Dominik Heider

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 35

Top Venues

University of Münster (PHD)

Education History

University of Münster

PHD

Publications

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 (2024)
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)
Tiago da Silva, Eliezer 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 (2023)
Sebastian Spänig, Alexander Michel, Dominik Heider
Unsupervised encoding selection through ensemble pruning for biomedical classification. BioData Min. 16 (1) (2023)
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)
Aleksandar Anzel, Dominik Heider, Georges Hattab
Interactive polar diagrams for model comparison. Comput. Methods Programs Biomed. 242 (2023)
Roman Martin, Minh Kien Nguyen, Nick Lowack, Dominik Heider
ODNA: identification of organellar DNA by machine learning. Bioinform. 39 (5) (2023)
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 (2022)
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) (2022)
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) (2022)
Roman Martin, Thomas Hackl, Georges Hattab, Matthias G. Fischer, Dominik Heider
MOSGA: Modular Open-Source Genome Annotator. Bioinform. 36 (22-23) (2021)
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)
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) (2021)
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 (2021)
Georges Hattab, Theresa-Marie Rhyne, Dominik Heider
Correction: Ten simple rules to colorize biological data visualization. PLoS Comput. Biol. 17 (4) (2021)
Mariem Gandouz, Hajo Holzmann, Dominik Heider
Machine learning with asymmetric abstention for biomedical decision-making. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Georges Hattab, Theresa-Marie Rhyne, Dominik Heider
Ten simple rules to colorize biological data visualization. PLoS Comput. Biol. 16 (10) (2020)
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) (2020)
Hannah F. Löchel, Dominic Eger, Theodor Sperlea, Dominik Heider
Deep learning on chaos game representation for proteins. Bioinform. 36 (1) (2020)
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 (2020)
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) (2020)
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) (2019)
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)
Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
FRI-Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CIBCB (2019)
Sebastian Spänig, Dominik Heider
Encodings and models for antimicrobial peptide classification for multi-resistant pathogens. BioData Min. 12 (1) (2019)
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 (2019)
Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration. CoRR (2019)
Johanna Schwarz, Dominik Heider
GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making. Bioinform. 35 (14) (2019)
Hannah F. Löchel, Mona Riemenschneider, Dmitrij Frishman, Dominik Heider
SCOTCH: subtype A coreceptor tropism classification in HIV-1. Bioinform. 34 (15) (2018)
Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider
eccCL: parallelized GPU implementation of Ensemble Classifier Chains. BMC Bioinform. 18 (1) (2017)
Ursula Neumann, Nikita Genze, Dominik Heider
EFS: an ensemble feature selection tool implemented as R-package and web-application. BioData Min. 10 (1) (2017)
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 (2016)
Ursula Neumann, Dominik Heider
The EFS-Server: A Web-Application for Feature Selection in Binary Classification. KDWeb (2016)
Mona Riemenschneider, Thomas Hummel, Dominik Heider
SHIVA - a web application for drug resistance and tropism testing in HIV. BMC Bioinform. 17 (2016)
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 (2016)
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) (2014)
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 (2014)
Sascha Hauke, Sebastian Biedermann, Max Mühlhäuser, Dominik Heider
On the Application of Supervised Machine Learning to Trustworthiness Assessment. TrustCom/ISPA/IUCC (2013)
Dominik Heider, Robin Senge, Weiwei Cheng, Eyke Hüllermeier
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction. Bioinform. 29 (16) (2013)
Martin Pyka, Tilo Kircher, Sascha Hauke, Dominik Heider
The Brain in a Box - An Encoding Scheme for Natural Neural Networks. IJCCI (2012)
Dominik Heider, Christoph Bartenhagen, Jan Nikolaj Dybowski, Sascha Hauke, Martin Pyka, Daniel Hoffmann
Unsupervised Dimension Reduction Methods for Protein Sequence Classification. GfKl (2012)
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 (2011)
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 (2011)
Sascha Hauke, Martin Pyka, Dominik Heider
Group-Agreement as a Reliability Measure for Witness Recommendations in Reputation-Based Trust Protocols. Trans. Comput. Sci. 12 (2011)
Dominik Heider, Daniel Hoffmann
Interpol: An R package for preprocessing of protein sequences. BioData Min. 4 (2011)
Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider
Augmenting Reputation-Based Trust Metrics with Rumor-Like Dissemination of Reputation Information. SEC (2010)
Sascha Hauke, Martin Pyka, Markus Borschbach, Dominik Heider
Harnessing Recommendations from Weakly Linked Neighbors in Reputation-Based Trust Formation. CW (2010)
Jan Nikolaj Dybowski, Dominik Heider, Daniel Hoffmann
Prediction of Co-Receptor Usage of HIV-1 from Genotype. PLoS Comput. Biol. 6 (4) (2010)
Martin Pyka, Matthias Hertog, Raul Fernandez, Sascha Hauke, Dominik Heider, Udo Dannlowski, Carsten Konrad
fMRI Data Visualization with BrainBlend and Blender. Neuroinformatics 8 (1) (2010)
Dominik Heider, Jens Verheyen, Daniel Hoffmann
Predicting Bevirimat resistance of HIV-1 from genotype. BMC Bioinform. 11 (2010)
Dominik Heider, Daniel Kessler, Angelika Barnekow
Watermarking sexually reproducing diploid organisms. Bioinform. 24 (17) (2008)
Dominik Heider, Angelika Barnekow
DNA-based watermarks using the DNA-Crypt algorithm. BMC Bioinform. 8 (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dominik Heider