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Nejat Arinik
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2020 – today
- 2024
- [j6]Noé Cecillon, Vincent Labatut, Richard Dufour, Nejat Arinik:
Whole-Graph Representation Learning for the Classification of Signed Networks. IEEE Access 12: 151303-151316 (2024) - [i6]Noé Cecillon, Vincent Labatut, Richard Dufour, Nejat Arinik:
Whole-Graph Representation Learning For the Classification of Signed Networks. CoRR abs/2409.20073 (2024) - 2023
- [j5]Nejat Arinik, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire:
An Evaluation Framework for Comparing Epidemic Intelligence Systems. IEEE Access 11: 31880-31901 (2023) - [j4]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Efficient enumeration of the optimal solutions to the correlation clustering problem. J. Glob. Optim. 86(2): 355-391 (2023) - [i5]Nejat Arinik, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire:
An evaluation framework for comparing epidemic intelligence systems. CoRR abs/2303.17431 (2023) - 2021
- [b1]Nejat Arinik:
Multiplicity in the Partitioning of Signed Graphs. (Multiplicité dans la partitionnement de graphes signés). University of Avignon, France, 2021 - [j3]Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and Comparing External Measures for the Assessment of Cluster Analysis and Community Detection. IEEE Access 9: 20255-20276 (2021) - [j2]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs. J. Complex Networks 8(6) (2021) - [i4]Nejat Arinik, Vincent Labatut, Rosa Figueiredo:
Characterizing and comparing external measures for the assessment of cluster analysis and community detection. CoRR abs/2102.00708 (2021) - 2020
- [j1]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiple partitioning of multiplex signed networks: Application to European parliament votes. Soc. Networks 60: 83-102 (2020) - [c1]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Characterizing measures for the assessment of cluster analysis and community detection (extended abstract). MARAMI 2020 - [i3]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs. CoRR abs/2011.05196 (2020)
2010 – 2019
- 2018
- [i2]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Analysis of Roll-Calls in the European Parliament by Multiple Partitioning of Multiplex Signed Networks. CoRR abs/1811.10337 (2018) - 2017
- [i1]Nejat Arinik, Rosa Figueiredo, Vincent Labatut:
Signed Graph Analysis for the Interpretation of Voting Behavior. CoRR abs/1712.10157 (2017)
Coauthor Index
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