Distributed Learning to Protect Privacy in Multi-centric Clinical Studies. - Andrea Damiani; Mauro Vallati; Roberto Gatta; Nicola Dinapoli; Arthur Jochems; Timo Deist; Johan van Soest; Andre Dekker; Vincenzo Valentini (AIME, 2015)

Simulation-assisted machine learning. - Timo Deist; Andrew Patti; Zhaoqi Wang; David Krane; Taylor Sorenson; David Craft (Bioinform., 2019)

A Drug Recommendation System (Dr.S) for cancer cell lines. - Marleen Balvert; Georgios Patoulidis; Andrew Patti; Timo M. Deist; Christine Eyler; Bas E. Dutilh; Alexander Schönhuth; David Craft (CoRR, 2019)

Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems. - Koen van der Blom; Timo M. Deist; Tea Tusar; Mariapia Marchi; Yusuke Nojima; Akira Oyama; Vanessa Volz; Boris Naujoks (GECCO Companion, 2020)

An end-to-end deep learning approach for landmark detection and matching in medical images. - Monika Grewal; Timo M. Deist; Jan Wiersma; Peter A. N. Bosman; Tanja Alderliesten (Image Processing, 2020)

Multi-objective Optimization by Uncrowded Hypervolume Gradient Ascent. - Timo M. Deist; Stefanus C. Maree; Tanja Alderliesten; Peter A. N. Bosman (PPSN (2), 2020)

Identifying Properties of Real-World Optimisation Problems through a Questionnaire. - Koen van der Blom; Timo M. Deist; Vanessa Volz; Mariapia Marchi; Yusuke Nojima; Boris Naujoks; Akira Oyama; Tea Tusar (CoRR, 2020)

Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization. - Timo M. Deist; Monika Grewal; Frank J. W. M. Dankers; Tanja Alderliesten; Peter A. N. Bosman (CoRR, 2021)

Hybridizing Hypervolume-Based Evolutionary Algorithms and Gradient Descent by Dynamic Resource Allocation. - Damy M. F. Ha; Timo M. Deist; Peter A. N. Bosman (PPSN (2), 2022)

Multi-objective Learning Using HV Maximization. - Timo M. Deist; Monika Grewal; Frank J. W. M. Dankers; Tanja Alderliesten; Peter A. N. Bosman (EMO, 2023)

Identifying Properties of Real-World Optimisation Problems Through a Questionnaire. - Koen van der Blom; Timo M. Deist; Vanessa Volz; Mariapia Marchi; Yusuke Nojima; Boris Naujoks; Akira Oyama; Tea Tusar (Many-Criteria Optimization and Decision Analysis, 2023)