Robin Senge

According to our database, Robin Senge authored at least 18 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Teacher Network Calibration Improves Cross-Quality Knowledge Distillation.

Pia Cuk, Robin Senge, Mikko Lauri, Simone Frintrop

CoRR, 2023

2021

Distributional regression for demand forecasting in e-grocery.

Matthias Ulrich, Hermann Jahnke, Roland Langrock, Robert Pesch, Robin Senge

Eur. J. Oper. Res., 2021

2020

Demand Forecasting using Long Short-Term Memory Neural Networks.

Marta Golabek, Robin Senge, Rainer Neumann

CoRR, 2020

2016

Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.

Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier, Dominik Heider

BioData Min., 2016

2015

Fast Fuzzy Pattern Tree Learning for Classification.

Robin Senge, Eyke Hüllermeier

IEEE Trans. Fuzzy Syst., 2015

2014

Machine learning methods for fuzzy pattern tree induction.

Robin Senge

PhD thesis, 2014

Dependent binary relevance models for multi-label classification.

Elena Montañés, Robin Senge, José Barranquero, José Ramón Quevedo, Juan José del Coz, Eyke Hüllermeier

Pattern Recognit., 2014

Reliable classification: Learning classifiers that distinguish aleatoric and epistemic uncertainty.

Robin Senge, Stefan Bösner, Krzysztof Dembczynski, Jörg Haasenritter, Oliver Hirsch, Norbert Donner-Banzhoff, Eyke Hüllermeier

Inf. Sci., 2014

2013

Evolving fuzzy pattern trees for binary classification on data streams.

Ammar Shaker, Robin Senge, Eyke Hüllermeier

Inf. Sci., 2013

Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.

Dominik Heider, Robin Senge, Weiwei Cheng, Eyke Hüllermeier

Bioinform., 2013

Rectifying Classifier Chains for Multi-Label Classification.

Robin Senge, Juan José del Coz, Eyke Hüllermeier

Proceedings of the LWA 2013. Lernen, 2013

Fuzzy pattern trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of color yield in polyester dyeing.

Maryam Nasiri, Thomas Fober, Robin Senge, Eyke Hüllermeier

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012

Comparing Fuzzy Partitions: A Generalization of the Rand Index and Related Measures.

Eyke Hüllermeier, Maria Rifqi, Sascha Henzgen, Robin Senge

IEEE Trans. Fuzzy Syst., 2012

Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung.

Robin Senge, Thomas Fober, Maryam Nasiri, Eyke Hüllermeier

Autom., 2012

On the Problem of Error Propagation in Classifier Chains for Multi-label Classification.

Robin Senge, Juan José del Coz, Eyke Hüllermeier

Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012

2011

Top-Down Induction of Fuzzy Pattern Trees.

Robin Senge, Eyke Hüllermeier

IEEE Trans. Fuzzy Syst., 2011

2010

Pattern trees for regression and fuzzy systems modeling.

Robin Senge, Eyke Hüllermeier

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Learning Pattern Tree Classifiers Using a Co-Evolutionary Algorithm.

Robin Senge, Eyke Hüllermeier

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009