---
_id: '10244'
author:
- first_name: Dirk
  full_name: Schäfer, Dirk
  last_name: Schäfer
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Schäfer D, Hüllermeier E. Preference-Based Meta- Learning Using Dyad Ranking:
    Recommending Algorithms in Cold-Start Situations. In: <i>In Proceedings of the
    2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML)</i>.
    ; 2015:110-111.'
  apa: 'Schäfer, D., &#38; Hüllermeier, E. (2015). Preference-Based Meta- Learning
    Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations. In <i>in
    Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm
    Selection (MetaSel@PKDD/ECML)</i> (pp. 110–111).'
  bibtex: '@inproceedings{Schäfer_Hüllermeier_2015, title={Preference-Based Meta-
    Learning Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations},
    booktitle={in Proceedings of the 2015 International Workshop on Meta-Learning
    and Algorithm Selection (MetaSel@PKDD/ECML)}, author={Schäfer, Dirk and Hüllermeier,
    Eyke}, year={2015}, pages={110–111} }'
  chicago: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning
    Using Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” In <i>In
    Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm
    Selection (MetaSel@PKDD/ECML)</i>, 110–11, 2015.'
  ieee: 'D. Schäfer and E. Hüllermeier, “Preference-Based Meta- Learning Using Dyad
    Ranking: Recommending Algorithms in Cold-Start Situations,” in <i>in Proceedings
    of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML)</i>,
    2015, pp. 110–111.'
  mla: 'Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Meta- Learning Using
    Dyad Ranking: Recommending Algorithms in Cold-Start Situations.” <i>In Proceedings
    of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML)</i>,
    2015, pp. 110–11.'
  short: 'D. Schäfer, E. Hüllermeier, in: In Proceedings of the 2015 International
    Workshop on Meta-Learning and Algorithm Selection (MetaSel@PKDD/ECML), 2015, pp.
    110–111.'
date_created: 2019-06-13T14:01:45Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 110-111
publication: in Proceedings of the 2015 International Workshop on Meta-Learning and
  Algorithm Selection (MetaSel@PKDD/ECML)
status: public
title: 'Preference-Based Meta- Learning Using Dyad Ranking: Recommending Algorithms
  in Cold-Start Situations'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10245'
author:
- first_name: S.
  full_name: Lu, S.
  last_name: Lu
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Lu S, Hüllermeier E. Locally weighted regression through data imprecisiation.
    In: <i>Proceedings 25. Workshop Computational Intelligence</i>. ; 2015:97-104.'
  apa: Lu, S., &#38; Hüllermeier, E. (2015). Locally weighted regression through data
    imprecisiation. In <i>Proceedings 25. Workshop Computational Intelligence</i>
    (pp. 97–104).
  bibtex: '@inproceedings{Lu_Hüllermeier_2015, title={Locally weighted regression
    through data imprecisiation}, booktitle={Proceedings 25. Workshop Computational
    Intelligence}, author={Lu, S. and Hüllermeier, Eyke}, year={2015}, pages={97–104}
    }'
  chicago: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data
    Imprecisiation.” In <i>Proceedings 25. Workshop Computational Intelligence</i>,
    97–104, 2015.
  ieee: S. Lu and E. Hüllermeier, “Locally weighted regression through data imprecisiation,”
    in <i>Proceedings 25. Workshop Computational Intelligence</i>, 2015, pp. 97–104.
  mla: Lu, S., and Eyke Hüllermeier. “Locally Weighted Regression through Data Imprecisiation.”
    <i>Proceedings 25. Workshop Computational Intelligence</i>, 2015, pp. 97–104.
  short: 'S. Lu, E. Hüllermeier, in: Proceedings 25. Workshop Computational Intelligence,
    2015, pp. 97–104.'
date_created: 2019-06-13T14:11:22Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 97-104
publication: Proceedings 25. Workshop Computational Intelligence
status: public
title: Locally weighted regression through data imprecisiation
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10246'
author:
- first_name: Ralph
  full_name: Ewerth, Ralph
  last_name: Ewerth
- first_name: A.
  full_name: Balz, A.
  last_name: Balz
- first_name: J.
  full_name: Gehlhaar, J.
  last_name: Gehlhaar
- first_name: K.
  full_name: Dembczynski, K.
  last_name: Dembczynski
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Ewerth R, Balz A, Gehlhaar J, Dembczynski K, Hüllermeier E. Depth estimation
    in monocular images: Quantitative versus qualitative approaches. In: <i>Proceedings
    25. Workshop Computational Intelligence</i>. ; 2015:235-240.'
  apa: 'Ewerth, R., Balz, A., Gehlhaar, J., Dembczynski, K., &#38; Hüllermeier, E.
    (2015). Depth estimation in monocular images: Quantitative versus qualitative
    approaches. In <i>Proceedings 25. Workshop Computational Intelligence</i> (pp.
    235–240).'
  bibtex: '@inproceedings{Ewerth_Balz_Gehlhaar_Dembczynski_Hüllermeier_2015, title={Depth
    estimation in monocular images: Quantitative versus qualitative approaches}, booktitle={Proceedings
    25. Workshop Computational Intelligence}, author={Ewerth, Ralph and Balz, A. and
    Gehlhaar, J. and Dembczynski, K. and Hüllermeier, Eyke}, year={2015}, pages={235–240}
    }'
  chicago: 'Ewerth, Ralph, A. Balz, J. Gehlhaar, K. Dembczynski, and Eyke Hüllermeier.
    “Depth Estimation in Monocular Images: Quantitative versus Qualitative Approaches.”
    In <i>Proceedings 25. Workshop Computational Intelligence</i>, 235–40, 2015.'
  ieee: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, and E. Hüllermeier, “Depth
    estimation in monocular images: Quantitative versus qualitative approaches,” in
    <i>Proceedings 25. Workshop Computational Intelligence</i>, 2015, pp. 235–240.'
  mla: 'Ewerth, Ralph, et al. “Depth Estimation in Monocular Images: Quantitative
    versus Qualitative Approaches.” <i>Proceedings 25. Workshop Computational Intelligence</i>,
    2015, pp. 235–40.'
  short: 'R. Ewerth, A. Balz, J. Gehlhaar, K. Dembczynski, E. Hüllermeier, in: Proceedings
    25. Workshop Computational Intelligence, 2015, pp. 235–240.'
date_created: 2019-06-13T14:20:49Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
language:
- iso: eng
page: 235-240
publication: Proceedings 25. Workshop Computational Intelligence
status: public
title: 'Depth estimation in monocular images: Quantitative versus qualitative approaches'
type: conference
user_id: '49109'
year: '2015'
...
---
_id: '10319'
author:
- first_name: W.
  full_name: Waegeman, W.
  last_name: Waegeman
- first_name: K.
  full_name: Dembczynski, K.
  last_name: Dembczynski
- first_name: A.
  full_name: Jachnik, A.
  last_name: Jachnik
- first_name: W.
  full_name: Cheng, W.
  last_name: Cheng
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: Waegeman W, Dembczynski K, Jachnik A, Cheng W, Hüllermeier E. On the Bayes-Optimality
    of F-Measure Maximizers. <i>in Journal of Machine Learning Research</i>. 2015;15:3333-3388.
  apa: Waegeman, W., Dembczynski, K., Jachnik, A., Cheng, W., &#38; Hüllermeier, E.
    (2015). On the Bayes-Optimality of F-Measure Maximizers. <i>In Journal of Machine
    Learning Research</i>, <i>15</i>, 3333–3388.
  bibtex: '@article{Waegeman_Dembczynski_Jachnik_Cheng_Hüllermeier_2015, title={On
    the Bayes-Optimality of F-Measure Maximizers}, volume={15}, journal={in Journal
    of Machine Learning Research}, author={Waegeman, W. and Dembczynski, K. and Jachnik,
    A. and Cheng, W. and Hüllermeier, Eyke}, year={2015}, pages={3333–3388} }'
  chicago: 'Waegeman, W., K. Dembczynski, A. Jachnik, W. Cheng, and Eyke Hüllermeier.
    “On the Bayes-Optimality of F-Measure Maximizers.” <i>In Journal of Machine Learning
    Research</i> 15 (2015): 3333–88.'
  ieee: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, and E. Hüllermeier, “On
    the Bayes-Optimality of F-Measure Maximizers,” <i>in Journal of Machine Learning
    Research</i>, vol. 15, pp. 3333–3388, 2015.
  mla: Waegeman, W., et al. “On the Bayes-Optimality of F-Measure Maximizers.” <i>In
    Journal of Machine Learning Research</i>, vol. 15, 2015, pp. 3333–88.
  short: W. Waegeman, K. Dembczynski, A. Jachnik, W. Cheng, E. Hüllermeier, In Journal
    of Machine Learning Research 15 (2015) 3333–3388.
date_created: 2019-06-26T13:04:35Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '        15'
language:
- iso: eng
page: 3333-3388
publication: in Journal of Machine Learning Research
status: public
title: On the Bayes-Optimality of F-Measure Maximizers
type: journal_article
user_id: '49109'
volume: 15
year: '2015'
...
---
_id: '10320'
author:
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: Hüllermeier E. Does machine learning need fuzzy logic? <i>Fuzzy Sets and Systems</i>.
    2015;281:292-299.
  apa: Hüllermeier, E. (2015). Does machine learning need fuzzy logic? <i>Fuzzy Sets
    and Systems</i>, <i>281</i>, 292–299.
  bibtex: '@article{Hüllermeier_2015, title={Does machine learning need fuzzy logic?},
    volume={281}, journal={Fuzzy Sets and Systems}, author={Hüllermeier, Eyke}, year={2015},
    pages={292–299} }'
  chicago: 'Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” <i>Fuzzy
    Sets and Systems</i> 281 (2015): 292–99.'
  ieee: E. Hüllermeier, “Does machine learning need fuzzy logic?,” <i>Fuzzy Sets and
    Systems</i>, vol. 281, pp. 292–299, 2015.
  mla: Hüllermeier, Eyke. “Does Machine Learning Need Fuzzy Logic?” <i>Fuzzy Sets
    and Systems</i>, vol. 281, 2015, pp. 292–99.
  short: E. Hüllermeier, Fuzzy Sets and Systems 281 (2015) 292–299.
date_created: 2019-06-26T13:07:00Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '       281'
language:
- iso: eng
page: 292-299
publication: Fuzzy Sets and Systems
status: public
title: Does machine learning need fuzzy logic?
type: journal_article
user_id: '49109'
volume: 281
year: '2015'
...
---
_id: '10321'
author:
- first_name: Ammar
  full_name: Shaker, Ammar
  last_name: Shaker
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: 'Shaker A, Hüllermeier E. Recovery analysis for adaptive learning from non-stationary
    data streams: Experimental design and case study. <i>Neurocomputing</i>. 2015;150:250-264.'
  apa: 'Shaker, A., &#38; Hüllermeier, E. (2015). Recovery analysis for adaptive learning
    from non-stationary data streams: Experimental design and case study. <i>Neurocomputing</i>,
    <i>150</i>, 250–264.'
  bibtex: '@article{Shaker_Hüllermeier_2015, title={Recovery analysis for adaptive
    learning from non-stationary data streams: Experimental design and case study},
    volume={150}, journal={Neurocomputing}, author={Shaker, Ammar and Hüllermeier,
    Eyke}, year={2015}, pages={250–264} }'
  chicago: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
    from Non-Stationary Data Streams: Experimental Design and Case Study.” <i>Neurocomputing</i>
    150 (2015): 250–64.'
  ieee: 'A. Shaker and E. Hüllermeier, “Recovery analysis for adaptive learning from
    non-stationary data streams: Experimental design and case study,” <i>Neurocomputing</i>,
    vol. 150, pp. 250–264, 2015.'
  mla: 'Shaker, Ammar, and Eyke Hüllermeier. “Recovery Analysis for Adaptive Learning
    from Non-Stationary Data Streams: Experimental Design and Case Study.” <i>Neurocomputing</i>,
    vol. 150, 2015, pp. 250–64.'
  short: A. Shaker, E. Hüllermeier, Neurocomputing 150 (2015) 250–264.
date_created: 2019-06-26T13:09:44Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '       150'
language:
- iso: eng
page: 250-264
publication: Neurocomputing
status: public
title: 'Recovery analysis for adaptive learning from non-stationary data streams:
  Experimental design and case study'
type: journal_article
user_id: '49109'
volume: 150
year: '2015'
...
---
_id: '10322'
author:
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: Hüllermeier E. From Knowledge-based to Data-driven fuzzy modeling-Development,
    criticism and alternative directions. <i>Informatik Spektrum</i>. 2015;38(6):500-509.
  apa: Hüllermeier, E. (2015). From Knowledge-based to Data-driven fuzzy modeling-Development,
    criticism and alternative directions. <i>Informatik Spektrum</i>, <i>38</i>(6),
    500–509.
  bibtex: '@article{Hüllermeier_2015, title={From Knowledge-based to Data-driven fuzzy
    modeling-Development, criticism and alternative directions}, volume={38}, number={6},
    journal={Informatik Spektrum}, author={Hüllermeier, Eyke}, year={2015}, pages={500–509}
    }'
  chicago: 'Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
    Criticism and Alternative Directions.” <i>Informatik Spektrum</i> 38, no. 6 (2015):
    500–509.'
  ieee: E. Hüllermeier, “From Knowledge-based to Data-driven fuzzy modeling-Development,
    criticism and alternative directions,” <i>Informatik Spektrum</i>, vol. 38, no.
    6, pp. 500–509, 2015.
  mla: Hüllermeier, Eyke. “From Knowledge-Based to Data-Driven Fuzzy Modeling-Development,
    Criticism and Alternative Directions.” <i>Informatik Spektrum</i>, vol. 38, no.
    6, 2015, pp. 500–09.
  short: E. Hüllermeier, Informatik Spektrum 38 (2015) 500–509.
date_created: 2019-06-26T13:12:59Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '        38'
issue: '6'
language:
- iso: eng
page: 500-509
publication: Informatik Spektrum
status: public
title: From Knowledge-based to Data-driven fuzzy modeling-Development, criticism and
  alternative directions
type: journal_article
user_id: '49109'
volume: 38
year: '2015'
...
---
_id: '10323'
author:
- first_name: S.
  full_name: Garcia-Jimenez, S.
  last_name: Garcia-Jimenez
- first_name: U.
  full_name: Bustince, U.
  last_name: Bustince
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: R.
  full_name: Mesiar, R.
  last_name: Mesiar
- first_name: N.R.
  full_name: Pal, N.R.
  last_name: Pal
- first_name: A.
  full_name: Pradera, A.
  last_name: Pradera
citation:
  ama: 'Garcia-Jimenez S, Bustince U, Hüllermeier E, Mesiar R, Pal NR, Pradera A.
    Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems.
    <i>IEEE Transactions on Fuzzy Systems</i>. 2015;23(4):1259-1273.'
  apa: 'Garcia-Jimenez, S., Bustince, U., Hüllermeier, E., Mesiar, R., Pal, N. R.,
    &#38; Pradera, A. (2015). Overlap Indices: Construction of and Application of
    Interpolative Fuzzy Systems. <i>IEEE Transactions on Fuzzy Systems</i>, <i>23</i>(4),
    1259–1273.'
  bibtex: '@article{Garcia-Jimenez_Bustince_Hüllermeier_Mesiar_Pal_Pradera_2015, title={Overlap
    Indices: Construction of and Application of Interpolative Fuzzy Systems}, volume={23},
    number={4}, journal={IEEE Transactions on Fuzzy Systems}, author={Garcia-Jimenez,
    S. and Bustince, U. and Hüllermeier, Eyke and Mesiar, R. and Pal, N.R. and Pradera,
    A.}, year={2015}, pages={1259–1273} }'
  chicago: 'Garcia-Jimenez, S., U. Bustince, Eyke Hüllermeier, R. Mesiar, N.R. Pal,
    and A. Pradera. “Overlap Indices: Construction of and Application of Interpolative
    Fuzzy Systems.” <i>IEEE Transactions on Fuzzy Systems</i> 23, no. 4 (2015): 1259–73.'
  ieee: 'S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N. R. Pal, and
    A. Pradera, “Overlap Indices: Construction of and Application of Interpolative
    Fuzzy Systems,” <i>IEEE Transactions on Fuzzy Systems</i>, vol. 23, no. 4, pp.
    1259–1273, 2015.'
  mla: 'Garcia-Jimenez, S., et al. “Overlap Indices: Construction of and Application
    of Interpolative Fuzzy Systems.” <i>IEEE Transactions on Fuzzy Systems</i>, vol.
    23, no. 4, 2015, pp. 1259–73.'
  short: S. Garcia-Jimenez, U. Bustince, E. Hüllermeier, R. Mesiar, N.R. Pal, A. Pradera,
    IEEE Transactions on Fuzzy Systems 23 (2015) 1259–1273.
date_created: 2019-06-26T13:17:46Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '        23'
issue: '4'
language:
- iso: eng
page: 1259-1273
publication: IEEE Transactions on Fuzzy Systems
status: public
title: 'Overlap Indices: Construction of and Application of Interpolative Fuzzy Systems'
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '10324'
author:
- first_name: Robin
  full_name: Senge, Robin
  last_name: Senge
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
citation:
  ama: Senge R, Hüllermeier E. Fast Fuzzy Pattern Tree Learning of Classification.
    <i>IEEE Transactions on Fuzzy Systems</i>. 2015;23(6):2024-2033.
  apa: Senge, R., &#38; Hüllermeier, E. (2015). Fast Fuzzy Pattern Tree Learning of
    Classification. <i>IEEE Transactions on Fuzzy Systems</i>, <i>23</i>(6), 2024–2033.
  bibtex: '@article{Senge_Hüllermeier_2015, title={Fast Fuzzy Pattern Tree Learning
    of Classification}, volume={23}, number={6}, journal={IEEE Transactions on Fuzzy
    Systems}, author={Senge, Robin and Hüllermeier, Eyke}, year={2015}, pages={2024–2033}
    }'
  chicago: 'Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning
    of Classification.” <i>IEEE Transactions on Fuzzy Systems</i> 23, no. 6 (2015):
    2024–33.'
  ieee: R. Senge and E. Hüllermeier, “Fast Fuzzy Pattern Tree Learning of Classification,”
    <i>IEEE Transactions on Fuzzy Systems</i>, vol. 23, no. 6, pp. 2024–2033, 2015.
  mla: Senge, Robin, and Eyke Hüllermeier. “Fast Fuzzy Pattern Tree Learning of Classification.”
    <i>IEEE Transactions on Fuzzy Systems</i>, vol. 23, no. 6, 2015, pp. 2024–33.
  short: R. Senge, E. Hüllermeier, IEEE Transactions on Fuzzy Systems 23 (2015) 2024–2033.
date_created: 2019-06-26T13:20:43Z
date_updated: 2022-01-06T06:50:36Z
department:
- _id: '34'
- _id: '7'
- _id: '355'
intvolume: '        23'
issue: '6'
language:
- iso: eng
page: 2024-2033
publication: IEEE Transactions on Fuzzy Systems
status: public
title: Fast Fuzzy Pattern Tree Learning of Classification
type: journal_article
user_id: '49109'
volume: 23
year: '2015'
...
---
_id: '14876'
author:
- first_name: Mei-Hua
  full_name: Chen, Mei-Hua
  last_name: Chen
- first_name: Wei-Fan
  full_name: Chen, Wei-Fan
  id: '82920'
  last_name: Chen
- first_name: Lun-Wei
  full_name: Ku, Lun-Wei
  last_name: Ku
citation:
  ama: 'Chen M-H, Chen W-F, Ku L-W. Technology Enhanced Emotion Expression Learning.
    In: <i>Proceedings of the Sixth Joint Foreign Language Education and Technology
    Conference (FLEAT VI)</i>. ; 2015.'
  apa: Chen, M.-H., Chen, W.-F., &#38; Ku, L.-W. (2015). Technology Enhanced Emotion
    Expression Learning. <i>Proceedings of the Sixth Joint Foreign Language Education
    and Technology Conference (FLEAT VI)</i>.
  bibtex: '@inproceedings{Chen_Chen_Ku_2015, title={Technology Enhanced Emotion Expression
    Learning}, booktitle={Proceedings of the sixth joint Foreign Language Education
    and Technology Conference (FLEAT VI)}, author={Chen, Mei-Hua and Chen, Wei-Fan
    and Ku, Lun-Wei}, year={2015} }'
  chicago: Chen, Mei-Hua, Wei-Fan Chen, and Lun-Wei Ku. “Technology Enhanced Emotion
    Expression Learning.” In <i>Proceedings of the Sixth Joint Foreign Language Education
    and Technology Conference (FLEAT VI)</i>, 2015.
  ieee: M.-H. Chen, W.-F. Chen, and L.-W. Ku, “Technology Enhanced Emotion Expression
    Learning,” 2015.
  mla: Chen, Mei-Hua, et al. “Technology Enhanced Emotion Expression Learning.” <i>Proceedings
    of the Sixth Joint Foreign Language Education and Technology Conference (FLEAT
    VI)</i>, 2015.
  short: 'M.-H. Chen, W.-F. Chen, L.-W. Ku, in: Proceedings of the Sixth Joint Foreign
    Language Education and Technology Conference (FLEAT VI), 2015.'
date_created: 2019-11-11T12:23:45Z
date_updated: 2022-11-10T09:17:00Z
department:
- _id: '600'
extern: '1'
language:
- iso: eng
publication: Proceedings of the sixth joint Foreign Language Education and Technology
  Conference (FLEAT VI)
status: public
title: Technology Enhanced Emotion Expression Learning
type: conference
user_id: '82920'
year: '2015'
...
---
_id: '6719'
author:
- first_name: Stefan
  full_name: Heindorf, Stefan
  id: '11871'
  last_name: Heindorf
  orcid: 0000-0002-4525-6865
- first_name: Martin
  full_name: Potthast, Martin
  last_name: Potthast
- first_name: Benno
  full_name: Stein, Benno
  last_name: Stein
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Heindorf S, Potthast M, Stein B, Engels G. Towards Vandalism Detection in
    Knowledge Bases. In: <i>SIGIR</i>. ACM; 2015:831-834. doi:<a href="https://doi.org/10.1145/2766462.2767804">10.1145/2766462.2767804</a>'
  apa: Heindorf, S., Potthast, M., Stein, B., &#38; Engels, G. (2015). Towards Vandalism
    Detection in Knowledge Bases. <i>SIGIR</i>, 831–834. <a href="https://doi.org/10.1145/2766462.2767804">https://doi.org/10.1145/2766462.2767804</a>
  bibtex: '@inproceedings{Heindorf_Potthast_Stein_Engels_2015, title={Towards Vandalism
    Detection in Knowledge Bases}, DOI={<a href="https://doi.org/10.1145/2766462.2767804">10.1145/2766462.2767804</a>},
    booktitle={SIGIR}, publisher={ACM}, author={Heindorf, Stefan and Potthast, Martin
    and Stein, Benno and Engels, Gregor}, year={2015}, pages={831–834} }'
  chicago: Heindorf, Stefan, Martin Potthast, Benno Stein, and Gregor Engels. “Towards
    Vandalism Detection in Knowledge Bases.” In <i>SIGIR</i>, 831–34. ACM, 2015. <a
    href="https://doi.org/10.1145/2766462.2767804">https://doi.org/10.1145/2766462.2767804</a>.
  ieee: 'S. Heindorf, M. Potthast, B. Stein, and G. Engels, “Towards Vandalism Detection
    in Knowledge Bases,” in <i>SIGIR</i>, 2015, pp. 831–834, doi: <a href="https://doi.org/10.1145/2766462.2767804">10.1145/2766462.2767804</a>.'
  mla: Heindorf, Stefan, et al. “Towards Vandalism Detection in Knowledge Bases.”
    <i>SIGIR</i>, ACM, 2015, pp. 831–34, doi:<a href="https://doi.org/10.1145/2766462.2767804">10.1145/2766462.2767804</a>.
  short: 'S. Heindorf, M. Potthast, B. Stein, G. Engels, in: SIGIR, ACM, 2015, pp.
    831–834.'
date_created: 2019-01-15T08:45:08Z
date_updated: 2022-10-17T15:07:08Z
ddc:
- '000'
department:
- _id: '66'
doi: 10.1145/2766462.2767804
file:
- access_level: closed
  content_type: application/pdf
  creator: heindorf
  date_created: 2019-04-27T06:06:08Z
  date_updated: 2019-04-27T06:06:08Z
  file_id: '9517'
  file_name: heindorf2015_SIGIR.pdf
  file_size: 322456
  relation: main_file
  success: 1
file_date_updated: 2019-04-27T06:06:08Z
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://groups.uni-paderborn.de/fg-engels/publications_pdfs/Konferenzbeitraege/heindorf2015_SIGIR.pdf
oa: '1'
page: 831-834
publication: SIGIR
publication_identifier:
  isbn:
  - '9781450336215'
publication_status: published
publisher: ACM
status: public
title: Towards Vandalism Detection in Knowledge Bases
type: conference
user_id: '11871'
year: '2015'
...
---
_id: '46373'
abstract:
- lang: eng
  text: The need for automatic methods of topic discovery in the Internet grows exponentially
    with the amount of available textual information. Nowadays it becomes impossible
    to manually read even a small part of the information in order to reveal the underlying
    topics. Social media provide us with a great pool of user generated content, where
    topic discovery may be extremely useful for businesses, politicians, researchers,
    and other stakeholders. However, conventional topic discovery methods, which are
    widely used in large text corpora, face several challenges when they are applied
    in social media and particularly in Twitter – the most popular microblogging platform.
    To the best of our knowledge no comprehensive overview of these challenges and
    of the methods dedicated to address these challenges does exist in IS literature
    until now. Therefore, this paper provides an overview of these challenges, matching
    methods and their expected usefulness for social media analytics.
author:
- first_name: Andrey
  full_name: Chinnov, Andrey
  last_name: Chinnov
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Christian
  full_name: Meske, Christian
  last_name: Meske
- first_name: Stefan
  full_name: Stieglitz, Stefan
  last_name: Stieglitz
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Chinnov A, Kerschke P, Meske C, Stieglitz S, Trautmann H. An Overview of Topic
    Discovery in Twitter Communication through Social Media Analytics. In: <i>Proceedings
    of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15)</i>. ; 2015:1–10.'
  apa: Chinnov, A., Kerschke, P., Meske, C., Stieglitz, S., &#38; Trautmann, H. (2015).
    An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.
    <i>Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
    ’15)</i>, 1–10.
  bibtex: '@inproceedings{Chinnov_Kerschke_Meske_Stieglitz_Trautmann_2015, place={Puerto
    Rico}, title={An Overview of Topic Discovery in Twitter Communication through
    Social Media Analytics}, booktitle={Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)}, author={Chinnov, Andrey and Kerschke, Pascal
    and Meske, Christian and Stieglitz, Stefan and Trautmann, Heike}, year={2015},
    pages={1–10} }'
  chicago: Chinnov, Andrey, Pascal Kerschke, Christian Meske, Stefan Stieglitz, and
    Heike Trautmann. “An Overview of Topic Discovery in Twitter Communication through
    Social Media Analytics.” In <i>Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)</i>, 1–10. Puerto Rico, 2015.
  ieee: A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. Trautmann, “An Overview
    of Topic Discovery in Twitter Communication through Social Media Analytics,” in
    <i>Proceedings of the 20$^th$ Americas Conference on Information Systems (AMCIS
    ’15)</i>, 2015, pp. 1–10.
  mla: Chinnov, Andrey, et al. “An Overview of Topic Discovery in Twitter Communication
    through Social Media Analytics.” <i>Proceedings of the 20$^th$ Americas Conference
    on Information Systems (AMCIS ’15)</i>, 2015, pp. 1–10.
  short: 'A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, H. Trautmann, in: Proceedings
    of the 20$^th$ Americas Conference on Information Systems (AMCIS ’15), Puerto
    Rico, 2015, pp. 1–10.'
date_created: 2023-08-04T15:20:52Z
date_updated: 2023-10-16T13:41:00Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
page: 1–10
place: Puerto Rico
publication: Proceedings of the 20$^th$ Americas Conference on Information Systems
  (AMCIS ’15)
publication_identifier:
  isbn:
  - 978-0-9966831-0-4
status: public
title: An Overview of Topic Discovery in Twitter Communication through Social Media
  Analytics
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46375'
abstract:
- lang: eng
  text: In single-objective optimization different optimization strategies exist depending
    on the structure and characteristics of the underlying problem. In particular,
    the presence of so-called funnels in multimodal problems offers the possibility
    of applying techniques exploiting the global structure of the function. The recently
    proposed Exploratory Landscape Analysis approach automatically identifies problem
    characteristics based on a moderately small initial sample of the objective function
    and proved to be effective for algorithm selection problems in continuous black-box
    optimization. In this paper, specific features for detecting funnel structures
    are introduced and combined with the existing ones in order to classify optimization
    problems regarding the funnel property. The effectiveness of the approach is shown
    by experiments on specifically generated test instances and validation experiments
    on standard benchmark problems.
author:
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Mike
  full_name: Preuss, Mike
  last_name: Preuss
- first_name: Simon
  full_name: Wessing, Simon
  last_name: Wessing
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Kerschke P, Preuss M, Wessing S, Trautmann H. Detecting Funnel Structures
    by Means of Exploratory Landscape Analysis. In: Silva S, ed. <i>Proceedings of
    the Genetic and Evolutionary Computation Conference (GECCO ’15)</i>. ACM; 2015:265–272.
    doi:<a href="https://doi.org/10.1145/2739480.2754642">10.1145/2739480.2754642</a>'
  apa: Kerschke, P., Preuss, M., Wessing, S., &#38; Trautmann, H. (2015). Detecting
    Funnel Structures by Means of Exploratory Landscape Analysis. In S. Silva (Ed.),
    <i>Proceedings of the Genetic and Evolutionary Computation Conference (GECCO ’15)</i>
    (pp. 265–272). ACM. <a href="https://doi.org/10.1145/2739480.2754642">https://doi.org/10.1145/2739480.2754642</a>
  bibtex: '@inproceedings{Kerschke_Preuss_Wessing_Trautmann_2015, place={New York,
    NY, USA}, title={Detecting Funnel Structures by Means of Exploratory Landscape
    Analysis}, DOI={<a href="https://doi.org/10.1145/2739480.2754642">10.1145/2739480.2754642</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
    (GECCO ’15)}, publisher={ACM}, author={Kerschke, Pascal and Preuss, Mike and Wessing,
    Simon and Trautmann, Heike}, editor={Silva, Sara}, year={2015}, pages={265–272}
    }'
  chicago: 'Kerschke, Pascal, Mike Preuss, Simon Wessing, and Heike Trautmann. “Detecting
    Funnel Structures by Means of Exploratory Landscape Analysis.” In <i>Proceedings
    of the Genetic and Evolutionary Computation Conference (GECCO ’15)</i>, edited
    by Sara Silva, 265–272. New York, NY, USA: ACM, 2015. <a href="https://doi.org/10.1145/2739480.2754642">https://doi.org/10.1145/2739480.2754642</a>.'
  ieee: 'P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann, “Detecting Funnel Structures
    by Means of Exploratory Landscape Analysis,” in <i>Proceedings of the Genetic
    and Evolutionary Computation Conference (GECCO ’15)</i>, 2015, pp. 265–272, doi:
    <a href="https://doi.org/10.1145/2739480.2754642">10.1145/2739480.2754642</a>.'
  mla: Kerschke, Pascal, et al. “Detecting Funnel Structures by Means of Exploratory
    Landscape Analysis.” <i>Proceedings of the Genetic and Evolutionary Computation
    Conference (GECCO ’15)</i>, edited by Sara Silva, ACM, 2015, pp. 265–272, doi:<a
    href="https://doi.org/10.1145/2739480.2754642">10.1145/2739480.2754642</a>.
  short: 'P. Kerschke, M. Preuss, S. Wessing, H. Trautmann, in: S. Silva (Ed.), Proceedings
    of the Genetic and Evolutionary Computation Conference (GECCO ’15), ACM, New York,
    NY, USA, 2015, pp. 265–272.'
date_created: 2023-08-04T15:22:39Z
date_updated: 2023-10-16T13:41:38Z
department:
- _id: '34'
- _id: '819'
doi: 10.1145/2739480.2754642
editor:
- first_name: Sara
  full_name: Silva, Sara
  last_name: Silva
language:
- iso: eng
page: 265–272
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO
  ’15)
publication_identifier:
  isbn:
  - 978-1-4503-3472-3
publisher: ACM
status: public
title: Detecting Funnel Structures by Means of Exploratory Landscape Analysis
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46376'
abstract:
- lang: eng
  text: We investigate per-instance algorithm selection techniques for solving the
    Travelling Salesman Problem (TSP), based on the two state-of-the-art inexact TSP
    solvers, LKH and EAX. Our comprehensive experiments demonstrate that the solvers
    exhibit complementary performance across a diverse set of instances, and the potential
    for improving the state of the art by selecting between them is significant. Using
    TSP features from the literature as well as a set of novel features, we show that
    we can capitalise on this potential by building an efficient selector that achieves
    significant performance improvements in practice. Our selectors represent a significant
    improvement in the state-of-the-art in inexact TSP solving, and hence in the ability
    to find optimal solutions (without proof of optimality) for challenging TSP instances
    in practice.
author:
- first_name: Lars
  full_name: Kotthoff, Lars
  last_name: Kotthoff
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Holger
  full_name: Hoos, Holger
  last_name: Hoos
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Kotthoff L, Kerschke P, Hoos H, Trautmann H. Improving the State of the Art
    in Inexact TSP Solving Using Per-Instance Algorithm Selection. In: Dhaenens C,
    Jourdan L, Marmion M-E, eds. <i>Learning and Intelligent Optimization</i>. Springer
    International Publishing; 2015:202–217.'
  apa: Kotthoff, L., Kerschke, P., Hoos, H., &#38; Trautmann, H. (2015). Improving
    the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.
    In C. Dhaenens, L. Jourdan, &#38; M.-E. Marmion (Eds.), <i>Learning and Intelligent
    Optimization</i> (pp. 202–217). Springer International Publishing.
  bibtex: '@inproceedings{Kotthoff_Kerschke_Hoos_Trautmann_2015, place={Cham}, title={Improving
    the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection},
    booktitle={Learning and Intelligent Optimization}, publisher={Springer International
    Publishing}, author={Kotthoff, Lars and Kerschke, Pascal and Hoos, Holger and
    Trautmann, Heike}, editor={Dhaenens, Clarisse and Jourdan, Laetitia and Marmion,
    Marie-Eléonore}, year={2015}, pages={202–217} }'
  chicago: 'Kotthoff, Lars, Pascal Kerschke, Holger Hoos, and Heike Trautmann. “Improving
    the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.”
    In <i>Learning and Intelligent Optimization</i>, edited by Clarisse Dhaenens,
    Laetitia Jourdan, and Marie-Eléonore Marmion, 202–217. Cham: Springer International
    Publishing, 2015.'
  ieee: L. Kotthoff, P. Kerschke, H. Hoos, and H. Trautmann, “Improving the State
    of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection,” in
    <i>Learning and Intelligent Optimization</i>, 2015, pp. 202–217.
  mla: Kotthoff, Lars, et al. “Improving the State of the Art in Inexact TSP Solving
    Using Per-Instance Algorithm Selection.” <i>Learning and Intelligent Optimization</i>,
    edited by Clarisse Dhaenens et al., Springer International Publishing, 2015, pp.
    202–217.
  short: 'L. Kotthoff, P. Kerschke, H. Hoos, H. Trautmann, in: C. Dhaenens, L. Jourdan,
    M.-E. Marmion (Eds.), Learning and Intelligent Optimization, Springer International
    Publishing, Cham, 2015, pp. 202–217.'
date_created: 2023-08-04T15:24:20Z
date_updated: 2023-10-16T13:41:54Z
department:
- _id: '34'
- _id: '819'
editor:
- first_name: Clarisse
  full_name: Dhaenens, Clarisse
  last_name: Dhaenens
- first_name: Laetitia
  full_name: Jourdan, Laetitia
  last_name: Jourdan
- first_name: Marie-Eléonore
  full_name: Marmion, Marie-Eléonore
  last_name: Marmion
language:
- iso: eng
page: 202–217
place: Cham
publication: Learning and Intelligent Optimization
publication_identifier:
  isbn:
  - 978-3-319-19084-6
publisher: Springer International Publishing
status: public
title: Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm
  Selection
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46379'
abstract:
- lang: eng
  text: In multiobjective optimization, set-based performance indicators are commonly
    used to assess the quality of a Pareto front approximation. Based on the scalarization
    obtained by these indicators, a performance comparison of multiobjective optimization
    algorithms becomes possible. The R2 and the Hypervolume (HV) indicator represent
    two recommended approaches which have shown a correlated behavior in recent empirical
    studies. Whereas the HV indicator has been comprehensively analyzed in the last
    years, almost no studies on the R2 indicator exist. In this extended version of
    our previous conference paper, we thus perform a comprehensive investigation of
    the properties of the R2 indicator in a theoretical and empirical way. The influence
    of the number and distribution of the weight vectors on the optimal distribution
    of µ solutions is analyzed. Based on a comparative analysis, specific characteristics
    and differences of the R2 and HV indicator are presented. Furthermore, the R2
    indicator is integrated into an indicator-based steady-state evolutionary multiobjective
    optimization algorithm (EMOA). It is shown that the so-called R2-EMOA can accurately
    approximate the optimal distribution of µ solutions regarding R2.
author:
- first_name: D
  full_name: Brockhoff, D
  last_name: Brockhoff
- first_name: T
  full_name: Wagner, T
  last_name: Wagner
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: Brockhoff D, Wagner T, Trautmann H. R2 Indicator Based Multiobjective Search.
    <i>Evolutionary Computation Journal</i>. 2015;23(3):369–395. doi:<a href="https://doi.org/10.1162/EVCO_a_00135">10.1162/EVCO_a_00135</a>
  apa: Brockhoff, D., Wagner, T., &#38; Trautmann, H. (2015). R2 Indicator Based Multiobjective
    Search. <i>Evolutionary Computation Journal</i>, <i>23</i>(3), 369–395. <a href="https://doi.org/10.1162/EVCO_a_00135">https://doi.org/10.1162/EVCO_a_00135</a>
  bibtex: '@article{Brockhoff_Wagner_Trautmann_2015, title={R2 Indicator Based Multiobjective
    Search}, volume={23}, DOI={<a href="https://doi.org/10.1162/EVCO_a_00135">10.1162/EVCO_a_00135</a>},
    number={3}, journal={Evolutionary Computation Journal}, author={Brockhoff, D and
    Wagner, T and Trautmann, Heike}, year={2015}, pages={369–395} }'
  chicago: 'Brockhoff, D, T Wagner, and Heike Trautmann. “R2 Indicator Based Multiobjective
    Search.” <i>Evolutionary Computation Journal</i> 23, no. 3 (2015): 369–395. <a
    href="https://doi.org/10.1162/EVCO_a_00135">https://doi.org/10.1162/EVCO_a_00135</a>.'
  ieee: 'D. Brockhoff, T. Wagner, and H. Trautmann, “R2 Indicator Based Multiobjective
    Search,” <i>Evolutionary Computation Journal</i>, vol. 23, no. 3, pp. 369–395,
    2015, doi: <a href="https://doi.org/10.1162/EVCO_a_00135">10.1162/EVCO_a_00135</a>.'
  mla: Brockhoff, D., et al. “R2 Indicator Based Multiobjective Search.” <i>Evolutionary
    Computation Journal</i>, vol. 23, no. 3, 2015, pp. 369–395, doi:<a href="https://doi.org/10.1162/EVCO_a_00135">10.1162/EVCO_a_00135</a>.
  short: D. Brockhoff, T. Wagner, H. Trautmann, Evolutionary Computation Journal 23
    (2015) 369–395.
date_created: 2023-08-04T15:28:25Z
date_updated: 2023-10-16T13:42:47Z
department:
- _id: '34'
- _id: '819'
doi: 10.1162/EVCO_a_00135
intvolume: '        23'
issue: '3'
language:
- iso: eng
page: 369–395
publication: Evolutionary Computation Journal
status: public
title: R2 Indicator Based Multiobjective Search
type: journal_article
user_id: '15504'
volume: 23
year: '2015'
...
---
_id: '46374'
abstract:
- lang: eng
  text: "We consider a routing problem for a single vehicle serving customer Locations
    in the course of time. A subset of these customers must necessarily be served,
    while the complement of this subset contains dynamic customers which request for
    service over time, and which do not necessarily need to be served. The decision
    maker’s conflicting goals are serving as many customers as possible as well as
    minimizing total travel distance. We solve this bi-objective Problem with an evolutionary
    multi-objective algorithm in order to provide an a-posteriori evaluation tool
    for enabling decision makers to assess the single objective solution strategies
    that they actually use in real-time. We present the modifications to be applied
    to the evolutionary multi-objective algorithm NSGA2 in order to solve the routing
    problem, we describe a number of real-time single-objective solution strategies,
    and we finally use the gained efficient trade-off solutions of NSGA2 to exemplarily
    evaluate the real-time strategies. Our results show that the evolutionary multi-objective
    approach is well-suited to generate benchmarks for assessing dynamic heuristic
    strategies. Our findings point into future directions for designing dynamic multi-objective
    approaches for the vehicle routing problem with time windows.\r\n"
author:
- first_name: C
  full_name: Grimme, C
  last_name: Grimme
- first_name: S
  full_name: Meisel, S
  last_name: Meisel
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: G
  full_name: Rudolph, G
  last_name: Rudolph
- first_name: M
  full_name: Wölck, M
  last_name: Wölck
citation:
  ama: 'Grimme C, Meisel S, Trautmann H, Rudolph G, Wölck M. Multi-Objective Analysis
    of Approaches to Dynamic Routing Of a Vehicle. In: <i>Proceedings of the European
    Conference On Information Systems</i>. ; 2015.'
  apa: Grimme, C., Meisel, S., Trautmann, H., Rudolph, G., &#38; Wölck, M. (2015).
    Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle. <i>Proceedings
    of the European Conference On Information Systems</i>.
  bibtex: '@inproceedings{Grimme_Meisel_Trautmann_Rudolph_Wölck_2015, place={Münster,
    Germany}, title={Multi-Objective Analysis of Approaches to Dynamic Routing Of
    a Vehicle}, booktitle={Proceedings of the European Conference On Information Systems},
    author={Grimme, C and Meisel, S and Trautmann, Heike and Rudolph, G and Wölck,
    M}, year={2015} }'
  chicago: Grimme, C, S Meisel, Heike Trautmann, G Rudolph, and M Wölck. “Multi-Objective
    Analysis of Approaches to Dynamic Routing Of a Vehicle.” In <i>Proceedings of
    the European Conference On Information Systems</i>. Münster, Germany, 2015.
  ieee: C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, and M. Wölck, “Multi-Objective
    Analysis of Approaches to Dynamic Routing Of a Vehicle,” 2015.
  mla: Grimme, C., et al. “Multi-Objective Analysis of Approaches to Dynamic Routing
    Of a Vehicle.” <i>Proceedings of the European Conference On Information Systems</i>,
    2015.
  short: 'C. Grimme, S. Meisel, H. Trautmann, G. Rudolph, M. Wölck, in: Proceedings
    of the European Conference On Information Systems, Münster, Germany, 2015.'
date_created: 2023-08-04T15:21:44Z
date_updated: 2023-10-16T13:41:16Z
department:
- _id: '34'
- _id: '819'
language:
- iso: eng
place: Münster, Germany
publication: Proceedings of the European Conference On Information Systems
status: public
title: Multi-Objective Analysis of Approaches to Dynamic Routing Of a Vehicle
type: conference
user_id: '15504'
year: '2015'
...
---
_id: '46380'
abstract:
- lang: eng
  text: 'We present methods to answer two basic questions that arise when benchmarking
    optimization algorithms. The first one is: which algorithm is the "best" one?
    and the second one is: which algorithm should I use for my real-world problem?
    Both are connected and neither is easy to answer. We present a theoretical framework
    for designing and analyzing the raw data of such benchmark experiments. This represents
    a first step in answering the aforementioned questions. The 2009 and 2010 BBOB
    benchmark results are analyzed by means of this framework and we derive insight
    regarding the answers to the two questions. Furthermore, we discuss how to properly
    aggregate rankings from algorithm evaluations on individual problems into a consensus,
    its theoretical background and which common pitfalls should be avoided. Finally,
    we address the grouping of test problems into sets with similar optimizer rankings
    and investigate whether these are reflected by already proposed test problem characteristics,
    finding that this is not always the case.'
author:
- first_name: O
  full_name: Mersmann, O
  last_name: Mersmann
- first_name: M
  full_name: Preuss, M
  last_name: Preuss
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
- first_name: B
  full_name: Bischl, B
  last_name: Bischl
- first_name: C
  full_name: Weihs, C
  last_name: Weihs
citation:
  ama: Mersmann O, Preuss M, Trautmann H, Bischl B, Weihs C. Analyzing the BBOB Results
    by Means of Benchmarking Concepts. <i>Evolutionary Computation Journal</i>. 2015;23(1):161–185.
  apa: Mersmann, O., Preuss, M., Trautmann, H., Bischl, B., &#38; Weihs, C. (2015).
    Analyzing the BBOB Results by Means of Benchmarking Concepts. <i>Evolutionary
    Computation Journal</i>, <i>23</i>(1), 161–185.
  bibtex: '@article{Mersmann_Preuss_Trautmann_Bischl_Weihs_2015, title={Analyzing
    the BBOB Results by Means of Benchmarking Concepts}, volume={23}, number={1},
    journal={Evolutionary Computation Journal}, author={Mersmann, O and Preuss, M
    and Trautmann, Heike and Bischl, B and Weihs, C}, year={2015}, pages={161–185}
    }'
  chicago: 'Mersmann, O, M Preuss, Heike Trautmann, B Bischl, and C Weihs. “Analyzing
    the BBOB Results by Means of Benchmarking Concepts.” <i>Evolutionary Computation
    Journal</i> 23, no. 1 (2015): 161–185.'
  ieee: O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, and C. Weihs, “Analyzing
    the BBOB Results by Means of Benchmarking Concepts,” <i>Evolutionary Computation
    Journal</i>, vol. 23, no. 1, pp. 161–185, 2015.
  mla: Mersmann, O., et al. “Analyzing the BBOB Results by Means of Benchmarking Concepts.”
    <i>Evolutionary Computation Journal</i>, vol. 23, no. 1, 2015, pp. 161–185.
  short: O. Mersmann, M. Preuss, H. Trautmann, B. Bischl, C. Weihs, Evolutionary Computation
    Journal 23 (2015) 161–185.
date_created: 2023-08-04T15:30:11Z
date_updated: 2023-10-16T13:43:06Z
department:
- _id: '34'
- _id: '819'
intvolume: '        23'
issue: '1'
language:
- iso: eng
page: 161–185
publication: Evolutionary Computation Journal
status: public
title: Analyzing the BBOB Results by Means of Benchmarking Concepts
type: journal_article
user_id: '15504'
volume: 23
year: '2015'
...
---
_id: '48838'
abstract:
- lang: eng
  text: 'The majority of algorithms can be controlled or adjusted by parameters. Their
    values can substantially affect the algorithms’ performance. Since the manual
    exploration of the parameter space is tedious – even for few parameters – several
    automatic procedures for parameter tuning have been proposed. Recent approaches
    also take into account some characteristic properties of the problem instances,
    frequently termed instance features. Our contribution is the proposal of a novel
    concept for feature-based algorithm parameter tuning, which applies an approximating
    surrogate model for learning the continuous feature-parameter mapping. To accomplish
    this, we learn a joint model of the algorithm performance based on both the algorithm
    parameters and the instance features. The required data is gathered using a recently
    proposed acquisition function for model refinement in surrogate-based optimization:
    the profile expected improvement. This function provides an avenue for maximizing
    the information required for the feature-parameter mapping, i.e., the mapping
    from instance features to the corresponding optimal algorithm parameters. The
    approach is validated by applying the tuner to exemplary evolutionary algorithms
    and problems, for which theoretically grounded or heuristically determined feature-parameter
    mappings are available.'
author:
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Bernd
  full_name: Bischl, Bernd
  last_name: Bischl
- first_name: Tobias
  full_name: Wagner, Tobias
  last_name: Wagner
- first_name: Günter
  full_name: Rudolph, Günter
  last_name: Rudolph
citation:
  ama: 'Bossek J, Bischl B, Wagner T, Rudolph G. Learning Feature-Parameter Mappings
    for Parameter Tuning via the Profile Expected Improvement. In: <i>Proceedings
    of the Genetic and Evolutionary Computation Conference</i>. GECCO ’15. Association
    for Computing Machinery; 2015:1319–1326. doi:<a href="https://doi.org/10.1145/2739480.2754673">10.1145/2739480.2754673</a>'
  apa: Bossek, J., Bischl, B., Wagner, T., &#38; Rudolph, G. (2015). Learning Feature-Parameter
    Mappings for Parameter Tuning via the Profile Expected Improvement. <i>Proceedings
    of the Genetic and Evolutionary Computation Conference</i>, 1319–1326. <a href="https://doi.org/10.1145/2739480.2754673">https://doi.org/10.1145/2739480.2754673</a>
  bibtex: '@inproceedings{Bossek_Bischl_Wagner_Rudolph_2015, place={New York, NY,
    USA}, series={GECCO ’15}, title={Learning Feature-Parameter Mappings for Parameter
    Tuning via the Profile Expected Improvement}, DOI={<a href="https://doi.org/10.1145/2739480.2754673">10.1145/2739480.2754673</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
    publisher={Association for Computing Machinery}, author={Bossek, Jakob and Bischl,
    Bernd and Wagner, Tobias and Rudolph, Günter}, year={2015}, pages={1319–1326},
    collection={GECCO ’15} }'
  chicago: 'Bossek, Jakob, Bernd Bischl, Tobias Wagner, and Günter Rudolph. “Learning
    Feature-Parameter Mappings for Parameter Tuning via the Profile Expected Improvement.”
    In <i>Proceedings of the Genetic and Evolutionary Computation Conference</i>,
    1319–1326. GECCO ’15. New York, NY, USA: Association for Computing Machinery,
    2015. <a href="https://doi.org/10.1145/2739480.2754673">https://doi.org/10.1145/2739480.2754673</a>.'
  ieee: 'J. Bossek, B. Bischl, T. Wagner, and G. Rudolph, “Learning Feature-Parameter
    Mappings for Parameter Tuning via the Profile Expected Improvement,” in <i>Proceedings
    of the Genetic and Evolutionary Computation Conference</i>, 2015, pp. 1319–1326,
    doi: <a href="https://doi.org/10.1145/2739480.2754673">10.1145/2739480.2754673</a>.'
  mla: Bossek, Jakob, et al. “Learning Feature-Parameter Mappings for Parameter Tuning
    via the Profile Expected Improvement.” <i>Proceedings of the Genetic and Evolutionary
    Computation Conference</i>, Association for Computing Machinery, 2015, pp. 1319–1326,
    doi:<a href="https://doi.org/10.1145/2739480.2754673">10.1145/2739480.2754673</a>.
  short: 'J. Bossek, B. Bischl, T. Wagner, G. Rudolph, in: Proceedings of the Genetic
    and Evolutionary Computation Conference, Association for Computing Machinery,
    New York, NY, USA, 2015, pp. 1319–1326.'
date_created: 2023-11-14T15:58:51Z
date_updated: 2023-12-13T10:40:30Z
department:
- _id: '819'
doi: 10.1145/2739480.2754673
extern: '1'
keyword:
- evolutionary algorithms
- model-based optimization
- parameter tuning
language:
- iso: eng
page: 1319–1326
place: New York, NY, USA
publication: Proceedings of the Genetic and Evolutionary Computation Conference
publication_identifier:
  isbn:
  - 978-1-4503-3472-3
publication_status: published
publisher: Association for Computing Machinery
series_title: GECCO ’15
status: public
title: Learning Feature-Parameter Mappings for Parameter Tuning via the Profile Expected
  Improvement
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '48887'
abstract:
- lang: eng
  text: 'We evaluate the performance of a multi-objective evolutionary algorithm on
    a class of dynamic routing problems with a single vehicle. In particular we focus
    on relating algorithmic performance to the most prominent characteristics of problem
    instances. The routing problem considers two types of customers: mandatory customers
    must be visited whereas optional customers do not necessarily have to be visited.
    Moreover, mandatory customers are known prior to the start of the tour whereas
    optional customers request for service at later points in time with the vehicle
    already being on its way. The multi-objective optimization problem then results
    as maximizing the number of visited customers while simultaneously minimizing
    total travel time. As an a-posteriori evaluation tool, the evolutionary algorithm
    aims at approximating the related Pareto set for specifically designed benchmarking
    instances differing in terms of number of customers, geographical layout, fraction
    of mandatory customers, and request times of optional customers. Conceptional
    and experimental comparisons to online heuristic procedures are provided.'
author:
- first_name: Stephan
  full_name: Meisel, Stephan
  last_name: Meisel
- first_name: Christian
  full_name: Grimme, Christian
  last_name: Grimme
- first_name: Jakob
  full_name: Bossek, Jakob
  id: '102979'
  last_name: Bossek
  orcid: 0000-0002-4121-4668
- first_name: Martin
  full_name: Wölck, Martin
  last_name: Wölck
- first_name: Günter
  full_name: Rudolph, Günter
  last_name: Rudolph
- first_name: Heike
  full_name: Trautmann, Heike
  last_name: Trautmann
citation:
  ama: 'Meisel S, Grimme C, Bossek J, Wölck M, Rudolph G, Trautmann H. Evaluation
    of a Multi-Objective EA on Benchmark Instances for Dynamic Routing of a Vehicle.
    In: <i>Proceedings of the Genetic and Evolutionary Computation Conference </i>.
    GECCO’15. Association for Computing Machinery; 2015:425–432. doi:<a href="https://doi.org/10.1145/2739480.2754705">10.1145/2739480.2754705</a>'
  apa: Meisel, S., Grimme, C., Bossek, J., Wölck, M., Rudolph, G., &#38; Trautmann,
    H. (2015). Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic
    Routing of a Vehicle. <i>Proceedings of the Genetic and Evolutionary Computation
    Conference </i>, 425–432. <a href="https://doi.org/10.1145/2739480.2754705">https://doi.org/10.1145/2739480.2754705</a>
  bibtex: '@inproceedings{Meisel_Grimme_Bossek_Wölck_Rudolph_Trautmann_2015, place={New
    York, NY, USA}, series={GECCO’15}, title={Evaluation of a Multi-Objective EA on
    Benchmark Instances for Dynamic Routing of a Vehicle}, DOI={<a href="https://doi.org/10.1145/2739480.2754705">10.1145/2739480.2754705</a>},
    booktitle={Proceedings of the Genetic and Evolutionary Computation Conference
    }, publisher={Association for Computing Machinery}, author={Meisel, Stephan and
    Grimme, Christian and Bossek, Jakob and Wölck, Martin and Rudolph, Günter and
    Trautmann, Heike}, year={2015}, pages={425–432}, collection={GECCO’15} }'
  chicago: 'Meisel, Stephan, Christian Grimme, Jakob Bossek, Martin Wölck, Günter
    Rudolph, and Heike Trautmann. “Evaluation of a Multi-Objective EA on Benchmark
    Instances for Dynamic Routing of a Vehicle.” In <i>Proceedings of the Genetic
    and Evolutionary Computation Conference </i>, 425–432. GECCO’15. New York, NY,
    USA: Association for Computing Machinery, 2015. <a href="https://doi.org/10.1145/2739480.2754705">https://doi.org/10.1145/2739480.2754705</a>.'
  ieee: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, and H. Trautmann,
    “Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
    of a Vehicle,” in <i>Proceedings of the Genetic and Evolutionary Computation Conference
    </i>, 2015, pp. 425–432, doi: <a href="https://doi.org/10.1145/2739480.2754705">10.1145/2739480.2754705</a>.'
  mla: Meisel, Stephan, et al. “Evaluation of a Multi-Objective EA on Benchmark Instances
    for Dynamic Routing of a Vehicle.” <i>Proceedings of the Genetic and Evolutionary
    Computation Conference </i>, Association for Computing Machinery, 2015, pp. 425–432,
    doi:<a href="https://doi.org/10.1145/2739480.2754705">10.1145/2739480.2754705</a>.
  short: 'S. Meisel, C. Grimme, J. Bossek, M. Wölck, G. Rudolph, H. Trautmann, in:
    Proceedings of the Genetic and Evolutionary Computation Conference , Association
    for Computing Machinery, New York, NY, USA, 2015, pp. 425–432.'
date_created: 2023-11-14T15:58:59Z
date_updated: 2023-12-13T10:49:06Z
department:
- _id: '819'
doi: 10.1145/2739480.2754705
extern: '1'
keyword:
- combinatorial optimization
- metaheuristics
- multi-objective optimization
- online algorithms
- transportation
language:
- iso: eng
page: 425–432
place: New York, NY, USA
publication: 'Proceedings of the Genetic and Evolutionary Computation Conference '
publication_identifier:
  isbn:
  - 978-1-4503-3472-3
publisher: Association for Computing Machinery
series_title: GECCO’15
status: public
title: Evaluation of a Multi-Objective EA on Benchmark Instances for Dynamic Routing
  of a Vehicle
type: conference
user_id: '102979'
year: '2015'
...
---
_id: '47233'
author:
- first_name: Henning
  full_name: Perl, Henning
  last_name: Perl
- first_name: Sergej
  full_name: Dechand, Sergej
  last_name: Dechand
- first_name: Matthew
  full_name: Smith, Matthew
  last_name: Smith
- first_name: Daniel
  full_name: Arp, Daniel
  last_name: Arp
- first_name: Fabian
  full_name: Yamaguchi, Fabian
  last_name: Yamaguchi
- first_name: Konrad
  full_name: Rieck, Konrad
  last_name: Rieck
- first_name: Sascha
  full_name: Fahl, Sascha
  last_name: Fahl
- first_name: Yasemin
  full_name: Acar, Yasemin
  id: '94636'
  last_name: Acar
citation:
  ama: 'Perl H, Dechand S, Smith M, et al. VCCFinder: Finding Potential Vulnerabilities
    in Open-Source Projects to Assist Code Audits. In: <i>Proceedings of the 22nd
    ACM SIGSAC Conference on Computer and Communications Security</i>. ACM; 2015.
    doi:<a href="https://doi.org/10.1145/2810103.2813604">10.1145/2810103.2813604</a>'
  apa: 'Perl, H., Dechand, S., Smith, M., Arp, D., Yamaguchi, F., Rieck, K., Fahl,
    S., &#38; Acar, Y. (2015). VCCFinder: Finding Potential Vulnerabilities in Open-Source
    Projects to Assist Code Audits. <i>Proceedings of the 22nd ACM SIGSAC Conference
    on Computer and Communications Security</i>. <a href="https://doi.org/10.1145/2810103.2813604">https://doi.org/10.1145/2810103.2813604</a>'
  bibtex: '@inproceedings{Perl_Dechand_Smith_Arp_Yamaguchi_Rieck_Fahl_Acar_2015, title={VCCFinder:
    Finding Potential Vulnerabilities in Open-Source Projects to Assist Code Audits},
    DOI={<a href="https://doi.org/10.1145/2810103.2813604">10.1145/2810103.2813604</a>},
    booktitle={Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications
    Security}, publisher={ACM}, author={Perl, Henning and Dechand, Sergej and Smith,
    Matthew and Arp, Daniel and Yamaguchi, Fabian and Rieck, Konrad and Fahl, Sascha
    and Acar, Yasemin}, year={2015} }'
  chicago: 'Perl, Henning, Sergej Dechand, Matthew Smith, Daniel Arp, Fabian Yamaguchi,
    Konrad Rieck, Sascha Fahl, and Yasemin Acar. “VCCFinder: Finding Potential Vulnerabilities
    in Open-Source Projects to Assist Code Audits.” In <i>Proceedings of the 22nd
    ACM SIGSAC Conference on Computer and Communications Security</i>. ACM, 2015.
    <a href="https://doi.org/10.1145/2810103.2813604">https://doi.org/10.1145/2810103.2813604</a>.'
  ieee: 'H. Perl <i>et al.</i>, “VCCFinder: Finding Potential Vulnerabilities in Open-Source
    Projects to Assist Code Audits,” 2015, doi: <a href="https://doi.org/10.1145/2810103.2813604">10.1145/2810103.2813604</a>.'
  mla: 'Perl, Henning, et al. “VCCFinder: Finding Potential Vulnerabilities in Open-Source
    Projects to Assist Code Audits.” <i>Proceedings of the 22nd ACM SIGSAC Conference
    on Computer and Communications Security</i>, ACM, 2015, doi:<a href="https://doi.org/10.1145/2810103.2813604">10.1145/2810103.2813604</a>.'
  short: 'H. Perl, S. Dechand, M. Smith, D. Arp, F. Yamaguchi, K. Rieck, S. Fahl,
    Y. Acar, in: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications
    Security, ACM, 2015.'
date_created: 2023-09-22T12:03:10Z
date_updated: 2024-06-05T13:16:23Z
department:
- _id: '34'
- _id: '858'
doi: 10.1145/2810103.2813604
extern: '1'
language:
- iso: eng
publication: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications
  Security
publication_status: published
publisher: ACM
status: public
title: 'VCCFinder: Finding Potential Vulnerabilities in Open-Source Projects to Assist
  Code Audits'
type: conference
user_id: '14931'
year: '2015'
...