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Anzahl der Publikationen: 11
Zeitschriftenartikel
Melnikov, Vitalik und Hüllermeier, Eyke 
ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis.
In: Machine Learning, Bd. 107, Nr. 8-10: S. 1537-1560
ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis.
In: Machine Learning, Bd. 107, Nr. 8-10: S. 1537-1560
Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kaimann, Daniel; Frick, Bernd und Gupta, Pritha
(2016):
Pairwise versus Pointwise Ranking: A Case Study.
In: Schedae Informaticae, Bd. 25: S. 73-83
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108; Kaimann, Daniel; Frick, Bernd und Gupta, Pritha
(2016):
Pairwise versus Pointwise Ranking: A Case Study.
In: Schedae Informaticae, Bd. 25: S. 73-83
[PDF, 1MB]
Buchbeitrag
Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2017):
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.
In: Mikut, Ralf; Hüllermeier, Eyke und Hoffmann, Frank (Hrsg.):
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Karlsruhe: KIT Scientific Publishing. S. 1-12
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(November 2017):
Optimizing the Structure of Nested Dichotomies: A Comparison of Two Heuristics.
In: Mikut, Ralf; Hüllermeier, Eyke und Hoffmann, Frank (Hrsg.):
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. Karlsruhe: KIT Scientific Publishing. S. 1-12
[PDF, 1MB]
Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Learning to Aggregate Using Uninorms.
In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe und Vreeken, Jilles (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, Bd. 9852. S. 756-771
[PDF, 472kB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2016):
Learning to Aggregate Using Uninorms.
In: Frasconi, Paolo; Landwehr, Niels; Manco, Giuseppe und Vreeken, Jilles (Hrsg.):
Machine Learning and Knowledge Discovery in Databases. Lecture Notes in Computer Science, Bd. 9852. S. 756-771
[PDF, 472kB]
Konferenzbeitrag
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(Februar 2023):
Property-Driven Black-Box Testing of Numeric Functions.
Software Engineering 2023, Paderborn, Germany, 20-24 February 2023.
Engels, Gregor; Hebig, Regina und Tichy, Matthias (Hrsg.):
111-112
Bonn: Gesellschaft für Informatik e.V.. S. 111-112
[PDF, 213kB]
ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(Februar 2023):
Property-Driven Black-Box Testing of Numeric Functions.
Software Engineering 2023, Paderborn, Germany, 20-24 February 2023.
Engels, Gregor; Hebig, Regina und Tichy, Matthias (Hrsg.):
111-112
Bonn: Gesellschaft für Informatik e.V.. S. 111-112
[PDF, 213kB]
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(Mai 2022):
Property-Driven Testing of Black-Box Functions.
2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE), Pittsburgh, PA, USA, 22-23 May 2022.
S. 113-123
ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(Mai 2022):
Property-Driven Testing of Black-Box Functions.
2022 IEEE/ACM 10th International Conference on Formal Methods in Software Engineering (FormaliSE), Pittsburgh, PA, USA, 22-23 May 2022.
S. 113-123
Sharma, Arnab; Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(2022):
Property-driven testing of black-box functions.
10th International Conference on Formal Methods in Software Engineering (FormaliSE '22), Pittsburgh Pennsylvania, May 18 - 22, 2022.
In: Proceedings of the IEEE/ACM 10th International Conference on Formal Methods in Software Engineering,
New York: Association for Computing Machinery. S. 113-123
ORCID: https://orcid.org/0000-0002-9944-4108 und Wehrheim, Heike
(2022):
Property-driven testing of black-box functions.
10th International Conference on Formal Methods in Software Engineering (FormaliSE '22), Pittsburgh Pennsylvania, May 18 - 22, 2022.
In: Proceedings of the IEEE/ACM 10th International Conference on Formal Methods in Software Engineering,
New York: Association for Computing Machinery. S. 113-123
Peeters, Sven; Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(26. April 2021):
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games.
19th International Symposium on Intelligent Data Analysis, Porto, Portugal, April 26–28, 2021.
In: Advances in Intelligent Data Analysis XIX,
Bd. 12695
S. 222-234
ORCID: https://orcid.org/0000-0002-9944-4108
(26. April 2021):
Performance Prediction for Hardware-Software Configurations: A Case Study for Video Games.
19th International Symposium on Intelligent Data Analysis, Porto, Portugal, April 26–28, 2021.
In: Advances in Intelligent Data Analysis XIX,
Bd. 12695
S. 222-234
Damke, Clemens ORCID: https://orcid.org/0000-0002-0455-0048; Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
A Novel Higher-order Weisfeiler-Lehman Graph Convolution.
12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 18-20 November 2020.
Jialin Pan, Sinno und Sugiyama, Masashi (Hrsg.):
In: Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020),
Bd. 129
S. 49-64
[PDF, 771kB]
ORCID: https://orcid.org/0000-0002-0455-0048; Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
A Novel Higher-order Weisfeiler-Lehman Graph Convolution.
12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 18-20 November 2020.
Jialin Pan, Sinno und Sugiyama, Masashi (Hrsg.):
In: Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020),
Bd. 129
S. 49-64
[PDF, 771kB]
Melnikov, Vitalik und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.
11th Asian Conference on Machine Learning (ACML 2019), Nagoya, Japan, November 17 - 19, 2019.
Wee Sun, Lee und Suzuki, Taiji (Hrsg.):
In: Proceedings of The Eleventh Asian Conference on Machine Learning,
Bd. 101
S. 1110-1125
[PDF, 2MB]
ORCID: https://orcid.org/0000-0002-9944-4108
(2019):
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA.
11th Asian Conference on Machine Learning (ACML 2019), Nagoya, Japan, November 17 - 19, 2019.
Wee Sun, Lee und Suzuki, Taiji (Hrsg.):
In: Proceedings of The Eleventh Asian Conference on Machine Learning,
Bd. 101
S. 1110-1125
[PDF, 2MB]
Fober, Thomas; Mernberger, Marco; Melnikov, Vitalik; Moritz, Ralph und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, Germany, 21.-23. September 2009.
Hartmann, Melanie und Janssen, Frederik (Hrsg.):
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. S. 30-36
ORCID: https://orcid.org/0000-0002-9944-4108
(2009):
Extension and Empirical Comparison of Graph-Kernels for the Analysis of Protein Active Sites.
LWA 2009: Workshop-Woche: Lernen, Wissen, Adaptivität, Darmstadt, Germany, 21.-23. September 2009.
Hartmann, Melanie und Janssen, Frederik (Hrsg.):
Darmstadt: FG Telekooperation/FG Knowledge Engineering, Technische Universität Darmstadt. S. 30-36