Mark Hoogendoorn

210 papers A* 9A 7B 16C 15Journal 74Unranked 86

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	CICADA: A Workflow Guidance for Causal Machine Learning in Precision Medicine. BIOSTEC (3) Louk van Remmerden, Ilona Baranska, Ameet R. Jagesar, Eline Tankink-Kooijmans, Jitka Pokladníková, Paulina Wisniewska, Daniela Fialová, Emiel Hoogendijk, Karlijn Joling, Katarzyna Szczerbinska, Vincent François-Lavet, Shujian Yu, Mark Hoogendoorn, Hein van Hout
2025	—	`conf`	Generalizability of AI Survival Models in the Context of Preterm Birth Prediction. AIME (2) Anne M. Fischer, Isabelle Dehaene, Mark Hoogendoorn
2025	J	`jnl`	Learning Task-Aware Abstract Representations for Meta-Reinforcement Learning. Trans. Mach. Learn. Res. Louk van Remmerden, Zhao Yang, Shujian Yu, Mark Hoogendoorn, Vincent François-Lavet
2025	J	`jnl`	Leveraging weights signals - Predicting and improving generalizability in reinforcement learning. CoRR Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2025	J	`jnl`	ModernTCN Revisited: A Critical Look at the Experimental Setup in General Time Series Analysis. Trans. Mach. Learn. Res. Önder Akacik, Mark Hoogendoorn
2025	—	`conf`	Personalizing mHealth Apps with Offline Reinforcement Learning: A Case Study on Mental Health App Adherence. AIME (2) Rutger van der Linden, Khadicha Amarti, Marketa Ciharova, Annet Kleiboer, Heleen Riper, Aneta Lisowska, Mark Hoogendoorn
2025	J	`jnl`	Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications. CoRR Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2025	J	`jnl`	Relative Phase Equivariant Deep Neural Systems for Physical Layer Communications. Trans. Mach. Learn. Res. Arwin Gansekoele, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2025	A*	`conf`	Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods. ICLR Buelent Uendes, Shujian Yu, Mark Hoogendoorn
2025	J	`jnl`	The Value of Oxygenation Vital Signs in Machine Learning Prediction of Neurodevelopmental Outcomes in Preterm Infants. IEEE J. Biomed. Health Informatics 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
2025	J	`jnl`	The dutch draw: constructing a universal baseline for binary classification problems. J. Appl. Probab. Etienne van de Bijl, Jan Klein, Joris Pries, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2024	J	`jnl`	A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations. CoRR Arwin Gansekoele, Alexios Balatsoukas-Stimming, Tom Brusse, Mark Hoogendoorn, Sandjai Bhulai, Rob van der Mei
2024	J	`jnl`	Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine Floris den Hengst, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn
2024	J	`jnl`	Latent Assistance Networks: Rediscovering Hyperbolic Tangents in RL. CoRR Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet
2024	J	`jnl`	The added value of temporal data and the best way to handle it: A use-case for atrial fibrillation using general practitioner data. Comput. Biol. Medicine Frank C. Bennis, Claire Aussems, Joke C. Korevaar, Mark Hoogendoorn
2024	J	`jnl`	Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption. CoRR Arwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn
2024	J	`jnl`	Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series. Trans. Mach. Learn. Res. David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
2023	J	`jnl`	Augmented intelligence facilitates concept mapping across different electronic health records. Int. J. Medical Informatics 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, Paul W. G. Elbers
2023	C	`conf`	Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification. ICMLA Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2023	—	`conf`	Disentangled (Un)Controllable Features. SSCI Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet
2023	J	`jnl`	End-to-end learning with interpretation on electrohysterography data to predict preterm birth. Comput. Biol. Medicine Anne M. Fischer, Alex Rietveld, Peter Teunissen, P. C. A. M. Bakker, Mark Hoogendoorn
2023	—	`conf`	Improving Generalization in Reinforcement Learning Through Forked Agents. IEA/AIE (2) Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2023	A*	`conf`	Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. ICLR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN. CoRR David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke
2023	J	`jnl`	Multivariate Time Series Early Classification Across Channel and Time Dimensions. CoRR Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2023	—	`conf`	Reinforcement Learning-Guided Channel Selection Across Time for Multivariate Time Series Classification. SSCI Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2023	A	`conf`	Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. ECAI Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn
2023	J	`jnl`	Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study. CoRR Luis Pedro Silvestrin, Shujian Yu, Mark Hoogendoorn
2023	—	`conf`	Unveiling the Potential: Harnessing Deep Metric Learning to Circumvent Video Streaming Encryption. WI/IAT Arwin Gansekoele, Tycho Bot, Rob van der Mei, Sandjai Bhulai, Mark Hoogendoorn
2022	C	`conf`	An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. ICMLA Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2022	J	`jnl`	An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions. CoRR Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2022	J	`jnl`	An evaluation of the effectiveness of personalization and self-adaptation for e-Health apps. Inf. Softw. Technol. Eoin Martino Grua, Martina De Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago
2022	A*	`conf`	CKConv: Continuous Kernel Convolution For Sequential Data. ICLR David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn
2022	J	`jnl`	Disentangled (Un)Controllable Features. CoRR Jacob E. Kooi, Mark Hoogendoorn, Vincent François-Lavet
2022	A*	`conf`	FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. ICLR David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert
2022	J	`jnl`	Improving adaptability to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. CoRR Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2022	J	`jnl`	Improving generalization in reinforcement learning through forked agents. CoRR Olivier Moulin, Vincent François-Lavet, Mark Hoogendoorn
2022	—	`conf`	Improving generalization to new environments and removing catastrophic forgetting in Reinforcement Learning by using an eco-system of agents. WI/IAT Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn
2022	J	`jnl`	Planning for potential: efficient safe reinforcement learning. Mach. Learn. Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen
2022	A*	`conf`	Reinforcement Learning with Option Machines. IJCAI Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen
2022	B	`conf`	Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS. DCOSS Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2022	J	`jnl`	Taking ROCKET on an Efficiency Mission: Multivariate Time Series Classification with LightWaveS. CoRR Leonardos Pantiskas, Kees Verstoep, Mark Hoogendoorn, Henri E. Bal
2022	J	`jnl`	The Dutch Draw: Constructing a Universal Baseline for Binary Prediction Models. CoRR Etienne van de Bijl, Jan Klein, Joris Pries, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2022	J	`jnl`	Towards a General Purpose CNN for Long Range Dependencies in ND. CoRR David W. Romero, David M. Knigge, Albert Gu, Erik J. Bekkers, Efstratios Gavves, Jakub M. Tomczak, Mark Hoogendoorn
2022	J	`jnl`	Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case. CoRR Luis Pedro Silvestrin, Harry van Zanten, Mark Hoogendoorn, Ger Koole
2021	—	`conf`	A Framework for Imbalanced Time-Series Forecasting. LOD Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn
2021	J	`jnl`	A Framework for Imbalanced Time-series Forecasting. CoRR Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn
2021	J	`jnl`	CKConv: Continuous Kernel Convolution For Sequential Data. CoRR David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
2021	J	`jnl`	Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. ACM Trans. Knowl. Discov. Data Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers
2021	J	`jnl`	FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. CoRR David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert
2021	J	`jnl`	Jasmine: A New Active Learning Approach to Combat Cybercrime. CoRR Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2021	—	`conf`	Mixing Consistent Deep Clustering. LOD Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn
2021	—	`conf`	Plusmine: Dynamic Active Learning with Semi-Supervised Learning for Automatic Classification. WI/IAT Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Robert D. van der Mei
2021	—	`ch.`	Social Sustainability in the e-Health Domain via Personalized and Self-Adaptive Mobile Apps. Software Sustainability Eoin Martino Grua, Martina De Sanctis, Ivano Malavolta, Mark Hoogendoorn, Patricia Lago
2021	J	`jnl`	Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis. Artif. Intell. Medicine 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
2021	—	`conf`	pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. LOD Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
2021	J	`jnl`	pH-RL: A personalization architecture to bring reinforcement learning to health practice. CoRR Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben
2020	A*	`conf`	Attentive Group Equivariant Convolutional Networks. ICML David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
2020	J	`jnl`	Attentive Group Equivariant Convolutional Networks. CoRR David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
2020	A*	`conf`	Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data. ICLR David W. Romero, Mark Hoogendoorn
2020	—	`conf`	Estimating the F LOD (1) Seyed Amin Tabatabaei, Jan Klein, Mark Hoogendoorn
2020	J	`jnl`	Mixing Consistent Deep Clustering. CoRR Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn
2020	J	`jnl`	Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction. Comput. Biol. Medicine Olga Pólchlopek, Nynke R. Koning, Frederike L. Büchner, Mathilde R. Crone, Mattijs E. Numans, Mark Hoogendoorn
2020	J	`jnl`	Reinforcement learning for personalization: A systematic literature review. Data Sci. Floris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn
2020	—	`conf`	Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. LOD (1) Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Vesa Muhonen
2020	J	`jnl`	Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. CoRR Xixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn, Hajo A. Reijers
2020	J	`jnl`	Wavelet Networks: Scale Equivariant Learning From Raw Waveforms. CoRR David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn
2019	—	`conf`	A Comparative Study of State-of-the-Art Machine Learning Algorithms for Predictive Maintenance. SSCI Luis P. Silvestrin, Mark Hoogendoorn, Ger Koole
2019	B	`conf`	CluStream-GT: Online Clustering for Personalization in the Health Domain. WI Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben
2019	J	`jnl`	Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data. CoRR David W. Romero, Mark Hoogendoorn
2019	C	`conf`	Detecting Fraudulent Bookings of Online Travel Agencies with Unsupervised Machine Learning. IEA/AIE Caleb Mensah, Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei
2019	B	`conf`	End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. WI Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn van Otterlo, Vesa Muhonen
2019	B	`conf`	GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care. WI Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard
2019	J	`jnl`	GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care. CoRR Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard
2019	—	`conf`	Generation of Human-Like Movements Based on Environmental Features. SSCI Alessandro Zonta, Selmar K. Smit, Mark Hoogendoorn, A. E. Eiben
2019	C	`conf`	Identifying Patient Groups based on Frequent Patterns of Patient Samples. HealthCom Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn, Hajo A. Reijers
2019	J	`jnl`	Identifying Patient Groups based on Frequent Patterns of Patient Samples. CoRR Seyed Amin Tabatabaei, Xixi Lu, Mark Hoogendoorn, Hajo A. Reijers
2019	B	`conf`	Reinforcement Learning for Personalized Dialogue Management. WI Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman
2019	J	`jnl`	Reinforcement Learning for Personalized Dialogue Management. CoRR Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman
2019	A	`conf`	Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns. BPM Xixi Lu, Seyed Amin Tabatabaei, Mark Hoogendoorn, Hajo A. Reijers
2018	B	`conf`	Detecting Network Intrusion beyond 1999: Applying Machine Learning Techniques to a Partially Labeled Cybersecurity Dataset. WI Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, Rob van der Mei, Raymond Hinfelaar
2018	—	`conf`	Exploring Clustering Techniques for Effective Reinforcement Learning based Personalization for Health and Wellbeing. SSCI Eoin Martino Grua, Mark Hoogendoorn
2018	—	`book`	Machine Learning for the Quantified Self - On the Art of Learning from Sensory Data Mark Hoogendoorn, Burkhardt Funk
2018	B	`conf`	Narrowing Reinforcement Learning: Overcoming the Cold Start Problem for Personalized Health Interventions. PRIMA Seyed Amin Tabatabaei, Mark Hoogendoorn, Aart van Halteren
2018	B	`conf`	Personalization of Health Interventions Using Cluster-Based Reinforcement Learning. PRIMA Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo, Eduardo Barbaro
2018	J	`jnl`	Personalization of Health Interventions using Cluster-Based Reinforcement Learning. CoRR Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo, Eduardo Barbaro
2018	—	`conf`	Predicting Appliance Usage Status In Home Like Environments. DSP Jie Jiang, Mark Hoogendoorn, Qiuqiang Kong, Diederik M. Roijers, Nigel Gilbert
2018	B	`conf`	Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator. PRIMA Ali el Hassouni, Mark Hoogendoorn, Vesa Muhonen
2017	J	`jnl`	Assessment of temporal predictive models for health care using a formal method. Comput. Biol. Medicine Ward van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking
2017	J	`jnl`	Predicting Social Anxiety Treatment Outcome Based on Therapeutic Email Conversations. IEEE J. Biomed. Health Informatics Mark Hoogendoorn, Thomas Berger, Ava Schulz, Timo Stolz, Peter Szolovits
2017	—	`conf`	Using recurrent neural networks to predict colorectal cancer among patients. SSCI Ryan Amirkhan, Mark Hoogendoorn, Mattijs E. Numans, Leon M. G. Moons
2016	—	`conf`	A feature representation learning method for temporal datasets. SSCI Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Gerhard Andersson, Heleen Riper, Jeroen Ruwaard, Kristofer Vernmark
2016	—	`conf`	Prediction using patient comparison vs. modeling: A case study for mortality prediction. EMBC Mark Hoogendoorn, Ali el Hassouni, Kwongyen Mok, Marzyeh Ghassemi, Peter Szolovits
2016	J	`jnl`	Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records. Comput. Biol. Medicine Reinier Kop, Mark Hoogendoorn, Annette ten Teije, Frederike L. Büchner, Pauline Slottje, Leon M. G. Moons, Mattijs E. Numans
2016	J	`jnl`	Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer. Artif. Intell. Medicine Mark Hoogendoorn, Peter Szolovits, Leon M. G. Moons, Mattijs E. Numans
2015	B	`conf`	An Evaluation Framework for the Comparison of Fine-Grained Predictive Models in Health Care. AIME Ward R. J. van Breda, Mark Hoogendoorn, A. E. Eiben, Matthias Berking
2015	B	`conf`	Evaluating Reward Definitions for Parameter Control. EvoApplications Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben
2015	C	`conf`	Evolutionary Dynamic Scripting: Adaptation of Expert Rule Bases for Serious Games. IEA/AIE Reinier Kop, Armon Toubman, Mark Hoogendoorn, Jan Joris Roessingh
2015	B	`conf`	On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer. AIME Reinier Kop, Mark Hoogendoorn, Leon M. G. Moons, Mattijs E. Numans, Annette ten Teije
2015	J	`jnl`	Parameter Control in Evolutionary Algorithms: Trends and Challenges. IEEE Trans. Evol. Comput. Giorgos Karafotias, Mark Hoogendoorn, Ágoston E. Eiben
2015	J	`jnl`	Special issue on advances in applied artificial intelligence. Appl. Intell. Tibor Bosse, Mark Hoogendoorn
2015	J	`jnl`	Tailoring a cognitive model for situation awareness using machine learning. Appl. Intell. Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh
2015	—	`conf`	Using Evolutionary Algorithms to Personalize Controllers in Ambient Intelligence. ISAmI Shu Gao, Mark Hoogendoorn
2014	—	`conf`	A Personalized Support Agent for Depressed Patients: Forecasting Patient Behavior Using a Mood and Coping Model. WI-IAT (3) Reinier Kop, Mark Hoogendoorn, Michel C. A. Klein
2014	—	`conf`	Agent-Based Modeling of Farming Behavior: A Case Study for Milk Quota Abolishment. IEA/AIE (1) Diti Oudendag, Mark Hoogendoorn, Roel Jongeneel
2014	—	`conf`	Co-evolutionary Learning for Cognitive Computer Generated Entities. IEA/AIE (2) Xander Wilcke, Mark Hoogendoorn, Jan Joris Roessingh
2014	—	`conf`	Comparing generic parameter controllers for EAs. FOCI Giorgos Karafotias, Mark Hoogendoorn, Berend Weel
2014	J	`jnl`	Design and validation of a relative trust model. Knowl. Based Syst. Mark Hoogendoorn, Syed Waqar Jaffry, Peter-Paul van Maanen, Jan Treur
2014	A	`conf`	Generic parameter control with reinforcement learning. GECCO Giorgos Karafotias, Ágoston E. Eiben, Mark Hoogendoorn
2014	—	`conf`	Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records. Brain Informatics and Health Mark Hoogendoorn, Leon M. G. Moons, Mattijs E. Numans, Robert-Jan Sips
2013	J	`jnl`	An ambient agent system assisting humans in complex tasks by analysis of a human's state and performance. Int. J. Intell. Inf. Database Syst. 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
2013	J	`jnl`	Formal specification and analysis of intelligent agents for model-based medicine usage management. Comput. Biol. Medicine Mark Hoogendoorn, Michel C. A. Klein, Zulfiqar Ali Memon, Jan Treur
2013	C	`conf`	Learning Parameters for a Cognitive Model on Situation Awareness. IEA/AIE Richard Koopmanschap, Mark Hoogendoorn, Jan Joris Roessingh
2013	J	`jnl`	Modelling biased human trust dynamics. Web Intell. Agent Syst. Mark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen, Jan Treur
2013	J	`jnl`	Modelling collective decision making in groups and crowds: Integrating social contagion and interacting emotions, beliefs and intentions. Auton. Agents Multi Agent Syst. Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
2013	—	`conf`	Parameter control: strategy or luck? GECCO (Companion) Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben
2013	C	`conf`	Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks. IEA/AIE Mark Hoogendoorn
2013	C	`ed.`	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. Proceedings IEA/AIE Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
2013	J	`jnl`	Special Issue "Technology for Mental Health". EAI Endorsed Trans. Ambient Syst. Pietro Cipresso, Mark Hoogendoorn, Michel C. A. Klein, Aleksandar Matic
2013	—	`conf`	The Triangle of Life. ECAL Ágoston E. Eiben, Nicolas Bredèche, Mark Hoogendoorn, Jürgen Stradner, Jon Timmis, Andy M. Tyrrell, Alan F. T. Winfield
2013	J	`jnl`	Utilizing theory of mind for action selection applied in the domain of fighter pilot training. Appl. Intell. Mark Hoogendoorn, Robbert-Jan Merk
2013	B	`conf`	Why parameter control mechanisms should be benchmarked against random variation. IEEE Congress on Evolutionary Computation Giorgos Karafotias, Mark Hoogendoorn, A. E. Eiben
2012	—	`ch.`	A Model of Team Decision Making Using Situation Awareness. Modern Advances in Intelligent Systems and Tools Mark Hoogendoorn, Pieter Huibers, Rianne van Lambalgen, Jan Joris Roessingh
2012	J	`jnl`	A computational model for dynamics of desiring and feeling. Cogn. Syst. Res. Tibor Bosse, Mark Hoogendoorn, Zulfiqar Ali Memon, Jan Treur, Muhammad Umair
2012	C	`conf`	Action Selection Using Theory of Mind: A Case Study in the Domain of Fighter Pilot Training. IEA/AIE Mark Hoogendoorn, Robbert-Jan Merk
2012	J	`jnl`	An intelligent agent model with awareness of workflow progress. Appl. Intell. Fiemke Both, Mark Hoogendoorn, Andy van der Mee, Jan Treur, Michael de Vos
2012	J	`jnl`	Cognitive and neural modeling of dynamics of trust in competitive trustees. Cogn. Syst. Res. Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2012	J	`jnl`	Methods for model-based reasoning within agent-based Ambient Intelligence applications. Knowl. Based Syst. Tibor Bosse, Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur
2012	—	`conf`	On-Line Evolution of Controllers for Aggregating Swarm Robots in Changing Environments. PPSN (2) Berend Weel, Mark Hoogendoorn, A. E. Eiben
2012	—	`conf`	Validation of a Model for Coping and Mood for Virtual Agents. IAT Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein
2011	J	`jnl`	A generic architecture for redesign of organizations triggered by changing environmental circumstances. Comput. Math. Organ. Theory Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
2011	—	`conf`	Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental States. IEA/AIE (2) Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur, C. Natalie van der Wal
2011	J	`jnl`	Agent-Based Modelling of the Emergence of Collective States Based on Contagion of Individual States in Groups. Trans. Comput. Collect. Intell. Mark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
2011	J	`jnl`	Agent-based vs. population-based simulation of displacement of crime: A comparative study. Web Intell. Agent Syst. Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2011	—	`conf`	An Agent-Based Architecture for Model-Based Diagnosis Using Observation Cost. IAT Mark Hoogendoorn, Bas W. Knopper, Andy van der Mee
2011	B	`conf`	An Integrated Agent Model Addressing Situation Awareness and Functional State in Decision Making. PRIMA Mark Hoogendoorn, Rianne van Lambalgen, Jan Treur
2011	J	`jnl`	An ambient agent model for monitoring and analysing dynamics of complex human behaviour. J. Ambient Intell. Smart Environ. Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2011	J	`jnl`	Design and Validation of a Model for a Human's Functional State and Performance. Int. J. Model. Simul. Sci. Comput. Tibor Bosse, Fiemke Both, Mark Hoogendoorn, S. Waqar Jaffry, Rianne van Lambalgen, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael de Vos
2011	B	`conf`	Learning Belief Connections in a Model for Situation Awareness. PRIMA Maria L. Gini, Mark Hoogendoorn, Rianne van Lambalgen
2011	A*	`conf`	Modeling Situation Awareness in Human-Like Agents Using Mental Models. IJCAI Mark Hoogendoorn, Rianne van Lambalgen, Jan Treur
2011	—	`conf`	Modeling and Validation of Biased Human Trust. IAT Mark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen, Jan Treur
2011	—	`conf`	Moving Target Search Using Theory of Mind. IAT Ard C. M. Al, Mark Hoogendoorn
2011	—	`conf`	Performance Measures to Enable Agent-Based Support in Demanding Circumstances. HCI (20) Fiemke Both, Mark Hoogendoorn, Rianne van Lambalgen, Rogier Oorburg, Michael de Vos
2011	—	`conf`	Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients. ICONIP (3) Fiemke Both, Mark Hoogendoorn
2011	—	`conf`	Validation and Verification of Agent Models for Trust: Independent Compared to Relative Trust. IFIPTM Mark Hoogendoorn, S. Waqar Jaffry, Peter-Paul van Maanen
2010	—	`conf`	A Model-Based Ambient Agent Providing Support in Handling Desire and Temptation. PAAMS (Special Sessions and Workshops) Mark Hoogendoorn, Zulfiqar Ali Memon, Jan Treur, Muhammad Umair
2010	—	`conf`	A Three-Dimensional Abstraction Framework to Compare Multi-Agent System Models. ICCCI (1) Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2010	—	`conf`	An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning. Brain Informatics Tibor Bosse, Mark Hoogendoorn, Zulfiqar Ali Memon, Jan Treur, Muhammad Umair
2010	—	`conf`	An Agent Model for Decision Making Based upon Experiences Applied in the Domain of Fighter Pilots. IAT Mark Hoogendoorn, Robbert-Jan Merk, Jan Treur
2010	—	`conf`	An Agent-Based Model for the Interplay of Information and Emotion in Social Diffusion. IAT Mark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
2010	—	`conf`	An Agent-Based Modeling Approach to Investigate Emergent Patterns in Ecological Systems. IAT Jacintha Ellers, Mark Hoogendoorn, David Wendt
2010	—	`conf`	An Intelligent Support System for Diabetic Patients. HEALTHINF Mark Hoogendoorn, Michel C. A. Klein, Nataliya M. Mogles
2010	—	`conf`	Computational Modeling and Analysis of Therapeutical Interventions for Depression. Brain Informatics Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2010	—	`conf`	Computational Modeling and Analysis of the Role of Physical Activity in Mood Regulation and Depression. ICONIP (1) Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2010	A	`conf`	Evaluation of virtual agents utilizing theory of mind in a real time action game. AAMAS Mark Hoogendoorn, Jeremy Soumokil
2010	—	`conf`	Exploration and Exploitation in Adaptive Trust-Based Decision Making in Dynamic Environments. IAT Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2010	—	`conf`	Incorporating Interdependency of Trust Values in Existing Trust Models for Trust Dynamics. IFIPTM Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2010	—	`conf`	Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking. Brain Informatics Mark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
2010	—	`conf`	Modelling the Interplay of Emotions, Beliefs and Intentions within Collective Decision Making Based on Insights from Social Neuroscience. ICONIP (1) Mark Hoogendoorn, Jan Treur, C. Natalie van der Wal, Arlette van Wissen
2010	—	`conf`	Towards Fully Automated Psychotherapy for Adults - BAS - Behavioral Activation Scheduling Via Web and Mobile Phone. HEALTHINF Fiemke Both, Pim Cuijpers, Mark Hoogendoorn, Michel C. A. Klein
2009	—	`conf`	A Generic Personal Assistant Agent Model for Support in Demanding Tasks. HCI (16) 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
2009	B	`conf`	Adaptation and Validation of an Agent Model of Functional State and Performance for Individuals. PRIMA Fiemke Both, Mark Hoogendoorn, S. Waqar Jaffry, Rianne van Lambalgen, Rogier Oorburg, Alexei Sharpanskykh, Jan Treur, Michael de Vos
2009	J	`jnl`	Agent-based analysis and simulation of meta-reasoning processes in strategic naval planning. Knowl. Based Syst. Mark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur
2009	—	`conf`	An Adaptive Agent Model Estimating Human Trust in Information Sources. IAT Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2009	C	`conf`	An Ecological Model-Based Reasoning Model to Support Nature Park Managers. IEA/AIE Mark Hoogendoorn, Jan Treur, Muhammad Umair
2009	J	`jnl`	An adaptive multi-agent organization model based on dynamic role allocation. Int. J. Knowl. Based Intell. Eng. Syst. Mark Hoogendoorn, Jan Treur
2009	—	`conf`	Automated Analysis of Auction Traces. AMEC/TADA Mark Hoogendoorn, Maria L. Gini
2009	C	`conf`	Avoidance of Norm Violation in Multi-Agent Organizations. ECMS Charlotte Gerritsen, Mark Hoogendoorn
2009	—	`conf`	Design and Analysis of an Ambient Intelligent System Supporting Depression Therapy. HEALTHINF Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2009	J	`jnl`	Preferences of agents in decentralized task allocation. AI Commun. Mark Hoogendoorn, Maria L. Gini
2009	—	`conf`	The Influence of Personalities Upon the Dynamics of Trust and Reputation. CSE (3) Mark Hoogendoorn, S. Waqar Jaffry
2008	C	`conf`	A Component-Based Ambient Agent Model for Assessment of Driving Behaviour. UIC Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2008	A	`conf`	Agent-Based and Population-Based Simulation of Displacement of Crime (extended abstract). ECAI Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2008	A	`conf`	Agents Preferences in Decentralized Task Allocation. ECAI Mark Hoogendoorn, Maria L. Gini
2008	—	`conf`	An Ambient Agent Model Exploiting Workflow-Based Reasoning to Recognize Task Progress. AmI Fiemke Both, Mark Hoogendoorn, Jan Treur
2008	—	`conf`	An Ambient Intelligent Agent Model Using Controlled Model-Based Reasoning to Determine Causes and Remedies for Monitored Problems. Web Intelligence/IAT Workshops Rob Duell, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2008	—	`conf`	An Ambient Intelligent Agent with Awareness of Human Task Execution. IAT Fiemke Both, Mark Hoogendoorn, Andy van der Mee, Michael de Vos
2008	—	`conf`	Analysis and Support of Organizational Performance Based on a Labeled Graph Approach. ATOP@AAMAS Mark Hoogendoorn, Jan Treur, Pinar Yolum
2008	—	`conf`	Comparison of Agent-Based and Population-Based Simulations of Displacement of Crime. IAT Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2008	—	`conf`	Formal Analysis of Intelligent Agents for Model-Based Medicine Usage Management. HEALTHINF (1) Mark Hoogendoorn, Michel C. A. Klein, Zulfiqar Ali Memon, Jan Treur
2008	—	`conf`	Formal Verification of an Agent-Based Support System for Medicine Intake. BIOSTEC (Selected Papers) Mark Hoogendoorn, Michel C. A. Klein, Zulfiqar Ali Memon, Jan Treur
2008	J	`jnl`	Formal analysis of empirical traces in incident management. Reliab. Eng. Syst. Saf. Mark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Alexei Sharpanskykh
2008	—	`conf`	Model-based ambient analysis of human task execution. PETRA Fiemke Both, Mark Hoogendoorn, Jan Treur
2008	—	`conf`	Modeling Dynamics of Relative Trust of Competitive Information Agents. CIA Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
2008	A	`conf`	Modeling the Dynamics of Mood and Depression. ECAI Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2008	—	`conf`	Online application for simulating intelligent support for medicine intake. PETRA Mark Hoogendoorn, Michel C. A. Klein, Borre Mosch
2008	—	`conf`	Ontology-Based Business Activity Monitoring Agent. IAT Duco N. Ferro, Mark Hoogendoorn, Catholijn M. Jonker
2007	—	`conf`	A Specification Language for Coordination in Agent Systems. IAT Tibor Bosse, Mark Hoogendoorn, Radu Serban, Jan Treur
2007	A*	`conf`	Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks. IJCAI Mark Hoogendoorn
2007	—	`conf`	An Agent-Based Generic Model for Human-Like Ambience. AmI Workshops Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2007	C	`conf`	Decentralized task allocation using magnet: an empirical evaluation in the logistics domain. ICEC Mark Hoogendoorn, Maria L. Gini, Catholijn M. Jonker
2007	—	`conf`	Formal Design and Simulation of an Ambient Multi-agent System Model for Medicine Usage Management. AmI Workshops Mark Hoogendoorn, Michel C. A. Klein, Jan Treur
2007	—	`conf`	Model-Based Default Refinement of Partial Information within an Ambient Agent. AmI Workshops Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur
2007	—	`conf`	Model-Based Reasoning Methods within an Ambient Intelligent Agent Model. AmI Workshops Tibor Bosse, Fiemke Both, Charlotte Gerritsen, Mark Hoogendoorn, Jan Treur
2007	—	`conf`	Modeling Decentralized Organizational Change in Honeybee Societies. ECAL Mark Hoogendoorn, Martijn C. Schut, Jan Treur
2007	J	`jnl`	Modeling centralized organization of organizational change. Comput. Math. Organ. Theory Mark Hoogendoorn, Catholijn M. Jonker, Martijn C. Schut, Jan Treur
2007	—	`conf`	Specification of Adaptive Client-Tailored Product Models. IEEE SCW Tibor Bosse, Fiemke Both, Mark Hoogendoorn, Jan Treur
2006	—	`conf`	A Labeled Graph Approach to Analyze Organizational Performance. IAT Mark Hoogendoorn, Jan Treur, Pinar Yolum
2006	—	`conf`	Agent-Based Analysis and Support for Incident Management. CIA Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur, Marian Verhaegh
2006	—	`conf`	An Adaptive Multi-agent Organization Model Based on Dynamic Role Allocation. IAT Mark Hoogendoorn, Jan Treur
2006	C	`conf`	Automated Evaluation of Coordination Approaches. COORDINATION Tibor Bosse, Mark Hoogendoorn, Jan Treur
2006	—	`conf`	Formation of Virtual Organizations Through Negotiation. MATES Mark Hoogendoorn, Catholijn M. Jonker
2006	—	`conf`	Redesign of Organizations as a Basis for Organizational Change. COIN@AAMAS/ECAI Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur
2005	—	`conf`	A Labeled Graph Approach to Support Analysis of Organizational Performance. BNAIC Mark Hoogendoorn, Jan Treur, Pinar Yolum
2005	—	`conf`	A Meta-Level Architecture for Strategic Reasoning in Naval Planning (extended abstract). BNAIC Mark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur
2005	C	`conf`	A Meta-level Architecture for Strategic Reasoning in Naval Planning. IEA/AIE Mark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur
2005	—	`conf`	An Agent-Based Meta-level Architecture for Strategic Reasoning in Naval Planning. AOIS Mark Hoogendoorn, Catholijn M. Jonker, Peter-Paul van Maanen, Jan Treur
2005	—	`conf`	The Distributed Weighing Problem: A Lesson in Cooperation Without Communication. MATES Tibor Bosse, Mark Hoogendoorn, Catholijn M. Jonker
2004	—	`conf`	Formal Analysis of Empirical Traces in Incident Management. SGAI Conf. (Applications) Mark Hoogendoorn, Catholijn M. Jonker, Savas Konur, Peter-Paul van Maanen, Viara Popova, Alexei Sharpanskykh, Jan Treur, Lai Xu, Pinar Yolum
2002	—	`conf`	Design of supplier agents for an auction-based market. AOIS@AAMAS Stefan Botman, Mark Hoogendoorn, Vasile Bud, Ashutosh Jaiswal, Steve Hawkins, Yelena Kryzhnyaya, Janice L. Pearce, Anne Scholcraft, Espen Sigvartsen, John Collins, Maria L. Gini