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ORCIDDietlind Zühlke
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- affiliation: RWTH Aachen University, Germany
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2020 – today
- 2023
[i4]Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Nabiha Asghar, Philipp Schaer, Dietlind Zühlke:
ConvGenVisMo: Evaluation of Conversational Generative Vision Models. CoRR abs/2305.17784 (2023)- 2022
- [c12]Matthias Groß
, Dietlind Zühlke, Boris Naujoks:
Automating Speedrun Routing: Overview and Vision. EvoApplications 2022: 471-486 - [c11]Julia Pritzen, Michael Gref, Dietlind Zühlke, Christoph Andreas Schmidt:
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. LREC 2022: 3242-3249 - 2021
- [c10]Julia Pritzen, Michael Gref, Christoph Schmidt, Dietlind Zühlke:
A Comparative Pronunciation Mapping Approach using G2P Conversion for Anglicisms in German Speech Recognition. ITG Conference on Speech Communication 2021: 1-5 - [i3]Julia Pritzen, Michael Gref, Christoph Schmidt, Dietlind Zühlke:
Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. CoRR abs/2105.12708 (2021) - [i2]Matthias Groß, Dietlind Zühlke, Boris Naujoks:
Automating Speedrun Routing: Overview and Vision. CoRR abs/2106.01182 (2021)
2010 – 2019
- 2017
- [c9]Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zühlke:
Biomedical data analysis in translational research: integration of expert knowledge and interpretable models. ESANN 2017 - 2016
- [i1]Gyan Bhanot, Michael Biehl, Thomas Villmann, Dietlind Zühlke:
Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis (Dagstuhl Seminar 16261). Dagstuhl Reports 6(6): 88-110 (2016) - 2015
- [c8]Ernest Mwebaze, Gjalt Bearda, Michael Biehl, Dietlind Zühlke:
Combining dissimilarity measures for prototype-based classification. ESANN 2015 - [c7]Heiner Oberkampf, Turan Gojayev, Sonja Zillner, Dietlind Zühlke, Sören Auer, Matthias Hammon:
From Symptoms to Diseases - Creating the Missing Link. ESWC 2015: 652-667 - [p1]Dietlind Zühlke, Gernoth Grunst, Kerstin Röser:
Cooperative Feature Selection in Personalized Medicine. Decision Making 2015: 119-144 - 2014
- [c6]Mandy Lange, Dietlind Zühlke, Olaf Holz, Thomas Villmann:
Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization. ESANN 2014 - 2011
- [c5]Udo Seiffert, Frank-Michael Schleif, Dietlind Zühlke:
Recent trends in computational intelligence in life sciences. ESANN 2011 - 2010
- [j1]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Median fuzzy c-means for clustering dissimilarity data. Neurocomputing 73(7-9): 1109-1116 (2010) - [c4]Dietlind Zühlke, Frank-Michael Schleif, Tina Geweniger, Sven Haase, Thomas Villmann:
Learning vector quantization for heterogeneous structured data. ESANN 2010
2000 – 2009
- 2009
- [c3]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Median Variant of Fuzzy c-Means. ESANN 2009 - [c2]Dietlind Zühlke, Tina Geweniger, Ulrich Heimann, Thomas Villmann:
Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers. ESANN 2009 - [c1]Tina Geweniger, Dietlind Zühlke, Barbara Hammer, Thomas Villmann:
Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means. WSOM 2009: 72-79
Coauthor Index
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