---
_id: '15920'
abstract:
- lang: eng
text: "Secure hardware design is the most important aspect to be considered in addition
to functional correctness. Achieving hardware security in today’s globalized Integrated
Cir- cuit(IC) supply chain is a challenging task. One solution that is widely
considered to help achieve secure hardware designs is Information Flow Tracking(IFT).
It provides an ap- proach to verify that the systems adhere to security properties
either by static verification during design phase or dynamic checking during runtime.\r\nProof-Carrying
Hardware(PCH) is an approach to verify a functional design prior to using it in
hardware. It is a two-party verification approach, where the target party, the
consumer requests new functionalities with pre-defined properties to the producer.
In response, the producer designs the IP (Intellectual Property) cores with the
requested functionalities that adhere to the consumer-defined properties. The
producer provides the IP cores and a proof certificate combined into a proof-carrying
bitstream to the consumer to verify it. If the verification is successful, the
consumer can use the IP cores in his hardware. In essence, the consumer can only
run verified IP cores. Correctly applied, PCH techniques can help consumers to
defend against many unintentional modifications and malicious alterations of the
modules they receive. There are numerous published examples of how to use PCH
to detect any change in the functionality of a circuit, i.e., pairing a PCH approach
with functional equivalence checking for combinational or sequential circuits.
For non-functional properties, since opening new covert channels to leak secret
information from secure circuits is a viable attack vector for hardware trojans,
i.e., intentionally added malicious circuitry, IFT technique is employed to make
sure that secret/untrusted information never reaches any unclassified/trusted
outputs.\r\nThis master thesis aims to explore the possibility of adapting Information
Flow Tracking into a Proof-Carrying Hardware scenario. It aims to create a method
that combines Infor- mation Flow Tracking(IFT) with a PCH approach at bitstream
level enabling consumers to validate the trustworthiness of a module’s information
flow without the computational costs of a complete flow analysis."
author:
- first_name: Monica
full_name: Keerthipati, Monica
last_name: Keerthipati
citation:
ama: Keerthipati M. A Bitstream-Level Proof-Carrying Hardware Technique for Information
Flow Tracking. Universität Paderborn; 2019.
apa: Keerthipati, M. (2019). A Bitstream-Level Proof-Carrying Hardware Technique
for Information Flow Tracking. Universität Paderborn.
bibtex: '@book{Keerthipati_2019, title={A Bitstream-Level Proof-Carrying Hardware
Technique for Information Flow Tracking}, publisher={Universität Paderborn}, author={Keerthipati,
Monica}, year={2019} }'
chicago: Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique
for Information Flow Tracking. Universität Paderborn, 2019.
ieee: M. Keerthipati, A Bitstream-Level Proof-Carrying Hardware Technique for
Information Flow Tracking. Universität Paderborn, 2019.
mla: Keerthipati, Monica. A Bitstream-Level Proof-Carrying Hardware Technique
for Information Flow Tracking. Universität Paderborn, 2019.
short: M. Keerthipati, A Bitstream-Level Proof-Carrying Hardware Technique for Information
Flow Tracking, Universität Paderborn, 2019.
date_created: 2020-02-17T12:03:40Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '78'
language:
- iso: eng
project:
- _id: '12'
name: SFB 901 - Subproject B4
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Sybille
full_name: Hellebrand, Sybille
id: '209'
last_name: Hellebrand
orcid: 0000-0002-3717-3939
title: A Bitstream-Level Proof-Carrying Hardware Technique for Information Flow Tracking
type: mastersthesis
user_id: '477'
year: '2019'
...
---
_id: '15921'
abstract:
- lang: eng
text: "Ranking plays a central role in a large number of applications driven by
RDF knowledge graphs. Over the last years, many popular RDF knowledge graphs have
grown so large that rankings for the facts they contain cannot be computed directly
using the currently common 64-bit platforms. In this paper, we tackle two problems:\r\nComputing
ranks on such large knowledge bases efficiently and incrementally. First, we present
D-HARE, a distributed approach for computing ranks on very large knowledge graphs.
D-HARE assumes the random surfer model and relies on data partitioning to compute
matrix multiplications and transpositions on disk for matrices of arbitrary size.
Moreover, the data partitioning underlying D-HARE allows the execution of most
of its steps in parallel.\r\nAs very large knowledge graphs are often updated
periodically, we tackle the incremental computation of ranks on large knowledge
bases as a second problem. We address this problem by presenting\r\nI-HARE, an
approximation technique for calculating the overall ranking scores of a knowledge
without the need to recalculate the ranking from scratch at each new revision.
We evaluate our approaches by calculating ranks on the 3 × 10^9 and 2.4 × 10^9
triples from Wikidata resp. LinkedGeoData. Our evaluation demonstrates\r\nthat
D-HARE is the first holistic approach for computing ranks on very large RDF knowledge
graphs. In addition, our incremental approach achieves a root mean squared error
of less than 10E−7 in the best case. Both D-HARE\r\n and I-HARE are open-source
and are available at: https://github.com/dice-group/incrementalHARE.\r\n"
author:
- first_name: Abdelmoneim Amer
full_name: Desouki, Abdelmoneim Amer
last_name: Desouki
- first_name: Michael
full_name: Röder, Michael
last_name: Röder
- first_name: Axel-Cyrille
full_name: Ngonga Ngomo, Axel-Cyrille
last_name: Ngonga Ngomo
citation:
ama: 'Desouki AA, Röder M, Ngonga Ngomo A-C. Ranking on Very Large Knowledge Graphs.
In: Proceedings of the 30th ACM Conference on Hypertext and Social Media -
HT ’19. ACM; 2019:163-171. doi:10.1145/3342220.3343660'
apa: Desouki, A. A., Röder, M., & Ngonga Ngomo, A.-C. (2019). Ranking on Very
Large Knowledge Graphs. In Proceedings of the 30th ACM Conference on Hypertext
and Social Media - HT ’19 (pp. 163–171). ACM. https://doi.org/10.1145/3342220.3343660
bibtex: '@inproceedings{Desouki_Röder_Ngonga Ngomo_2019, title={Ranking on Very
Large Knowledge Graphs}, DOI={10.1145/3342220.3343660},
booktitle={Proceedings of the 30th ACM Conference on Hypertext and Social Media
- HT ’19}, publisher={ACM}, author={Desouki, Abdelmoneim Amer and Röder, Michael
and Ngonga Ngomo, Axel-Cyrille}, year={2019}, pages={163–171} }'
chicago: Desouki, Abdelmoneim Amer, Michael Röder, and Axel-Cyrille Ngonga Ngomo.
“Ranking on Very Large Knowledge Graphs.” In Proceedings of the 30th ACM Conference
on Hypertext and Social Media - HT ’19, 163–71. ACM, 2019. https://doi.org/10.1145/3342220.3343660.
ieee: A. A. Desouki, M. Röder, and A.-C. Ngonga Ngomo, “Ranking on Very Large Knowledge
Graphs,” in Proceedings of the 30th ACM Conference on Hypertext and Social
Media - HT ’19, 2019, pp. 163–171.
mla: Desouki, Abdelmoneim Amer, et al. “Ranking on Very Large Knowledge Graphs.”
Proceedings of the 30th ACM Conference on Hypertext and Social Media - HT
’19, ACM, 2019, pp. 163–71, doi:10.1145/3342220.3343660.
short: 'A.A. Desouki, M. Röder, A.-C. Ngonga Ngomo, in: Proceedings of the 30th
ACM Conference on Hypertext and Social Media - HT ’19, ACM, 2019, pp. 163–171.'
conference:
end_date: 2019-09-20
name: 30th ACM Conference on Hypertext and Social Media
start_date: 2019-09-17
date_created: 2020-02-18T16:39:35Z
date_updated: 2022-01-06T06:52:41Z
department:
- _id: '574'
doi: 10.1145/3342220.3343660
keyword:
- Knowledge Graphs
- Ranking
- RDF
language:
- iso: eng
page: 163-171
project:
- _id: '52'
name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 30th ACM Conference on Hypertext and Social Media -
HT '19
publication_identifier:
isbn:
- '9781450368858'
publication_status: published
publisher: ACM
status: public
title: Ranking on Very Large Knowledge Graphs
type: conference
user_id: '69382'
year: '2019'
...
---
_id: '14568'
author:
- first_name: Stefan
full_name: Heindorf, Stefan
id: '11871'
last_name: Heindorf
orcid: 0000-0002-4525-6865
- first_name: Yan
full_name: Scholten, Yan
last_name: Scholten
- first_name: Gregor
full_name: Engels, Gregor
id: '107'
last_name: Engels
- first_name: Martin
full_name: Potthast, Martin
last_name: Potthast
citation:
ama: 'Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection
Models at Wikidata (Extended Abstract). In: INFORMATIK. ; 2019:289-290.
doi:10.18420/inf2019_48'
apa: Heindorf, S., Scholten, Y., Engels, G., & Potthast, M. (2019). Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract). In INFORMATIK
(pp. 289–290). https://doi.org/10.18420/inf2019_48
bibtex: '@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, title={Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract)}, DOI={10.18420/inf2019_48},
booktitle={INFORMATIK}, author={Heindorf, Stefan and Scholten, Yan and Engels,
Gregor and Potthast, Martin}, year={2019}, pages={289–290} }'
chicago: Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing
Vandalism Detection Models at Wikidata (Extended Abstract).” In INFORMATIK,
289–90, 2019. https://doi.org/10.18420/inf2019_48.
ieee: S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism
Detection Models at Wikidata (Extended Abstract),” in INFORMATIK, 2019,
pp. 289–290.
mla: Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata
(Extended Abstract).” INFORMATIK, 2019, pp. 289–90, doi:10.18420/inf2019_48.
short: 'S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: INFORMATIK, 2019,
pp. 289–290.'
date_created: 2019-11-05T15:48:52Z
date_updated: 2022-01-06T06:52:03Z
department:
- _id: '66'
doi: 10.18420/inf2019_48
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://dl.gi.de/bitstream/handle/20.500.12116/24997/paper3_25.pdf
oa: '1'
page: 289-290
publication: INFORMATIK
status: public
title: Debiasing Vandalism Detection Models at Wikidata (Extended Abstract)
type: conference
user_id: '11871'
year: '2019'
...
---
_id: '14817'
article_number: '101975'
author:
- first_name: Christoph
full_name: Sommer, Christoph
id: '49154'
last_name: Sommer
orcid: 0000-0002-4336-7350
- first_name: Stefano
full_name: Basagni, Stefano
last_name: Basagni
citation:
ama: Sommer C, Basagni S. Advances and novel applications of mobile wireless networking.
Ad Hoc Networks. 2019. doi:10.1016/j.adhoc.2019.101975
apa: Sommer, C., & Basagni, S. (2019). Advances and novel applications of mobile
wireless networking. Ad Hoc Networks. https://doi.org/10.1016/j.adhoc.2019.101975
bibtex: '@article{Sommer_Basagni_2019, title={Advances and novel applications of
mobile wireless networking}, DOI={10.1016/j.adhoc.2019.101975},
number={101975}, journal={Ad Hoc Networks}, author={Sommer, Christoph and Basagni,
Stefano}, year={2019} }'
chicago: Sommer, Christoph, and Stefano Basagni. “Advances and Novel Applications
of Mobile Wireless Networking.” Ad Hoc Networks, 2019. https://doi.org/10.1016/j.adhoc.2019.101975.
ieee: C. Sommer and S. Basagni, “Advances and novel applications of mobile wireless
networking,” Ad Hoc Networks, 2019.
mla: Sommer, Christoph, and Stefano Basagni. “Advances and Novel Applications of
Mobile Wireless Networking.” Ad Hoc Networks, 101975, 2019, doi:10.1016/j.adhoc.2019.101975.
short: C. Sommer, S. Basagni, Ad Hoc Networks (2019).
date_created: 2019-11-05T18:38:44Z
date_updated: 2022-01-06T06:52:06Z
department:
- _id: '589'
doi: 10.1016/j.adhoc.2019.101975
language:
- iso: eng
publication: Ad Hoc Networks
publication_identifier:
issn:
- 1570-8705
publication_status: published
status: public
title: Advances and novel applications of mobile wireless networking
type: journal_article
user_id: '49154'
year: '2019'
...
---
_id: '14819'
author:
- first_name: Julian
full_name: Heinovski, Julian
last_name: Heinovski
- first_name: Lukas
full_name: Stratmann, Lukas
last_name: Stratmann
- first_name: Dominik S.
full_name: Buse, Dominik S.
last_name: Buse
- first_name: Florian
full_name: Klingler, Florian
last_name: Klingler
- first_name: Mario
full_name: Franke, Mario
last_name: Franke
- first_name: Marie-Christin H.
full_name: Oczko, Marie-Christin H.
last_name: Oczko
- first_name: Christoph
full_name: Sommer, Christoph
id: '49154'
last_name: Sommer
orcid: 0000-0002-4336-7350
- first_name: Ingrid
full_name: Scharlau, Ingrid
last_name: Scharlau
- first_name: Falko
full_name: Dressler, Falko
last_name: Dressler
citation:
ama: 'Heinovski J, Stratmann L, Buse DS, et al. Modeling Cycling Behavior to Improve
Bicyclists’ Safety at Intersections - A Networking Perspective. In: 2019 IEEE
20th International Symposium on “A World of Wireless, Mobile and Multimedia Networks”
(WoWMoM). ; 2019. doi:10.1109/wowmom.2019.8793008'
apa: Heinovski, J., Stratmann, L., Buse, D. S., Klingler, F., Franke, M., Oczko,
M.-C. H., … Dressler, F. (2019). Modeling Cycling Behavior to Improve Bicyclists’
Safety at Intersections - A Networking Perspective. In 2019 IEEE 20th International
Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM).
https://doi.org/10.1109/wowmom.2019.8793008
bibtex: '@inproceedings{Heinovski_Stratmann_Buse_Klingler_Franke_Oczko_Sommer_Scharlau_Dressler_2019,
title={Modeling Cycling Behavior to Improve Bicyclists’ Safety at Intersections
- A Networking Perspective}, DOI={10.1109/wowmom.2019.8793008},
booktitle={2019 IEEE 20th International Symposium on “A World of Wireless, Mobile
and Multimedia Networks” (WoWMoM)}, author={Heinovski, Julian and Stratmann, Lukas
and Buse, Dominik S. and Klingler, Florian and Franke, Mario and Oczko, Marie-Christin
H. and Sommer, Christoph and Scharlau, Ingrid and Dressler, Falko}, year={2019}
}'
chicago: Heinovski, Julian, Lukas Stratmann, Dominik S. Buse, Florian Klingler,
Mario Franke, Marie-Christin H. Oczko, Christoph Sommer, Ingrid Scharlau, and
Falko Dressler. “Modeling Cycling Behavior to Improve Bicyclists’ Safety at Intersections
- A Networking Perspective.” In 2019 IEEE 20th International Symposium on “A
World of Wireless, Mobile and Multimedia Networks” (WoWMoM), 2019. https://doi.org/10.1109/wowmom.2019.8793008.
ieee: J. Heinovski et al., “Modeling Cycling Behavior to Improve Bicyclists’
Safety at Intersections - A Networking Perspective,” in 2019 IEEE 20th International
Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM),
2019.
mla: Heinovski, Julian, et al. “Modeling Cycling Behavior to Improve Bicyclists’
Safety at Intersections - A Networking Perspective.” 2019 IEEE 20th International
Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM),
2019, doi:10.1109/wowmom.2019.8793008.
short: 'J. Heinovski, L. Stratmann, D.S. Buse, F. Klingler, M. Franke, M.-C.H. Oczko,
C. Sommer, I. Scharlau, F. Dressler, in: 2019 IEEE 20th International Symposium
on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM), 2019.'
date_created: 2019-11-05T18:38:48Z
date_updated: 2022-01-06T06:52:06Z
department:
- _id: '589'
doi: 10.1109/wowmom.2019.8793008
language:
- iso: eng
publication: 2019 IEEE 20th International Symposium on "A World of Wireless, Mobile
and Multimedia Networks" (WoWMoM)
publication_identifier:
isbn:
- '9781728102702'
publication_status: published
status: public
title: Modeling Cycling Behavior to Improve Bicyclists' Safety at Intersections -
A Networking Perspective
type: conference
user_id: '49154'
year: '2019'
...
---
_id: '14829'
citation:
ama: Scheideler C, Berenbrink P, eds. The 31st ACM Symposium on Parallelism in
Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019.
ACM; 2019. doi:10.1145/3323165
apa: Scheideler, C., & Berenbrink, P. (Eds.). (2019). The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM. https://doi.org/10.1145/3323165
bibtex: '@book{Scheideler_Berenbrink_2019, title={The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019},
DOI={10.1145/3323165}, publisher={ACM},
year={2019} }'
chicago: Scheideler, Christian, and Petra Berenbrink, eds. The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM, 2019. https://doi.org/10.1145/3323165.
ieee: C. Scheideler and P. Berenbrink, Eds., The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019.
ACM, 2019.
mla: Scheideler, Christian, and Petra Berenbrink, editors. The 31st ACM Symposium
on Parallelism in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June
22-24, 2019. ACM, 2019, doi:10.1145/3323165.
short: C. Scheideler, P. Berenbrink, eds., The 31st ACM Symposium on Parallelism
in Algorithms and Architectures, SPAA 2019, Phoenix, AZ, USA, June 22-24, 2019,
ACM, 2019.
date_created: 2019-11-06T10:43:41Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '79'
doi: 10.1145/3323165
editor:
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
- first_name: Petra
full_name: Berenbrink, Petra
last_name: Berenbrink
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '2'
name: SFB 901 - Project Area A
- _id: '5'
name: SFB 901 - Subproject A1
publication_identifier:
isbn:
- 978-1-4503-6184-2
publisher: ACM
status: public
title: The 31st ACM Symposium on Parallelism in Algorithms and Architectures, SPAA
2019, Phoenix, AZ, USA, June 22-24, 2019
type: conference_editor
user_id: '477'
year: '2019'
...
---
_id: '14830'
author:
- first_name: Robert
full_name: Gmyr, Robert
last_name: Gmyr
- first_name: Jonas
full_name: Lefevre, Jonas
last_name: Lefevre
- first_name: Christian
full_name: Scheideler, Christian
id: '20792'
last_name: Scheideler
citation:
ama: Gmyr R, Lefevre J, Scheideler C. Self-Stabilizing Metric Graphs. Theory
Comput Syst. 2019;63(2):177-199. doi:10.1007/s00224-017-9823-4
apa: Gmyr, R., Lefevre, J., & Scheideler, C. (2019). Self-Stabilizing Metric
Graphs. Theory Comput. Syst., 63(2), 177–199. https://doi.org/10.1007/s00224-017-9823-4
bibtex: '@article{Gmyr_Lefevre_Scheideler_2019, title={Self-Stabilizing Metric Graphs},
volume={63}, DOI={10.1007/s00224-017-9823-4},
number={2}, journal={Theory Comput. Syst.}, author={Gmyr, Robert and Lefevre,
Jonas and Scheideler, Christian}, year={2019}, pages={177–199} }'
chicago: 'Gmyr, Robert, Jonas Lefevre, and Christian Scheideler. “Self-Stabilizing
Metric Graphs.” Theory Comput. Syst. 63, no. 2 (2019): 177–99. https://doi.org/10.1007/s00224-017-9823-4.'
ieee: R. Gmyr, J. Lefevre, and C. Scheideler, “Self-Stabilizing Metric Graphs,”
Theory Comput. Syst., vol. 63, no. 2, pp. 177–199, 2019.
mla: Gmyr, Robert, et al. “Self-Stabilizing Metric Graphs.” Theory Comput. Syst.,
vol. 63, no. 2, 2019, pp. 177–99, doi:10.1007/s00224-017-9823-4.
short: R. Gmyr, J. Lefevre, C. Scheideler, Theory Comput. Syst. 63 (2019) 177–199.
date_created: 2019-11-06T10:54:58Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '79'
doi: 10.1007/s00224-017-9823-4
intvolume: ' 63'
issue: '2'
language:
- iso: eng
page: 177-199
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '13'
name: SFB 901 - Subproject C1
publication: Theory Comput. Syst.
status: public
title: Self-Stabilizing Metric Graphs
type: journal_article
user_id: '15504'
volume: 63
year: '2019'
...
---
_id: '14831'
author:
- first_name: Nithin S.
full_name: Sabu, Nithin S.
last_name: Sabu
citation:
ama: Sabu NS. FPGA Acceleration of String Search Techniques in Huge Data Sets.
Paderborn University; 2019.
apa: Sabu, N. S. (2019). FPGA Acceleration of String Search Techniques in Huge
Data Sets. Paderborn University.
bibtex: '@book{Sabu_2019, title={FPGA Acceleration of String Search Techniques in
Huge Data Sets}, publisher={Paderborn University}, author={Sabu, Nithin S.}, year={2019}
}'
chicago: Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge
Data Sets. Paderborn University, 2019.
ieee: N. S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data
Sets. Paderborn University, 2019.
mla: Sabu, Nithin S. FPGA Acceleration of String Search Techniques in Huge Data
Sets. Paderborn University, 2019.
short: N.S. Sabu, FPGA Acceleration of String Search Techniques in Huge Data Sets,
Paderborn University, 2019.
date_created: 2019-11-06T12:06:09Z
date_updated: 2022-01-06T06:52:07Z
department:
- _id: '78'
language:
- iso: eng
publisher: Paderborn University
status: public
supervisor:
- first_name: Marco
full_name: Platzner, Marco
id: '398'
last_name: Platzner
- first_name: Stefan
full_name: Böttcher, Stefan
last_name: Böttcher
- first_name: Tobias
full_name: Wiersema, Tobias
id: '3118'
last_name: Wiersema
title: FPGA Acceleration of String Search Techniques in Huge Data Sets
type: mastersthesis
user_id: '3118'
year: '2019'
...
---
_id: '14849'
author:
- first_name: Gavin Francis
full_name: Vaz, Gavin Francis
id: '30332'
last_name: Vaz
citation:
ama: Vaz GF. Using Just-in-Time Code Generation to Transparently Accelerate Applications
in Heterogeneous Systems. Universität Paderborn; 2019.
apa: Vaz, G. F. (2019). Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems. Universität Paderborn.
bibtex: '@book{Vaz_2019, title={Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems}, publisher={Universität Paderborn},
author={Vaz, Gavin Francis}, year={2019} }'
chicago: Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
ieee: G. F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems. Universität Paderborn, 2019.
mla: Vaz, Gavin Francis. Using Just-in-Time Code Generation to Transparently
Accelerate Applications in Heterogeneous Systems. Universität Paderborn, 2019.
short: G.F. Vaz, Using Just-in-Time Code Generation to Transparently Accelerate
Applications in Heterogeneous Systems, Universität Paderborn, 2019.
date_created: 2019-11-07T14:13:54Z
date_updated: 2022-01-06T06:52:08Z
ddc:
- '040'
department:
- _id: '518'
file:
- access_level: closed
content_type: application/pdf
creator: florida
date_created: 2019-11-07T14:13:14Z
date_updated: 2019-11-07T14:13:14Z
file_id: '14850'
file_name: PhDThesis_GavinVaz_2019-07-11.pdf
file_size: 1462659
relation: main_file
success: 1
file_date_updated: 2019-11-07T14:13:14Z
has_accepted_license: '1'
language:
- iso: eng
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '14'
name: SFB 901 - Subproject C2
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Christian
full_name: Plessl, Christian
id: '16153'
last_name: Plessl
orcid: 0000-0001-5728-9982
title: Using Just-in-Time Code Generation to Transparently Accelerate Applications
in Heterogeneous Systems
type: dissertation
user_id: '477'
year: '2019'
...
---
_id: '14851'
author:
- first_name: Alexander
full_name: Mäcker, Alexander
id: '13536'
last_name: Mäcker
citation:
ama: Mäcker A. On Scheduling with Setup Times. Universität Paderborn; 2019.
doi:10.17619/UNIPB/1-828
apa: Mäcker, A. (2019). On Scheduling with Setup Times. Universität Paderborn.
https://doi.org/10.17619/UNIPB/1-828
bibtex: '@book{Mäcker_2019, place={Universität Paderborn}, title={On Scheduling
with Setup Times}, DOI={10.17619/UNIPB/1-828},
author={Mäcker, Alexander}, year={2019} }'
chicago: Mäcker, Alexander. On Scheduling with Setup Times. Universität Paderborn,
2019. https://doi.org/10.17619/UNIPB/1-828.
ieee: A. Mäcker, On Scheduling with Setup Times. Universität Paderborn, 2019.
mla: Mäcker, Alexander. On Scheduling with Setup Times. 2019, doi:10.17619/UNIPB/1-828.
short: A. Mäcker, On Scheduling with Setup Times, Universität Paderborn, 2019.
date_created: 2019-11-07T14:17:05Z
date_updated: 2022-01-06T06:52:08Z
ddc:
- '000'
department:
- _id: '63'
doi: 10.17619/UNIPB/1-828
language:
- iso: eng
place: Universität Paderborn
project:
- _id: '1'
name: SFB 901
- _id: '16'
name: SFB 901 - Subproject C4
- _id: '4'
name: SFB 901 - Project Area C
related_material:
link:
- relation: confirmation
url: https://doi.org/10.17619/UNIPB/1-828
status: public
supervisor:
- first_name: Friedhelm
full_name: Meyer auf der Heide, Friedhelm
id: '15523'
last_name: Meyer auf der Heide
title: On Scheduling with Setup Times
type: dissertation
user_id: '15415'
year: '2019'
...
---
_id: '14896'
author:
- first_name: Andreas
full_name: Dann, Andreas
last_name: Dann
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Dann A, Hermann B, Bodden E. ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules. IEEE Transactions on Software Engineering.
Published online 2019:1-1. doi:10.1109/tse.2019.2931331'
apa: 'Dann, A., Hermann, B., & Bodden, E. (2019). ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules. IEEE Transactions on Software
Engineering, 1–1. https://doi.org/10.1109/tse.2019.2931331'
bibtex: '@article{Dann_Hermann_Bodden_2019, title={ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules}, DOI={10.1109/tse.2019.2931331},
journal={IEEE Transactions on Software Engineering}, author={Dann, Andreas and
Hermann, Ben and Bodden, Eric}, year={2019}, pages={1–1} }'
chicago: 'Dann, Andreas, Ben Hermann, and Eric Bodden. “ModGuard: Identifying Integrity
&Confidentiality Violations in Java Modules.” IEEE Transactions on Software
Engineering, 2019, 1–1. https://doi.org/10.1109/tse.2019.2931331.'
ieee: 'A. Dann, B. Hermann, and E. Bodden, “ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules,” IEEE Transactions on Software Engineering,
pp. 1–1, 2019, doi: 10.1109/tse.2019.2931331.'
mla: 'Dann, Andreas, et al. “ModGuard: Identifying Integrity &Confidentiality
Violations in Java Modules.” IEEE Transactions on Software Engineering,
2019, pp. 1–1, doi:10.1109/tse.2019.2931331.'
short: A. Dann, B. Hermann, E. Bodden, IEEE Transactions on Software Engineering
(2019) 1–1.
date_created: 2019-11-12T12:20:56Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1109/tse.2019.2931331
language:
- iso: eng
page: 1-1
project:
- _id: '1'
name: SFB 901
- _id: '3'
name: SFB 901 - Project Area B
- _id: '12'
name: SFB 901 - Subproject B4
publication: IEEE Transactions on Software Engineering
publication_identifier:
issn:
- 0098-5589
- 1939-3520
- 2326-3881
publication_status: published
status: public
title: 'ModGuard: Identifying Integrity &Confidentiality Violations in Java Modules'
type: journal_article
user_id: '5786'
year: '2019'
...
---
_id: '14897'
author:
- first_name: Andreas
full_name: Dann, Andreas
last_name: Dann
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
- first_name: Eric
full_name: Bodden, Eric
id: '59256'
last_name: Bodden
orcid: 0000-0003-3470-3647
citation:
ama: 'Dann A, Hermann B, Bodden E. SootDiff: bytecode comparison across different
Java compilers. In: Proceedings of the 8th ACM SIGPLAN International Workshop
on State Of the Art in Program Analysis - SOAP 2019. ; 2019. doi:10.1145/3315568.3329966'
apa: 'Dann, A., Hermann, B., & Bodden, E. (2019). SootDiff: bytecode comparison
across different Java compilers. Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019. https://doi.org/10.1145/3315568.3329966'
bibtex: '@inproceedings{Dann_Hermann_Bodden_2019, title={SootDiff: bytecode comparison
across different Java compilers}, DOI={10.1145/3315568.3329966},
booktitle={Proceedings of the 8th ACM SIGPLAN International Workshop on State
Of the Art in Program Analysis - SOAP 2019}, author={Dann, Andreas and Hermann,
Ben and Bodden, Eric}, year={2019} }'
chicago: 'Dann, Andreas, Ben Hermann, and Eric Bodden. “SootDiff: Bytecode Comparison
across Different Java Compilers.” In Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019. https://doi.org/10.1145/3315568.3329966.'
ieee: 'A. Dann, B. Hermann, and E. Bodden, “SootDiff: bytecode comparison across
different Java compilers,” 2019, doi: 10.1145/3315568.3329966.'
mla: 'Dann, Andreas, et al. “SootDiff: Bytecode Comparison across Different Java
Compilers.” Proceedings of the 8th ACM SIGPLAN International Workshop on State
Of the Art in Program Analysis - SOAP 2019, 2019, doi:10.1145/3315568.3329966.'
short: 'A. Dann, B. Hermann, E. Bodden, in: Proceedings of the 8th ACM SIGPLAN International
Workshop on State Of the Art in Program Analysis - SOAP 2019, 2019.'
date_created: 2019-11-12T12:21:11Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1145/3315568.3329966
language:
- iso: eng
main_file_link:
- url: https://thewhitespace.de/publications/dhb19-sootdiff.pdf
publication: Proceedings of the 8th ACM SIGPLAN International Workshop on State Of
the Art in Program Analysis - SOAP 2019
publication_identifier:
isbn:
- '9781450367202'
publication_status: published
status: public
title: 'SootDiff: bytecode comparison across different Java compilers'
type: conference
user_id: '5786'
year: '2019'
...
---
_id: '14899'
author:
- first_name: Stefan
full_name: Kruger, Stefan
last_name: Kruger
- first_name: Ben
full_name: Hermann, Ben
id: '66173'
last_name: Hermann
orcid: 0000-0001-9848-2017
citation:
ama: 'Kruger S, Hermann B. Can an Online Service Predict Gender? On the State-of-the-Art
in Gender Identification from Texts. In: 2019 IEEE/ACM 2nd International Workshop
on Gender Equality in Software Engineering (GE). ; 2019. doi:10.1109/ge.2019.00012'
apa: Kruger, S., & Hermann, B. (2019). Can an Online Service Predict Gender?
On the State-of-the-Art in Gender Identification from Texts. 2019 IEEE/ACM
2nd International Workshop on Gender Equality in Software Engineering (GE).
https://doi.org/10.1109/ge.2019.00012
bibtex: '@inproceedings{Kruger_Hermann_2019, title={Can an Online Service Predict
Gender? On the State-of-the-Art in Gender Identification from Texts}, DOI={10.1109/ge.2019.00012}, booktitle={2019
IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering
(GE)}, author={Kruger, Stefan and Hermann, Ben}, year={2019} }'
chicago: Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender?
On the State-of-the-Art in Gender Identification from Texts.” In 2019 IEEE/ACM
2nd International Workshop on Gender Equality in Software Engineering (GE),
2019. https://doi.org/10.1109/ge.2019.00012.
ieee: 'S. Kruger and B. Hermann, “Can an Online Service Predict Gender? On the State-of-the-Art
in Gender Identification from Texts,” 2019, doi: 10.1109/ge.2019.00012.'
mla: Kruger, Stefan, and Ben Hermann. “Can an Online Service Predict Gender? On
the State-of-the-Art in Gender Identification from Texts.” 2019 IEEE/ACM 2nd
International Workshop on Gender Equality in Software Engineering (GE), 2019,
doi:10.1109/ge.2019.00012.
short: 'S. Kruger, B. Hermann, in: 2019 IEEE/ACM 2nd International Workshop on Gender
Equality in Software Engineering (GE), 2019.'
date_created: 2019-11-12T12:22:48Z
date_updated: 2022-01-06T06:52:10Z
department:
- _id: '76'
- _id: '34'
- _id: '26'
doi: 10.1109/ge.2019.00012
language:
- iso: eng
publication: 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software
Engineering (GE)
publication_identifier:
isbn:
- '9781728122458'
publication_status: published
status: public
title: Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification
from Texts
type: conference
user_id: '5786'
year: '2019'
...
---
_id: '15001'
author:
- first_name: Ines
full_name: Couso, Ines
last_name: Couso
- first_name: Christian
full_name: Borgelt, Christian
last_name: Borgelt
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Rudolf
full_name: Kruse, Rudolf
last_name: Kruse
citation:
ama: 'Couso I, Borgelt C, Hüllermeier E, Kruse R. Fuzzy Sets in Data Analysis: From
Statistical Foundations to Machine Learning. IEEE Computational Intelligence
Magazine. 2019:31-44. doi:10.1109/mci.2018.2881642'
apa: 'Couso, I., Borgelt, C., Hüllermeier, E., & Kruse, R. (2019). Fuzzy Sets
in Data Analysis: From Statistical Foundations to Machine Learning. IEEE Computational
Intelligence Magazine, 31–44. https://doi.org/10.1109/mci.2018.2881642'
bibtex: '@article{Couso_Borgelt_Hüllermeier_Kruse_2019, title={Fuzzy Sets in Data
Analysis: From Statistical Foundations to Machine Learning}, DOI={10.1109/mci.2018.2881642},
journal={IEEE Computational Intelligence Magazine}, author={Couso, Ines and Borgelt,
Christian and Hüllermeier, Eyke and Kruse, Rudolf}, year={2019}, pages={31–44}
}'
chicago: 'Couso, Ines, Christian Borgelt, Eyke Hüllermeier, and Rudolf Kruse. “Fuzzy
Sets in Data Analysis: From Statistical Foundations to Machine Learning.” IEEE
Computational Intelligence Magazine, 2019, 31–44. https://doi.org/10.1109/mci.2018.2881642.'
ieee: 'I. Couso, C. Borgelt, E. Hüllermeier, and R. Kruse, “Fuzzy Sets in Data Analysis:
From Statistical Foundations to Machine Learning,” IEEE Computational Intelligence
Magazine, pp. 31–44, 2019.'
mla: 'Couso, Ines, et al. “Fuzzy Sets in Data Analysis: From Statistical Foundations
to Machine Learning.” IEEE Computational Intelligence Magazine, 2019, pp.
31–44, doi:10.1109/mci.2018.2881642.'
short: I. Couso, C. Borgelt, E. Hüllermeier, R. Kruse, IEEE Computational Intelligence
Magazine (2019) 31–44.
date_created: 2019-11-15T10:11:37Z
date_updated: 2022-01-06T06:52:13Z
department:
- _id: '34'
- _id: '355'
doi: 10.1109/mci.2018.2881642
language:
- iso: eng
page: 31-44
publication: IEEE Computational Intelligence Magazine
publication_identifier:
issn:
- 1556-603X
- 1556-6048
publication_status: published
status: public
title: 'Fuzzy Sets in Data Analysis: From Statistical Foundations to Machine Learning'
type: journal_article
user_id: '315'
year: '2019'
...
---
_id: '15002'
abstract:
- lang: eng
text: Many problem settings in machine learning are concerned with the simultaneous
prediction of multiple target variables of diverse type. Amongst others, such
problem settings arise in multivariate regression, multi-label classification,
multi-task learning, dyadic prediction, zero-shot learning, network inference,
and matrix completion. These subfields of machine learning are typically studied
in isolation, without highlighting or exploring important relationships. In this
paper, we present a unifying view on what we call multi-target prediction (MTP)
problems and methods. First, we formally discuss commonalities and differences
between existing MTP problems. To this end, we introduce a general framework that
covers the above subfields as special cases. As a second contribution, we provide
a structured overview of MTP methods. This is accomplished by identifying a number
of key properties, which distinguish such methods and determine their suitability
for different types of problems. Finally, we also discuss a few challenges for
future research.
author:
- first_name: Willem
full_name: Waegeman, Willem
last_name: Waegeman
- first_name: Krzysztof
full_name: Dembczynski, Krzysztof
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Waegeman W, Dembczynski K, Hüllermeier E. Multi-target prediction: a unifying
view on problems and methods. Data Mining and Knowledge Discovery. 2019;33(2):293-324.
doi:10.1007/s10618-018-0595-5'
apa: 'Waegeman, W., Dembczynski, K., & Hüllermeier, E. (2019). Multi-target
prediction: a unifying view on problems and methods. Data Mining and Knowledge
Discovery, 33(2), 293–324. https://doi.org/10.1007/s10618-018-0595-5'
bibtex: '@article{Waegeman_Dembczynski_Hüllermeier_2019, title={Multi-target prediction:
a unifying view on problems and methods}, volume={33}, DOI={10.1007/s10618-018-0595-5},
number={2}, journal={Data Mining and Knowledge Discovery}, author={Waegeman, Willem
and Dembczynski, Krzysztof and Hüllermeier, Eyke}, year={2019}, pages={293–324}
}'
chicago: 'Waegeman, Willem, Krzysztof Dembczynski, and Eyke Hüllermeier. “Multi-Target
Prediction: A Unifying View on Problems and Methods.” Data Mining and Knowledge
Discovery 33, no. 2 (2019): 293–324. https://doi.org/10.1007/s10618-018-0595-5.'
ieee: 'W. Waegeman, K. Dembczynski, and E. Hüllermeier, “Multi-target prediction:
a unifying view on problems and methods,” Data Mining and Knowledge Discovery,
vol. 33, no. 2, pp. 293–324, 2019.'
mla: 'Waegeman, Willem, et al. “Multi-Target Prediction: A Unifying View on Problems
and Methods.” Data Mining and Knowledge Discovery, vol. 33, no. 2, 2019,
pp. 293–324, doi:10.1007/s10618-018-0595-5.'
short: W. Waegeman, K. Dembczynski, E. Hüllermeier, Data Mining and Knowledge Discovery
33 (2019) 293–324.
date_created: 2019-11-15T10:16:34Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '000'
department:
- _id: '34'
- _id: '355'
doi: 10.1007/s10618-018-0595-5
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:43:39Z
date_updated: 2020-02-28T12:45:26Z
file_id: '16155'
file_name: multi-target-prediction.pdf
file_size: 837808
relation: main_file
file_date_updated: 2020-02-28T12:45:26Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '2'
language:
- iso: eng
oa: '1'
page: 293-324
publication: Data Mining and Knowledge Discovery
publication_identifier:
issn:
- 1573-756X
status: public
title: 'Multi-target prediction: a unifying view on problems and methods'
type: journal_article
user_id: '315'
volume: 33
year: '2019'
...
---
_id: '15003'
author:
- first_name: Thomas
full_name: Mortier, Thomas
last_name: Mortier
- first_name: Marek
full_name: Wydmuch, Marek
last_name: Wydmuch
- first_name: Krzysztof
full_name: Dembczynski, Krzysztof
last_name: Dembczynski
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
- first_name: Willem
full_name: Waegeman, Willem
last_name: Waegeman
citation:
ama: 'Mortier T, Wydmuch M, Dembczynski K, Hüllermeier E, Waegeman W. Set-Valued
Prediction in Multi-Class Classification. In: Proceedings of the 31st Benelux
Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch
Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8,
2019. ; 2019.'
apa: Mortier, T., Wydmuch, M., Dembczynski, K., Hüllermeier, E., & Waegeman,
W. (2019). Set-Valued Prediction in Multi-Class Classification. In Proceedings
of the 31st Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the
28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Brussels,
Belgium, November 6-8, 2019.
bibtex: '@inproceedings{Mortier_Wydmuch_Dembczynski_Hüllermeier_Waegeman_2019, title={Set-Valued
Prediction in Multi-Class Classification}, booktitle={Proceedings of the 31st
Benelux Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian
Dutch Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November
6-8, 2019}, author={Mortier, Thomas and Wydmuch, Marek and Dembczynski, Krzysztof
and Hüllermeier, Eyke and Waegeman, Willem}, year={2019} }'
chicago: Mortier, Thomas, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier,
and Willem Waegeman. “Set-Valued Prediction in Multi-Class Classification.” In
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.
ieee: T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, and W. Waegeman, “Set-Valued
Prediction in Multi-Class Classification,” in Proceedings of the 31st Benelux
Conference on Artificial Intelligence {(BNAIC} 2019) and the 28th Belgian Dutch
Conference on Machine Learning (Benelearn 2019), Brussels, Belgium, November 6-8,
2019, 2019.
mla: Mortier, Thomas, et al. “Set-Valued Prediction in Multi-Class Classification.”
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.
short: 'T. Mortier, M. Wydmuch, K. Dembczynski, E. Hüllermeier, W. Waegeman, in:
Proceedings of the 31st Benelux Conference on Artificial Intelligence {(BNAIC}
2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019),
Brussels, Belgium, November 6-8, 2019, 2019.'
date_created: 2019-11-15T10:20:55Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
language:
- iso: eng
publication: Proceedings of the 31st Benelux Conference on Artificial Intelligence
{(BNAIC} 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn
2019), Brussels, Belgium, November 6-8, 2019
status: public
title: Set-Valued Prediction in Multi-Class Classification
type: conference
user_id: '315'
year: '2019'
...
---
_id: '15004'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
id: '59547'
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Feature Selection for Analogy-Based Learning
to Rank. In: Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_22'
apa: Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Feature Selection for Analogy-Based
Learning to Rank. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_22
bibtex: '@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Feature
Selection for Analogy-Based Learning to Rank}, DOI={10.1007/978-3-030-33778-0_22},
booktitle={Discovery Science}, author={Ahmadi Fahandar, Mohsen and Hüllermeier,
Eyke}, year={2019} }'
chicago: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based
Learning to Rank.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_22.
ieee: M. Ahmadi Fahandar and E. Hüllermeier, “Feature Selection for Analogy-Based
Learning to Rank,” in Discovery Science, Cham, 2019.
mla: Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Feature Selection for Analogy-Based
Learning to Rank.” Discovery Science, 2019, doi:10.1007/978-3-030-33778-0_22.
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: Discovery Science, Cham, 2019.'
date_created: 2019-11-15T10:24:45Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-33778-0_22
language:
- iso: eng
place: Cham
publication: Discovery Science
publication_identifier:
isbn:
- '9783030337773'
- '9783030337780'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Feature Selection for Analogy-Based Learning to Rank
type: book_chapter
user_id: '315'
year: '2019'
...
---
_id: '15005'
author:
- first_name: Mohsen
full_name: Ahmadi Fahandar, Mohsen
id: '59547'
last_name: Ahmadi Fahandar
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Ahmadi Fahandar M, Hüllermeier E. Analogy-Based Preference Learning with Kernels.
In: KI 2019: Advances in Artificial Intelligence. Cham; 2019. doi:10.1007/978-3-030-30179-8_3'
apa: 'Ahmadi Fahandar, M., & Hüllermeier, E. (2019). Analogy-Based Preference
Learning with Kernels. In KI 2019: Advances in Artificial Intelligence.
Cham. https://doi.org/10.1007/978-3-030-30179-8_3'
bibtex: '@inbook{Ahmadi Fahandar_Hüllermeier_2019, place={Cham}, title={Analogy-Based
Preference Learning with Kernels}, DOI={10.1007/978-3-030-30179-8_3},
booktitle={KI 2019: Advances in Artificial Intelligence}, author={Ahmadi Fahandar,
Mohsen and Hüllermeier, Eyke}, year={2019} }'
chicago: 'Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference
Learning with Kernels.” In KI 2019: Advances in Artificial Intelligence.
Cham, 2019. https://doi.org/10.1007/978-3-030-30179-8_3.'
ieee: 'M. Ahmadi Fahandar and E. Hüllermeier, “Analogy-Based Preference Learning
with Kernels,” in KI 2019: Advances in Artificial Intelligence, Cham, 2019.'
mla: 'Ahmadi Fahandar, Mohsen, and Eyke Hüllermeier. “Analogy-Based Preference Learning
with Kernels.” KI 2019: Advances in Artificial Intelligence, 2019, doi:10.1007/978-3-030-30179-8_3.'
short: 'M. Ahmadi Fahandar, E. Hüllermeier, in: KI 2019: Advances in Artificial
Intelligence, Cham, 2019.'
date_created: 2019-11-15T10:30:10Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-30179-8_3
language:
- iso: eng
place: Cham
publication: 'KI 2019: Advances in Artificial Intelligence'
publication_identifier:
isbn:
- '9783030301781'
- '9783030301798'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Analogy-Based Preference Learning with Kernels
type: book_chapter
user_id: '315'
year: '2019'
...
---
_id: '15006'
author:
- first_name: Vu-Linh
full_name: Nguyen, Vu-Linh
last_name: Nguyen
- first_name: Sébastien
full_name: Destercke, Sébastien
last_name: Destercke
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Nguyen V-L, Destercke S, Hüllermeier E. Epistemic Uncertainty Sampling. In:
Discovery Science. Cham; 2019. doi:10.1007/978-3-030-33778-0_7'
apa: Nguyen, V.-L., Destercke, S., & Hüllermeier, E. (2019). Epistemic Uncertainty
Sampling. In Discovery Science. Cham. https://doi.org/10.1007/978-3-030-33778-0_7
bibtex: '@inbook{Nguyen_Destercke_Hüllermeier_2019, place={Cham}, title={Epistemic
Uncertainty Sampling}, DOI={10.1007/978-3-030-33778-0_7},
booktitle={Discovery Science}, author={Nguyen, Vu-Linh and Destercke, Sébastien
and Hüllermeier, Eyke}, year={2019} }'
chicago: Nguyen, Vu-Linh, Sébastien Destercke, and Eyke Hüllermeier. “Epistemic
Uncertainty Sampling.” In Discovery Science. Cham, 2019. https://doi.org/10.1007/978-3-030-33778-0_7.
ieee: V.-L. Nguyen, S. Destercke, and E. Hüllermeier, “Epistemic Uncertainty Sampling,”
in Discovery Science, Cham, 2019.
mla: Nguyen, Vu-Linh, et al. “Epistemic Uncertainty Sampling.” Discovery Science,
2019, doi:10.1007/978-3-030-33778-0_7.
short: 'V.-L. Nguyen, S. Destercke, E. Hüllermeier, in: Discovery Science, Cham,
2019.'
date_created: 2019-11-15T10:35:08Z
date_updated: 2022-01-06T06:52:14Z
department:
- _id: '34'
- _id: '355'
doi: 10.1007/978-3-030-33778-0_7
language:
- iso: eng
place: Cham
publication: Discovery Science
publication_identifier:
isbn:
- '9783030337773'
- '9783030337780'
issn:
- 0302-9743
- 1611-3349
publication_status: published
status: public
title: Epistemic Uncertainty Sampling
type: book_chapter
user_id: '49109'
year: '2019'
...
---
_id: '15007'
author:
- first_name: Vitaly
full_name: Melnikov, Vitaly
id: '58747'
last_name: Melnikov
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Melnikov V, Hüllermeier E. Learning to Aggregate: Tackling the Aggregation/Disaggregation
Problem for OWA. In: Proceedings ACML, Asian Conference on Machine Learning
(Proceedings of Machine Learning Research, 101). ; 2019. doi:10.1016/j.jmva.2019.02.017'
apa: 'Melnikov, V., & Hüllermeier, E. (2019). Learning to Aggregate: Tackling
the Aggregation/Disaggregation Problem for OWA. In Proceedings ACML, Asian
Conference on Machine Learning (Proceedings of Machine Learning Research, 101).
https://doi.org/10.1016/j.jmva.2019.02.017'
bibtex: '@inproceedings{Melnikov_Hüllermeier_2019, title={Learning to Aggregate:
Tackling the Aggregation/Disaggregation Problem for OWA}, DOI={10.1016/j.jmva.2019.02.017},
booktitle={Proceedings ACML, Asian Conference on Machine Learning (Proceedings
of Machine Learning Research, 101)}, author={Melnikov, Vitaly and Hüllermeier,
Eyke}, year={2019} }'
chicago: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling
the Aggregation/Disaggregation Problem for OWA.” In Proceedings ACML, Asian
Conference on Machine Learning (Proceedings of Machine Learning Research, 101),
2019. https://doi.org/10.1016/j.jmva.2019.02.017.'
ieee: 'V. Melnikov and E. Hüllermeier, “Learning to Aggregate: Tackling the Aggregation/Disaggregation
Problem for OWA,” in Proceedings ACML, Asian Conference on Machine Learning
(Proceedings of Machine Learning Research, 101), 2019.'
mla: 'Melnikov, Vitaly, and Eyke Hüllermeier. “Learning to Aggregate: Tackling the
Aggregation/Disaggregation Problem for OWA.” Proceedings ACML, Asian Conference
on Machine Learning (Proceedings of Machine Learning Research, 101), 2019,
doi:10.1016/j.jmva.2019.02.017.'
short: 'V. Melnikov, E. Hüllermeier, in: Proceedings ACML, Asian Conference on Machine
Learning (Proceedings of Machine Learning Research, 101), 2019.'
date_created: 2019-11-15T10:43:26Z
date_updated: 2022-01-06T06:52:14Z
ddc:
- '000'
department:
- _id: '34'
- _id: '355'
- _id: '7'
doi: 10.1016/j.jmva.2019.02.017
file:
- access_level: open_access
content_type: application/pdf
creator: lettmann
date_created: 2020-02-28T12:47:07Z
date_updated: 2020-02-28T12:47:07Z
file_id: '16156'
file_name: learning-to-aggregate-owa.pdf
file_size: 2331320
relation: main_file
file_date_updated: 2020-02-28T12:47:07Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '10'
name: SFB 901 - Subproject B2
- _id: '3'
name: SFB 901 - Project Area B
- _id: '1'
name: SFB 901
publication: Proceedings ACML, Asian Conference on Machine Learning (Proceedings of
Machine Learning Research, 101)
publication_status: published
status: public
title: 'Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for
OWA'
type: conference
user_id: '477'
year: '2019'
...