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Aleksandar Anžel

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Deputy Group Leader

Robert Koch Institute

Germany

Research Interests

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Professors in Germany Professors in Microbiology Microbiology professors in Germany

Recent Grants

Grant: Open

Molecular Embedding via Low-Distortions for AMR (MELD4AMR)

Open Date: 2026-11-01

Close Date: 2029-11-01

Articles (20)

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Collaborators (6)

Helen Hughes

UK Health Security Agency

UNITED KINGDOM

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Akshat Dubey

Research Associate

Robert Koch Institute

GERMANY

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Georges Hattab

Research Group Leader

Robert Koch Institute

GERMANY

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Dominik Heider

Diretor

University of Münster

GERMANY

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J. D. Kong

York University

CANADA

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Hugues Richard

Associate Professor (on leave)

Sorbonne Université

FRANCE

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Aleksandar Anžel

Research Interests

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Recent Grants

Articles (20)

The State of Peptide Detectability in Computational Proteomics and Guidelines for AI Applications

Network-based characterization of latent co-testing patterns in antimicrobial susceptibility testing

PepTriX: A framework for explainable peptide analysis through protein language models

UbiQVision: Spatial Dempster–Shafer fusion of XAI attributions for reliable deep vision ensembles

Limitations of interaction techniques in modern radial chart implementations

The Open Syndrome Definition as a Machine-Readable Standard for Public Health: Design and Implementation Study

Evaluating ensemble learning approaches for horizontal gene transfer detection

A safety-centric perspective on innovation and risk in the use of artificial intelligence in genomics

UbiQTree: Uncertainty quantification in XAI with tree ensembles

Advocating the potential of artificial intelligence for syndrome discovery in syndromic surveillance systems: A scoping review

A multi-technique approach for improving summary polar diagrams

Genomic data representations for horizontal gene transfer detection

Protocol for implementing the nested model for AI design and validation in compliance with AI regulations

Current state and future prospects of Horizontal Gene Transfer detection.

Persona Adaptable Strategies Make Large Language Models Tractable

Interpretable molecular encodings and representations for machine learning tasks

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations

A parametric approach for molecular encodings using multilevel atomic neighborhoods applied to peptide classification

Interactive polar diagrams for model comparison

A Tale of Two Approaches: Comparing Top-Down and Bottom-Up Strategies for Analyzing and Visualizing High-Dimensional Data

Collaborators (6)

Helen Hughes

Akshat Dubey

Georges Hattab

Dominik Heider

J. D. Kong

Hugues Richard

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