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ORCIDDominik Heider
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- affiliation: Philipps-University of Marburg, Germany
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2020 – today
- 2024
[j40]Yunxiao Ren
, Carmen Li, Dulmini Nanayakkara Sapugahawatte, Chendi Zhu, Sebastian Spänig, Dorota Jamrozy, Julian Rothen, Claudia A. Daubenberger, Stephen D. Bentley, Margaret Ip, Dominik Heider:
Predicting hosts and cross-species transmission of Streptococcus agalactiae by interpretable machine learning. Comput. Biol. Medicine 171: 108185 (2024)- [j39]Mohammad Tajabadi, Dominik Heider:
Fair swarm learning: Improving incentives for collaboration by a fair reward mechanism. Knowl. Based Syst. 304: 112451 (2024) - 2023
- [j38]Sebastian Spänig, Alexander Michel, Dominik Heider:
Unsupervised encoding selection through ensemble pruning for biomedical classification. BioData Min. 16(1) (2023) - [j37]Roman Martin, Minh Kien Nguyen, Nick Lowack, Dominik Heider:
ODNA: identification of organellar DNA by machine learning. Bioinform. 39(5) (2023) - [j36]Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider:
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification. Bioinform. 39(10) (2023) - [j35]Aleksandar Anzel, Dominik Heider, Georges Hattab:
Interactive polar diagrams for model comparison. Comput. Methods Programs Biomed. 242: 107843 (2023) - [c8]Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer:
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. CD-MAKE 2023: 45-64 - [d2]Bastian Pfeifer, Hryhorii Chereda, Roman Martin, Anna Saranti, Sandra Clemens, Anne-Christin Hauschild, Tim Beißbarth, Andreas Holzinger, Dominik Heider:
Ensemble-GNN: Source Code and Data. Zenodo, 2023
- [d1]Dennis Wagner, Dominik Heider, Georges Hattab:
Secondary Mushroom. UCI Machine Learning Repository, 2023 - [i5]Tiago da Silva, Eliezer S. Silva, Adèle H. Ribeiro, António Góis, Dominik Heider, Samuel Kaski, Diego Mesquita:
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets. CoRR abs/2309.12032 (2023) - 2022
- [j34]Yunxiao Ren, Trinad Chakraborty, Swapnil Doijad, Linda Falgenhauer, Jane Falgenhauer, Alexander Goesmann, Anne-Christin Hauschild, Oliver Schwengers, Dominik Heider:
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning. Bioinform. 38(2): 325-334 (2022) - [j33]Anne-Christin Hauschild, Marta Lemanczyk, Julian O. Matschinske, Tobias Frisch, Olga I. Zolotareva, Andreas Holzinger, Jan Baumbach, Dominik Heider:
Federated Random Forests can improve local performance of predictive models for various healthcare applications. Bioinform. 38(8): 2278-2286 (2022) - [j32]Jacqueline Michelle Beinecke, Patrick Anders, Tino Schurrat, Dominik Heider, Markus Luster, Damiano Librizzi, Anne-Christin Hauschild:
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. Comput. Biol. Medicine 143: 105263 (2022) - 2021
- [j31]Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia N. Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Renó Kmiecinski, Denise Kühnert, Gorka Lasso, Pieter Libin, Markus List, Hannah F. Löchel, Maria Jesus Martin, Roman Martin, Julian O. Matschinske, Alice C. McHardy, Pedro Mendes, Jaina Mistry, Vincent Navratil, Eric P. Nawrocki, Áine Niamh O'toole, Nancy Ontiveros-Palacios, Anton I. Petrov, Guillermo Rangel-Pineros, Nicole Redaschi, Susanne Reimering, Knut Reinert, Alejandro Reyes, Lorna J. Richardson, David L. Robertson, Sepideh Sadegh, Joshua B. Singer, Kristof Theys, Chris Upton, Marius Welzel, Lowri Williams, Manja Marz:
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research. Briefings Bioinform. 22(2): 642-663 (2021) - [j30]Jacqueline Michelle Beinecke, Dominik Heider:
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making. BioData Min. 14(1) (2021) - [j29]Roman Martin, Thomas Hackl, Georges Hattab, Matthias G. Fischer, Dominik Heider:
MOSGA: Modular Open-Source Genome Annotator. Bioinform. 36(22-23): 5514-5515 (2021) - [j28]Mariem Gandouz, Hajo Holzmann, Dominik Heider:
Machine learning with asymmetric abstention for biomedical decision-making. BMC Medical Informatics Decis. Mak. 21(1): 294 (2021) - [j27]Georges Hattab, Theresa-Marie Rhyne, Dominik Heider:
Correction: Ten simple rules to colorize biological data visualization. PLoS Comput. Biol. 17(4) (2021) - [i4]Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach:
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. CoRR abs/2105.05734 (2021) - 2020
- [j26]Hannah F. Löchel, Dominic Eger, Theodor Sperlea, Dominik Heider:
Deep learning on chaos game representation for proteins. Bioinform. 36(1): 272-279 (2020) - [j25]Michael Schwarz, Marius Welzel, Tolganay Kabdullayeva, Anke Becker, Bernd Freisleben, Dominik Heider:
MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors. Bioinform. 36(11): 3322-3326 (2020) - [j24]Marius Welzel, Anja Lange, Dominik Heider, Michael Schwarz, Bernd Freisleben, Manfred Jensen, Jens Boenigk, Daniela Beisser:
Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads. BMC Bioinform. 21(1): 526 (2020) - [j23]Georges Hattab, Theresa-Marie Rhyne, Dominik Heider:
Ten simple rules to colorize biological data visualization. PLoS Comput. Biol. 16(10) (2020) - [i3]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian O. Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach:
Privacy-preserving Artificial Intelligence Techniques in Biomedicine. CoRR abs/2007.11621 (2020)
2010 – 2019
- 2019
- [j22]Sebastian Spänig, Agnes Emberger-Klein, Jan-Peter Sowa, Ali Canbay, Klaus Menrad, Dominik Heider:
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes. Artif. Intell. Medicine 100 (2019) - [j21]Sebastian Spänig, Dominik Heider:
Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. BioData Min. 12(1): 7:1-7:29 (2019) - [j20]Johanna Schwarz, Dominik Heider:
GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making. Bioinform. 35(14): 2458-2465 (2019) - [j19]Giuliano Armano, Alessandro Giuliani, Ursula Neumann, Nikolas Rothe, Dominik Heider:
Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance. Mach. Learn. Knowl. Extr. 1(1): 121-137 (2019) - [c7]Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CIBCB 2019: 1-10 - [i2]Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer:
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CoRR abs/1903.00719 (2019) - [i1]Sebastian Spänig, Agnes Emberger-Klein, Jan-Peter Sowa, Ali Canbay, Klaus Menrad, Dominik Heider:
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes. CoRR abs/1903.12069 (2019) - 2018
- [j18]Hannah F. Löchel, Mona Riemenschneider, Dmitrij Frishman, Dominik Heider:
SCOTCH: subtype A coreceptor tropism classification in HIV-1. Bioinform. 34(15): 2575-2580 (2018) - 2017
- [j17]Ursula Neumann, Nikita Genze, Dominik Heider:
EFS: an ensemble feature selection tool implemented as R-package and web-application. BioData Min. 10(1): 21:1-21:9 (2017) - [j16]Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider:
eccCL: parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinform. 18(1): 371:1-371:4 (2017) - 2016
- [j15]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) - [j14]Ursula Neumann, Mona Riemenschneider, Jan-Peter Sowa, Theodor Baars, Julia Kälsch, Ali Canbay, Dominik Heider:
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach. BioData Min. 9: 36:1-36:14 (2016) - [j13]Mona Riemenschneider, Thomas Hummel, Dominik Heider:
SHIVA - a web application for drug resistance and tropism testing in HIV. BMC Bioinform. 17: 314 (2016) - [c6]Ursula Neumann, Dominik Heider:
The EFS-Server: A Web-Application for Feature Selection in Binary Classification. KDWeb 2016 - 2014
- [j12]Dominik Heider, Jan Dybowski, Christoph Wilms, Daniel Hoffmann:
A simple structure-based model for the prediction of HIV-1 co-receptor tropism. BioData Min. 7: 14 (2014) - [j11]Michael Olejnik, Michel Steuwer, Sergei Gorlatch, Dominik Heider:
gCUP: rapid GPU-based HIV-1 co-receptor usage prediction for next-generation sequencing. Bioinform. 30(22): 3272-3273 (2014) - 2013
- [j10]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) - [c5]Sascha Hauke, Sebastian Biedermann, Max Mühlhäuser, Dominik Heider:
On the Application of Supervised Machine Learning to Trustworthiness Assessment. TrustCom/ISPA/IUCC 2013: 525-534 - 2012
- [c4]Dominik Heider, Christoph Bartenhagen, Jan Nikolaj Dybowski, Sascha Hauke, Martin Pyka, Daniel Hoffmann:
Unsupervised Dimension Reduction Methods for Protein Sequence Classification. GfKl 2012: 295-302 - [c3]Martin Pyka, Tilo Kircher, Sascha Hauke, Dominik Heider:
The Brain in a Box - An Encoding Scheme for Natural Neural Networks. IJCCI 2012: 196-201 - 2011
- [j9]Jonas Winkler, Giuliano Armano, Jan Nikolaj Dybowski, Oliver Kuhn, Filippo Ledda, Dominik Heider:
Computational Design of a DNA- and Fc-Binding Fusion Protein. Adv. Bioinformatics 2011: 457578:1-457578:7 (2011) - [j8]Dominik Heider, Daniel Hoffmann:
Interpol: An R package for preprocessing of protein sequences. BioData Min. 4: 16 (2011) - [j7]Jan Nikolaj Dybowski, Mona Riemenschneider, Sascha Hauke, Martin Pyka, Jens Verheyen, Daniel Hoffmann, Dominik Heider:
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. BioData Min. 4: 26 (2011) - [j6]Sascha Hauke, Martin Pyka, Dominik Heider:
Group-Agreement as a Reliability Measure for Witness Recommendations in Reputation-Based Trust Protocols. Trans. Comput. Sci. 12: 231-255 (2011) - [p1]Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider:
Reputation-Based Trust Diffusion in Complex Socio-Economic Networks. Information Retrieval and Mining in Distributed Environments 2011: 21-40 - 2010
- [j5]Dominik Heider, Jens Verheyen, Daniel Hoffmann:
Predicting Bevirimat resistance of HIV-1 from genotype. BMC Bioinform. 11: 37 (2010) - [j4]Martin Pyka, Matthias Hertog, Raul Fernandez, Sascha Hauke, Dominik Heider, Udo Dannlowski, Carsten Konrad:
fMRI Data Visualization with BrainBlend and Blender. Neuroinformatics 8(1): 21-31 (2010) - [j3]Jan Nikolaj Dybowski, Dominik Heider, Daniel Hoffmann:
Prediction of Co-Receptor Usage of HIV-1 from Genotype. PLoS Comput. Biol. 6(4) (2010) - [c2]Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider:
Harnessing Recommendations from Weakly Linked Neighbors in Reputation-Based Trust Formation. CW 2010: 163-170 - [c1]Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider:
Augmenting Reputation-Based Trust Metrics with Rumor-Like Dissemination of Reputation Information. SEC 2010: 136-147
2000 – 2009
- 2008
- [b1]Dominik Heider:
DNA based watermarks. University of Münster, 2008 - [j2]Dominik Heider, Daniel Kessler, Angelika Barnekow:
Watermarking sexually reproducing diploid organisms. Bioinform. 24(17): 1961-1962 (2008) - 2007
- [j1]Dominik Heider, Angelika Barnekow:
DNA-based watermarks using the DNA-Crypt algorithm. BMC Bioinform. 8 (2007)
Coauthor Index
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