Georges Hattab

Orcid: 0000-0003-4168-8254

Affiliations:
  • Robert Koch-Institute, Berlin, Germany
  • Philipps University of Marburg, Germany (former)
  • National Center for Tumor Diseases (NCT), Dresden, Germany (former)
  • Bielefeld University, Faculty of Technology, Germany (PhD)


According to our database1, Georges Hattab authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Timeline

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2024
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Links

Online presence:

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Bibliography

2024
Decentralized event-triggered online learning for safe consensus control of multi-agent systems with Gaussian process regression.
Eur. J. Control, 2024

A Nested Model for AI Design and Validation.
CoRR, 2024

Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations.
CoRR, 2024

Decentralized Event-Triggered Online Learning for Safe Consensus of Multi-Agent Systems with Gaussian Process Regression.
CoRR, 2024

Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

AI Readiness in Healthcare through Storytelling XAI.
Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Cooperative Learning with Gaussian Processes for Euler-Lagrange Systems Tracking Control Under Switching Topologies.
Proceedings of the American Control Conference, 2024

2023
Interactive polar diagrams for model comparison.
Comput. Methods Programs Biomed., December, 2023

Secondary Mushroom.
Dataset, August, 2023

Pre-Training to Identify Immunization-Related Entities from Systematic Reviews.
Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval, 2023

Learning-based Control for PMSM Using Distributed Gaussian Processes with Optimal Aggregation Strategy.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2021
Correction: Ten simple rules to colorize biological data visualization.
PLoS Comput. Biol., 2021

Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm.
BMC Medical Imaging, 2021

MOSGA: Modular Open-Source Genome Annotator.
Bioinform., 2021

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform., 2021

2020
Ten simple rules to colorize biological data visualization.
PLoS Comput. Biol., 2020

A case study: impact of target surface mesh size and mesh quality on volume-to-surface registration performance in hepatic soft tissue navigation.
Int. J. Comput. Assist. Radiol. Surg., 2020

Kidney edge detection in laparoscopic image data for computer-assisted surgery.
Int. J. Comput. Assist. Radiol. Surg., 2020

MODELAR: A MODular and EvaLuative framework to improve surgical Augmented Reality visualization.
Proceedings of the 22nd Eurographics Conference on Visualization, 2020

2019
SeeVis - 3D space-time cube rendering for visualization of microfluidics image data.
Bioinform., 2019

2018
Analyzing colony dynamics and visualizing cell diversity in spatiotemporal experiments
PhD thesis, 2018


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