Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data
Lammers K, Vaquet V, Hammer B (2025)
In: Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I. Senn W, Sanguineti M, Saudargiene A, Tetko IV, Villa AEP, Jirsa V, Bengio Y (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 336-348.
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| Veröffentlicht | Englisch
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Herausgeber*in
Senn, Walter;
Sanguineti, Marcello;
Saudargiene, Ausra;
Tetko, Igor V.;
Villa, Alessandro E. P.;
Jirsa, Viktor;
Bengio, Yoshua
Einrichtung
Projekt / Fokusbereich
Erscheinungsjahr
2025
Buchtitel
Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I
Serientitel
Lecture Notes in Computer Science
Seite(n)
336-348
ISBN
978-3-032-04557-7
eISBN
978-3-032-04558-4
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/3006850
Zitieren
Lammers K, Vaquet V, Hammer B. Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data. In: Senn W, Sanguineti M, Saudargiene A, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2025: 336-348.
Lammers, K., Vaquet, V., & Hammer, B. (2025). Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data. In W. Senn, M. Sanguineti, A. Saudargiene, I. V. Tetko, A. E. P. Villa, V. Jirsa, & Y. Bengio (Eds.), Lecture Notes in Computer Science. Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I (pp. 336-348). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04558-4_27
Lammers, Kathrin, Vaquet, Valerie, and Hammer, Barbara. 2025. “Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data”. In Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I, ed. Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 336-348. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
Lammers, K., Vaquet, V., and Hammer, B. (2025). “Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data” in Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I, Senn, W., Sanguineti, M., Saudargiene, A., Tetko, I. V., Villa, A. E. P., Jirsa, V., and Bengio, Y. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 336-348.
Lammers, K., Vaquet, V., & Hammer, B., 2025. Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data. In W. Senn, et al., eds. Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 336-348.
K. Lammers, V. Vaquet, and B. Hammer, “Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data”, Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I, W. Senn, et al., eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2025, pp.336-348.
Lammers, K., Vaquet, V., Hammer, B.: Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data. In: Senn, W., Sanguineti, M., Saudargiene, A., Tetko, I.V., Villa, A.E.P., Jirsa, V., and Bengio, Y. (eds.) Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I. Lecture Notes in Computer Science. p. 336-348. Springer Nature Switzerland, Cham (2025).
Lammers, Kathrin, Vaquet, Valerie, and Hammer, Barbara. “Continuous Fair SMOTE – Fairness-Aware Stream Learning from Imbalanced Data”. Artificial Neural Networks and Machine Learning – ICANN 2025. 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part I. Ed. Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio. Cham: Springer Nature Switzerland, 2025. Lecture Notes in Computer Science. 336-348.
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