- Philipps-University of Marburg, Germany
According to our database1, Dominik Heider authored at least 51 papers between 2007 and 2023.
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Comput. Methods Programs Biomed., December, 2023
Unsupervised encoding selection through ensemble pruning for biomedical classification.
BioData Min., January, 2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning.
Proceedings of the Machine Learning and Knowledge Extraction, 2023
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records.
Comput. Biol. Medicine, 2022
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning.
Federated Random Forests can improve local performance of predictive models for various healthcare applications.
PLoS Comput. Biol., 2021
BMC Medical Informatics Decis. Mak., 2021
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making.
BioData Min., 2021
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform., 2021
Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads.
BMC Bioinform., 2020
MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors.
Phi-Delta-Diagrams: Software Implementation of a Visual Tool for Assessing Classifier and Feature Performance.
Mach. Learn. Knowl. Extr., 2019
The Virtual Doctor: An Interactive Artificial Intelligence based on Deep Learning for Non-Invasive Prediction of Diabetes.
GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making.
Encodings and models for antimicrobial peptide classification for multi-resistant pathogens.
BioData Min., 2019
The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.
Artif. Intell. Medicine, 2019
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019
BMC Bioinform., 2017
EFS: an ensemble feature selection tool implemented as R-package and web-application.
BioData Min., 2017
BMC Bioinform., 2016
Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.
BioData Min., 2016
Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.
BioData Min., 2016
Proceedings of the 2nd International Workshop on Knowledge Discovery on the WEB, 2016
gCUP: rapid GPU-based HIV-1 co-receptor usage prediction for next-generation sequencing.
BioData Min., 2014
Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistance prediction.
Proceedings of the 12th IEEE International Conference on Trust, 2013
The Brain in a Box - An Encoding Scheme for Natural Neural Networks.
Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012
Proceedings of the Information Retrieval and Mining in Distributed Environments, 2011
Group-Agreement as a Reliability Measure for Witness Recommendations in Reputation-Based Trust Protocols.
Trans. Comput. Sci., 2011
Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers.
BioData Min., 2011
Adv. Bioinformatics, 2011
Augmenting Reputation-Based Trust Metrics with Rumor-Like Dissemination of Reputation Information.
Proceedings of the Security and Privacy - Silver Linings in the Cloud, 2010
Harnessing Recommendations from Weakly Linked Neighbors in Reputation-Based Trust Formation.
Proceedings of the 2010 International Conference on CyberWorlds, 2010