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Hoogendoorn, Mark [Author]; Funk, Burkhardt [Author]

Machine learning for the quantified self : on the art of learning from sensory data

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Cham: Springer, [2018]

Published in: Cognitive systems monographs ; 35
Becker, Dennis [Author] ; Funk, Burkhardt [Degree supervisor]; Hoogendoorn, Mark [Other]; Niemeyer, Peter [Other]

Computerized assistance in online mental health treatment

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https://d-nb.info/1230628347/34

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Lüneburg: Leuphana Universität Lüneburg, 2021
Becker, Dennis [Author] ; Funk, Burkhardt [Degree supervisor]; Hoogendoorn, Mark [Degree supervisor]; Niemeyer, Peter [Degree supervisor]

Computerized assistance in online mental health treatment

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https://nbn-resolving.org/urn:nbn:de:gbv:luen4-opus4-11263

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Lüneburg: Leuphana Universität Lüneburg, 2021$gkumulative Dissertation
Hoogendoorn, Mark [Editor]; Rollman, Bruce [Editor]; Lambkin, Frances Kay [Editor]; Ven, Pepijn van de [Editor] ; International Society for Research on Internet Interventions Scientific Meeting 11. 2022 Pittsburgh

International Society for Research on Internet Interventions 11th Scientific Meeting

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https://www.sciencedirect.com/journal/procedia-computer-science/vol/206/suppl/C

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[Amsterdam u.a.]: Elsevier, 2022

Published in: Procedia computer science ; 206
Ali, Moonis [Author] ; Bosse, Tibor [Other]; Hindriks, Koen V. [Other]; Hoogendoorn, Mark [Other]; Jonker, Catholijn M. [Other]; Treur, Jan [Other]

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

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Berlin, Heidelberg: Springer, 2013

Published in: Lecture notes in computer science ; 7906
Hoogendoorn, Mark

Recent Trends in Applied Artificial Intelligence: Predicting Human Behavior in Crowds: Cognitive Modeling versus Neural Networks

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Springer Berlin Heidelberg, 2013

Published in: Recent Trends in Applied Artificial Intelligence
Bosse, Tibor; Hoogendoorn, Mark

Special issue on advances in applied artificial intelligence

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Springer Science and Business Media LLC, 2015

Published in: Applied Intelligence
Both, Fiemke; Hoogendoorn, Mark

Neural Information Processing: Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients

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Springer Berlin Heidelberg, 2011

Published in: Neural Information Processing
Hoogendoorn, Mark; Treur, Jan

An adaptive multi-agent organization model based on dynamic role allocation

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IOS Press, 2009

Published in: International Journal of Knowledge-based and Intelligent Engineering Systems
Hoogendoorn, Mark; Gini, Maria

Preferences of agents in decentralized task allocation

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IOS Press, 2009

Published in: AI Communications
Hoogendoorn, Mark; Merk, Robbert-Jan

Utilizing theory of mind for action selection applied in the domain of fighter pilot training

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Springer Science and Business Media LLC, 2013

Published in: Applied Intelligence
Hoogendoorn, Mark; Merk, Robbert-Jan

Advanced Research in Applied Artificial Intelligence: Action Selection Using Theory of Mind: A Case Study in the Domain of Fighter Pilot Training

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Springer Berlin Heidelberg, 2012

Published in: Advanced Research in Applied Artificial Intelligence
Hoogendoorn, Mark; Jonker, Catholijn M.

Multiagent System Technologies: Formation of Virtual Organizations Through Negotiation

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Springer Berlin Heidelberg, 2006

Published in: Multiagent System Technologies
Silvestrin, Luis P.; Pantiskas, Leonardos; Hoogendoorn, Mark

Machine Learning, Optimization, and Data Science: A Framework for Imbalanced Time-Series Forecasting

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Springer International Publishing, 2022

Published in: Machine Learning, Optimization, and Data Science
Tabatabaei, Seyed Amin; Klein, Jan; Hoogendoorn, Mark

Machine Learning, Optimization, and Data Science: Estimating the $$F_1$$ Score for Learning from Positive and Unlabeled Examples

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Springer International Publishing, 2020

Published in: Machine Learning, Optimization, and Data Science
Hassouni, Ali el; Hoogendoorn, Mark; Muhonen, Vesa

Lecture Notes in Computer Science: Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator

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Springer International Publishing, 2018

Published in: Lecture Notes in Computer Science
Karafotias, Giorgos; Hoogendoorn, Mark; Eiben, A. E.

Applications of Evolutionary Computation: Evaluating Reward Definitions for Parameter Control

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Springer International Publishing, 2015

Published in: Applications of Evolutionary Computation
Karafotias, Giorgos; Hoogendoorn, Mark; Eiben, A. E.

Parameter Control in Evolutionary Algorithms: Trends and Challenges

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Institute of Electrical and Electronics Engineers (IEEE), 2015

Published in: IEEE Transactions on Evolutionary Computation
Koopmanschap, Richard; Hoogendoorn, Mark; Roessingh, Jan Joris

Tailoring a cognitive model for situation awareness using machine learning

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Springer Science and Business Media LLC, 2015

Published in: Applied Intelligence
Oudendag, Diti; Hoogendoorn, Mark; Jongeneel, Roel

Modern Advances in Applied Intelligence: Agent-Based Modeling of Farming Behavior: A Case Study for Milk Quota Abolishment

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Springer International Publishing, 2014

Published in: Modern Advances in Applied Intelligence

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