1. Globular cluster detection in the GAIA survey

   Mohammadi, M., Petkov, N., Bunte, K., Peletier, R. & Schleif, F-M., 21-May-2019, In : Neurocomputing. 342, SI, p. 164-171 7 p.

   Research output: Contribution to journal › Article › Academic › peer-review

2. Advances in artificial neural networks, machine learning and computational intelligence Selected papers from the 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018)

   Oneto, L., Bunte, K. & Schleif, F-M., 21-May-2019, In : Neurocomputing. 342, p. 1-5 5 p.

   Research output: Contribution to journal › Editorial › Academic › peer-review

3. Feature Relevance Determination for Ordinal Regression in the Context of Feature Redundancies and Privileged Information

   Pfannschmidt, L., Jakob, J., Hinder, F., Biehl, M., Tino, P. & Hammer, B., 10-Dec-2019, (Accepted/In press) In : Neurocomputing.

   Research output: Contribution to journal › Article › Academic › peer-review

4. Galaxy classification: A machine learning analysis of GAMA catalogue data

   Nolte, A., Wang, L., Bilicki, M., Holwerda, B. & Biehl, M., 21-May-2019, In : Neurocomputing. 342, SI, p. 172-190 19 p.

   Research output: Contribution to journal › Article › Academic › peer-review

5. Modeling stress-induced adaptations in Ca2+ dynamics

   Sidiropoulou, K., Joels, M. & Poirazi, P., Jun-2007, In : Neurocomputing. 70, 10-12, p. 1640-1644 5 p.

   Research output: Contribution to journal › Article › Academic › peer-review

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