Intention reconsideration in complex environments. - Martijn C. Schut; Michael J. Wooldridge (Agents, 2000)

Principles of intention reconsideration. - Martijn C. Schut; Michael J. Wooldridge (Agents, 2001)

Reasoning about Intentions in Uncertain Domains. - Martijn C. Schut; Michael J. Wooldridge; Simon Parsons (ECSQARU, 2001)

The control of reasoning in resource-bounded agents. - Martijn C. Schut; Michael J. Wooldridge (Knowl. Eng. Rev., 2001)

On Partially Observable MDPs and BDI Models. - Martijn C. Schut; Michael J. Wooldridge; Simon Parsons (Foundations and Applications of Multi-Agent Systems, 2002)

Intention reconsideration. - Martinus Cornelis Schut (2002)

Organisational Change: Deliberation and Modification. - Catholijn M. Jonker; Martijn C. Schut; Jan Treur (CIA, 2003)

Evolving Agent Societies with VUShape. - P. C. Buzing; A. E. Eiben; Martijn C. Schut (ECAL, 2003)

Preference Elicitation without Numbers. - Peter H. M. P. Roelofsma; Martijn C. Schut (AAMAS, 2004)

Cooperation and communication in evolving artificial societies. - P. C. Buzing; A. E. Eiben; Martijn C. Schut; T. Toma (IEEE Congress on Evolutionary Computation, 2004)

APPROACH: Decentralised Rotation Planning for Container Barges. - Martijn C. Schut; Michael Kentrop; Mark Leenaarts; Marco Melis; Ian Miller (ECAI, 2004)

Formal Analysis of Meeting Protocols. - Catholijn M. Jonker; Martijn C. Schut; Jan Treur; Pinar Yolum (MABS, 2004)

Modelling Shared Extended Mind and Collective Representational Content. - Tibor Bosse; Catholijn M. Jonker; Martijn C. Schut; Jan Treur (SGAI Conf., 2004)

The theory and practice of intention reconsideration. - Martijn C. Schut; Michael J. Wooldridge; Simon Parsons (J. Exp. Theor. Artif. Intell., 2004)

Effects of evolutionary and lifetime learning on minds and bodies in an artifical society. - Tamas Buresch; A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Congress on Evolutionary Computation, 2005)

Evolving an agent collective for cooperative mine sweeping. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Congress on Evolutionary Computation, 2005)

Comparative Reproduction Schemes for Evolving Gathering Collectives. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (ECAL, 2005)

Understanding Performance Measurement and Control in Third Party Logistics. - Elfriede Krauth; Hans Moonen; Viara Popova; Martijn C. Schut (ECIS, 2005)

Comparing multicast and newscast communication in evolving agent societies. - A. E. Eiben; Martijn C. Schut; T. Toma (GECCO, 2005)

Agent-Based Modeling of Third-Party Logistics Performance Indicators. - Elfriede Krauth; Hans Moonen; Viara Popova; Martijn C. Schut (IAT, 2005)

Performance Measurement and Control in Logistics Service Providing. - Elfriede Krauth; Hans Moonen; Viara Popova; Martijn C. Schut (ICEIS (2), 2005)

Emerging communication and cooperation in evolving agent societies. - P. C. Buzing; Ágoston E. Eiben; Martijn C. Schut (J. Artif. Soc. Soc. Simul., 2005)

Simulation and Analysis of a Shared Extended Mind. - Tibor Bosse; Catholijn M. Jonker; Martijn C. Schut; Jan Treur (Simul., 2005)

Boosting Genetic Algorithms with Self-Adaptive Selection. - A. E. Eiben; Martijn C. Schut; A. R. de Wilde (IEEE Congress on Evolutionary Computation, 2006)

Reinforcement Learning for Online Control of Evolutionary Algorithms. - A. E. Eiben; Mark Horvath; Wojtek Kowalczyk; Martijn C. Schut (ESOA, 2006)

Is Self-adaptation of Selection Pressure and Population Size Possible? - A Case Study. - A. E. Eiben; Martijn C. Schut; A. R. de Wilde (PPSN, 2006)

Collective Specialization for Evolutionary Design of a Multi-robot System. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Swarm Robotics, 2006)

Collective representational content for shared extended mind. - Tibor Bosse; Catholijn M. Jonker; Martijn C. Schut; Jan Treur (Cogn. Syst. Res., 2006)

Emerging Artificial Societies Through Learning. - Nigel Gilbert; Matthijs den Besten; Ákos Bontovics; Bart G. W. Craenen; Federico Divina; Ágoston E. Eiben; Robert Griffioen; György Hévízi; András Lörincz; Ben Paechter; Stephan C. Schuster; Martijn C. Schut; et al. (J. Artif. Soc. Soc. Simul., 2006)

Emergent specialization in the extended multi-rover problem. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (IEEE Congress on Evolutionary Computation, 2007)

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

Collective specialization in multi-rover systems. - Geoff Nitschke; Martijn C. Schut; A. E. Eiben (GECCO, 2007)

Evolutionary Design of Specialization. - Ágoston E. Eiben; Geoff S. Nitschke; Martijn C. Schut (ALIFE, 2007)

Trust-Based Inter-temporal Decision Making: Emergence of Altruism in a Simulated Society. - Tibor Bosse; Martijn C. Schut; Jan Treur; David Wendt (MABS, 2007)

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

Analysis of meeting protocols by formalisation, simulation, and verification. - Catholijn M. Jonker; Martijn C. Schut; Jan Treur; Pinar Yolum (Comput. Math. Organ. Theory, 2007)

On the Formal Analysis of the Dynamics of Simulated Agent Societies. - A. E. Eiben; Catholijn M. Jonker; Viara Popova; Martijn C. Schut (Int. J. Cooperative Inf. Syst., 2007)

A controller architecture for the evolution of state-persistent controllers: Behaviour oriented decision tree (BODT). - Selmar K. Smit; Robert Griffioen; Martijn C. Schut (IEEE Congress on Evolutionary Computation, 2008)

Intuitive Action Set Formation in Learning Classifier Systems with Memory Registers. - Luís F. Simões; Martijn C. Schut; Evert Haasdijk (ECAI, 2008)

Designing multi-rover emergent specialization. - Geoff Nitschke; Martijn C. Schut (GECCO, 2008)

New Ways to Calibrate Evolutionary Algorithms. - Gusz Eiben; Martijn C. Schut (Advances in Metaheuristics for Hard Optimization, 2008)

An Evolutionary Perspective on Approximate RDF Query Answering. - Christophe Guéret; Eyal Oren; Stefan Schlobach; Martijn C. Schut (SUM, 2008)

What is situated evolution? - Martijn C. Schut; Evert Haasdijk; A. E. Eiben (IEEE Congress on Evolutionary Computation, 2009)

Is situated evolution an alternative for classical evolution? - Martijn C. Schut; Evert Haasdijk; Abraham Prieto (IEEE Congress on Evolutionary Computation, 2009)

On Agent Modelling And System Simulation Of Self-Organisation. - Martijn C. Schut; Nivea Ferreira-Schut (ECMS, 2009)

SOTRIP: a self organizing protocol for traffic information. - G. Tasseron; Martijn C. Schut (IWCMC, 2009)

Formal Analysis of Dynamics within Philosophy of Mind by Computer Simulation. - Tibor Bosse; Martijn C. Schut; Jan Treur (Minds Mach., 2009)

Modelling Dynamic Forgetting in Distributed Information Systems. - Nicolas Höning; Martijn C. Schut (KES-AMSTA (2), 2010)

Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (Evol. Intell., 2010)

On model design for simulation of collective intelligence. - Martijn C. Schut (Inf. Sci., 2010)

Individual-based simulation of sexual selection: A quantitative genetic approach. - David van Dijk; Peter M. A. Sloot; J. C. Tay; Martijn C. Schut (ICCS, 2010)

The Impact of Recommender Systems on Item-, User-, and Rating-Diversity. - Wojtek Kowalczyk; Zoltán Szlávik; Martijn C. Schut (ADMI, 2011)

Embodied artificial evolution: the future of artificial evolutionary systems. - A. E. Eiben; N. Ferreira; Martijn C. Schut; Serge Kernbach (GECCO (Companion), 2011)

Online Adaptation of Path Formation in UAV Search-and-Identify Missions. - Willem H. van Willigen; Martijn C. Schut; A. E. Eiben; Leon J. H. M. Kester (ICANNGA (2), 2011)

Diversity Measurement of Recommender Systems under Different User Choice Models. - Zoltán Szlávik; Wojtek Kowalczyk; Martijn C. Schut (ICWSM, 2011)

Evaluating adaptive cruise control strategies in worst-case scenarios. - Willem H. van Willigen; Martijn C. Schut; Leon J. H. M. Kester (ITSC, 2011)

Approximating safe spacing policies for adaptive cruise control strategies. - Willem H. van Willigen; Martijn C. Schut; Leon J. H. M. Kester (VNC, 2011)

Evolution of Things - A. E. Eiben; N. Ferreira; Martijn C. Schut; Serge Kernbach (CoRR, 2011)

Evolutionary and Swarm Computing for the Semantic Web. - Christophe Guéret; Stefan Schlobach; Kathrin Dentler; Martijn C. Schut; Gusz Eiben (IEEE Comput. Intell. Mag., 2012)

Evolving team behaviors with specialization. - Geoff S. Nitschke; A. E. Eiben; Martijn C. Schut (Genet. Program. Evolvable Mach., 2012)

Evolving behavioral specialization in robot teams to solve a collective construction task. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (Swarm Evol. Comput., 2012)

Impact of Altering Data Granularity Levels on Predictive Modelling: A Case Study of Fall Risk Prediction in Older Persons. - Noman Dormosh; Ameen Abu-Hanna; Nathalie van der Velde; Martijn C. Schut (MIE, 2020)

The Effectiveness of Phrase Skip-Gram in Primary Care NLP for the Prediction of Lung Cancer. - Torec T. Luik; Miguel Rios; Ameen Abu-Hanna; Henk C. P. M. van Weert; Martijn C. Schut (AIME, 2021)

Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care. - Iacopo Vagliano; Wei-Hsiang Hsu; Martijn C. Schut (ICIMTH, 2021)

Interpretable and Continuous Prediction of Acute Kidney Injury in the Intensive Care. - Iacopo Vagliano; Oleksandra Lvova; Martijn C. Schut (MIE, 2021)

Explaining heterogeneity of individual treatment causal effects by subgroup discovery: An observational case study in antibiotics treatment of acute rhino-sinusitis. - W. Qi; Ameen Abu-Hanna; Thamar Eva Maria van Esch; Derek de Beurs; Yuntao Liu; Linda E. Flinterman; Martijn C. Schut (Artif. Intell. Medicine, 2021)

External Validation and Transportability of Models to Predict Acute Kidney Injury in the Intensive Care Unit. - Iacopo Vagliano; Carmen Byrne Salsas; Tina Wünn; Martijn C. Schut (ICIMTH, 2022)

Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands. - Iacopo Vagliano; Sylvia Brinkman; Ameen Abu-Hanna; M. Sesmu Arbous; Dave A. Dongelmans; Paul W. G. Elbers; Dylan W. De Lange; Mihaela van der Schaar; Nicolette F. de Keizer; Martijn C. Schut (Int. J. Medical Informatics, 2022)

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records. - Iacopo Vagliano; Martijn C. Schut; Ameen Abu-Hanna; Dave A. Dongelmans; Dylan W. De Lange; Diederik Gommers; Olaf L. Cremer; Rob J. Bosman; Sander Rigter; Evert-Jan Wils; Tim Frenzel; Remko de Jong; et al. (Int. J. Medical Informatics, 2022)

Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review. - Izak A. R. Yasrebi-de Kom; Dave A. Dongelmans; Nicolette F. de Keizer; Kitty J. Jager; Martijn C. Schut; Ameen Abu-Hanna; Joanna E. Klopotowska (J. Am. Medical Informatics Assoc., 2023)

Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU. - Iacopo Vagliano; Maurice Y. Kingma; Dave A. Dongelmans; Dylan W. De Lange; Nicolette F. de Keizer; Martijn C. Schut (Comput. Biol. Medicine, 2023)

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal. - Iacopo Vagliano; Noman Dormosh; Miguel Rios; Torec T. Luik; T. M. Buonocore; Paul W. G. Elbers; Dave A. Dongelmans; Martijn C. Schut; Ameen Abu-Hanna (J. Biomed. Informatics, 2023)

SeNiors empOWered via Big Data to Joint-Manage Their Medication-Related Risk of Falling in Primary Care: The SNOWDROP Project. - Leonie Westerbeek; Noman Dormosh; André Blom; Martijn W. Heymans; Meefa Hogenes; Annemiek J. Linn; Stephanie Medlock; Martijn C. Schut; Nathalie van der Velde; Henk C. P. M. van Weert; Julia C. M. van Weert; Ameen Abu-Hanna (Commit2Data, 2024)

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges. - Martijn C. Schut; Dave A. Dongelmans; Dylan W. De Lange; Sylvia Brinkman; D. P. Verbiest; L. F. te Velde; E. M. van Driel; T. Rijpstra; P. H. J. Elbers; A. P. I. Houwink; L. Georgieva; E. Verweij; et al. (BMC Medical Informatics Decis. Mak., 2024)