 901 - Project Area B'
- _id: '12'
name: 'SFB 901 - B4: SFB 901 - Subproject B4'
status: public
supervisor:
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
title: Frameworks and Methodologies for Search-based Approximate Logic Synthesis
type: dissertation
user_id: '15504'
year: '2022'
...
---
_id: '37554'
author:
- first_name: Laban
full_name: Asmar, Laban
last_name: Asmar
- first_name: Khoren
full_name: Grigoryan, Khoren
last_name: Grigoryan
- first_name: Arno
full_name: Kuhn, Arno
last_name: Kuhn
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Asmar L, Grigoryan K, Kuhn A, Dumitrescu R. Survey on methods for early prototyping
and validation of technical product ideas. In: 2022 IEEE 20th International
Conference on Industrial Informatics (INDIN). IEEE; 2022. doi:10.1109/indin51773.2022.9976130'
apa: Asmar, L., Grigoryan, K., Kuhn, A., & Dumitrescu, R. (2022). Survey on
methods for early prototyping and validation of technical product ideas. 2022
IEEE 20th International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51773.2022.9976130
bibtex: '@inproceedings{Asmar_Grigoryan_Kuhn_Dumitrescu_2022, title={Survey on methods
for early prototyping and validation of technical product ideas}, DOI={10.1109/indin51773.2022.9976130},
booktitle={2022 IEEE 20th International Conference on Industrial Informatics (INDIN)},
publisher={IEEE}, author={Asmar, Laban and Grigoryan, Khoren and Kuhn, Arno and
Dumitrescu, Roman}, year={2022} }'
chicago: Asmar, Laban, Khoren Grigoryan, Arno Kuhn, and Roman Dumitrescu. “Survey
on Methods for Early Prototyping and Validation of Technical Product Ideas.” In
2022 IEEE 20th International Conference on Industrial Informatics (INDIN).
IEEE, 2022. https://doi.org/10.1109/indin51773.2022.9976130.
ieee: 'L. Asmar, K. Grigoryan, A. Kuhn, and R. Dumitrescu, “Survey on methods for
early prototyping and validation of technical product ideas,” 2022, doi: 10.1109/indin51773.2022.9976130.'
mla: Asmar, Laban, et al. “Survey on Methods for Early Prototyping and Validation
of Technical Product Ideas.” 2022 IEEE 20th International Conference on Industrial
Informatics (INDIN), IEEE, 2022, doi:10.1109/indin51773.2022.9976130.
short: 'L. Asmar, K. Grigoryan, A. Kuhn, R. Dumitrescu, in: 2022 IEEE 20th International
Conference on Industrial Informatics (INDIN), IEEE, 2022.'
date_created: 2023-01-19T10:42:22Z
date_updated: 2023-01-19T10:43:10Z
department:
- _id: '563'
doi: 10.1109/indin51773.2022.9976130
language:
- iso: eng
publication: 2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
publication_status: published
publisher: IEEE
status: public
title: Survey on methods for early prototyping and validation of technical product
ideas
type: conference
user_id: '15782'
year: '2022'
...
---
_id: '37550'
author:
- first_name: Lydia
full_name: Kaiser, Lydia
last_name: Kaiser
- first_name: Elena
full_name: Schräder, Elena
last_name: Schräder
- first_name: Ruslan
full_name: Bernijazov, Ruslan
last_name: Bernijazov
- first_name: Marc
full_name: Foullois, Marc
last_name: Foullois
- first_name: Roman
full_name: Dumitrescu, Roman
id: '16190'
last_name: Dumitrescu
citation:
ama: 'Kaiser L, Schräder E, Bernijazov R, Foullois M, Dumitrescu R. Ein Ansatz zur
Strukturierung von KI-Assistenzen im Model-Based Systems Engineering. In: Koch
W, Wilke D, Dreiseitel S, Kaffenberger R, Gesellschaft für Systems Engineering
e.V., eds. Tag Des Systems Engineering. ; 2022.'
apa: Kaiser, L., Schräder, E., Bernijazov, R., Foullois, M., & Dumitrescu, R.
(2022). Ein Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems
Engineering. In W. Koch, D. Wilke, S. Dreiseitel, R. Kaffenberger, & Gesellschaft
für Systems Engineering e.V. (Eds.), Tag des Systems Engineering.
bibtex: '@inproceedings{Kaiser_Schräder_Bernijazov_Foullois_Dumitrescu_2022, place={Bremen},
title={Ein Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems
Engineering}, booktitle={Tag des Systems Engineering}, author={Kaiser, Lydia and
Schräder, Elena and Bernijazov, Ruslan and Foullois, Marc and Dumitrescu, Roman},
editor={Koch, Walter and Wilke, Daria and Dreiseitel, Stefan and Kaffenberger,
Rüdiger and Gesellschaft für Systems Engineering e.V.}, year={2022} }'
chicago: Kaiser, Lydia, Elena Schräder, Ruslan Bernijazov, Marc Foullois, and Roman
Dumitrescu. “Ein Ansatz Zur Strukturierung von KI-Assistenzen Im Model-Based Systems
Engineering.” In Tag Des Systems Engineering, edited by Walter Koch, Daria
Wilke, Stefan Dreiseitel, Rüdiger Kaffenberger, and Gesellschaft für Systems Engineering
e.V. Bremen, 2022.
ieee: L. Kaiser, E. Schräder, R. Bernijazov, M. Foullois, and R. Dumitrescu, “Ein
Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems Engineering,”
in Tag des Systems Engineering, 2022.
mla: Kaiser, Lydia, et al. “Ein Ansatz Zur Strukturierung von KI-Assistenzen Im
Model-Based Systems Engineering.” Tag Des Systems Engineering, edited by
Walter Koch et al., 2022.
short: 'L. Kaiser, E. Schräder, R. Bernijazov, M. Foullois, R. Dumitrescu, in: W.
Koch, D. Wilke, S. Dreiseitel, R. Kaffenberger, Gesellschaft für Systems Engineering
e.V. (Eds.), Tag Des Systems Engineering, Bremen, 2022.'
conference:
end_date: 2022-11-18
start_date: 2022-11-16
corporate_editor:
- Gesellschaft für Systems Engineering e.V.
date_created: 2023-01-19T10:37:37Z
date_updated: 2023-01-19T10:43:16Z
department:
- _id: '563'
editor:
- first_name: Walter
full_name: Koch, Walter
last_name: Koch
- first_name: Daria
full_name: Wilke, Daria
last_name: Wilke
- first_name: Stefan
full_name: Dreiseitel, Stefan
last_name: Dreiseitel
- first_name: Rüdiger
full_name: Kaffenberger, Rüdiger
last_name: Kaffenberger
language:
- iso: eng
place: Bremen
publication: Tag des Systems Engineering
status: public
title: Ein Ansatz zur Strukturierung von KI-Assistenzen im Model-Based Systems Engineering
type: conference
user_id: '15782'
year: '2022'
...
---
_id: '38158'
author:
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Dominik
full_name: Bechinie, Dominik
last_name: Bechinie
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Michael
full_name: Lenke, Michael
last_name: Lenke
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
citation:
ama: 'Winkelnkemper F, Huhmann T, Bechinie D, Eilerts K, Lenke M, Schulte C. Supporting
Geometry Learning Digitally-an Interdisciplinary Project to Foster Spatial Competences
and Individual Learning Paths by Using Adaptable Algorithmic Feedback Capabilities.
In: Society for Information Technology & Teacher Education International
Conference. ; 2022:1407–1413.'
apa: Winkelnkemper, F., Huhmann, T., Bechinie, D., Eilerts, K., Lenke, M., &
Schulte, C. (2022). Supporting Geometry Learning Digitally-an Interdisciplinary
Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable
Algorithmic Feedback Capabilities. Society for Information Technology &
Teacher Education International Conference, 1407–1413.
bibtex: '@inproceedings{Winkelnkemper_Huhmann_Bechinie_Eilerts_Lenke_Schulte_2022,
title={Supporting Geometry Learning Digitally-an Interdisciplinary Project to
Foster Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities}, booktitle={Society for Information Technology & Teacher
Education International Conference}, author={Winkelnkemper, Felix and Huhmann,
Tobias and Bechinie, Dominik and Eilerts, Katja and Lenke, Michael and Schulte,
Carsten}, year={2022}, pages={1407–1413} }'
chicago: Winkelnkemper, Felix, Tobias Huhmann, Dominik Bechinie, Katja Eilerts,
Michael Lenke, and Carsten Schulte. “Supporting Geometry Learning Digitally-an
Interdisciplinary Project to Foster Spatial Competences and Individual Learning
Paths by Using Adaptable Algorithmic Feedback Capabilities.” In Society for
Information Technology & Teacher Education International Conference, 1407–1413,
2022.
ieee: F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, and C. Schulte,
“Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster
Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities,” in Society for Information Technology & Teacher
Education International Conference, 2022, pp. 1407–1413.
mla: Winkelnkemper, Felix, et al. “Supporting Geometry Learning Digitally-an Interdisciplinary
Project to Foster Spatial Competences and Individual Learning Paths by Using Adaptable
Algorithmic Feedback Capabilities.” Society for Information Technology &
Teacher Education International Conference, 2022, pp. 1407–1413.
short: 'F. Winkelnkemper, T. Huhmann, D. Bechinie, K. Eilerts, M. Lenke, C. Schulte,
in: Society for Information Technology & Teacher Education International Conference,
2022, pp. 1407–1413.'
date_created: 2023-01-23T15:19:44Z
date_updated: 2023-01-24T09:17:22Z
department:
- _id: '67'
keyword:
- ⛔ No DOI found
language:
- iso: eng
page: 1407–1413
publication: Society for Information Technology & Teacher Education International
Conference
status: public
title: Supporting Geometry Learning Digitally-an Interdisciplinary Project to Foster
Spatial Competences and Individual Learning Paths by Using Adaptable Algorithmic
Feedback Capabilities
type: conference
user_id: '21145'
year: '2022'
...
---
_id: '39080'
author:
- first_name: Carsten
full_name: Schulte, Carsten
id: '60311'
last_name: Schulte
- first_name: Felix
full_name: Winkelnkemper, Felix
id: '3117'
last_name: Winkelnkemper
citation:
ama: 'Schulte C, Winkelnkemper F. Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik. In: Theologie Im Übergang -
Identität - Digitalisierung - Dialog. Kirche in Zeiten der Veränderung. Herder;
2022:117–135.'
apa: Schulte, C., & Winkelnkemper, F. (2022). Digitalisierung als Chance und
Herausforderung - Bemerkungen aus der Didaktik der Informatik. In Theologie
im Übergang - Identität - Digitalisierung - Dialog (pp. 117–135). Herder.
bibtex: '@inbook{Schulte_Winkelnkemper_2022, place={Freiburg im Breisgau}, series={Kirche
in Zeiten der Veränderung}, title={Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik}, booktitle={Theologie im Übergang
- Identität - Digitalisierung - Dialog}, publisher={Herder}, author={Schulte,
Carsten and Winkelnkemper, Felix}, year={2022}, pages={117–135}, collection={Kirche
in Zeiten der Veränderung} }'
chicago: 'Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance
Und Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” In Theologie
Im Übergang - Identität - Digitalisierung - Dialog, 117–135. Kirche in Zeiten
Der Veränderung. Freiburg im Breisgau: Herder, 2022.'
ieee: 'C. Schulte and F. Winkelnkemper, “Digitalisierung als Chance und Herausforderung
- Bemerkungen aus der Didaktik der Informatik,” in Theologie im Übergang -
Identität - Digitalisierung - Dialog, Freiburg im Breisgau: Herder, 2022,
pp. 117–135.'
mla: Schulte, Carsten, and Felix Winkelnkemper. “Digitalisierung Als Chance Und
Herausforderung - Bemerkungen Aus Der Didaktik Der Informatik.” Theologie Im
Übergang - Identität - Digitalisierung - Dialog, Herder, 2022, pp. 117–135.
short: 'C. Schulte, F. Winkelnkemper, in: Theologie Im Übergang - Identität - Digitalisierung
- Dialog, Herder, Freiburg im Breisgau, 2022, pp. 117–135.'
date_created: 2023-01-24T09:11:30Z
date_updated: 2023-01-24T09:18:30Z
department:
- _id: '67'
language:
- iso: eng
page: 117–135
place: Freiburg im Breisgau
publication: Theologie im Übergang - Identität - Digitalisierung - Dialog
publisher: Herder
series_title: Kirche in Zeiten der Veränderung
status: public
title: Digitalisierung als Chance und Herausforderung - Bemerkungen aus der Didaktik
der Informatik
type: book_chapter
user_id: '21145'
year: '2022'
...
---
_id: '38160'
author:
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Felix
full_name: Winkelnkemper, Felix
last_name: Winkelnkemper
citation:
ama: 'Huhmann T, Winkelnkemper F. SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH
ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. In: EDULEARN22 Proceedings.
; 2022:10017–10026. doi:10.21125/edulearn.2022.2416'
apa: Huhmann, T., & Winkelnkemper, F. (2022). SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS. EDULEARN22
Proceedings, 10017–10026. https://doi.org/10.21125/edulearn.2022.2416
bibtex: '@inproceedings{Huhmann_Winkelnkemper_2022, title={SUPPORTING GEOMETRY LEARNING
DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS}, DOI={10.21125/edulearn.2022.2416},
booktitle={EDULEARN22 Proceedings}, author={Huhmann, Tobias and Winkelnkemper,
Felix}, year={2022}, pages={10017–10026} }'
chicago: Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING
DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” In
EDULEARN22 Proceedings, 10017–10026, 2022. https://doi.org/10.21125/edulearn.2022.2416.
ieee: 'T. Huhmann and F. Winkelnkemper, “SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS,” in EDULEARN22
Proceedings, 2022, pp. 10017–10026, doi: 10.21125/edulearn.2022.2416.'
mla: Huhmann, Tobias, and Felix Winkelnkemper. “SUPPORTING GEOMETRY LEARNING DIGITALLY
THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES AND SOLUTIONS.” EDULEARN22
Proceedings, 2022, pp. 10017–10026, doi:10.21125/edulearn.2022.2416.
short: 'T. Huhmann, F. Winkelnkemper, in: EDULEARN22 Proceedings, 2022, pp. 10017–10026.'
date_created: 2023-01-23T15:21:21Z
date_updated: 2023-01-24T09:17:28Z
department:
- _id: '67'
doi: 10.21125/edulearn.2022.2416
language:
- iso: eng
page: 10017–10026
publication: EDULEARN22 Proceedings
status: public
title: SUPPORTING GEOMETRY LEARNING DIGITALLY THROUGH ADAPTABLE ALGORITHMIC FEEDBACK-CHALLENGES
AND SOLUTIONS
type: conference
user_id: '21145'
year: '2022'
...
---
_id: '38162'
author:
- first_name: Tobias
full_name: Huhmann, Tobias
last_name: Huhmann
- first_name: Katja
full_name: Eilerts, Katja
last_name: Eilerts
- first_name: Felix
full_name: Winkelnkemper, Felix
last_name: Winkelnkemper
citation:
ama: Huhmann T, Eilerts K, Winkelnkemper F. Pentomino Digital - Mit Einer App Geometrie
Lernen. Mathematik differenziert. 2022;(4-2022):42–45.
apa: Huhmann, T., Eilerts, K., & Winkelnkemper, F. (2022). Pentomino Digital
- Mit Einer App Geometrie Lernen. Mathematik Differenziert, 4–2022,
42–45.
bibtex: '@article{Huhmann_Eilerts_Winkelnkemper_2022, title={Pentomino Digital -
Mit Einer App Geometrie Lernen}, number={4–2022}, journal={Mathematik differenziert},
author={Huhmann, Tobias and Eilerts, Katja and Winkelnkemper, Felix}, year={2022},
pages={42–45} }'
chicago: 'Huhmann, Tobias, Katja Eilerts, and Felix Winkelnkemper. “Pentomino Digital
- Mit Einer App Geometrie Lernen.” Mathematik Differenziert, no. 4–2022
(2022): 42–45.'
ieee: T. Huhmann, K. Eilerts, and F. Winkelnkemper, “Pentomino Digital - Mit Einer
App Geometrie Lernen,” Mathematik differenziert, no. 4–2022, pp. 42–45,
2022.
mla: Huhmann, Tobias, et al. “Pentomino Digital - Mit Einer App Geometrie Lernen.”
Mathematik Differenziert, no. 4–2022, 2022, pp. 42–45.
short: T. Huhmann, K. Eilerts, F. Winkelnkemper, Mathematik Differenziert (2022)
42–45.
date_created: 2023-01-23T15:22:27Z
date_updated: 2023-01-24T09:17:10Z
department:
- _id: '67'
issue: 4-2022
keyword:
- ⛔ No DOI found
language:
- iso: eng
page: 42–45
publication: Mathematik differenziert
status: public
title: Pentomino Digital - Mit Einer App Geometrie Lernen
type: journal_article
user_id: '21145'
year: '2022'
...
---
_id: '34617'
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: Florian
full_name: Kirchbuchner, Florian
last_name: Kirchbuchner
- first_name: Naser
full_name: Damer, Naser
last_name: Damer
- first_name: Arjan
full_name: Kuijper, Arjan
last_name: Kuijper
citation:
ama: Huber M, Terhörst P, Kirchbuchner F, Damer N, Kuijper A. Stating Comparison
Score Uncertainty and Verification Decision Confidence Towards Transparent Face
Recognition. 33nd British Machine Vision Conference 2022. Published online
2022. doi:10.48550/ARXIV.2210.10354
apa: Huber, M., Terhörst, P., Kirchbuchner, F., Damer, N., & Kuijper, A. (2022).
Stating Comparison Score Uncertainty and Verification Decision Confidence Towards
Transparent Face Recognition. 33nd British Machine Vision Conference 2022.
https://doi.org/10.48550/ARXIV.2210.10354
bibtex: '@article{Huber_Terhörst_Kirchbuchner_Damer_Kuijper_2022, title={Stating
Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent
Face Recognition}, DOI={10.48550/ARXIV.2210.10354},
journal={33nd British Machine Vision Conference 2022}, publisher={arXiv}, author={Huber,
Marco and Terhörst, Philipp and Kirchbuchner, Florian and Damer, Naser and Kuijper,
Arjan}, year={2022} }'
chicago: Huber, Marco, Philipp Terhörst, Florian Kirchbuchner, Naser Damer, and
Arjan Kuijper. “Stating Comparison Score Uncertainty and Verification Decision
Confidence Towards Transparent Face Recognition.” 33nd British Machine Vision
Conference 2022, 2022. https://doi.org/10.48550/ARXIV.2210.10354.
ieee: 'M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, and A. Kuijper, “Stating
Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent
Face Recognition,” 33nd British Machine Vision Conference 2022, 2022, doi:
10.48550/ARXIV.2210.10354.'
mla: Huber, Marco, et al. “Stating Comparison Score Uncertainty and Verification
Decision Confidence Towards Transparent Face Recognition.” 33nd British Machine
Vision Conference 2022, arXiv, 2022, doi:10.48550/ARXIV.2210.10354.
short: M. Huber, P. Terhörst, F. Kirchbuchner, N. Damer, A. Kuijper, 33nd British
Machine Vision Conference 2022 (2022).
date_created: 2022-12-20T14:30:02Z
date_updated: 2023-01-23T13:53:14Z
department:
- _id: '761'
doi: 10.48550/ARXIV.2210.10354
keyword:
- Computer Vision and Pattern Recognition (cs.CV)
- 'FOS: Computer and information sciences'
- 'FOS: Computer and information sciences'
language:
- iso: eng
publication: 33nd British Machine Vision Conference 2022
publisher: arXiv
status: public
title: Stating Comparison Score Uncertainty and Verification Decision Confidence Towards
Transparent Face Recognition
type: journal_article
user_id: '97123'
year: '2022'
...
---
_id: '40510'
abstract:
- lang: eng
text: Decision-making processes are often based on data and data-driven
machine learning methods in different areas such as recommender systems, medicine,
criminalistics, etc. Well-informed citizens need at least a minimal understanding
and critical reflection of corresponding data-driven machine learning methods.
Decision trees are a method that can foster a preformal understanding of machine
learning. We developed an exploratory teaching unit introducing decision trees
in grade 6 along the question “How can Artificial Intelligence help us decide
whether food is rather recommendable or not?” Students’ performances in an assessment
task and self-assessment show that young learners can use a decision tree to classify
new items and that they found the corresponding teaching unit informative.
author:
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
- first_name: Yannik
full_name: Fleischer, Yannik
last_name: Fleischer
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
citation:
ama: 'Podworny S, Fleischer Y, Hüsing S. Grade 6 Students’ Perception and Use of
Data-Based Decision Trees. In: Bridging the Gap: Empowering and Educating Today’s
Learners in Statistics. Proceedings of the Eleventh International Conference on
Teaching Statistics. International Association for Statistical Education;
2022. doi:10.52041/iase.icots11.t2h3'
apa: 'Podworny, S., Fleischer, Y., & Hüsing, S. (2022). Grade 6 Students’ Perception
and Use of Data-Based Decision Trees. Bridging the Gap: Empowering and Educating
Today’s Learners in Statistics. Proceedings of the Eleventh International Conference
on Teaching Statistics. https://doi.org/10.52041/iase.icots11.t2h3'
bibtex: '@inproceedings{Podworny_Fleischer_Hüsing_2022, title={Grade 6 Students’
Perception and Use of Data-Based Decision Trees}, DOI={10.52041/iase.icots11.t2h3},
booktitle={Bridging the Gap: Empowering and Educating Today’s Learners in Statistics.
Proceedings of the Eleventh International Conference on Teaching Statistics},
publisher={International Association for Statistical Education}, author={Podworny,
Susanne and Fleischer, Yannik and Hüsing, Sven}, year={2022} }'
chicago: 'Podworny, Susanne, Yannik Fleischer, and Sven Hüsing. “Grade 6 Students’
Perception and Use of Data-Based Decision Trees.” In Bridging the Gap: Empowering
and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International
Conference on Teaching Statistics. International Association for Statistical
Education, 2022. https://doi.org/10.52041/iase.icots11.t2h3.'
ieee: 'S. Podworny, Y. Fleischer, and S. Hüsing, “Grade 6 Students’ Perception and
Use of Data-Based Decision Trees,” 2022, doi: 10.52041/iase.icots11.t2h3.'
mla: 'Podworny, Susanne, et al. “Grade 6 Students’ Perception and Use of Data-Based
Decision Trees.” 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.t2h3.'
short: 'S. Podworny, Y. Fleischer, S. Hüsing, in: Bridging the Gap: Empowering and
Educating Today’s Learners in Statistics. Proceedings of the Eleventh International
Conference on Teaching Statistics, International Association for Statistical Education,
2022.'
date_created: 2023-01-27T12:23:45Z
date_updated: 2023-01-27T12:24:33Z
department:
- _id: '67'
doi: 10.52041/iase.icots11.t2h3
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: Grade 6 Students’ Perception and Use of Data-Based Decision Trees
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '30937'
abstract:
- lang: eng
text: Data Science has become an increasingly important aspect of our everyday
lives as we gain a lot of different insights from data analyses, for example in
the context of environmental issues. In order to make the process of data analyses
comprehensible for lower secondary school students, we developed a data analysis
project for computer science classes, focusing on gaining insights from environmental
data by using the concept of epistemic programming. In this article, we report
on the second implementation of this project, which was conducted in a ninth-grade
computer science class. Concretely, we want to examine, how far the students were
able to create computational essays to conduct reproducible data analyses on their
own. In this regard, the computational essays created with the help of the professional
tool Jupyter Notebooks will be examined in terms of aspects of reproducibility.
author:
- first_name: Sven
full_name: Hüsing, Sven
id: '58465'
last_name: Hüsing
- first_name: Susanne
full_name: Podworny, Susanne
last_name: Podworny
citation:
ama: 'Hüsing S, Podworny S. Computational Essays as an Approach for Reproducible
Data Analysis in lower Secondary School. In: Proceedings of the IASE 2021 Satellite
Conference. International Association for Statistical Education; 2022. doi:10.52041/iase.zwwoh'
apa: Hüsing, S., & Podworny, S. (2022). Computational Essays as an Approach
for Reproducible Data Analysis in lower Secondary School. Proceedings of the
IASE 2021 Satellite Conference. https://doi.org/10.52041/iase.zwwoh
bibtex: '@inproceedings{Hüsing_Podworny_2022, title={Computational Essays as an
Approach for Reproducible Data Analysis in lower Secondary School}, DOI={10.52041/iase.zwwoh},
booktitle={Proceedings of the IASE 2021 Satellite Conference}, publisher={International
Association for Statistical Education}, author={Hüsing, Sven and Podworny, Susanne},
year={2022} }'
chicago: Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach
for Reproducible Data Analysis in Lower Secondary School.” In Proceedings of
the IASE 2021 Satellite Conference. International Association for Statistical
Education, 2022. https://doi.org/10.52041/iase.zwwoh.
ieee: 'S. Hüsing and S. Podworny, “Computational Essays as an Approach for Reproducible
Data Analysis in lower Secondary School,” 2022, doi: 10.52041/iase.zwwoh.'
mla: Hüsing, Sven, and Susanne Podworny. “Computational Essays as an Approach for
Reproducible Data Analysis in Lower Secondary School.” Proceedings of the IASE
2021 Satellite Conference, International Association for Statistical Education,
2022, doi:10.52041/iase.zwwoh.
short: 'S. Hüsing, S. Podworny, in: Proceedings of the IASE 2021 Satellite Conference,
International Association for Statistical Education, 2022.'
date_created: 2022-04-22T08:30:59Z
date_updated: 2023-01-30T12:10:57Z
department:
- _id: '67'
doi: 10.52041/iase.zwwoh
language:
- iso: eng
main_file_link:
- url: https://iase-web.org/documents/papers/sat2021/IASE2021%20Satellite%20156_HUSING.pdf?1649974216
publication: Proceedings of the IASE 2021 Satellite Conference
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Computational Essays as an Approach for Reproducible Data Analysis in lower
Secondary School
type: conference
user_id: '58465'
year: '2022'
...
---
_id: '41164'
abstract:
- lang: eng
text: Companies show an increasing interest in low-code development platforms to
facilitate application development by domain experts without sophisticated software
development knowledge. Thus, companies aim for a more efficient development of
more effective applications since domain experts as so-called citizen developers
are no longer limited by the availability and domain knowledge of trained software
developers. Nevertheless, efficiency and effectiveness of application development
is traditionally also largely influenced by the use of a suitable software development
method. Domain experts are, however, not trained in software development methods.
This introduces a risk of domain experts creating unusable applications or exceeding
the designated time frame of a project (or both). In this paper, we therefore
propose an initial version of a situational software development method which
supports domain experts in manufacturing companies during the low-code development
of applications. The method can be tailored based on situational factors, considering
application requirements, features of the used low-code development platform,
and characteristics of the development team. We also present feedback corroborating
the usefulness of our method and future extension points based on expert interviews.
author:
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Stefan
full_name: Sauer, Stefan
id: '447'
last_name: Sauer
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Kirchhoff J, Weidmann N, Sauer S, Engels G. Situational Development of Low-Code
Applications in Manufacturing Companies. In: Proceedings of the 25th International
Conference on Model Driven Engineering Languages and Systems: Companion Proceedings.
ACM; 2022. doi:10.1145/3550356.3561560'
apa: 'Kirchhoff, J., Weidmann, N., Sauer, S., & Engels, G. (2022). Situational
Development of Low-Code Applications in Manufacturing Companies. Proceedings
of the 25th International Conference on Model Driven Engineering Languages and
Systems: Companion Proceedings. https://doi.org/10.1145/3550356.3561560'
bibtex: '@inproceedings{Kirchhoff_Weidmann_Sauer_Engels_2022, title={Situational
Development of Low-Code Applications in Manufacturing Companies}, DOI={10.1145/3550356.3561560},
booktitle={Proceedings of the 25th International Conference on Model Driven Engineering
Languages and Systems: Companion Proceedings}, publisher={ACM}, author={Kirchhoff,
Jonas and Weidmann, Nils and Sauer, Stefan and Engels, Gregor}, year={2022} }'
chicago: 'Kirchhoff, Jonas, Nils Weidmann, Stefan Sauer, and Gregor Engels. “Situational
Development of Low-Code Applications in Manufacturing Companies.” In Proceedings
of the 25th International Conference on Model Driven Engineering Languages and
Systems: Companion Proceedings. ACM, 2022. https://doi.org/10.1145/3550356.3561560.'
ieee: 'J. Kirchhoff, N. Weidmann, S. Sauer, and G. Engels, “Situational Development
of Low-Code Applications in Manufacturing Companies,” 2022, doi: 10.1145/3550356.3561560.'
mla: 'Kirchhoff, Jonas, et al. “Situational Development of Low-Code Applications
in Manufacturing Companies.” Proceedings of the 25th International Conference
on Model Driven Engineering Languages and Systems: Companion Proceedings,
ACM, 2022, doi:10.1145/3550356.3561560.'
short: 'J. Kirchhoff, N. Weidmann, S. Sauer, G. Engels, in: Proceedings of the 25th
International Conference on Model Driven Engineering Languages and Systems: Companion
Proceedings, ACM, 2022.'
date_created: 2023-01-31T12:00:42Z
date_updated: 2023-01-31T12:04:09Z
department:
- _id: '534'
- _id: '66'
doi: 10.1145/3550356.3561560
language:
- iso: eng
publication: 'Proceedings of the 25th International Conference on Model Driven Engineering
Languages and Systems: Companion Proceedings'
publication_status: published
publisher: ACM
status: public
title: Situational Development of Low-Code Applications in Manufacturing Companies
type: conference
user_id: '39928'
year: '2022'
...
---
_id: '41134'
author:
- first_name: Sebastian
full_name: Gottschalk, Sebastian
id: '47208'
last_name: Gottschalk
- first_name: Rakshit
full_name: Bhat, Rakshit
last_name: Bhat
- first_name: Nils
full_name: Weidmann, Nils
id: '53103'
last_name: Weidmann
- first_name: Jonas
full_name: Kirchhoff, Jonas
id: '39928'
last_name: Kirchhoff
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
citation:
ama: 'Gottschalk S, Bhat R, Weidmann N, Kirchhoff J, Engels G. Low-code experimentation
on software products. In: Proceedings of the 25th International Conference
on Model Driven Engineering Languages and Systems: Companion Proceedings.
ACM; 2022. doi:10.1145/3550356.3561572'
apa: 'Gottschalk, S., Bhat, R., Weidmann, N., Kirchhoff, J., & Engels, G. (2022).
Low-code experimentation on software products. Proceedings of the 25th International
Conference on Model Driven Engineering Languages and Systems: Companion Proceedings.
https://doi.org/10.1145/3550356.3561572'
bibtex: '@inproceedings{Gottschalk_Bhat_Weidmann_Kirchhoff_Engels_2022, title={Low-code
experimentation on software products}, DOI={10.1145/3550356.3561572},
booktitle={Proceedings of the 25th International Conference on Model Driven Engineering
Languages and Systems: Companion Proceedings}, publisher={ACM}, author={Gottschalk,
Sebastian and Bhat, Rakshit and Weidmann, Nils and Kirchhoff, Jonas and Engels,
Gregor}, year={2022} }'
chicago: 'Gottschalk, Sebastian, Rakshit Bhat, Nils Weidmann, Jonas Kirchhoff, and
Gregor Engels. “Low-Code Experimentation on Software Products.” In Proceedings
of the 25th International Conference on Model Driven Engineering Languages and
Systems: Companion Proceedings. ACM, 2022. https://doi.org/10.1145/3550356.3561572.'
ieee: 'S. Gottschalk, R. Bhat, N. Weidmann, J. Kirchhoff, and G. Engels, “Low-code
experimentation on software products,” 2022, doi: 10.1145/3550356.3561572.'
mla: 'Gottschalk, Sebastian, et al. “Low-Code Experimentation on Software Products.”
Proceedings of the 25th International Conference on Model Driven Engineering
Languages and Systems: Companion Proceedings, ACM, 2022, doi:10.1145/3550356.3561572.'
short: 'S. Gottschalk, R. Bhat, N. Weidmann, J. Kirchhoff, G. Engels, in: Proceedings
of the 25th International Conference on Model Driven Engineering Languages and
Systems: Companion Proceedings, ACM, 2022.'
date_created: 2023-01-31T09:29:09Z
date_updated: 2023-02-01T07:25:52Z
department:
- _id: '66'
doi: 10.1145/3550356.3561572
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '17'
name: 'SFB 901 - C5: SFB 901 - Subproject C5'
publication: 'Proceedings of the 25th International Conference on Model Driven Engineering
Languages and Systems: Companion Proceedings'
publication_status: published
publisher: ACM
status: public
title: Low-code experimentation on software products
type: conference
user_id: '47208'
year: '2022'
...
---
_id: '35188'
author:
- first_name: Fabian
full_name: Eidens, Fabian
id: '25078'
last_name: Eidens
citation:
ama: 'Eidens F. Privacy-Preserving Cryptography: Attribute-Based Signatures and
Updatable Credentials.; 2022. doi:10.17619/UNIPB/1-1653'
apa: 'Eidens, F. (2022). Privacy-Preserving Cryptography: Attribute-Based Signatures
and Updatable Credentials. https://doi.org/10.17619/UNIPB/1-1653'
bibtex: '@book{Eidens_2022, title={Privacy-Preserving Cryptography: Attribute-Based
Signatures and Updatable Credentials}, DOI={10.17619/UNIPB/1-1653},
author={Eidens, Fabian}, year={2022} }'
chicago: 'Eidens, Fabian. Privacy-Preserving Cryptography: Attribute-Based Signatures
and Updatable Credentials, 2022. https://doi.org/10.17619/UNIPB/1-1653.'
ieee: 'F. Eidens, Privacy-Preserving Cryptography: Attribute-Based Signatures
and Updatable Credentials. 2022.'
mla: 'Eidens, Fabian. Privacy-Preserving Cryptography: Attribute-Based Signatures
and Updatable Credentials. 2022, doi:10.17619/UNIPB/1-1653.'
short: 'F. Eidens, Privacy-Preserving Cryptography: Attribute-Based Signatures and
Updatable Credentials, 2022.'
date_created: 2023-01-04T09:01:48Z
date_updated: 2023-02-08T21:07:41Z
department:
- _id: '64'
doi: 10.17619/UNIPB/1-1653
language:
- iso: eng
project:
- _id: '1'
name: 'SFB 901: SFB 901'
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '84'
name: 'SFB 901 - T2: SFB 901 -Subproject T2'
status: public
supervisor:
- first_name: Johannes
full_name: Blömer, Johannes
id: '23'
last_name: Blömer
title: 'Privacy-Preserving Cryptography: Attribute-Based Signatures and Updatable
Credentials'
type: dissertation
user_id: '25078'
year: '2022'
...