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5 Publikationen

2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2937053
Adversarial Edit Attacks for Tree Data
Paaßen B (Accepted)
In: Proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019). Yin H, Camacho D, Tino P (Eds); .
PUB | Download (ext.) | arXiv
 
2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2911900
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
Paaßen B, Göpfert C, Hammer B (2018)
Neural Processing Letters 48(2): 669-689.
PUB | DOI | Download (ext.) | WoS | arXiv
 
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919844
Tree Edit Distance Learning via Adaptive Symbol Embeddings
Paaßen B, Gallicchio C, Micheli A, Hammer B (2018)
In: Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Dy J, Krause A (Eds); Proceedings of Machine Learning Research, 80. 3973-3982.
PUB | Download (ext.) | arXiv
 
2017 | Datenpublikation | PUB-ID: 2913104
Time Series Prediction for Relational and Kernel Data
Paaßen B (2017)
Bielefeld University.
PUB | Dateien verfügbar | DOI
 
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900676
Gaussian process prediction for time series of structured data
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46.
PUB | PDF
 

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