---
_id: '61765'
author:
- first_name: Andreas
full_name: Mazur, Andreas
last_name: Mazur
- first_name: Henning
full_name: Peters, Henning
last_name: Peters
- first_name: André
full_name: Artelt, André
last_name: Artelt
- first_name: Lukas
full_name: Koller, Lukas
last_name: Koller
- first_name: Christoph
full_name: Hartmann, Christoph
last_name: Hartmann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Mazur A, Peters H, Artelt A, et al. Studying the Generalization Behavior of Surrogate
Models for Punch-Bending by Generating Plausible Counterfactuals. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-04555-3_16'
apa: Mazur, A., Peters, H., Artelt, A., Koller, L., Hartmann, C., Trächtler, A.,
& Hammer, B. (2025). Studying the Generalization Behavior of Surrogate Models
for Punch-Bending by Generating Plausible Counterfactuals. In Lecture Notes
in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04555-3_16
bibtex: '@inbook{Mazur_Peters_Artelt_Koller_Hartmann_Trächtler_Hammer_2025, place={Cham},
title={Studying the Generalization Behavior of Surrogate Models for Punch-Bending
by Generating Plausible Counterfactuals}, DOI={10.1007/978-3-032-04555-3_16},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Mazur, Andreas and Peters, Henning and Artelt, André and Koller, Lukas
and Hartmann, Christoph and Trächtler, Ansgar and Hammer, Barbara}, year={2025}
}'
chicago: 'Mazur, Andreas, Henning Peters, André Artelt, Lukas Koller, Christoph
Hartmann, Ansgar Trächtler, and Barbara Hammer. “Studying the Generalization Behavior
of Surrogate Models for Punch-Bending by Generating Plausible Counterfactuals.”
In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2025. https://doi.org/10.1007/978-3-032-04555-3_16.'
ieee: 'A. Mazur et al., “Studying the Generalization Behavior of Surrogate
Models for Punch-Bending by Generating Plausible Counterfactuals,” in Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.'
mla: Mazur, Andreas, et al. “Studying the Generalization Behavior of Surrogate Models
for Punch-Bending by Generating Plausible Counterfactuals.” Lecture Notes in
Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-04555-3_16.
short: 'A. Mazur, H. Peters, A. Artelt, L. Koller, C. Hartmann, A. Trächtler, B.
Hammer, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham,
2025.'
date_created: 2025-10-08T16:12:14Z
date_updated: 2025-10-30T12:49:25Z
department:
- _id: '153'
- _id: '241'
doi: 10.1007/978-3-032-04555-3_16
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1007/978-3-032-04555-3_16
oa: '1'
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032045546'
- '9783032045553'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Studying the Generalization Behavior of Surrogate Models for Punch-Bending
by Generating Plausible Counterfactuals
type: book_chapter
user_id: '82875'
year: '2025'
...
---
_id: '62069'
author:
- first_name: Lin
full_name: Kyi, Lin
last_name: Kyi
- first_name: Cristiana
full_name: Santos, Cristiana
last_name: Santos
- first_name: Sushil
full_name: Ammanaghatta Shivakumar, Sushil
last_name: Ammanaghatta Shivakumar
- first_name: Franziska
full_name: Roesner, Franziska
last_name: Roesner
- first_name: Asia
full_name: Biega, Asia
last_name: Biega
citation:
ama: 'Kyi L, Santos C, Ammanaghatta Shivakumar S, Roesner F, Biega A. Turning to Online
Forums for Legal Information: A Case Study of GDPR’s Legitimate Interests. In:
Lecture Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-07574-1_7'
apa: 'Kyi, L., Santos, C., Ammanaghatta Shivakumar, S., Roesner, F., & Biega,
A. (2025). Turning to Online Forums for Legal Information: A Case Study of GDPR’s
Legitimate Interests. In Lecture Notes in Computer Science. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-032-07574-1_7'
bibtex: '@inbook{Kyi_Santos_Ammanaghatta Shivakumar_Roesner_Biega_2025, place={Cham},
title={Turning to Online Forums for Legal Information: A Case Study of GDPR’s
Legitimate Interests}, DOI={10.1007/978-3-032-07574-1_7},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Kyi, Lin and Santos, Cristiana and Ammanaghatta Shivakumar, Sushil and
Roesner, Franziska and Biega, Asia}, year={2025} }'
chicago: 'Kyi, Lin, Cristiana Santos, Sushil Ammanaghatta Shivakumar, Franziska
Roesner, and Asia Biega. “Turning to Online Forums for Legal Information: A Case
Study of GDPR’s Legitimate Interests.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-07574-1_7.'
ieee: 'L. Kyi, C. Santos, S. Ammanaghatta Shivakumar, F. Roesner, and A. Biega,
“Turning to Online Forums for Legal Information: A Case Study of GDPR’s Legitimate
Interests,” in Lecture Notes in Computer Science, Cham: Springer Nature
Switzerland, 2025.'
mla: 'Kyi, Lin, et al. “Turning to Online Forums for Legal Information: A Case Study
of GDPR’s Legitimate Interests.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-032-07574-1_7.'
short: 'L. Kyi, C. Santos, S. Ammanaghatta Shivakumar, F. Roesner, A. Biega, in:
Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-11-04T11:12:52Z
date_updated: 2025-11-04T12:26:21Z
doi: 10.1007/978-3-032-07574-1_7
extern: '1'
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032075734'
- '9783032075741'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Turning to Online Forums for Legal Information: A Case Study of GDPR’s Legitimate
Interests'
type: book_chapter
user_id: '124732'
year: '2025'
...
---
_id: '62186'
author:
- first_name: Atousa
full_name: Jafari, Atousa
last_name: Jafari
- first_name: Marco
full_name: Platzner, Marco
last_name: Platzner
citation:
ama: 'Jafari A, Platzner M. Ultra-Low Latency and Extreme-Throughput Echo State
Neural Networks on FPGA. In: Lecture Notes in Computer Science. Springer
Nature Switzerland; 2025. doi:10.1007/978-3-031-87995-1_11'
apa: Jafari, A., & Platzner, M. (2025). Ultra-Low Latency and Extreme-Throughput
Echo State Neural Networks on FPGA. In Lecture Notes in Computer Science.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-87995-1_11
bibtex: '@inbook{Jafari_Platzner_2025, place={Cham}, title={Ultra-Low Latency and Extreme-Throughput
Echo State Neural Networks on FPGA}, DOI={10.1007/978-3-031-87995-1_11},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Jafari, Atousa and Platzner, Marco}, year={2025} }'
chicago: 'Jafari, Atousa, and Marco Platzner. “Ultra-Low Latency and Extreme-Throughput
Echo State Neural Networks on FPGA.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87995-1_11.'
ieee: 'A. Jafari and M. Platzner, “Ultra-Low Latency and Extreme-Throughput Echo
State Neural Networks on FPGA,” in Lecture Notes in Computer Science, Cham:
Springer Nature Switzerland, 2025.'
mla: Jafari, Atousa, and Marco Platzner. “Ultra-Low Latency and Extreme-Throughput
Echo State Neural Networks on FPGA.” Lecture Notes in Computer Science,
Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-87995-1_11.
short: 'A. Jafari, M. Platzner, in: Lecture Notes in Computer Science, Springer
Nature Switzerland, Cham, 2025.'
date_created: 2025-11-14T05:50:14Z
date_updated: 2025-11-14T09:35:23Z
doi: 10.1007/978-3-031-87995-1_11
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031879944'
- '9783031879951'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Ultra-Low Latency and Extreme-Throughput Echo State Neural Networks on FPGA
type: book_chapter
user_id: '99966'
year: '2025'
...
---
_id: '62701'
abstract:
- lang: eng
text: 'Learning continuous vector representations for knowledge graphs has
significantly improved state-of-the-art performances in many challenging tasks.
Yet, deep-learning-based models are only post-hoc and locally explainable. In
contrast, learning Web Ontology Language (OWL) class expressions in Description Logics (DLs) is ante-hoc and globally
explainable. However, state-of-the-art learners have two well-known lim-itations: scaling to large knowledge graphs and handling missing infor-mation. Here, we present a decision-tree-based learner (tDL) to learn
Web Ontology Languages (OWLs) class expressions over large knowl-edge
graphs, while imputing missing triples. Given positive and negative example individuals,
tDL firstly constructs unique OWL expressions in .SHOIN from concise bounded descriptions of individuals. Each OWL
class expression is used as a feature in a binary classification problem to represent
input individuals. Thereafter, tDL fits a CART decision tree to learn Boolean
decision rules distinguishing positive examples from nega-tive examples. A final
OWL expression in.SHOIN is built by traversing the built CART decision tree from the root node to leaf nodes for each
positive example. By this, tDL can learn OWL class expressions without exploration,
i.e., the number of queries to a knowledge graph is bounded by the number of input
individuals. Our empirical results show that tDL outperforms the current state-of-the-art models across
datasets. Impor-tantly, our experiments over a large knowledge graph (DBpedia
with 1.1 billion triples) show that tDL can effectively learn accurate OWL class
expressions, while the state-of-the-art models fail to return any results.
Finally, expressions learned by tDL can be seamlessly translated into
natural language explanations using a pre-trained large language model and a DL
verbalizer.'
author:
- first_name: Caglar
full_name: Demir, Caglar
last_name: Demir
- first_name: Moshood
full_name: Yekini, Moshood
last_name: Yekini
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Yasir
full_name: Mahmood, Yasir
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Yekini M, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class
Expression Learner over Large Graphs. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29'
apa: Demir, C., Yekini, M., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025).
Tree-Based OWL Class Expression Learner over Large Graphs. In Lecture Notes
in Computer Science. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases - ECML PKDD, Porto, Portugal.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-06066-2_29
bibtex: '@inbook{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham}, title={Tree-Based
OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Demir, Caglar and Yekini, Moshood and Röder, Michael and Mahmood, Yasir
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Demir, Caglar, Moshood Yekini, Michael Röder, Yasir Mahmood, and Axel-Cyrille
Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large Graphs.” In
Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025.
https://doi.org/10.1007/978-3-032-06066-2_29.'
ieee: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based
OWL Class Expression Learner over Large Graphs,” in Lecture Notes in Computer
Science, Cham: Springer Nature Switzerland, 2025.'
mla: Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.”
Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.
short: 'C. Demir, M. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
conference:
end_date: 2025-09-19
location: Porto, Portugal
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases - ECML PKDD
start_date: 2025-09-15
date_created: 2025-11-28T14:09:17Z
date_updated: 2025-11-28T14:57:39Z
department:
- _id: '34'
- _id: '574'
doi: 10.1007/978-3-032-06066-2_29
keyword:
- Decision Tree
- OWL Class Expression Learning
- Description Logic
- Knowledge Graph
- Large Language Model
- Verbalizer
language:
- iso: eng
place: Cham
project:
- _id: '285'
name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032060655'
- '9783032060662'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Tree-Based OWL Class Expression Learner over Large Graphs
type: book_chapter
user_id: '114533'
year: '2025'
...
---
_id: '63507'
author:
- first_name: Gaurav
full_name: Pandit, Gaurav
last_name: Pandit
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Pandit G, Röder M, Ngonga Ngomo A-C. Evaluating Approximate Nearest Neighbour
Search Systems on Knowledge Graph Embeddings. In: Lecture Notes in Computer
Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-94575-5_4'
apa: Pandit, G., Röder, M., & Ngonga Ngomo, A.-C. (2025). Evaluating Approximate
Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-94575-5_4
bibtex: '@inbook{Pandit_Röder_Ngonga Ngomo_2025, place={Cham}, title={Evaluating
Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings}, DOI={10.1007/978-3-031-94575-5_4},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Pandit, Gaurav and Röder, Michael and Ngonga Ngomo, Axel-Cyrille}, year={2025}
}'
chicago: 'Pandit, Gaurav, Michael Röder, and Axel-Cyrille Ngonga Ngomo. “Evaluating
Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings.” In
Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2025.
https://doi.org/10.1007/978-3-031-94575-5_4.'
ieee: 'G. Pandit, M. Röder, and A.-C. Ngonga Ngomo, “Evaluating Approximate Nearest
Neighbour Search Systems on Knowledge Graph Embeddings,” in Lecture Notes in
Computer Science, Cham: Springer Nature Switzerland, 2025.'
mla: Pandit, Gaurav, et al. “Evaluating Approximate Nearest Neighbour Search Systems
on Knowledge Graph Embeddings.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-031-94575-5_4.
short: 'G. Pandit, M. Röder, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science,
Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-06T09:53:58Z
date_updated: 2026-01-06T09:55:26Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-031-94575-5_4
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031945748'
- '9783031945755'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph
Embeddings
type: book_chapter
user_id: '67199'
year: '2025'
...
---
_id: '63572'
author:
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Moshood Olawale
full_name: Yekini, Moshood Olawale
id: '114533'
last_name: Yekini
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Demir C, Yekini MO, Röder M, Mahmood Y, Ngonga Ngomo A-C. Tree-Based OWL Class
Expression Learner over Large Graphs. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-06066-2_29'
apa: Demir, C., Yekini, M. O., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C.
(2025). Tree-Based OWL Class Expression Learner over Large Graphs. Lecture
Notes in Computer Science. European Conference on Machine Learning and Principles
and Practice of Knowledge Discovery in Databases, Porto. https://doi.org/10.1007/978-3-032-06066-2_29
bibtex: '@inproceedings{Demir_Yekini_Röder_Mahmood_Ngonga Ngomo_2025, place={Cham},
title={Tree-Based OWL Class Expression Learner over Large Graphs}, DOI={10.1007/978-3-032-06066-2_29},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Demir, Caglar and Yekini, Moshood Olawale and Röder, Michael and Mahmood,
Yasir and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Demir, Caglar, Moshood Olawale Yekini, Michael Röder, Yasir Mahmood, and
Axel-Cyrille Ngonga Ngomo. “Tree-Based OWL Class Expression Learner over Large
Graphs.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2025. https://doi.org/10.1007/978-3-032-06066-2_29.'
ieee: 'C. Demir, M. O. Yekini, M. Röder, Y. Mahmood, and A.-C. Ngonga Ngomo, “Tree-Based
OWL Class Expression Learner over Large Graphs,” presented at the European Conference
on Machine Learning and Principles and Practice of Knowledge Discovery in Databases,
Porto, 2025, doi: 10.1007/978-3-032-06066-2_29.'
mla: Demir, Caglar, et al. “Tree-Based OWL Class Expression Learner over Large Graphs.”
Lecture Notes in Computer Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-032-06066-2_29.
short: 'C. Demir, M.O. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
conference:
end_date: 2025-09-19
location: Porto
name: European Conference on Machine Learning and Principles and Practice of Knowledge
Discovery in Databases
start_date: 2025-09-15
date_created: 2026-01-12T17:13:22Z
date_updated: 2026-01-12T17:17:07Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-032-06066-2_29
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032060655'
- '9783032060662'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Tree-Based OWL Class Expression Learner over Large Graphs
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '63575'
author:
- first_name: Sourabh
full_name: Kapoor, Sourabh
last_name: Kapoor
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Kapoor S, Sharma A, Röder M, Demir C, Ngonga Ngomo A-C. Robustness Evaluation
of Knowledge Graph Embedding Models Under Non-targeted Attacks. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-94575-5_15'
apa: Kapoor, S., Sharma, A., Röder, M., Demir, C., & Ngonga Ngomo, A.-C. (2025).
Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks.
Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-94575-5_15
bibtex: '@inproceedings{Kapoor_Sharma_Röder_Demir_Ngonga Ngomo_2025, place={Cham},
title={Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted
Attacks}, DOI={10.1007/978-3-031-94575-5_15},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Kapoor, Sourabh and Sharma, Arnab and Röder, Michael and Demir, Caglar
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Kapoor, Sourabh, Arnab Sharma, Michael Röder, Caglar Demir, and Axel-Cyrille
Ngonga Ngomo. “Robustness Evaluation of Knowledge Graph Embedding Models Under
Non-Targeted Attacks.” In Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94575-5_15.'
ieee: 'S. Kapoor, A. Sharma, M. Röder, C. Demir, and A.-C. Ngonga Ngomo, “Robustness
Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks,” 2025,
doi: 10.1007/978-3-031-94575-5_15.'
mla: Kapoor, Sourabh, et al. “Robustness Evaluation of Knowledge Graph Embedding
Models Under Non-Targeted Attacks.” Lecture Notes in Computer Science,
Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-94575-5_15.
short: 'S. Kapoor, A. Sharma, M. Röder, C. Demir, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-12T17:24:11Z
date_updated: 2026-01-12T17:24:49Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-031-94575-5_15
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031945748'
- '9783031945755'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted
Attacks
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '63573'
author:
- first_name: Adel
full_name: Memariani, Adel
last_name: Memariani
- first_name: Michael
full_name: Röder, Michael
id: '67199'
last_name: Röder
orcid: https://orcid.org/0000-0002-8609-8277
- first_name: Arnab
full_name: Sharma, Arnab
id: '67200'
last_name: Sharma
- first_name: Caglar
full_name: Demir, Caglar
id: '43817'
last_name: Demir
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Memariani A, Röder M, Sharma A, Demir C, Ngonga Ngomo A-C. Link Prediction
Under Non-targeted Attacks: Do Soft Labels Always Help? In: Lecture Notes in
Computer Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-09527-5_6'
apa: 'Memariani, A., Röder, M., Sharma, A., Demir, C., & Ngonga Ngomo, A.-C.
(2025). Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-09527-5_6'
bibtex: '@inproceedings{Memariani_Röder_Sharma_Demir_Ngonga Ngomo_2025, place={Cham},
title={Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?},
DOI={10.1007/978-3-032-09527-5_6},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Memariani, Adel and Röder, Michael and Sharma, Arnab and Demir, Caglar
and Ngonga Ngomo, Axel-Cyrille}, year={2025} }'
chicago: 'Memariani, Adel, Michael Röder, Arnab Sharma, Caglar Demir, and Axel-Cyrille
Ngonga Ngomo. “Link Prediction Under Non-Targeted Attacks: Do Soft Labels Always
Help?” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2025. https://doi.org/10.1007/978-3-032-09527-5_6.'
ieee: 'A. Memariani, M. Röder, A. Sharma, C. Demir, and A.-C. Ngonga Ngomo, “Link
Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?,” 2025, doi:
10.1007/978-3-032-09527-5_6.'
mla: 'Memariani, Adel, et al. “Link Prediction Under Non-Targeted Attacks: Do Soft
Labels Always Help?” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2025, doi:10.1007/978-3-032-09527-5_6.'
short: 'A. Memariani, M. Röder, A. Sharma, C. Demir, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-01-12T17:18:35Z
date_updated: 2026-01-12T17:24:46Z
department:
- _id: '574'
- _id: '923'
doi: 10.1007/978-3-032-09527-5_6
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032095268'
- '9783032095275'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?'
type: conference
user_id: '67199'
year: '2025'
...
---
_id: '64881'
author:
- first_name: Nada
full_name: Almalki, Nada
last_name: Almalki
- first_name: Siddharth
full_name: Gupta, Siddharth
last_name: Gupta
- first_name: Othon
full_name: Michail, Othon
last_name: Michail
- first_name: Andreas
full_name: Padalkin, Andreas
last_name: Padalkin
citation:
ama: 'Almalki N, Gupta S, Michail O, Padalkin A. Efficient Distributed Algorithms
for Shape Reduction via Reconfigurable Circuits. In: Lecture Notes in Computer
Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-11127-2_5'
apa: Almalki, N., Gupta, S., Michail, O., & Padalkin, A. (2025). Efficient Distributed
Algorithms for Shape Reduction via Reconfigurable Circuits. In Lecture Notes
in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-11127-2_5
bibtex: '@inbook{Almalki_Gupta_Michail_Padalkin_2025, place={Cham}, title={Efficient
Distributed Algorithms for Shape Reduction via Reconfigurable Circuits}, DOI={10.1007/978-3-032-11127-2_5},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Almalki, Nada and Gupta, Siddharth and Michail, Othon and Padalkin, Andreas},
year={2025} }'
chicago: 'Almalki, Nada, Siddharth Gupta, Othon Michail, and Andreas Padalkin. “Efficient
Distributed Algorithms for Shape Reduction via Reconfigurable Circuits.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-11127-2_5.'
ieee: 'N. Almalki, S. Gupta, O. Michail, and A. Padalkin, “Efficient Distributed
Algorithms for Shape Reduction via Reconfigurable Circuits,” in Lecture Notes
in Computer Science, Cham: Springer Nature Switzerland, 2025.'
mla: Almalki, Nada, et al. “Efficient Distributed Algorithms for Shape Reduction
via Reconfigurable Circuits.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2025, doi:10.1007/978-3-032-11127-2_5.
short: 'N. Almalki, S. Gupta, O. Michail, A. Padalkin, in: Lecture Notes in Computer
Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2026-03-11T07:42:55Z
date_updated: 2026-03-11T07:43:49Z
doi: 10.1007/978-3-032-11127-2_5
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032111265'
- '9783032111272'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Efficient Distributed Algorithms for Shape Reduction via Reconfigurable Circuits
type: book_chapter
user_id: '88238'
year: '2025'
...
---
_id: '63854'
author:
- first_name: Hendrik
full_name: Eikerling, Hendrik
last_name: Eikerling
- first_name: Anemone
full_name: Kampkötter, Anemone
last_name: Kampkötter
citation:
ama: 'Eikerling H, Kampkötter A. Enabling Android Application Monitoring by Characterizing
Security-Critical Code Fragments. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2025. doi:10.1007/978-3-031-82362-6_25'
apa: Eikerling, H., & Kampkötter, A. (2025). Enabling Android Application Monitoring
by Characterizing Security-Critical Code Fragments. Lecture Notes in Computer
Science. https://doi.org/10.1007/978-3-031-82362-6_25
bibtex: '@inproceedings{Eikerling_Kampkötter_2025, place={Cham}, title={Enabling
Android Application Monitoring by Characterizing Security-Critical Code Fragments},
DOI={10.1007/978-3-031-82362-6_25},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Eikerling, Hendrik and Kampkötter, Anemone}, year={2025} }'
chicago: 'Eikerling, Hendrik, and Anemone Kampkötter. “Enabling Android Application
Monitoring by Characterizing Security-Critical Code Fragments.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82362-6_25.'
ieee: 'H. Eikerling and A. Kampkötter, “Enabling Android Application Monitoring
by Characterizing Security-Critical Code Fragments,” 2025, doi: 10.1007/978-3-031-82362-6_25.'
mla: Eikerling, Hendrik, and Anemone Kampkötter. “Enabling Android Application Monitoring
by Characterizing Security-Critical Code Fragments.” Lecture Notes in Computer
Science, Springer Nature Switzerland, 2025, doi:10.1007/978-3-031-82362-6_25.
short: 'H. Eikerling, A. Kampkötter, in: Lecture Notes in Computer Science, Springer
Nature Switzerland, Cham, 2025.'
date_created: 2026-02-03T23:17:33Z
date_updated: 2026-03-16T09:03:52Z
department:
- _id: '241'
- _id: '662'
doi: 10.1007/978-3-031-82362-6_25
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031823619'
- '9783031823626'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Enabling Android Application Monitoring by Characterizing Security-Critical
Code Fragments
type: conference
user_id: '29279'
year: '2025'
...
---
_id: '54412'
author:
- first_name: Asep Fajar
full_name: Firmansyah, Asep Fajar
id: '76787'
last_name: Firmansyah
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Firmansyah AF, Moussallem D, Ngonga Ngomo A-C. ESLM: Improving Entity Summarization
by Leveraging Language Models. In: The Semantic Web. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-60626-7_9'
apa: 'Firmansyah, A. F., Moussallem, D., & Ngonga Ngomo, A.-C. (2024). ESLM:
Improving Entity Summarization by Leveraging Language Models. In The Semantic
Web. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60626-7_9'
bibtex: '@inbook{Firmansyah_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={ESLM:
Improving Entity Summarization by Leveraging Language Models}, DOI={10.1007/978-3-031-60626-7_9},
booktitle={The Semantic Web}, publisher={Springer Nature Switzerland}, author={Firmansyah,
Asep Fajar and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, year={2024}
}'
chicago: 'Firmansyah, Asep Fajar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo.
“ESLM: Improving Entity Summarization by Leveraging Language Models.” In The
Semantic Web. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60626-7_9.'
ieee: 'A. F. Firmansyah, D. Moussallem, and A.-C. Ngonga Ngomo, “ESLM: Improving
Entity Summarization by Leveraging Language Models,” in The Semantic Web,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Firmansyah, Asep Fajar, et al. “ESLM: Improving Entity Summarization by Leveraging
Language Models.” The Semantic Web, Springer Nature Switzerland, 2024,
doi:10.1007/978-3-031-60626-7_9.'
short: 'A.F. Firmansyah, D. Moussallem, A.-C. Ngonga Ngomo, in: The Semantic Web,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-05-22T09:00:03Z
date_updated: 2024-06-04T11:09:23Z
department:
- _id: '574'
- _id: '34'
doi: 10.1007/978-3-031-60626-7_9
language:
- iso: eng
place: Cham
publication: The Semantic Web
publication_identifier:
isbn:
- '9783031606250'
- '9783031606267'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'ESLM: Improving Entity Summarization by Leveraging Language Models'
type: book_chapter
user_id: '76787'
year: '2024'
...
---
_id: '54580'
author:
- first_name: Yasir
full_name: Mahmood, Yasir
id: '99353'
last_name: Mahmood
- first_name: Jonni
full_name: Virtema, Jonni
last_name: Virtema
- first_name: Timon
full_name: Barlag, Timon
last_name: Barlag
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Mahmood Y, Virtema J, Barlag T, Ngonga Ngomo A-C. Computing Repairs Under
Functional and Inclusion Dependencies via Argumentation. In: Lecture Notes
in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-56940-1_2'
apa: Mahmood, Y., Virtema, J., Barlag, T., & Ngonga Ngomo, A.-C. (2024). Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-56940-1_2
bibtex: '@inbook{Mahmood_Virtema_Barlag_Ngonga Ngomo_2024, place={Cham}, title={Computing
Repairs Under Functional and Inclusion Dependencies via Argumentation}, DOI={10.1007/978-3-031-56940-1_2},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Mahmood, Yasir and Virtema, Jonni and Barlag, Timon and Ngonga Ngomo,
Axel-Cyrille}, year={2024} }'
chicago: 'Mahmood, Yasir, Jonni Virtema, Timon Barlag, and Axel-Cyrille Ngonga Ngomo.
“Computing Repairs Under Functional and Inclusion Dependencies via Argumentation.”
In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2024. https://doi.org/10.1007/978-3-031-56940-1_2.'
ieee: 'Y. Mahmood, J. Virtema, T. Barlag, and A.-C. Ngonga Ngomo, “Computing Repairs
Under Functional and Inclusion Dependencies via Argumentation,” in Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: Mahmood, Yasir, et al. “Computing Repairs Under Functional and Inclusion Dependencies
via Argumentation.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2024, doi:10.1007/978-3-031-56940-1_2.
short: 'Y. Mahmood, J. Virtema, T. Barlag, A.-C. Ngonga Ngomo, in: Lecture Notes
in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-06-04T10:01:16Z
date_updated: 2024-06-04T15:53:59Z
department:
- _id: '574'
doi: 10.1007/978-3-031-56940-1_2
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031569395'
- '9783031569401'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Computing Repairs Under Functional and Inclusion Dependencies via Argumentation
type: book_chapter
user_id: '99353'
year: '2024'
...
---
_id: '54624'
author:
- first_name: Jörg
full_name: Papenkordt, Jörg
last_name: Papenkordt
citation:
ama: 'Papenkordt J. Navigating Transparency: The Influence of On-demand Explanations
on Non-expert User Interaction with AI. In: Artificial Intelligence in HCI.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-60606-9_14'
apa: 'Papenkordt, J. (2024). Navigating Transparency: The Influence of On-demand
Explanations on Non-expert User Interaction with AI. In Artificial Intelligence
in HCI. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60606-9_14'
bibtex: '@inbook{Papenkordt_2024, place={Cham}, title={Navigating Transparency:
The Influence of On-demand Explanations on Non-expert User Interaction with AI},
DOI={10.1007/978-3-031-60606-9_14},
booktitle={Artificial Intelligence in HCI}, publisher={Springer Nature Switzerland},
author={Papenkordt, Jörg}, year={2024} }'
chicago: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand
Explanations on Non-Expert User Interaction with AI.” In Artificial Intelligence
in HCI. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-60606-9_14.'
ieee: 'J. Papenkordt, “Navigating Transparency: The Influence of On-demand Explanations
on Non-expert User Interaction with AI,” in Artificial Intelligence in HCI,
Cham: Springer Nature Switzerland, 2024.'
mla: 'Papenkordt, Jörg. “Navigating Transparency: The Influence of On-Demand Explanations
on Non-Expert User Interaction with AI.” Artificial Intelligence in HCI,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-60606-9_14.'
short: 'J. Papenkordt, in: Artificial Intelligence in HCI, Springer Nature Switzerland,
Cham, 2024.'
date_created: 2024-06-05T10:52:55Z
date_updated: 2024-06-05T10:52:59Z
department:
- _id: '178'
- _id: '184'
doi: 10.1007/978-3-031-60606-9_14
language:
- iso: eng
place: Cham
publication: Artificial Intelligence in HCI
publication_identifier:
isbn:
- '9783031606052'
- '9783031606069'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Navigating Transparency: The Influence of On-demand Explanations on Non-expert
User Interaction with AI'
type: book_chapter
user_id: '72497'
year: '2024'
...
---
_id: '52759'
author:
- first_name: Oliver Ludger
full_name: Preuß, Oliver Ludger
id: '102978'
last_name: Preuß
orcid: 0009-0008-9308-2418
- first_name: Jeroen
full_name: Rook, Jeroen
last_name: Rook
- first_name: Heike
full_name: Trautmann, Heike
id: '100740'
last_name: Trautmann
orcid: 0000-0002-9788-8282
citation:
ama: 'Preuß OL, Rook J, Trautmann H. On the Potential of Multi-objective Automated
Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems.
In: Applications of Evolutionary Computation. Springer Nature Switzerland;
2024. doi:10.1007/978-3-031-56852-7_20'
apa: Preuß, O. L., Rook, J., & Trautmann, H. (2024). On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems. In Applications of Evolutionary Computation. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-56852-7_20
bibtex: '@inbook{Preuß_Rook_Trautmann_2024, place={Cham}, title={On the Potential
of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective
Optimisation Problems}, DOI={10.1007/978-3-031-56852-7_20},
booktitle={Applications of Evolutionary Computation}, publisher={Springer Nature
Switzerland}, author={Preuß, Oliver Ludger and Rook, Jeroen and Trautmann, Heike},
year={2024} }'
chicago: 'Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential
of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective
Optimisation Problems.” In Applications of Evolutionary Computation. Cham:
Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-56852-7_20.'
ieee: 'O. L. Preuß, J. Rook, and H. Trautmann, “On the Potential of Multi-objective
Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation
Problems,” in Applications of Evolutionary Computation, Cham: Springer
Nature Switzerland, 2024.'
mla: Preuß, Oliver Ludger, et al. “On the Potential of Multi-Objective Automated
Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”
Applications of Evolutionary Computation, Springer Nature Switzerland,
2024, doi:10.1007/978-3-031-56852-7_20.
short: 'O.L. Preuß, J. Rook, H. Trautmann, in: Applications of Evolutionary Computation,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-03-25T08:22:57Z
date_updated: 2024-06-10T11:55:38Z
department:
- _id: '819'
doi: 10.1007/978-3-031-56852-7_20
language:
- iso: eng
place: Cham
publication: Applications of Evolutionary Computation
publication_identifier:
isbn:
- '9783031568510'
- '9783031568527'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal
Multi-objective Optimisation Problems
type: book_chapter
user_id: '15504'
year: '2024'
...
---
_id: '54802'
abstract:
- lang: eng
text: Motivated by the prospect of nano-robots that assist human physiological functions
at the nanoscale, we investigate the coating problem in the three-dimensional
model for hybrid programmable matter. In this model, a single agent with strictly
limited viewing range and the computational capability of a deterministic finite
automaton can act on passive tiles by picking up a tile, moving, and placing it
at some spot. The goal of the coating problem is to fill each node of some surface
graph of size n with a tile. We first solve the problem on a restricted class
of graphs with a single tile type, and then use constantly many tile types to
encode this graph in certain surface graphs capturing the surface of 3D objects.
Our algorithm requires O(n^2) steps, which is worst-case optimal compared to an
agent with global knowledge and no memory restrictions.
author:
- first_name: Irina
full_name: Kostitsyna, Irina
last_name: Kostitsyna
- first_name: David Jan
full_name: Liedtke, David Jan
id: '55557'
last_name: Liedtke
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: 'Kostitsyna I, Liedtke DJ, Scheideler C. Universal Coating by 3D Hybrid Programmable
Matter. In: Emek Y, ed. Structural Information and Communication Complexity.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-60603-8_21'
apa: Kostitsyna, I., Liedtke, D. J., & Scheideler, C. (2024). Universal Coating
by 3D Hybrid Programmable Matter. In Y. Emek (Ed.), Structural Information
and Communication Complexity. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60603-8_21
bibtex: '@inbook{Kostitsyna_Liedtke_Scheideler_2024, place={Cham}, title={Universal
Coating by 3D Hybrid Programmable Matter}, DOI={10.1007/978-3-031-60603-8_21},
booktitle={Structural Information and Communication Complexity}, publisher={Springer
Nature Switzerland}, author={Kostitsyna, Irina and Liedtke, David Jan and Scheideler,
Christian}, editor={Emek, Yuval}, year={2024} }'
chicago: 'Kostitsyna, Irina, David Jan Liedtke, and Christian Scheideler. “Universal
Coating by 3D Hybrid Programmable Matter.” In Structural Information and Communication
Complexity, edited by Yuval Emek. Cham: Springer Nature Switzerland, 2024.
https://doi.org/10.1007/978-3-031-60603-8_21.'
ieee: 'I. Kostitsyna, D. J. Liedtke, and C. Scheideler, “Universal Coating by 3D
Hybrid Programmable Matter,” in Structural Information and Communication Complexity,
Y. Emek, Ed. Cham: Springer Nature Switzerland, 2024.'
mla: Kostitsyna, Irina, et al. “Universal Coating by 3D Hybrid Programmable Matter.”
Structural Information and Communication Complexity, edited by Yuval Emek,
Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-60603-8_21.
short: 'I. Kostitsyna, D.J. Liedtke, C. Scheideler, in: Y. Emek (Ed.), Structural
Information and Communication Complexity, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-06-18T07:36:04Z
date_updated: 2024-07-18T09:32:58Z
department:
- _id: '79'
doi: 10.1007/978-3-031-60603-8_21
editor:
- first_name: Yuval
full_name: Emek, Yuval
last_name: Emek
keyword:
- Programmable Matter
- Coating
- Finite Automaton
- 3D
language:
- iso: eng
place: Cham
publication: Structural Information and Communication Complexity
publication_identifier:
isbn:
- '9783031606021'
- '9783031606038'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Universal Coating by 3D Hybrid Programmable Matter
type: book_chapter
user_id: '55557'
year: '2024'
...
---
_id: '56079'
author:
- first_name: Maximilian Manfred
full_name: Radoy, Maximilian Manfred
id: '68826'
last_name: Radoy
orcid: 0009-0005-3059-6823
- first_name: Sven Niclas
full_name: Hebrok, Sven Niclas
id: '55616'
last_name: Hebrok
orcid: 0009-0006-1172-1665
- first_name: Juraj
full_name: Somorovsky, Juraj
id: '83504'
last_name: Somorovsky
orcid: 0000-0002-3593-7720
citation:
ama: 'Radoy MM, Hebrok SN, Somorovsky J. In Search of Partitioning Oracle Attacks
Against TLS Session Tickets. In: Lecture Notes in Computer Science. Springer
Nature Switzerland; 2024. doi:10.1007/978-3-031-70896-1_16'
apa: Radoy, M. M., Hebrok, S. N., & Somorovsky, J. (2024). In Search of Partitioning
Oracle Attacks Against TLS Session Tickets. In Lecture Notes in Computer Science.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70896-1_16
bibtex: '@inbook{Radoy_Hebrok_Somorovsky_2024, place={Cham}, title={In Search of Partitioning
Oracle Attacks Against TLS Session Tickets}, DOI={10.1007/978-3-031-70896-1_16},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Radoy, Maximilian Manfred and Hebrok, Sven Niclas and Somorovsky, Juraj},
year={2024} }'
chicago: 'Radoy, Maximilian Manfred, Sven Niclas Hebrok, and Juraj Somorovsky. “In
Search of Partitioning Oracle Attacks Against TLS Session Tickets.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70896-1_16.'
ieee: 'M. M. Radoy, S. N. Hebrok, and J. Somorovsky, “In Search of Partitioning
Oracle Attacks Against TLS Session Tickets,” in Lecture Notes in Computer Science,
Cham: Springer Nature Switzerland, 2024.'
mla: Radoy, Maximilian Manfred, et al. “In Search of Partitioning Oracle Attacks
Against TLS Session Tickets.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70896-1_16.
short: 'M.M. Radoy, S.N. Hebrok, J. Somorovsky, in: Lecture Notes in Computer Science,
Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-09-06T07:06:14Z
date_updated: 2024-10-07T13:38:28Z
department:
- _id: '632'
doi: 10.1007/978-3-031-70896-1_16
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031708954'
- '9783031708961'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: In Search of Partitioning Oracle Attacks Against TLS Session Tickets
type: book_chapter
user_id: '68826'
year: '2024'
...
---
_id: '56606'
abstract:
- lang: eng
text: AbstractMost FPGA boards in the HPC domain
are well-suited for parallel scaling because of the direct integration of versatile
and high-throughput network ports. However, the utilization of their network capabilities is
often challenging and error-prone because the whole network stack and communication
patterns have to be implemented and managed on the FPGAs. Also, this approach
conceptually involves a trade-off between the performance potential of improved
communication and the impact of resource consumption for communication infrastructure,
since the utilized resources on the FPGAs could otherwise be used for computations.
In this work, we investigate this trade-off, firstly, by using synthetic benchmarks
to evaluate the different configuration options of the communication framework
ACCL and their impact on communication latency and throughput. Finally, we use
our findings to implement a shallow water simulation whose scalability heavily
depends on low-latency communication. With a suitable configuration of ACCL, good
scaling behavior can be shown to all 48 FPGAs installed in the system. Overall,
the results show that the availability of inter-FPGA communication frameworks
as well as the configurability of framework and network stack are crucial to achieve
the best application performance with low latency communication.
author:
- first_name: Marius
full_name: Meyer, Marius
last_name: Meyer
- first_name: Tobias
full_name: Kenter, Tobias
last_name: Kenter
- first_name: Lucian
full_name: Petrica, Lucian
last_name: Petrica
- first_name: Kenneth
full_name: O’Brien, Kenneth
last_name: O’Brien
- first_name: Michaela
full_name: Blott, Michaela
last_name: Blott
- first_name: Christian
full_name: Plessl, Christian
last_name: Plessl
citation:
ama: 'Meyer M, Kenter T, Petrica L, O’Brien K, Blott M, Plessl C. Optimizing Communication
for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-69766-1_9'
apa: Meyer, M., Kenter, T., Petrica, L., O’Brien, K., Blott, M., & Plessl, C.
(2024). Optimizing Communication for Latency Sensitive HPC Applications on up
to 48 FPGAs Using ACCL. In Lecture Notes in Computer Science. Springer
Nature Switzerland. https://doi.org/10.1007/978-3-031-69766-1_9
bibtex: '@inbook{Meyer_Kenter_Petrica_O’Brien_Blott_Plessl_2024, place={Cham}, title={Optimizing
Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL},
DOI={10.1007/978-3-031-69766-1_9},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Meyer, Marius and Kenter, Tobias and Petrica, Lucian and O’Brien, Kenneth
and Blott, Michaela and Plessl, Christian}, year={2024} }'
chicago: 'Meyer, Marius, Tobias Kenter, Lucian Petrica, Kenneth O’Brien, Michaela
Blott, and Christian Plessl. “Optimizing Communication for Latency Sensitive HPC
Applications on up to 48 FPGAs Using ACCL.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-69766-1_9.'
ieee: 'M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, and C. Plessl, “Optimizing
Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL,”
in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: Meyer, Marius, et al. “Optimizing Communication for Latency Sensitive HPC Applications
on up to 48 FPGAs Using ACCL.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-69766-1_9.
short: 'M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, C. Plessl, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2024-10-14T07:51:51Z
date_updated: 2024-10-14T07:55:50Z
department:
- _id: '27'
- _id: '518'
doi: 10.1007/978-3-031-69766-1_9
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031697654'
- '9783031697661'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: Optimizing Communication for Latency Sensitive HPC Applications on up to 48
FPGAs Using ACCL
type: book_chapter
user_id: '3145'
year: '2024'
...
---
_id: '56581'
abstract:
- lang: eng
text: 'In recent years, there has been a surge in natural language processing research
focused on low-resource languages (LrLs), underscoring the growing recognition
that LrLs deserve the same attention as high-resource languages (HrLs). This shift
is crucial for ensuring linguistic diversity and inclusivity in the digital age.
Despite Indonesian ranking as the 11th most spoken language globally, it remains
under-resourced in terms of computational tools and datasets. Within the semantic
web domain, Entity Linking (EL) is pivotal, linking textual entity mentions to
their corresponding entries in knowledge bases. This process is foundational for
advanced information extraction tasks, including relation extraction and event
detection. To bolster EL research in Indonesian, we introduce IndEL, the first
benchmark dataset tailored for both general and specific domains. IndEL was manually
curated using Wikidata, adhering to a rigorous set of annotation guidelines. We
used two Named Entity Recognition (NER) benchmark datasets for entity extraction:
NER UI for the general domain and IndQNER for the specific domain. IndQNER focused
on entities from the Indonesian translation of the Quran. IndEL comprises 4765
entities in the general domain and 2453 in the specific domain. Using the GERBIL
framework, we use IndEL to evaluate the performance of various EL systems, such
as Babelfy, DBpedia Spotlight, MAG, OpenTapioca, and WAT. Our further investigation
reveals that within Wikidata, a significant number of NIL entities remain unlinked
due to the limited number of Indonesian labels and the use of acronyms. Especially
in the specific domain, transliteration and translation processes performed to
create the Indonesian translation of the Quran contribute to the presence of entities
in a descriptive form and as synonyms.'
author:
- first_name: Ria Hari
full_name: Gusmita, Ria Hari
id: '71039'
last_name: Gusmita
- first_name: Muhammad Faruq Amiral
full_name: Abshar, Muhammad Faruq Amiral
last_name: Abshar
- first_name: Diego
full_name: Moussallem, Diego
id: '71635'
last_name: Moussallem
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
id: '65716'
last_name: Ngonga Ngomo
citation:
ama: 'Gusmita RH, Abshar MFA, Moussallem D, Ngonga Ngomo A-C. IndEL: Indonesian
Entity Linking Benchmark Dataset for General and Specific Domains. In: Lecture
Notes in Computer Science. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-70239-6_34'
apa: 'Gusmita, R. H., Abshar, M. F. A., Moussallem, D., & Ngonga Ngomo, A.-C.
(2024). IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains. In Lecture Notes in Computer Science. The 29th Annual International
Conference on Natural Language & Information Systems (NLDB 2024), Turin, Italy.
Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-70239-6_34'
bibtex: '@inbook{Gusmita_Abshar_Moussallem_Ngonga Ngomo_2024, place={Cham}, title={IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains},
DOI={10.1007/978-3-031-70239-6_34},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Gusmita, Ria Hari and Abshar, Muhammad Faruq Amiral and Moussallem, Diego
and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
chicago: 'Gusmita, Ria Hari, Muhammad Faruq Amiral Abshar, Diego Moussallem, and
Axel-Cyrille Ngonga Ngomo. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” In Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70239-6_34.'
ieee: 'R. H. Gusmita, M. F. A. Abshar, D. Moussallem, and A.-C. Ngonga Ngomo, “IndEL:
Indonesian Entity Linking Benchmark Dataset for General and Specific Domains,”
in Lecture Notes in Computer Science, Cham: Springer Nature Switzerland,
2024.'
mla: 'Gusmita, Ria Hari, et al. “IndEL: Indonesian Entity Linking Benchmark Dataset
for General and Specific Domains.” Lecture Notes in Computer Science, Springer
Nature Switzerland, 2024, doi:10.1007/978-3-031-70239-6_34.'
short: 'R.H. Gusmita, M.F.A. Abshar, D. Moussallem, A.-C. Ngonga Ngomo, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
conference:
end_date: 2024-06-27
location: Turin, Italy
name: The 29th Annual International Conference on Natural Language & Information
Systems (NLDB 2024)
start_date: 2024-06-25
date_created: 2024-10-10T14:29:08Z
date_updated: 2024-10-14T19:22:16Z
doi: 10.1007/978-3-031-70239-6_34
keyword:
- entity linking benchmark dataset
- Indonesian
- general and specific domains
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031702389'
- '9783031702396'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
related_material:
link:
- relation: confirmation
url: https://link.springer.com/chapter/10.1007/978-3-031-70239-6_34
status: public
title: 'IndEL: Indonesian Entity Linking Benchmark Dataset for General and Specific
Domains'
type: book_chapter
user_id: '71039'
year: '2024'
...
---
_id: '56237'
author:
- first_name: Johanna
full_name: Schönherr, Johanna
id: '99409'
last_name: Schönherr
- first_name: Richard E.
full_name: Mayer, Richard E.
last_name: Mayer
citation:
ama: 'Schönherr J, Mayer RE. Anxiety Moderates the Effects of Drawing Support on
Drawing Accuracy in Mathematical Modeling. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-71291-3_26'
apa: Schönherr, J., & Mayer, R. E. (2024). Anxiety Moderates the Effects of
Drawing Support on Drawing Accuracy in Mathematical Modeling. In Lecture Notes
in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71291-3_26
bibtex: '@inbook{Schönherr_Mayer_2024, place={Cham}, title={Anxiety Moderates the
Effects of Drawing Support on Drawing Accuracy in Mathematical Modeling}, DOI={10.1007/978-3-031-71291-3_26},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Schönherr, Johanna and Mayer, Richard E.}, year={2024} }'
chicago: 'Schönherr, Johanna, and Richard E. Mayer. “Anxiety Moderates the Effects
of Drawing Support on Drawing Accuracy in Mathematical Modeling.” In Lecture
Notes in Computer Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-71291-3_26.'
ieee: 'J. Schönherr and R. E. Mayer, “Anxiety Moderates the Effects of Drawing Support
on Drawing Accuracy in Mathematical Modeling,” in Lecture Notes in Computer
Science, Cham: Springer Nature Switzerland, 2024.'
mla: Schönherr, Johanna, and Richard E. Mayer. “Anxiety Moderates the Effects of
Drawing Support on Drawing Accuracy in Mathematical Modeling.” Lecture Notes
in Computer Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-71291-3_26.
short: 'J. Schönherr, R.E. Mayer, in: Lecture Notes in Computer Science, Springer
Nature Switzerland, Cham, 2024.'
date_created: 2024-09-24T18:03:42Z
date_updated: 2025-05-27T12:15:57Z
department:
- _id: '913'
doi: 10.1007/978-3-031-71291-3_26
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031712906'
- '9783031712913'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: Anxiety Moderates the Effects of Drawing Support on Drawing Accuracy in Mathematical
Modeling
type: book_chapter
user_id: '99409'
year: '2024'
...
---
_id: '64202'
author:
- first_name: Revoti Prasad
full_name: Bora, Revoti Prasad
last_name: Bora
- first_name: Philipp
full_name: Terhörst, Philipp
id: '97123'
last_name: Terhörst
- first_name: Raymond
full_name: Veldhuis, Raymond
last_name: Veldhuis
- first_name: Raghavendra
full_name: Ramachandra, Raghavendra
last_name: Ramachandra
- first_name: Kiran
full_name: Raja, Kiran
last_name: Raja
citation:
ama: 'Bora RP, Terhörst P, Veldhuis R, Ramachandra R, Raja K. CoFE: Consistency-Driven
Feature Elimination for eXplainable AI. In: Lecture Notes in Computer Science.
Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-78189-6_24'
apa: 'Bora, R. P., Terhörst, P., Veldhuis, R., Ramachandra, R., & Raja, K. (2024).
CoFE: Consistency-Driven Feature Elimination for eXplainable AI. In Lecture
Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-78189-6_24'
bibtex: '@inbook{Bora_Terhörst_Veldhuis_Ramachandra_Raja_2024, place={Cham}, title={CoFE:
Consistency-Driven Feature Elimination for eXplainable AI}, DOI={10.1007/978-3-031-78189-6_24},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Bora, Revoti Prasad and Terhörst, Philipp and Veldhuis, Raymond and Ramachandra,
Raghavendra and Raja, Kiran}, year={2024} }'
chicago: 'Bora, Revoti Prasad, Philipp Terhörst, Raymond Veldhuis, Raghavendra Ramachandra,
and Kiran Raja. “CoFE: Consistency-Driven Feature Elimination for EXplainable
AI.” In Lecture Notes in Computer Science. Cham: Springer Nature Switzerland,
2024. https://doi.org/10.1007/978-3-031-78189-6_24.'
ieee: 'R. P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, and K. Raja, “CoFE:
Consistency-Driven Feature Elimination for eXplainable AI,” in Lecture Notes
in Computer Science, Cham: Springer Nature Switzerland, 2024.'
mla: 'Bora, Revoti Prasad, et al. “CoFE: Consistency-Driven Feature Elimination
for EXplainable AI.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2024, doi:10.1007/978-3-031-78189-6_24.'
short: 'R.P. Bora, P. Terhörst, R. Veldhuis, R. Ramachandra, K. Raja, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.'
date_created: 2026-02-18T09:38:20Z
date_updated: 2026-02-19T07:51:43Z
doi: 10.1007/978-3-031-78189-6_24
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783031781889'
- '9783031781896'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'CoFE: Consistency-Driven Feature Elimination for eXplainable AI'
type: book_chapter
user_id: '97123'
year: '2024'
...