Timo Deist

Orcid: 0000-0003-0057-1535

According to our database1, Timo Deist authored at least 11 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Identifying Properties of Real-World Optimisation Problems Through a Questionnaire.
Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Multi-objective Learning Using HV Maximization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

2021
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.
CoRR, 2021

2020
Identifying Properties of Real-World Optimisation Problems through a Questionnaire.
CoRR, 2020

Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

An end-to-end deep learning approach for landmark detection and matching in medical images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
A Drug Recommendation System (Dr.S) for cancer cell lines.
CoRR, 2019

Simulation-assisted machine learning.
Bioinform., 2019

2015
Distributed Learning to Protect Privacy in Multi-centric Clinical Studies.
Proceedings of the Artificial Intelligence in Medicine, 2015


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