Design of supplier agents for an auction-based market. - Stefan Botman; Mark Hoogendoorn; Vasile Bud; Ashutosh Jaiswal; Steve Hawkins; Yelena Kryzhnyaya; Janice L. Pearce; Anne Scholcraft; Espen Sigvartsen; John Collins; Maria L. Gini (AOIS@AAMAS, 2002)

Formal Analysis of Empirical Traces in Incident Management. - Mark Hoogendoorn; Catholijn M. Jonker; Savas Konur; Peter-Paul van Maanen; Viara Popova; Alexei Sharpanskykh; Jan Treur; Lai Xu 001; Pinar Yolum (SGAI Conf. (Applications), 2004)

An Agent-Based Meta-level Architecture for Strategic Reasoning in Naval Planning. - Mark Hoogendoorn; Catholijn M. Jonker; Peter-Paul van Maanen; Jan Treur (AOIS, 2005)

A Meta-Level Architecture for Strategic Reasoning in Naval Planning (extended abstract). - Mark Hoogendoorn; Catholijn M. Jonker; Peter-Paul van Maanen; Jan Treur (BNAIC, 2005)

A Labeled Graph Approach to Support Analysis of Organizational Performance. - Mark Hoogendoorn; Jan Treur; Pinar Yolum (BNAIC, 2005)

A Meta-level Architecture for Strategic Reasoning in Naval Planning. - Mark Hoogendoorn; Catholijn M. Jonker; Peter-Paul van Maanen; Jan Treur (IEA/AIE, 2005)

The Distributed Weighing Problem: A Lesson in Cooperation Without Communication. - Tibor Bosse; Mark Hoogendoorn; Catholijn M. Jonker (MATES, 2005)

Redesign of Organizations as a Basis for Organizational Change. - Mark Hoogendoorn; Catholijn M. Jonker; Jan Treur (COIN@AAMAS/ECAI, 2006)

Agent-Based Analysis and Support for Incident Management. - Mark Hoogendoorn; Catholijn M. Jonker; Jan Treur; Marian Verhaegh (CIA, 2006)

Automated Evaluation of Coordination Approaches. - Tibor Bosse; Mark Hoogendoorn; Jan Treur (COORDINATION, 2006)

A Labeled Graph Approach to Analyze Organizational Performance. - Mark Hoogendoorn; Jan Treur; Pinar Yolum (IAT, 2006)

Formation of Virtual Organizations Through Negotiation. - Mark Hoogendoorn; Catholijn M. Jonker (MATES, 2006)

Decentralized task allocation using magnet: an empirical evaluation in the logistics domain. - Mark Hoogendoorn; Maria L. Gini; Catholijn M. Jonker (ICEC, 2007)

Specification of Adaptive Client-Tailored Product Models. - Tibor Bosse; Fiemke Both; Mark Hoogendoorn; Jan Treur (IEEE SCW, 2007)

Model-Based Reasoning Methods within an Ambient Intelligent Agent Model. - Tibor Bosse; Fiemke Both; Charlotte Gerritsen; Mark Hoogendoorn; Jan Treur (AmI Workshops, 2007)

An Agent-Based Generic Model for Human-Like Ambience. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (AmI Workshops, 2007)

Model-Based Default Refinement of Partial Information within an Ambient Agent. - Fiemke Both; Charlotte Gerritsen; Mark Hoogendoorn; Jan Treur (AmI Workshops, 2007)

Formal Design and Simulation of an Ambient Multi-agent System Model for Medicine Usage Management. - Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (AmI Workshops, 2007)

Modeling Decentralized Organizational Change in Honeybee Societies. - Mark Hoogendoorn; Martijn C. Schut; Jan Treur (ECAL, 2007)

A Specification Language for Coordination in Agent Systems. - Tibor Bosse; Mark Hoogendoorn; Radu Serban; Jan Treur (IAT, 2007)

Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks. - Mark Hoogendoorn (IJCAI, 2007)

Modeling centralized organization of organizational change. - Mark Hoogendoorn; Catholijn M. Jonker; Martijn C. Schut; Jan Treur (Comput. Math. Organ. Theory, 2007)

An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task Progress. - Fiemke Both; Mark Hoogendoorn; Jan Treur (AmI, 2008)

Analysis and Support of Organizational Performance Based on a Labeled Graph Approach. - Mark Hoogendoorn; Jan Treur; Pinar Yolum (ATOP@AAMAS, 2008)

Formal Analysis of Intelligent Agents for Model-Based Medicine Usage Management. - Mark Hoogendoorn; Michel C. A. Klein; Zulfiqar Ali Memon; Jan Treur (HEALTHINF (1), 2008)

Formal Verification of an Agent-Based Support System for Medicine Intake. - Mark Hoogendoorn; Michel C. A. Klein; Zulfiqar Ali Memon; Jan Treur (BIOSTEC (Selected Papers), 2008)

Modeling Dynamics of Relative Trust of Competitive Information Agents. - Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (CIA, 2008)

Agent-Based and Population-Based Simulation of Displacement of Crime (extended abstract). - Tibor Bosse; Charlotte Gerritsen; Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (ECAI, 2008)

Modeling the Dynamics of Mood and Depression. - Fiemke Both; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (ECAI, 2008)

Agents Preferences in Decentralized Task Allocation. - Mark Hoogendoorn; Maria L. Gini (ECAI, 2008)

Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime. - Tibor Bosse; Charlotte Gerritsen; Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (IAT, 2008)

An Ambient Intelligent Agent with Awareness of Human Task Execution. - Fiemke Both; Mark Hoogendoorn; Andy van der Mee; Michael de Vos (IAT, 2008)

An Ambient Intelligent Agent Model Using Controlled Model-Based Reasoning to Determine Causes and Remedies for Monitored Problems. - Rob Duell; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (Web Intelligence/IAT Workshops, 2008)

Ontology-Based Business Activity Monitoring Agent. - Duco N. Ferro; Mark Hoogendoorn; Catholijn M. Jonker (IAT, 2008)

Model-based ambient analysis of human task execution. - Fiemke Both; Mark Hoogendoorn; Jan Treur (PETRA, 2008)

Online application for simulating intelligent support for medicine intake. - Mark Hoogendoorn; Michel C. A. Klein; Borre Mosch (PETRA, 2008)

A Component-Based Ambient Agent Model for Assessment of Driving Behaviour. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (UIC, 2008)

Formal analysis of empirical traces in incident management. - Mark Hoogendoorn; Catholijn M. Jonker; Peter-Paul van Maanen; Alexei Sharpanskykh (Reliab. Eng. Syst. Saf., 2008)

Automated Analysis of Auction Traces. - Mark Hoogendoorn; Maria L. Gini (AMEC/TADA, 2009)

Design and Analysis of an Ambient Intelligent System Supporting Depression Therapy. - Fiemke Both; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (HEALTHINF, 2009)

The Influence of Personalities Upon the Dynamics of Trust and Reputation. - Mark Hoogendoorn; S. Waqar Jaffry (CSE (3), 2009)

Avoidance of Norm Violation in Multi-Agent Organizations. - Charlotte Gerritsen; Mark Hoogendoorn (ECMS, 2009)

A Generic Personal Assistant Agent Model for Support in Demanding Tasks. - Tibor Bosse; Rob Duell; Mark Hoogendoorn; Michel C. A. Klein; Rianne van Lambalgen; Andy van der Mee; Rogier Oorburg; Alexei Sharpanskykh; Jan Treur; Michael de Vos (HCI (16), 2009)

An Adaptive Agent Model Estimating Human Trust in Information Sources. - Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (IAT, 2009)

An Ecological Model-Based Reasoning Model to Support Nature Park Managers. - Mark Hoogendoorn; Jan Treur; Muhammad Umair (IEA/AIE, 2009)

Adaptation and Validation of an Agent Model of Functional State and Performance for Individuals. - Fiemke Both; Mark Hoogendoorn; S. Waqar Jaffry; Rianne van Lambalgen; Rogier Oorburg; Alexei Sharpanskykh; Jan Treur; Michael de Vos (PRIMA, 2009)

Preferences of agents in decentralized task allocation. - Mark Hoogendoorn; Maria L. Gini (AI Commun., 2009)

Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning. - Mark Hoogendoorn; Catholijn M. Jonker; Peter-Paul van Maanen; Jan Treur (Knowl. Based Syst., 2009)

An adaptive multi-agent organization model based on dynamic role allocation. - Mark Hoogendoorn; Jan Treur (Int. J. Knowl. Based Intell. Eng. Syst., 2009)

Evaluation of virtual agents utilizing theory of mind in a real time action game. - Mark Hoogendoorn; Jeremy Soumokil (AAMAS, 2010)

Towards Fully Automated Psychotherapy for Adults - BAS - Behavioral Activation Scheduling Via Web and Mobile Phone. - Fiemke Both; Pim Cuijpers; Mark Hoogendoorn; Michel C. A. Klein (HEALTHINF, 2010)

An Intelligent Support System for Diabetic Patients. - Mark Hoogendoorn; Michel C. A. Klein; Nataliya M. Mogles (HEALTHINF, 2010)

An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning. - Tibor Bosse; Mark Hoogendoorn; Zulfiqar Ali Memon; Jan Treur; Muhammad Umair (Brain Informatics, 2010)

Computational Modeling and Analysis of Therapeutical Interventions for Depression. - Fiemke Both; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (Brain Informatics, 2010)

Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking. - Mark Hoogendoorn; Jan Treur; C. Natalie van der Wal; Arlette van Wissen (Brain Informatics, 2010)

An Agent-Based Modeling Approach to Investigate Emergent Patterns in Ecological Systems. - Jacintha Ellers; Mark Hoogendoorn; David Wendt (IAT, 2010)

Exploration and Exploitation in Adaptive Trust-Based Decision Making in Dynamic Environments. - Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (IAT, 2010)

An Agent Model for Decision Making Based upon Experiences Applied in the Domain of Fighter Pilots. - Mark Hoogendoorn; Robbert-Jan Merk; Jan Treur (IAT, 2010)

An Agent-Based Model for the Interplay of Information and Emotion in Social Diffusion. - Mark Hoogendoorn; Jan Treur; C. Natalie van der Wal; Arlette van Wissen (IAT, 2010)

A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (ICCCI (1), 2010)

Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression. - Fiemke Both; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (ICONIP (1), 2010)

Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social Neuroscience. - Mark Hoogendoorn; Jan Treur; C. Natalie van der Wal; Arlette van Wissen (ICONIP (1), 2010)

Incorporating Interdependency of Trust Values in Existing Trust Models for Trust Dynamics. - Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (IFIPTM, 2010)

A Model-Based Ambient Agent Providing Support in Handling Desire and Temptation. - Mark Hoogendoorn; Zulfiqar Ali Memon; Jan Treur; Muhammad Umair (PAAMS (Special Sessions and Workshops), 2010)

Performance Measures to Enable Agent-Based Support in Demanding Circumstances. - Fiemke Both; Mark Hoogendoorn; Rianne van Lambalgen; Rogier Oorburg; Michael de Vos (HCI (20), 2011)

Moving Target Search Using Theory of Mind. - Ard C. M. Al; Mark Hoogendoorn (IAT, 2011)

Modeling and Validation of Biased Human Trust. - Mark Hoogendoorn; S. Waqar Jaffry; Peter-Paul van Maanen; Jan Treur (IAT, 2011)

An Agent-Based Architecture for Model-Based Diagnosis Using Observation Cost. - Mark Hoogendoorn; Bas W. Knopper; Andy van der Mee (IAT, 2011)

Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients. - Fiemke Both; Mark Hoogendoorn (ICONIP (3), 2011)

Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental States. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur; C. Natalie van der Wal (IEA/AIE (2), 2011)

Validation and Verification of Agent Models for Trust: Independent Compared to Relative Trust. - Mark Hoogendoorn; S. Waqar Jaffry; Peter-Paul van Maanen (IFIPTM, 2011)

Modeling Situation Awareness in Human-Like Agents Using Mental Models. - Mark Hoogendoorn; Rianne van Lambalgen; Jan Treur (IJCAI, 2011)

Learning Belief Connections in a Model for Situation Awareness. - Maria L. Gini; Mark Hoogendoorn; Rianne van Lambalgen (PRIMA, 2011)

An Integrated Agent Model Addressing Situation Awareness and Functional State in Decision Making. - Mark Hoogendoorn; Rianne van Lambalgen; Jan Treur (PRIMA, 2011)

A generic architecture for redesign of organizations triggered by changing environmental circumstances. - Mark Hoogendoorn; Catholijn M. Jonker; Jan Treur (Comput. Math. Organ. Theory, 2011)

Design and Validation of a Model for a Human's Functional State and Performance. - Tibor Bosse; Fiemke Both; Mark Hoogendoorn; S. Waqar Jaffry; Rianne van Lambalgen; Rogier Oorburg; Alexei Sharpanskykh; Jan Treur; Michael de Vos (Int. J. Model. Simul. Sci. Comput., 2011)

An ambient agent model for monitoring and analysing dynamics of complex human behaviour. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur (J. Ambient Intell. Smart Environ., 2011)

Agent-Based Modelling of the Emergence of Collective States Based on Contagion of Individual States in Groups. - Mark Hoogendoorn; Jan Treur; C. Natalie van der Wal; Arlette van Wissen (Trans. Comput. Collect. Intell., 2011)

Agent-based vs. population-based simulation of displacement of crime: A comparative study. - Tibor Bosse; Charlotte Gerritsen; Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (Web Intell. Agent Syst., 2011)

Validation of a Model for Coping and Mood for Virtual Agents. - Fiemke Both; Mark Hoogendoorn; Michel C. A. Klein (IAT, 2012)

Action Selection Using Theory of Mind: A Case Study in the Domain of Fighter Pilot Training. - Mark Hoogendoorn; Robbert-Jan Merk (IEA/AIE, 2012)

On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments. - Berend Weel; Mark Hoogendoorn; A. E. Eiben (PPSN (2), 2012)

An intelligent agent model with awareness of workflow progress. - Fiemke Both; Mark Hoogendoorn; Andy van der Mee; Jan Treur; Michael de Vos (Appl. Intell., 2012)

A computational model for dynamics of desiring and feeling. - Tibor Bosse; Mark Hoogendoorn; Zulfiqar Ali Memon; Jan Treur; Muhammad Umair (Cogn. Syst. Res., 2012)

Cognitive and neural modeling of dynamics of trust in competitive trustees. - Mark Hoogendoorn; S. Waqar Jaffry; Jan Treur (Cogn. Syst. Res., 2012)

Methods for model-based reasoning within agent-based Ambient Intelligence applications. - Tibor Bosse; Fiemke Both; Charlotte Gerritsen; Mark Hoogendoorn; Jan Treur (Knowl. Based Syst., 2012)

A Model of Team Decision Making Using Situation Awareness. - Mark Hoogendoorn; Pieter Huibers; Rianne van Lambalgen; Jan Joris Roessingh (Modern Advances in Intelligent Systems and Tools, 2012)

Why parameter control mechanisms should be benchmarked against random variation. - Giorgos Karafotias; Mark Hoogendoorn; A. E. Eiben (IEEE Congress on Evolutionary Computation, 2013)

The Triangle of Life. - Ágoston E. Eiben; Nicolas Bredèche; Mark Hoogendoorn; Jürgen Stradner; Jon Timmis; Andy M. Tyrrell; Alan F. T. Winfield (ECAL, 2013)

Parameter control: strategy or luck? - Giorgos Karafotias; Mark Hoogendoorn; A. E. Eiben (GECCO (Companion), 2013)

Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks. - Mark Hoogendoorn (IEA/AIE, 2013)

Learning Parameters for a Cognitive Model on Situation Awareness. - Richard Koopmanschap; Mark Hoogendoorn; Jan Joris Roessingh (IEA/AIE, 2013)

Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions. - Tibor Bosse; Mark Hoogendoorn; Michel C. A. Klein; Jan Treur; C. Natalie van der Wal; Arlette van Wissen (Auton. Agents Multi Agent Syst., 2013)

Special Issue "Technology for Mental Health". - Pietro Cipresso; Mark Hoogendoorn; Michel C. A. Klein; Aleksandar Matic (EAI Endorsed Trans. Ambient Syst., 2013)

Utilizing theory of mind for action selection applied in the domain of fighter pilot training. - Mark Hoogendoorn; Robbert-Jan Merk (Appl. Intell., 2013)

Formal specification and analysis of intelligent agents for model-based medicine usage management. - Mark Hoogendoorn; Michel C. A. Klein; Zulfiqar Ali Memon; Jan Treur (Comput. Biol. Medicine, 2013)

An ambient agent system assisting humans in complex tasks by analysis of a human's state and performance. - Tibor Bosse; Fiemke Both; Rob Duell; Mark Hoogendoorn; Michel C. A. Klein; Rianne van Lambalgen; Andy van der Mee; Rogier Oorburg; Alexei Sharpanskykh; Jan Treur; Michael de Vos (Int. J. Intell. Inf. Database Syst., 2013)

Modelling biased human trust dynamics. - Mark Hoogendoorn; S. Waqar Jaffry; Peter-Paul van Maanen; Jan Treur (Web Intell. Agent Syst., 2013)

Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records. - Mark Hoogendoorn; Leon M. G. Moons; Mattijs E. Numans; Robert-Jan Sips (Brain Informatics and Health, 2014)

Comparing generic parameter controllers for EAs. - Giorgos Karafotias; Mark Hoogendoorn; Berend Weel (FOCI, 2014)

Generic parameter control with reinforcement learning. - Giorgos Karafotias; Ágoston E. Eiben; Mark Hoogendoorn (GECCO, 2014)

Agent-Based Modeling of Farming Behavior: A Case Study for Milk Quota Abolishment. - Diti Oudendag; Mark Hoogendoorn; Roel Jongeneel (IEA/AIE (1), 2014)

Co-evolutionary Learning for Cognitive Computer Generated Entities. - Xander Wilcke; Mark Hoogendoorn; Jan Joris Roessingh (IEA/AIE (2), 2014)

A Personalized Support Agent for Depressed Patients: Forecasting Patient Behavior Using a Mood and Coping Model. - Reinier Kop; Mark Hoogendoorn; Michel C. A. Klein (WI-IAT (3), 2014)

Design and validation of a relative trust model. - Mark Hoogendoorn; Syed Waqar Jaffry; Peter-Paul van Maanen; Jan Treur (Knowl. Based Syst., 2014)

An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care. - Ward R. J. van Breda; Mark Hoogendoorn; A. E. Eiben; Matthias Berking 002 (AIME, 2015)

On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer. - Reinier Kop; Mark Hoogendoorn; Leon M. G. Moons; Mattijs E. Numans; Annette ten Teije (AIME, 2015)

Evaluating Reward Definitions for Parameter Control. - Giorgos Karafotias; Mark Hoogendoorn; A. E. Eiben (EvoApplications, 2015)

Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious Games. - Reinier Kop; Armon Toubman; Mark Hoogendoorn; Jan Joris Roessingh (IEA/AIE, 2015)

Using Evolutionary Algorithms to Personalize Controllers in Ambient Intelligence. - Shu Gao; Mark Hoogendoorn (ISAmI, 2015)

Special issue on advances in applied artificial intelligence. - Tibor Bosse; Mark Hoogendoorn (Appl. Intell., 2015)

Tailoring a cognitive model for situation awareness using machine learning. - Richard Koopmanschap; Mark Hoogendoorn; Jan Joris Roessingh (Appl. Intell., 2015)

Parameter Control in Evolutionary Algorithms: Trends and Challenges. - Giorgos Karafotias; Mark Hoogendoorn; Ágoston E. Eiben (IEEE Trans. Evol. Comput., 2015)

Prediction using patient comparison vs. modeling: A case study for mortality prediction. - Mark Hoogendoorn; Ali el Hassouni; Kwongyen Mok; Marzyeh Ghassemi; Peter Szolovits (EMBC, 2016)

A feature representation learning method for temporal datasets. - Ward R. J. van Breda; Mark Hoogendoorn; A. E. Eiben; Gerhard Andersson; Heleen Riper; Jeroen Ruwaard; Kristofer Vernmark (SSCI, 2016)

Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer. - Mark Hoogendoorn; Peter Szolovits; Leon M. G. Moons; Mattijs E. Numans (Artif. Intell. Medicine, 2016)

Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records. - Reinier Kop; Mark Hoogendoorn; Annette ten Teije; Frederike L. Büchner; Pauline Slottje; Leon M. G. Moons; Mattijs E. Numans (Comput. Biol. Medicine, 2016)

Using recurrent neural networks to predict colorectal cancer among patients. - Ryan Amirkhan; Mark Hoogendoorn; Mattijs E. Numans; Leon M. G. Moons (SSCI, 2017)

Assessment of temporal predictive models for health care using a formal method. - Ward van Breda; Mark Hoogendoorn; A. E. Eiben; Matthias Berking 002 (Comput. Biol. Medicine, 2017)

Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations. - Mark Hoogendoorn; Thomas Berger; Ava Schulz; Timo Stolz; Peter Szolovits (IEEE J. Biomed. Health Informatics, 2017)

Predicting Appliance Usage Status In Home Like Environments. - Jie Jiang 011; Mark Hoogendoorn; Qiuqiang Kong; Diederik M. Roijers; Nigel Gilbert (DSP, 2018)

Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator. - Ali el Hassouni; Mark Hoogendoorn; Vesa Muhonen (PRIMA, 2018)

Personalization of Health Interventions Using Cluster-Based Reinforcement Learning. - Ali el Hassouni; Mark Hoogendoorn; Martijn van Otterlo; Eduardo Barbaro (PRIMA, 2018)

Narrowing Reinforcement Learning: Overcoming the Cold Start Problem for Personalized Health Interventions. - Seyed Amin Tabatabaei; Mark Hoogendoorn; Aart van Halteren (PRIMA, 2018)

Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing. - Eoin Martino Grua; Mark Hoogendoorn (SSCI, 2018)

Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset. - Jan Klein 004; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei; Raymond Hinfelaar (WI, 2018)

Machine Learning for the Quantified Self - On the Art of Learning from Sensory Data - Mark Hoogendoorn; Burkhardt Funk (Springer, 2018)

Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. - Xixi Lu 001; Seyed Amin Tabatabaei; Mark Hoogendoorn; Hajo A. Reijers (BPM, 2019)

Identifying Patient Groups based on Frequent Patterns of Patient Samples. - Seyed Amin Tabatabaei; Xixi Lu 001; Mark Hoogendoorn; Hajo A. Reijers (HealthCom, 2019)

Detecting Fraudulent Bookings of Online Travel Agencies with Unsupervised Machine Learning. - Caleb Mensah; Jan Klein 004; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (IEA/AIE, 2019)

A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance. - Luis P. Silvestrin; Mark Hoogendoorn; Ger Koole (SSCI, 2019)

Generation of Human-Like Movements Based on Environmental Features. - Alessandro Zonta; Selmar K. Smit; Mark Hoogendoorn; A. E. Eiben (SSCI, 2019)

CluStream-GT: Online Clustering for Personalization in the Health Domain. - Eoin Martino Grua; Mark Hoogendoorn; Ivano Malavolta; Patricia Lago; A. E. Eiben (WI, 2019)

End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. - Ali el Hassouni; Mark Hoogendoorn; A. E. Eiben; Martijn van Otterlo; Vesa Muhonen (WI, 2019)

Reinforcement Learning for Personalized Dialogue Management. - Floris den Hengst; Mark Hoogendoorn; Frank van Harmelen; Joost Bosman 001 (WI, 2019)

GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care. - Mark Hoogendoorn; Ward van Breda; Jeroen Ruwaard (WI, 2019)

Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data. - David W. Romero; Mark Hoogendoorn (ICLR, 2020)

Attentive Group Equivariant Convolutional Networks. - David W. Romero; Erik J. Bekkers; Jakub M. Tomczak; Mark Hoogendoorn (ICML, 2020)

Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. - Ali el Hassouni; Mark Hoogendoorn; A. E. Eiben; Vesa Muhonen (LOD (1), 2020)

Estimating the F1 Score for Learning from Positive and Unlabeled Examples. - Seyed Amin Tabatabaei; Jan Klein 004; Mark Hoogendoorn (LOD (1), 2020)

Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction. - Olga Pólchlopek; Nynke R. Koning; Frederike L. Büchner; Mathilde R. Crone; Mattijs E. Numans; Mark Hoogendoorn (Comput. Biol. Medicine, 2020)

Wavelet Networks: Scale Equivariant Learning From Raw Waveforms. - David W. Romero; Erik J. Bekkers; Jakub M. Tomczak; Mark Hoogendoorn (CoRR, 2020)

Reinforcement learning for personalization: A systematic literature review. - Floris den Hengst; Eoin Martino Grua; Ali el Hassouni; Mark Hoogendoorn (Data Sci., 2020)

Release of the systematic literature review into Reinforcement Learning for personalization. - Floris den Hengst; Eoin Martino Grua; Ali el Hassouni; Mark Hoogendoorn (Zenodo, 2020)

Social Sustainability in the e-Health Domain via Personalized and Self-Adaptive Mobile Apps. - Eoin Martino Grua; Martina De Sanctis; Ivano Malavolta; Mark Hoogendoorn; Patricia Lago (Software Sustainability, 2021)

pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. - Ali el Hassouni; Mark Hoogendoorn; Marketa Ciharova; Annet Kleiboer; Khadicha Amarti; Vesa Muhonen; Heleen Riper; A. E. Eiben (LOD, 2021)

Mixing Consistent Deep Clustering. - Daniel Lutscher; Ali el Hassouni; Maarten Stol; Mark Hoogendoorn (LOD, 2021)

A Framework for Imbalanced Time-Series Forecasting. - Luis P. Silvestrin; Leonardos Pantiskas; Mark Hoogendoorn (LOD, 2021)

Plusmine: Dynamic Active Learning with Semi-Supervised Learning for Automatic Classification. - Jan Klein 004; Sandjai Bhulai; Mark Hoogendoorn; Robert D. van der Mei (WI/IAT, 2021)

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis. - Luca F. Roggeveen; Ali el Hassouni; Jonas Ahrendt; Tingjie Guo; Lucas M. Fleuren; Patrick Thoral; Armand R. J. Girbes; Mark Hoogendoorn; Paul W. G. Elbers (Artif. Intell. Medicine, 2021)

Jasmine: A New Active Learning Approach to Combat Cybercrime. - Jan Klein 004; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (CoRR, 2021)

Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. - Jie Jiang 011; Qiuqiang Kong; Mark D. Plumbley; Nigel Gilbert; Mark Hoogendoorn; Diederik M. Roijers (ACM Trans. Knowl. Discov. Data, 2021)

Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS. - Leonardos Pantiskas; Kees Verstoep; Mark Hoogendoorn; Henri E. Bal (DCOSS, 2022)

FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. - David W. Romero; Robert-Jan Bruintjes; Jakub Mikolaj Tomczak; Erik J. Bekkers; Mark Hoogendoorn; Jan van Gemert (ICLR, 2022)

CKConv: Continuous Kernel Convolution For Sequential Data. - David W. Romero; Anna Kuzina; Erik J. Bekkers; Jakub Mikolaj Tomczak; Mark Hoogendoorn (ICLR, 2022)

An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. - Leonardos Pantiskas; Kees Verstoep; Mark Hoogendoorn; Henri E. Bal (ICMLA, 2022)

Reinforcement Learning with Option Machines. - Floris den Hengst; Vincent François-Lavet; Mark Hoogendoorn; Frank van Harmelen (IJCAI, 2022)

Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. - Olivier Moulin; Vincent François-Lavet; Paul W. G. Elbers; Mark Hoogendoorn (WI/IAT, 2022)

Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case. - Luis Pedro Silvestrin; Harry van Zanten; Mark Hoogendoorn; Ger Koole (CoRR, 2022)

The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models. - Etienne van de Bijl; Jan Klein 004; Joris Pries; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (CoRR, 2022)

Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. - Olivier Moulin; Vincent François-Lavet; Paul W. G. Elbers; Mark Hoogendoorn (CoRR, 2022)

Towards a General Purpose CNN for Long Range Dependencies in ND. - David W. Romero; David M. Knigge; Albert Gu; Erik J. Bekkers; Efstratios Gavves; Jakub M. Tomczak; Mark Hoogendoorn (CoRR, 2022)

Improving generalization in reinforcement learning through forked agents. - Olivier Moulin; Vincent François-Lavet; Mark Hoogendoorn (CoRR, 2022)

An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps. - Eoin Martino Grua; Martina De Sanctis; Ivano Malavolta; Mark Hoogendoorn; Patricia Lago (Inf. Softw. Technol., 2022)

Planning for potential: efficient safe reinforcement learning. - Floris den Hengst; Vincent François-Lavet; Mark Hoogendoorn; Frank van Harmelen (Mach. Learn., 2022)

Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. - Luis Pedro Silvestrin; Shujian Yu; Mark Hoogendoorn (ECAI, 2023)

Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. - David M. Knigge; David W. Romero; Albert Gu; Efstratios Gavves; Erik J. Bekkers; Jakub Mikolaj Tomczak; Mark Hoogendoorn; Jan-Jakob Sonke (ICLR, 2023)

Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification. - Leonardos Pantiskas; Kees Verstoep; Mark Hoogendoorn; Henri E. Bal (ICMLA, 2023)

Improving Generalization in Reinforcement Learning Through Forked Agents. - Olivier Moulin; Vincent François-Lavet; Paul W. G. Elbers; Mark Hoogendoorn (IEA/AIE (2), 2023)

Disentangled (Un)Controllable Features. - Jacob E. Kooi; Mark Hoogendoorn; Vincent François-Lavet (SSCI, 2023)

Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification. - Leonardos Pantiskas; Kees Verstoep; Mark Hoogendoorn; Henri E. Bal (SSCI, 2023)

Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption. - Arwin Gansekoele; Tycho Bot; Rob van der Mei; Sandjai Bhulai; Mark Hoogendoorn (WI/IAT, 2023)

Multivariate Time Series Early Classification Across Channel and Time Dimensions. - Leonardos Pantiskas; Kees Verstoep; Mark Hoogendoorn; Henri E. Bal (CoRR, 2023)

End-to-end learning with interpretation on electrohysterography data to predict preterm birth. - Anne M. Fischer; Alex Rietveld; Peter Teunissen; P. C. A. M. Bakker; Mark Hoogendoorn (Comput. Biol. Medicine, 2023)

Augmented intelligence facilitates concept mapping across different electronic health records. - Tariq A. Dam; Lucas M. Fleuren; Luca F. Roggeveen; Martijn Otten; Laurens Biesheuvel; Ameet R. Jagesar; Robbert C. A. Lalisang; Robert F. J. Kullberg; Tom Hendriks; Armand R. J. Girbes; Mark Hoogendoorn; Patrick J. Thoral; et al. (Int. J. Medical Informatics, 2023)

The added value of temporal data and the best way to handle it: A use-case for atrial fibrillation using general practitioner data. - Frank C. Bennis; Claire Aussems; Joke C. Korevaar; Mark Hoogendoorn (Comput. Biol. Medicine, 2024)

A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations. - Arwin Gansekoele; Alexios Balatsoukas-Stimming; Tom Brusse; Mark Hoogendoorn; Sandjai Bhulai; Rob van der Mei (CoRR, 2024)

Latent Assistance Networks: Rediscovering Hyperbolic Tangents in RL. - Jacob E. Kooi; Mark Hoogendoorn; Vincent François-Lavet (CoRR, 2024)

Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series. - David W. Romero; Erik J. Bekkers; Jakub M. Tomczak; Mark Hoogendoorn (Trans. Mach. Learn. Res., 2024)

Guideline-informed reinforcement learning for mechanical ventilation in critical care. - Floris den Hengst; Martijn Otten; Paul W. G. Elbers; Frank van Harmelen; Vincent François-Lavet; Mark Hoogendoorn (Artif. Intell. Medicine, 2024)

Generalizability of AI Survival Models in the Context of Preterm Birth Prediction. - Anne M. Fischer; Isabelle Dehaene; Mark Hoogendoorn (AIME (2), 2025)

Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence. - Rutger van der Linden; Khadicha Amarti; Marketa Ciharova; Annet Kleiboer; Heleen Riper; Aneta Lisowska; Mark Hoogendoorn (AIME (2), 2025)

Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods. - Buelent Uendes; Shujian Yu; Mark Hoogendoorn (ICLR, 2025)

The dutch draw: constructing a universal baseline for binary classification problems. - Etienne van de Bijl; Jan Klein 004; Joris Pries; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (J. Appl. Probab., 2025)

ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis. - Önder Akacik; Mark Hoogendoorn (Trans. Mach. Learn. Res., 2025)

Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications. - Arwin Gansekoele; Sandjai Bhulai; Mark Hoogendoorn; Rob van der Mei (Trans. Mach. Learn. Res., 2025)

The Value of Oxygenation Vital Signs in Machine Learning Prediction of Neurodevelopmental Outcomes in Preterm Infants. - Menne van Boven; Frank C. Bennis; Wes Onland; Cornelieke Aarnoudse-Moens; Trixie Katz; Michelle Romijn; Mark Hoogendoorn; Aleid Leemhuis; Anton H. van Kaam; Marsh Königs; Jaap Oosterlaan (IEEE J. Biomed. Health Informatics, 2025)