Mark Hoogendoorn

Vrije Universiteit Amsterdam — Netherlands

Computer Science · Physical Sciences

29h-index4.1kcitations326works2.02yr avg
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Research Topics

Multi-Agent Systems and Negotiation(40), Mental Health Research Topics(32), Digital Mental Health Interventions(27), Business Process Modeling and Analysis(24), Logic, Reasoning, and Knowledge(24)

Publications326 total

Leveraging weights signals -- Predicting and improving generalizability in reinforcement learning
ArXiv.org·2025Open Access
Explainable machine learning for discontinuation of therapeutic antibiotics in intensive care patients
Journal of Critical Care·2025· 1 citedOpen Access
A Framework for Applying Natural Language Processing in Digital Health Interventions
UNC Libraries·2025Open Access
External validation of <scp>QUiPP</scp> App in three independent European cohorts of symptomatic women
Ultrasound in Obstetrics and Gynecology·2025Open Access
The Value of Oxygenation Vital Signs in Machine Learning Prediction of Neurodevelopmental Outcomes in Preterm Infants
IEEE Journal of Biomedical and Health Informatics·2025Open Access
Analyzing Latent Entropy in Deep Q-Learning
2025Open Access
PROMIS-driven convalescence: Clustering patients' trajectories of physical functioning following surgery
Advances in Patient-Reported Outcomes·2025Open Access
Recovery Patterns
Annals of Surgery·2025Open Access
Machine learning models for neurocognitive outcome prediction in preterm born infants
Pediatric Research·2025· 1 cited
Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications
arXiv (Cornell University)·2025Open Access
Joint Demapping of QAM and APSK Constellations Using Machine Learning
IEEE Open Journal of the Communications Society·2025· 1 citedOpen Access
Causal Deep Learning to Personalize Medicine; Which Intensive Care Patients with Sepsis Will Benefit from High Dose Corticosteroid Therapy?
SSRN Electronic Journal·2025Open Access
Generalizability of AI Survival Models in the Context of Preterm Birth Prediction
Lecture notes in computer science·2025Open Access
Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence
Lecture notes in computer science·2025Open Access
Associations of Clinical Characteristics With Sudden Cardiac Arrest in People With Type 2 Diabetes With and Without Cardiovascular Disease: A Longitudinal Case-Control Study Using Routine Primary Care Data
Diabetes Care·2024Open Access
&lt;b&gt;The associations of clinical characteristics with sudden cardiac arrest in people with type 2 diabetes with and without cardiovascular disease: a longitudinal case-control study using routine primary care data&lt;/b&gt;
2024Open Access
&lt;b&gt;The associations of clinical characteristics with sudden cardiac arrest in people with type 2 diabetes with and without cardiovascular disease: a longitudinal case-control study using routine primary care data&lt;/b&gt;
2024Open Access
The dutch draw: constructing a universal baseline for binary classification problems
Journal of Applied Probability·2024· 2 citedOpen Access
Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data
BMJ Paediatrics Open·2024· 2 citedOpen Access
Hadamard Representations: Augmenting Hyperbolic Tangents in RL
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Jan Treur(15), Tibor Bosse(7), Michel Klein(6), Burkhardt Funk(6), Heleen Riper(6), Armand R. J. Girbes(5), Patrick Thoral(5), Paul Elbers(5), Lucas M. Fleuren(4), C. Natalie van der Wal(4), Ali el Hassouni(4), Catholijn M. Jonker(4), Ward van Breda(4), Jeroen Ruwaard(4), Arlette van Wissen(3), Peter Szolovits(3), Dennis Becker(3), Michele Tonutti(3), Daan P. de Bruin(3), Mattia Fornasa(3)