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2020 – today
- 2023
[i3]Pia Cuk, Robin Senge, Mikko Lauri, Simone Frintrop:
Teacher Network Calibration Improves Cross-Quality Knowledge Distillation. CoRR abs/2304.07593 (2023)- 2021
- [j10]Matthias Ulrich, Hermann Jahnke, Roland Langrock, Robert Pesch, Robin Senge:
Distributional regression for demand forecasting in e-grocery. Eur. J. Oper. Res. 294(3): 831-842 (2021) - 2020
- [i2]Marta Golabek, Robin Senge, Rainer Neumann:
Demand Forecasting using Long Short-Term Memory Neural Networks. CoRR abs/2008.08522 (2020)
2010 – 2019
- 2019
- [i1]Robin Senge, Juan José del Coz, Eyke Hüllermeier:
Rectifying Classifier Chains for Multi-Label Classification. CoRR abs/1906.02915 (2019) - 2016
- [j9]Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier, Dominik Heider
:
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification. BioData Min. 9: 10 (2016) - 2015
- [j8]Robin Senge, Eyke Hüllermeier:
Fast Fuzzy Pattern Tree Learning for Classification. IEEE Trans. Fuzzy Syst. 23(6): 2024-2033 (2015) - 2014
- [b1]Robin Senge:
Machine learning methods for fuzzy pattern tree induction. University of Marburg, 2014, pp. 1-139 - [j7]Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier:
Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty. Inf. Sci. 255: 16-29 (2014) - [j6]Elena Montañés, Robin Senge, José Barranquero, José Ramón Quevedo, Juan José del Coz, Eyke Hüllermeier:
Dependent binary relevance models for multi-label classification. Pattern Recognit. 47(3): 1494-1508 (2014) - 2013
- [j5]Dominik Heider, Robin Senge, Weiwei Cheng, Eyke Hüllermeier:
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction. Bioinform. 29(16): 1946-1952 (2013) - [j4]Ammar Shaker, Robin Senge, Eyke Hüllermeier:
Evolving fuzzy pattern trees for binary classification on data streams. Inf. Sci. 220: 34-45 (2013) - [c6]Maryam Nasiri, Thomas Fober, Robin Senge, Eyke Hüllermeier:
Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing. IFSA/NAFIPS 2013: 715-721 - [c5]Robin Senge, Juan José del Coz, Eyke Hüllermeier:
Rectifying Classifier Chains for Multi-Label Classification. LWA 2013: 151-158 - 2012
- [j3]Robin Senge, Thomas Fober, Maryam Nasiri, Eyke Hüllermeier:
Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung. Autom. 60(10): 622-629 (2012) - [j2]Eyke Hüllermeier, Maria Rifqi, Sascha Henzgen, Robin Senge:
Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures. IEEE Trans. Fuzzy Syst. 20(3): 546-556 (2012) - [c4]Robin Senge, Juan José del Coz, Eyke Hüllermeier:
On the Problem of Error Propagation in Classifier Chains for Multi-label Classification. GfKl 2012: 163-170 - 2011
- [j1]Robin Senge, Eyke Hüllermeier:
Top-Down Induction of Fuzzy Pattern Trees. IEEE Trans. Fuzzy Syst. 19(2): 241-252 (2011) - [c3]Ammar Shaker, Robin Senge, Eyke Hüllermeier:
Evolving Fuzzy Pattern Trees for Binary Classification on Data Streams. LWA 2011: 106-113 - 2010
- [c2]Robin Senge, Eyke Hüllermeier:
Pattern trees for regression and fuzzy systems modeling. FUZZ-IEEE 2010: 1-7
2000 – 2009
- 2009
- [c1]Robin Senge, Eyke Hüllermeier:
Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm. LWA 2009: KDML:105-110
Coauthor Index
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