Mark Hoogendoorn
Vrije Universiteit Amsterdam(NL)
Publications by Year
Research Areas
Multi-Agent Systems and Negotiation, Mental Health Research Topics, Digital Mental Health Interventions, Business Process Modeling and Analysis, Logic, Reasoning, and Knowledge
Most-Cited Works
- → Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy(2020)693 cited
- → Parameter Control in Evolutionary Algorithms: Trends and Challenges(2014)485 cited
- → Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions(2012)144 cited
- → Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer(2016)70 cited
- → Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations(2016)63 cited
- → Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records(2016)60 cited
- → The Triangle of Life: Evolving Robots in Real-time and Real-space(2013)58 cited
- → Generic parameter control with reinforcement learning(2014)57 cited
- → A Framework for Applying Natural Language Processing in Digital Health Interventions(2020)54 cited
- → Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances(2021)52 cited