Mark Hoogendoorn - researchr profile publications

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Publications with a 'Mark Hoogendoorn' as author, editor, or advisor:

A Generic Personal Assistant Agent Model for Support in Demanding TasksTibor 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 2009: 3-12 [doi]
Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and DepressionFiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. iconip 2010: 270-281 [doi]
The Influence of Personalities Upon the Dynamics of Trust and ReputationMark Hoogendoorn, S. Waqar Jaffry. cse 2009: 263-270 [doi]
A Framework for Imbalanced Time-Series ForecastingLuis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn. mod 2022: 250-264 [doi]
Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveSLeonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal. dcoss 2022: 149-152 [doi]
Agent-Based Analysis and Support for Incident ManagementMark Hoogendoorn, Catholijn M. Jonker, Jan Treur, Marian Verhaegh. cia 2006: 109-123 [doi]
Agent-based vs. population-based simulation of displacement of crime: A comparative studyTibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur. wias, 9(2):147-160, 2011. [doi]
Learning Belief Connections in a Model for Situation AwarenessMaria L. Gini, Mark Hoogendoorn, Rianne van Lambalgen. prima 2011: 373-384 [doi]
Deep Learning-Based Energy Disaggregation and On/Off Detection of Household AppliancesJie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers. tkdd, 15(3), 2021. [doi]
An Integrated Agent Model Addressing Situation Awareness and Functional State in Decision MakingMark Hoogendoorn, Rianne van Lambalgen, Jan Treur. prima 2011: 385-397 [doi]
Formation of Virtual Organizations Through NegotiationMark Hoogendoorn, Catholijn M. Jonker. MATES 2006: 135-146 [doi]
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: 401-402
Formal specification and analysis of intelligent agents for model-based medicine usage managementMark Hoogendoorn, Michel C. A. Klein, Zulfiqar A. Memon, Jan Treur. cbm, 43(5):444-457, 2013. [doi]
Automated Evaluation of Coordination ApproachesTibor Bosse, Mark Hoogendoorn, Jan Treur. coordination 2006: 44-62 [doi]
An Ambient Intelligent Agent with Awareness of Human Task ExecutionFiemke Both, Mark Hoogendoorn, Andy van der Mee, Michael de Vos. iat 2008: 290-295 [doi]
Why parameter control mechanisms should be benchmarked against random variationGiorgos Karafotias, Mark Hoogendoorn, A. E. Eiben. cec 2013: 349-355 [doi]
Modelling the Emergence of Group Decisions Based on Mirroring and Somatic MarkingMark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen. brain 2010: 29-41 [doi]
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health CareMark Hoogendoorn, Ward van Breda, Jeroen Ruwaard. webi 2019: 1-8 [doi]
Redesign of Organizations as a Basis for Organizational ChangeMark Hoogendoorn, Catholijn M. Jonker, Jan Treur. atal 2007: 48-64 [doi]
Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email ConversationsMark Hoogendoorn, Thomas Berger, Ava Schulz, Timo Stolz, Peter Szolovits. titb, 21(5):1449-1459, 2017. [doi]
1 Score for Learning from Positive and Unlabeled ExamplesSeyed Amin Tabatabaei, Jan Klein 0004, Mark Hoogendoorn. mod 2020: 150-161 [doi]
Avoidance of Norm Violation in Multi-Agent OrganizationsCharlotte Gerritsen, Mark Hoogendoorn. ecms 2009: 144-155 [doi]
Exploration and Exploitation in Adaptive Trust-Based Decision Making in Dynamic EnvironmentsMark Hoogendoorn, S. Waqar Jaffry, Jan Treur. iat 2010: 256-260 [doi]
Analysis and Support of Organizational Performance Based on a Labeled Graph ApproachMark Hoogendoorn, Jan Treur, Pinar Yolum. atal 2009: 80-97 [doi]
Using recurrent neural networks to predict colorectal cancer among patientsRyan Amirkhan, Mark Hoogendoorn, Mattijs E. Numans, Leon M. G. Moons. ssci 2017: 1-8 [doi]
Model-Based Reasoning Methods within an Ambient Intelligent Agent ModelTibor Bosse, Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur. ami 2008: 352-370 [doi]
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsisLuca Roggeveen, Ali el Hassouni, Jonas Ahrendt, Tingjie Guo, Lucas Fleuren, Patrick Thoral, Armand R. J. Girbes, Mark Hoogendoorn, Paul W. G. Elbers. artmed, 112:102003, 2021. [doi]
Narrowing Reinforcement Learning: Overcoming the Cold Start Problem for Personalized Health InterventionsSeyed Amin Tabatabaei, Mark Hoogendoorn, Aart van Halteren. prima 2018: 312-327 [doi]
Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and WellbeingEoin Martino Grua, Mark Hoogendoorn. ssci 2018: 813-820 [doi]
Computational Modeling and Analysis of Therapeutical Interventions for DepressionFiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. brain 2010: 274-287 [doi]
Modeling Decentralized Organizational Change in Honeybee SocietiesMark Hoogendoorn, Martijn C. Schut, Jan Treur. ecal 2007: 615-624 [doi]
Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agentsOlivier Moulin, Francois Vincent-Lavet, Paul W. G. Elbers, Mark Hoogendoorn. webi 2022: 166-173 [doi]
An Agent-Based Modeling Approach to Investigate Emergent Patterns in Ecological SystemsJacintha Ellers, Mark Hoogendoorn, David Wendt. iat 2010: 6-13 [doi]
An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task ProgressFiemke Both, Mark Hoogendoorn, Jan Treur. sbia 2008: 222-239 [doi]
Utilizing theory of mind for action selection applied in the domain of fighter pilot trainingMark Hoogendoorn, Robbert-Jan Merk. apin, 39(4):749-760, 2013. [doi]
Parameter control: strategy or luck?Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben. gecco 2013: 215-216 [doi]
Planning for potential: efficient safe reinforcement learningFloris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen. ml, 111(6):2255-2274, 2022. [doi]
Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow NetworksMark Hoogendoorn. IJCAI 2007: 1321-1326 [doi]
An Ecological Model-Based Reasoning Model to Support Nature Park ManagersMark Hoogendoorn, Jan Treur, Muhammad Umair. ieaaie 2009: 172-182 [doi]
Parameter Control in Evolutionary Algorithms: Trends and ChallengesGiorgos Karafotias, Mark Hoogendoorn, Ágoston E. Eiben. tec, 19(2):167-187, 2015. [doi]
Online application for simulating intelligent support for medicine intakeMark Hoogendoorn, Michel C. A. Klein, Borre Mosch. petra 2008: 76 [doi]
Attentive Group Equivariant Convolutional NetworksDavid W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn. icml 2020: 8188-8199 [doi]
A Meta-level Architecture for Strategic Reasoning in Naval PlanningMark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur. ieaaie 2005: 848-850 [doi]
Plusmine: Dynamic Active Learning with Semi-Supervised Learning for Automatic ClassificationJan Klein 0004, Sandjai Bhulai, Mark Hoogendoorn, Robert D. van der Mei. webi 2021: 146-153 [doi]
Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious GamesReinier Kop, Armon Toubman, Mark Hoogendoorn, Jan Joris Roessingh. ieaaie 2015: 53-62 [doi]
Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental StatesTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur, C. Natalie van der Wal. ieaaie 2011: 566-577 [doi]
A Specification Language for Coordination in Agent SystemsTibor Bosse, Mark Hoogendoorn, Radu Serban, Jan Treur. iat 2007: 252-256 [doi]
An Adaptive Agent Model Estimating Human Trust in Information SourcesMark Hoogendoorn, S. Waqar Jaffry, Jan Treur. iat 2009: 458-465 [doi]
Agent-based analysis and simulation of meta-reasoning processes in strategic naval planningMark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur. kbs, 22(8):589-599, 2009. [doi]
Guideline-informed reinforcement learning for mechanical ventilation in critical careFloris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn. artmed, 147:102742, January 2024. [doi]
Structural and Functional Representativity of GANs for Data Generation in Sequential Decision MakingAli el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen. mod 2020: 458-471 [doi]
A Model of Team Decision Making Using Situation AwarenessMark Hoogendoorn, Pieter Huibers, Rianne van Lambalgen, Jan Joris Roessingh. In Wei Ding, He Jiang, Moonis Ali, MingChu Li, editors, Modern Advances in Intelligent Systems and Tools. Volume 431 of Studies in Computational Intelligence, pages 113-120, Springer, 2012. [doi]
Tailoring a cognitive model for situation awareness using machine learningRichard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh. apin, 42(1):36-48, 2015. [doi]
Design and Validation of a Model for a Human's Functional State and PerformanceTibor Bosse, Fiemke Both, Mark Hoogendoorn, S. Waqar Jaffry, Rianne van Lambalgen, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael de Vos. ijmssc, 2(4), 2011. [doi]
Special issue on advances in applied artificial intelligenceTibor Bosse, Mark Hoogendoorn. apin, 42(1):1-2, 2015. [doi]
Cognitive and neural modeling of dynamics of trust in competitive trusteesMark Hoogendoorn, S. Waqar Jaffry, Jan Treur. cogsr, 14(1):60-83, 2012. [doi]
An Agent-Based Model for the Interplay of Information and Emotion in Social DiffusionMark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen. iat 2010: 439-444 [doi]
Predicting Appliance Usage Status In Home Like EnvironmentsJie Jiang, Mark Hoogendoorn, Qiuqiang Kong, Diederik M. Roijers, Nigel Gilbert. icdsp 2018: 1-5 [doi]
The Distributed Weighing Problem: A Lesson in Cooperation Without CommunicationTibor Bosse, Mark Hoogendoorn, Catholijn M. Jonker. MATES 2005: 191-203 [doi]
Ontology-Based Business Activity Monitoring AgentDuco N. Ferro, Mark Hoogendoorn, Catholijn M. Jonker. iat 2008: 491-495 [doi]
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case StudyLuis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn. ecai 2023: 2146-2153 [doi]
An Agent Model for Decision Making Based upon Experiences Applied in the Domain of Fighter PilotsMark Hoogendoorn, Robbert-Jan Merk, Jan Treur. iat 2010: 101-108 [doi]
Action Selection Using Theory of Mind: A Case Study in the Domain of Fighter Pilot TrainingMark Hoogendoorn, Robbert-Jan Merk. ieaaie 2012: 521-533 [doi]
An adaptive multi-agent organization model based on dynamic role allocationMark Hoogendoorn, Jan Treur. kes, 13(3-4):119-139, 2009. [doi]
Generation of Human-Like Movements Based on Environmental FeaturesAlessandro Zonta, Selmar K. Smit, Mark Hoogendoorn, A. E. Eiben. ssci 2019: 3079-3086 [doi]
Model-based ambient analysis of human task executionFiemke Both, Mark Hoogendoorn, Jan Treur. petra 2008: 92 [doi]
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel SizesDavid W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert. iclr 2022: [doi]
On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing EnvironmentsBerend Weel, Mark Hoogendoorn, A. E. Eiben. ppsn 2012: 245-254 [doi]
Formal analysis of empirical traces in incident managementMark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Alexei Sharpanskykh. ress, 93(10):1422-1433, 2008. [doi]
Identifying Patient Groups based on Frequent Patterns of Patient SamplesSeyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn, Hajo A. Reijers. healthcom 2019: 1-6 [doi]
Validation of a Model for Coping and Mood for Virtual AgentsFiemke Both, Mark Hoogendoorn, Michel C. A. Klein. iat 2012: 382-389 [doi]
A feature representation learning method for temporal datasetsWard R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Gerhard Andersson, Heleen Riper, Jeroen Ruwaard, Kristofer Vernmark. ssci 2016: 1-8 [doi]
Formal Verification of an Agent-Based Support System for Medicine IntakeMark Hoogendoorn, Michel C. A. Klein, Zulfiqar A. Memon, Jan Treur. biostec 2009: 453-466 [doi]
Learning Parameters for a Cognitive Model on Situation AwarenessRichard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh. ieaaie 2013: 22-32 [doi]
Improving Generalization in Reinforcement Learning Through Forked AgentsOlivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn. ieaaie 2023: 249-260 [doi]
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in DataDavid W. Romero, Mark Hoogendoorn. iclr 2020: [doi]
Detecting Fraudulent Bookings of Online Travel Agencies with Unsupervised Machine LearningCaleb Mensah, Jan Klein 0004, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei. ieaaie 2019: 334-346 [doi]
Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentionsTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur, C. Natalie van der Wal, Arlette van Wissen. AAMAS, 27(1):52-84, 2013. [doi]
Automated Analysis of Auction TracesMark Hoogendoorn, Maria L. Gini. amec 2010: 58-73 [doi]
Co-evolutionary Learning for Cognitive Computer Generated EntitiesXander Wilcke, Mark Hoogendoorn, Jan Joris Roessingh. ieaaie 2014: 120-129 [doi]
Comparing generic parameter controllers for EAsGiorgos Karafotias, Mark Hoogendoorn, Berend Weel. foci 2014: 46-53 [doi]
Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series ClassificationLeonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal. ssci 2023: 1406-1413 [doi]
An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health CareWard R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking. aime 2015: 148-152 [doi]
Reinforcement Learning for Personalized Dialogue ManagementFloris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman. webi 2019: 59-67 [doi]
Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity DatasetJan Klein 0004, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei, Raymond Hinfelaar. webi 2018: 784-787 [doi]
CKConv: Continuous Kernel Convolution For Sequential DataDavid W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn. iclr 2022: [doi]
An Ambient Intelligent Agent Model Using Controlled Model-Based Reasoning to Determine Causes and Remedies for Monitored ProblemsRob Duell, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. iat 2008: 489-494 [doi]
Moving Target Search Using Theory of MindArd C. M. Al, Mark Hoogendoorn. iat 2011: 66-71 [doi]
A Personalized Support Agent for Depressed Patients: Forecasting Patient Behavior Using a Mood and Coping ModelReinier Kop, Mark Hoogendoorn, Michel C. A. Klein. webi 2014: 302-309 [doi]
Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical RecordsMark Hoogendoorn, Leon M. G. Moons, Mattijs E. Numans, Robert-Jan Sips. brain 2014: 132-141 [doi]
Reinforcement Learning with Option MachinesFloris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen. IJCAI 2022: 2909-2915 [doi]
A Three-Dimensional Abstraction Framework to Compare Multi-Agent System ModelsTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. iccci 2010: 306-319 [doi]
Agent-Based Modelling of the Emergence of Collective States Based on Contagion of Individual States in GroupsMark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen. tcci, 3:152-179, 2011. [doi]
Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancerMark Hoogendoorn, Peter Szolovits, Leon M. G. Moons, Mattijs E. Numans. artmed, 69:53-61, 2016. [doi]
An Agent-Based Architecture for Model-Based Diagnosis Using Observation CostMark Hoogendoorn, Bas W. Knopper, Andy van der Mee. iat 2011: 415-420 [doi]
Decentralized task allocation using magnet: an empirical evaluation in the logistics domainMark Hoogendoorn, Maria L. Gini, Catholijn M. Jonker. ACMicec 2007: 319-328 [doi]
Modeling centralized organization of organizational changeMark Hoogendoorn, Catholijn M. Jonker, Martijn C. Schut, Jan Treur. cmot, 13(2):147-184, 2007. [doi]
A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive MaintenanceLuis P. Silvestrin, Mark Hoogendoorn, Ger Koole. ssci 2019: 760-767 [doi]
Formal Analysis of Empirical Traces in Incident ManagementMark Hoogendoorn, Catholijn M. Jonker, Savas Konur, Peter-Paul van Maanen, Viara Popova, Alexei Sharpanskykh, Jan Treur, Lai Xu, Pinar Yolum. sgai 2005: 237-250 [doi]
Personalization of Health Interventions Using Cluster-Based Reinforcement LearningAli el Hassouni, Mark Hoogendoorn, Martijn Van Otterlo, Eduardo Barbaro. prima 2018: 467-475 [doi]
Prediction using patient comparison vs. modeling: A case study for mortality predictionMark Hoogendoorn, Ali el Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits. embc 2016: 2464-2467 [doi]
Incorporating Interdependency of Trust Values in Existing Trust Models for Trust DynamicsMark Hoogendoorn, S. Waqar Jaffry, Jan Treur. ifiptm 2010: 263-276 [doi]
On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal CancerReinier Kop, Mark Hoogendoorn, Leon M. G. Moons, Mattijs E. Numans, Annette ten Teije. aime 2015: 133-142 [doi]
pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health PracticeAli el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben. mod 2022: 265-280 [doi]
Design of supplier agents for an auction-based marketStefan Botman, Mark Hoogendoorn, Vasile Bud, Ashutosh Jaiswal, Steve Hawkins, Yelena Kryzhnyaya, Janice Pearce, Anne Scholcraft, Espen Sigvartsen, John Collins, Maria L. Gini. aois 2002: [doi]
Adaptation and Validation of an Agent Model of Functional State and Performance for IndividualsFiemke Both, Mark Hoogendoorn, S. Waqar Jaffry, Rianne van Lambalgen, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael de Vos. prima 2009: 595-607 [doi]
Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical recordsReinier Kop, Mark Hoogendoorn, Annette ten Teije, Frederike L. Büchner, Pauline Slottje, Leon M. G. Moons, Mattijs E. Numans. cbm, 76:30-38, 2016. [doi]
Formal Analysis of Intelligent Agents for Model-Based Medicine Usage ManagementMark Hoogendoorn, Michel C. A. Klein, Zulfiqar A. Memon, Jan Treur. biostec 2008: 148-155
Using Generative Adversarial Networks to Develop a Realistic Human Behavior SimulatorAli el Hassouni, Mark Hoogendoorn, Vesa Muhonen. prima 2018: 476-483 [doi]
Preferences of agents in decentralized task allocationMark Hoogendoorn, Maria L. Gini. aicom, 22(3):143-152, 2009. [doi]
An ambient agent model for monitoring and analysing dynamics of complex human behaviourTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. jaise, 3(4):283-303, 2011. [doi]
Quantitative and temporal approach to utilising electronic medical records from general practices in mental health predictionOlga Pólchlopek, Nynke R. Koning, Frederike L. Büchner, Mathilde R. Crone, Mattijs E. Numans, Mark Hoogendoorn. cbm, 125:103973, 2020. [doi]
A computational model for dynamics of desiring and feelingTibor Bosse, Mark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Muhammad Umair. cogsr, 19-20:39-61, 2012. [doi]
An intelligent agent model with awareness of workflow progressFiemke Both, Mark Hoogendoorn, Andy van der Mee, Jan Treur, Michael de Vos. apin, 36(2):498-510, 2012. [doi]
An Agent-Based Meta-level Architecture for Strategic Reasoning in Naval PlanningMark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur. aois 2006: 216-230 [doi]
Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence PatternsXixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn, Hajo A. Reijers. BPM 2019: 198-215 [doi]
Assessment of temporal predictive models for health care using a formal methodWard van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking. cbm, 87:347-357, 2017. [doi]
Modeling Situation Awareness in Human-Like Agents Using Mental ModelsMark Hoogendoorn, Rianne van Lambalgen, Jan Treur. IJCAI 2011: 1697-1704 [doi]
The Triangle of LifeÁgoston E. Eiben, Nicolas Bredeche, Mark Hoogendoorn, Jürgen Stradner, Jon Timmis, Andy M. Tyrrell, Alan F. T. Winfield. ecal 2013: 1056-1063 [doi]
An Intelligent Support System for Diabetic PatientsMark Hoogendoorn, Michel C. A. Klein, Nataliya M. Mogles. biostec 2010: 98-105
Validation and Verification of Agent Models for Trust: Independent Compared to Relative TrustMark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen. ifiptm 2011: 35-50 [doi]
Design and validation of a relative trust modelMark Hoogendoorn, Syed Waqar Jaffry, Peter-Paul van Maanen, Jan Treur. kbs, 57:81-94, 2014. [doi]
Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural NetworksMark Hoogendoorn. ieaaie 2013: 73-82 [doi]
A Labeled Graph Approach to Analyze Organizational PerformanceMark Hoogendoorn, Jan Treur, Pinar Yolum. iat 2006: 482-489 [doi]
Using Evolutionary Algorithms to Personalize Controllers in Ambient IntelligenceShu Gao, Mark Hoogendoorn. isami 2015: 1-11 [doi]
A Model-Based Ambient Agent Providing Support in Handling Desire and TemptationMark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Muhammad Umair. paams 2010: 461-475 [doi]
CluStream-GT: Online Clustering for Personalization in the Health DomainEoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben. webi 2019: 270-275 [doi]
Modelling biased human trust dynamicsMark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen, Jan Treur. wias, 11(1):21-40, 2013. [doi]
An Agent-Based Generic Model for Human-Like AmbienceTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. ami 2008: 93-103 [doi]
Machine Learning for the Quantified Self - On the Art of Learning from Sensory DataMark Hoogendoorn, Burkhardt Funk. Volume 35 of Cognitive Systems Monographs, Springer, 2018. [doi]
A generic architecture for redesign of organizations triggered by changing environmental circumstancesMark Hoogendoorn, Catholijn M. Jonker, Jan Treur. cmot, 17(2):119-151, 2011. [doi]
Recent Trends in Applied Artificial Intelligence, 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013. ProceedingsMoonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur, editors, Volume 7906 of Lecture Notes in Computer Science, Springer, 2013. [doi]
Mixing Consistent Deep ClusteringDaniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn. mod 2022: 124-137 [doi]
Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed PatientsFiemke Both, Mark Hoogendoorn. iconip 2011: 700-710 [doi]
Augmented intelligence facilitates concept mapping across different electronic health recordsTariq 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, Paul W. G. Elbers. ijmi, 179:105233, November 2023. [doi]
A Labeled Graph Approach to Support Analysis of Organizational PerformanceMark Hoogendoorn, Jan Treur, Pinar Yolum. bnaic 2005: 347-348
Evaluation of virtual agents utilizing theory of mind in a real time action gameMark Hoogendoorn, Jeremy Soumokil. atal 2010: 59-66 [doi]
Specification of Adaptive Client-Tailored Product ModelsTibor Bosse, Fiemke Both, Mark Hoogendoorn, Jan Treur. IEEEscc 2007: 253-261 [doi]
An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different DimensionsLeonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal. icmla 2022: 23-28 [doi]
Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming EncryptionArwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn. webi 2023: 163-170 [doi]
A Component-Based Ambient Agent Model for Assessment of Driving BehaviourTibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. uic 2008: 229-243 [doi]
Design and Analysis of an Ambient Intelligent System Supporting Depression TherapyFiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. biostec 2009: 142-148
Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series ClassificationLeonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal. icmla 2023: 480-487 [doi]
Agent-Based Modeling of Farming Behavior: A Case Study for Milk Quota AbolishmentDiti Oudendag, Mark Hoogendoorn, Roel Jongeneel. ieaaie 2014: 11-20 [doi]
Towards Fully Automated Psychotherapy for Adults - BAS - Behavioral Activation Scheduling Via Web and Mobile PhoneFiemke Both, Pim Cuijpers, Mark Hoogendoorn, Michel C. A. Klein. biostec 2010: 375-380
Methods for model-based reasoning within agent-based Ambient Intelligence applicationsTibor Bosse, Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur. kbs, 27:190-210, 2012. [doi]
Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social NeuroscienceMark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen. iconip 2010: 196-206 [doi]
An ambient agent system assisting humans in complex tasks by analysis of a human's state and performanceTibor 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. ijiids, 7(1):3-33, 2013. [doi]
End-to-end learning with interpretation on electrohysterography data to predict preterm birthAnne M. Fischer, Alex Rietveld, Peter Teunissen, P. C. A. M. Bakker, Mark Hoogendoorn. cbm, 158:106846, May 2023. [doi]
Evaluating Reward Definitions for Parameter ControlGiorgos Karafotias, Mark Hoogendoorn, A. E. Eiben. evoW 2015: 667-680 [doi]
Model-Based Default Refinement of Partial Information within an Ambient AgentFiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur. ami 2008: 34-43 [doi]
Agents Preferences in Decentralized Task AllocationMark Hoogendoorn, Maria L. Gini. ecai 2008: 398-402 [doi]
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNNDavid M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke. iclr 2023: [doi]
Modeling and Validation of Biased Human TrustMark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen, Jan Treur. iat 2011: 256-263 [doi]
Social Sustainability in the e-Health Domain via Personalized and Self-Adaptive Mobile AppsEoin Martino Grua, Martina de Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago. In Coral Calero, Marí Ángeles Moraga, Mario Piattini, editors, Software Sustainability. pages 301-328, Springer, 2021. [doi]
Modeling the Dynamics of Mood and DepressionFiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur. ecai 2008: 266-270 [doi]
Performance Measures to Enable Agent-Based Support in Demanding CircumstancesFiemke Both, Mark Hoogendoorn, Rianne van Lambalgen, Rogier Oorburg, Michael de Vos. hci 2011: 578-587 [doi]
An evaluation of the effectiveness of personalization and self-adaptation for e-Health appsEoin Martino Grua, Martina de Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago. INFSOF, 146:106841, 2022. [doi]
Generic parameter control with reinforcement learningGiorgos Karafotias, Ágoston E. Eiben, Mark Hoogendoorn. gecco 2014: 1319-1326 [doi]
An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian LearningTibor Bosse, Mark Hoogendoorn, Zulfiqar A. Memon, Jan Treur, Muhammad Umair. brain 2010: 14-28 [doi]
Formal Design and Simulation of an Ambient Multi-agent System Model for Medicine Usage ManagementMark Hoogendoorn, Michel C. A. Klein, Jan Treur. ami 2008: 207-217 [doi]
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement LearningAli el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn Van Otterlo, Vesa Muhonen. webi 2019: 258-264 [doi]
An Adaptive Multi-agent Organization Model Based on Dynamic Role AllocationMark Hoogendoorn, Jan Treur. iat 2006: 474-481 [doi]
Reinforcement learning for personalization: A systematic literature reviewFloris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn. datasci, 3(2):107-147, 2020. [doi]
Special Issue "Technology for Mental Health"Pietro Cipresso, Mark Hoogendoorn, Michel C. A. Klein, Aleksandar Matic. amsys, 2, 2013. [doi]
Adaptation and Validation of an Agent Model of Functional State and Performance for Individuals. Both, F., Hoogendoorn, M., Jaffry. S.W., Lambalgen, R. van, Oorburg, R., Sharpanskykh, A., Treur, J., and Vos, M. de, . Volume 5925 of Lecture Notes in Artificial Intelligence, Springer Verlag, 12 2009. [doi]

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