Nico Pfeifer
Orcid: 0000-0002-4647-8566Affiliations:
- University of Tübingen, Wilhelm-Schickard-Institute for Computer Science, Germany
- Max Planck Institute for Informatics, Saarbrücken, Computer
According to our database1,
Nico Pfeifer
authored at least 39 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
Insights to HIV-1 coreceptor usage by estimating HLA adaptation with Bayesian generalized linear mixed models.
PLoS Comput. Biol., December, 2023
Predicting functional effects of ion channel variants using new phenotypic machine learning methods.
PLoS Comput. Biol., March, 2023
Bioinform., January, 2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach.
CoRR, 2023
PlasmoFAB: A Benchmark to Foster Machine Learning for Plasmodium falciparum Protein Antigen Candidate Prediction.
CoRR, 2023
PlasmoFAB: a benchmark to foster machine learning for <i>Plasmodium falciparum</i> protein antigen candidate prediction.
Bioinform., 2023
COmic: convolutional kernel networks for interpretable end-to-end learning on (multi-)omics data.
Bioinform., 2023
ppAURORA: Privacy Preserving Area Under Receiver Operating Characteristic and Precision-Recall Curves.
Proceedings of the Network and System Security - 17th International Conference, 2023
2022
Bringing the Algorithms to the Data - Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC).
CoRR, 2022
2021
CoRR, 2021
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework.
Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020
Privacy-preserving SVM on Outsourced Genomic Data via Secure Multi-party Computation.
Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020
2019
web-rMKL: a web server for dimensionality reduction and sample clustering of multi-view data based on unsupervised multiple kernel learning.
Nucleic Acids Res., 2019
Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data.
Bioinform., 2019
A Framework with Randomized Encoding for a Fast Privacy Preserving Calculation of Non-linear Kernels for Machine Learning Applications in Precision Medicine.
Proceedings of the Cryptology and Network Security - 18th International Conference, 2019
2018
geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data.
Nucleic Acids Res., 2018
An interpretable multiple kernel learning approach for the discovery of integrative cancer subtypes.
CoRR, 2018
XplOit: An Ontology-Based Data Integration Platform Supporting the Development of Predictive Models for Personalized Medicine.
Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018
2017
Prediction of HIV-1 sensitivity to broadly neutralizing antibodies shows a trend towards resistance over time.
PLoS Comput. Biol., 2017
Towards Multiple Kernel Principal Component Analysis for Integrative Analysis of Tumor Samples.
J. Integr. Bioinform., 2017
Genetic sequence-based prediction of long-range chromatin interactions suggests a potential role of short tandem repeat sequences in genome organization.
BMC Bioinform., 2017
All Fingers Are Not the Same: Handling Variable-Length Sequences in a Discriminative Setting Using Conformal Multi-Instance Kernels.
Proceedings of the 17th International Workshop on Algorithms in Bioinformatics, 2017
2015
Identification and analysis of methylation call differences between bisulfite microarray and bisulfite sequencing data with statistical learning techniques.
BMC Bioinform., 2015
Integrating different data types by regularized unsupervised multiple kernel learning with application to cancer subtype discovery.
Bioinform., 2015
2014
Proceedings of the Algorithms in Bioinformatics - 14th International Workshop, 2014
2012
Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data.
Bioinform., 2012
2009
PhD thesis, 2009
2008
BMC Bioinform., 2008
BMC Bioinform., 2008
Proceedings of the Algorithms in Bioinformatics, 8th International Workshop, 2008
2007
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics.
BMC Bioinform., 2007
2005
Bioinform., 2005