Publications

2018

Ordered preference elicitation strategies for supporting multi-objective decision making

Zintgraf, L. M., Roijers, D. M., Linders, S., Jonker, C. M. & Nowé, A., 2018, 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), Vol. 2, p. 1477-1485 9 p. (AAMAS Electronic Proceedings!
; vol. 2018)

The Explanations People Give for Going to Bed Late: A Qualitative Study of the Varieties of Bedtime Procrastination

Nauts, S., Kamphorst, B. A., Stut, W., De Ridder, D. T. D. & Anderson, J. H., 1 Jan 2018, (Accepted/In press) In : Behavioral Sleep Medicine.

Predicting therapy success and costs for personalized treatment recommendations using baseline characteristics: Data-driven analysis

Bremer, V., Becker, D., Kolovos, S., Funk, B., Van Breda, W., Hoogendoorn, M. & Riper, H., 21 Aug 2018, In : Journal of Medical Internet Research. 20, 8, p. 1-11 11 p., e10275

Directed locomotion for modular robots with evolvable morphologies

Lan, G., Jelisavcic, M., Roijers, D. M., Haasdijk, E. & Eiben, A. E., 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Fonseca, C. M., Lourenco, N., Machado, P., Paquete, L., Whitley, D. & Auger, A. (eds.).span>Springer/Verlag, Vol. 1, p. 476-487 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11101 LNCS)

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

Zintgraf, L. M., Roijers, D. M., Linders, S., Jonker, C. M. & A. 10 Jul 2018 AAMAS 2018: Proceedings of the Seventeenth International Joint Conference on Autonomous Agents and Multi-Agent Systems. 9 p.

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems

Bargiacchi, E., Verstraeten, T., Roijers, D. M., A. & Van Hasselt, H. Jul 2018 ICML 2018: Proceedings of the 35th International Conference on Machine Learning. Stockholm, Vol. 50, 9 p.

Reinforcement learning to provide feedback and support

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 203-214 12 p. (Cognitive Systems Monographs; vol. 35)

Discussion

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 217-221 5 p. (Cognitive Systems Monographs; vol. 35)

Too depleted to turn in: The relevance of end-of-the-day resource depletion for reducing bedtime procrastination

Kamphorst, B. A., Nauts, S., De Ridder, D. T. D. & Anderson, J. H. 14 Mar 2018 In : Frontiers in Psychology. 9, March, p. 1-7 7 p., 252

Quantifying selection pressure

Haasdijk, E. & Heinerman, J. Jun 2018 In :Evolutionary computation. 26, 2, p. 213-235 23 p.

Predictive modeling in e-mental health: A common language framework

Becker, D., van Breda, W., Funk, B., Hoogendoorn, M., Ruwaard, J. & Riper, H. 1 Jun 2018 In : Internet Interventions. 12, p. 57-67 11 p.

Using recurrent neural networks to predict colorectal cancer among patients

Amirkhan, R., Hoogendoorn, M., Numans, M. E. & Moons, L. 5 Feb 2018 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 – Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January, p. 1-8 8 p.

Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data

Mikus, A., Hoogendoorn, M., Rocha, A., Gama, J., Ruwaard, J. & Riper, H. Jun 2018 In : Internet Interventions. 12, p. 105-110 6 p.

Predictive modeling without notion of time

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Cognitive Systems Monographs. Springer/Verlag, Vol. 35, p. 123-165 43 p. (Cognitive Systems Monographs; vol. 35)

Handling noise and missing values in sensory data

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 25-50 26 p. (Cognitive Systems Monographs; vol. 35)

Clustering

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 73-100 28 p. (Cognitive Systems Monographs; vol. 35)

Predictive modeling with notion of time

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 167-202 36 p. (Cognitive Systems Monographs; vol. 35)

Basics of sensory data

Hoogendoorn, M. & Funk, B. 1 Jan 2018 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Springer/Verlag, p. 15-24 10 p. (Cognitive Systems Monographs; vol. 35)

Analysing the Relative Importance of Robot Brains and Bodies

Jelisavcic, M. J., Roijers, D. M. & Eiben, A. E. 23 Jul 2018 Artificial Life Conference Proceedings. 30 ed. Tokyo: MIT Press Journals, p. 327 334 p.

Assessment of temporal predictive models for health care using a formal method

van Breda, W., Hoogendoorn, M., Eiben, A. E. & Berking, M. 1 Aug 2017 In : Computers in Biology and Medicine. 87, p. 347-357

Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs

Diederik M. Roijers, Erwin Walraven,and Matthijs T.J. Spaan. June 2018 in ICAPS 2018: Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling (To Appear.)

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making

Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, and Ann Nowé July 2018 in AAMAS 2018: Proceedings of the Seventeenth International Joint Conference on Autonomous Agents and Multi-Agent Systems (To Appear.)

Revolve: A Versatile Simulator for Online Robot Evolution

Hupkes, E., Jelisavcic, M. J. & Eiben, A. E. 8 Mar 2018 Applications of Evolutionary Computation: EvoApplications 2018. Sim, K. & Kaufmann, P. (eds.). Springer, Vol. 10784, p. 687-702 16 p. (Lecture Notes in Computer Science)

Search Space Analysis of Evolvable Robot Morphologies

da Silva Miras de Araujo, K., Haasdijk, E., Glette, K. & Eiben, A. E. 8 Mar 2018 EvoApplications 2018: Applications of Evolutionary Computation. Sim, K. & Kaufmann, P. (eds.). Cham: Springer International Publishing AG,!
Vol. 10784, p. 703-718 16 p. (Lecture Notes in Computer Science)

2017

Mathematical foundations for supervised learning

Hoogendoorn, M. & Funk, B. 27 Sep 2017 Machine Learning or the Quantified Self: On the Art of Learning from Sensory Data.Springer/Verlag, Vol. 35, p. 101-121 21 p. (Cognitive Systems Monographs; vol. 35)

Introduction

Hoogendoorn, M. & Funk, B. 27 Sep 2017 Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data.Springer/Verlag, Vol. 35, p. 1-12 12 p. (Cognitive Systems Monographs; vol. 35)

Feature engineering based on sensory data

Hoogendoorn, M. & Funk, B. 27 Sep 2017 Machine Learning for the Quantified Self : On the Art of Learning from Sensory Data.Springer/Verlag, p. 51-70 20 p. (Cognitive Systems Monographs; vol. 35)

Acquiring moving skills in robots with evolvable morphologies: Recent results and outlook

Jelisavcic, M., Haasdijk, E. & Eiben, A. E. 2017 GECCO 2017 – Proceedings of the Genetic and Evolutionary Computation Conference Companion. (GECCO 2017 – Proceedings of the Genetic and Evolutionary Computation Conference Companion)

Analysis of Lamarckian Evolution in Morphologically Evolving Robots

Jelisavcic, M., Kiesel, R., Glette, K., Haasdijk, E. & Eiben, A. E. Sep 2017 Proceedings of the European Conference on Artificial Life 2017, ECAL 2017. MIT Press, 8 p.

Multi-rendezvous spacecraft trajectory optimization with beam P-ACO

Simões, L. F., Izzo, D., Haasdijk, E. & Eiben, A. E. 2017 Evolutionary Computation in Combinatorial Optimization -17th European Conference, EvoCOP 2017, Proceedings. Springer/Verlag, Vol. 10197 LNCS, p. 141-156 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10197 LNCS)

Real-World Evolution of Robot Morphologies: A Proof of Concept

Jelisavcic, M., De Carlo, M., Hupkes, E., Eustratiadis, P., Orlowski, J., Haasdijk, E., E. Auerbach, J. & Eiben, A. E. Jun 2017 In : Artificial life. 23, 2, p. 206-235 30 p.

A feature representation learning method for temporal datasets

van Breda, W., Hoogendoorn, M., Eiben, G., Andersson, G., Riper, H., Ruwaard, J. & Vernmark, K. 9 Feb 2017 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers, Inc., p. 1-8 8 p. 7849890

Introduction to the Evolution of Physical Systems Special Issue

Rieffel, J., Mouret, J. B., Bredeche, N. & Haasdijk, E. 1 May 2017 In : Artificial life. 23, 2, p. 119-123 5 p.

Incorporating User Feedback in Embodied Evolution

Kemeling, M. & Haasdijk, E. 2017 Proceedings of the 2017 on Genetic and Evolutionary Computation Conference Companion. ACM

Reweighting Rewards in Embodied Evolution to Achieve a Balanced Distribution of Labour

Bangel, S. & Haasdijk, E. 2017 Proceedings of the European Conference on Artificial Life 2017, ECAL 2017. MIT Press

Predicting Individual Trip Destinations With Artificial Potential Fields.

Zonta, A., Smit, S. K. & Haasdijk, E. 26 May 2017 Smart Cities: Second International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings. Springer/Verlag, p. 118-127

Introducing a Continuous Measure of Future Self-Continuity

Kamphorst, B. A., Nauts, S. & Blouin-Hudon, E. M. 1 Jun 2017 In : Social Science Computer Review. 35, 3, p. 417-421 5 p.

2016

Tutorials at PPSN 2016

Doerr, C. , Bredeche, N. , Alba, E. , Bartz-Beielstein, T. , Brockhoff, D. , Doerr, B. , Eiben, G. , Epitropakis, M. G. , Fonseca, C. M. , Guerreiro, A. , Haasdijk, E. , Heinerman, J. , Hubert, J. , Lehre, P. K. , Malagò, L. , Merelo, J. J. , Miller, J. , Naujoks, B. , Oliveto, P. , Picek, S. & 9 others Pillay, N., Preuss, M., Ryser-Welch, P., Squillero, G., Stork, J., Sudholt, D., Tonda, A., Whitley, D. & Zaefferer, M. 2016 Parallel Problem Solving from Nature – 14th International Conference, PPSN 2016, Proceedings. Springer/Verlag, Vol. 9921 LNCS, p. 1012-1022 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9921 LNCS)

Applications of evolutionary computation: 19th European conference, Evoapplications 2016 Porto, Portugal, March 30 – April 1, 2016 proceedings, part II

Squillero, G. , Burelli, P. , Bacardit, J. , Brabazon, A. , Cagnoni, S. , Cotta, C. , De Falco, I. , Cioppa, A. D. , Divina, F. , Eiben, A. E. , Esparcia-Alcàza, A. I. , de Vega, F. F. , Glette, K. , Haasdijk, E. , Hidalgo, J. I. , Hu, T. , Kampouridis, M. , Kaufmann, P. , Mavrovouniotis, M. , Mora García, A. M. & 6 others Nguyen, T. T., Schaefer, R., Sim, K., Tarantino, E., Urquhart, N. & Zhang, M. 2016 Applications of Evolutionary Computation – 19th European Conference, EvoApplications 2016, Proceedings. Springer/Verlag, Vol. 9598, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9598)

Applications of evolutionary computation: 19th European conference, evoapplications 2016 Porto, Portugal, march 30 – april 1, 2016 proceedings, part I

Squillero, G. , Burelli, P. , Bacardit, J. , Brabazon, A. , Cagnoni, S. , Cotta, C. , De Falco, I. , Cioppa, A. D. , Divina, F. , Eiben, A. E. , Esparcia-Alcázar, A. I. , de Vega, F. F. , Glette, K. , Haasdijk, E. W. , Hidalgo, J. I. , Hu, T. , Kampouridis, M. , Kaufmann, P. , Mavrovouniotis, M. , García, A. M. M. & 6 others Nguyen, T. T., Schaefer, R., Sim, K., Tarantino, E., Urquhart, N. & Zhang, M. 2016 Applications of Evolutionary Computation – 19th European Conference, EvoApplications 2016, Proceedings. Springer/Verlag, Vol. 9597, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9597)

Improving RL Power for On-Line Evolution of Gaits in Modular Robots

Jelisavcic, M., De Carlo, M., Haasdijk, E. & Eiben, A. E. 6 Dec 2016 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. Institute of Electrical and Electronics Engineers, Inc., p. 1-8 8 p. 7850166

Increasing Reward in Biased Natural Selection Decreases Task Performance

Haasdijk, E. W. & Eigenhuis, F. 2016 The 15th International Conference on the Synthesis and Simulation of Living Systems (ALife XV). Cancun: MIT Press

Prediction using patient comparison vs. modeling: A case study for mortality prediction

Hoogendoorn, M., El Hassouni, A., Mok, K., Ghassemi, M. & Szolovits, P. 13 Oct 2016 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers, Inc., Vol. 2016-October, p. 2464-2467 4 p. 7591229

Exploring and comparing machine learning approaches for predicting mood over time

van Breda, W., Pastor, J., Hoogendoorn, M., Ruwaard, J., Asselbergs, J. & Riper, H. 2016 Innovation in Medicine and Healthcare 2016. Springer Science and Business Media Deutschland GmbH, Vol. 60, p. 37-47 11 p. (Smart Innovation, Systems and Technologies; vol. 60)

How long did it last? Memorizing interval timings in a simple robotic task

Hubert, J. G. & Ikegami, T. 2016 Proceedings of the Artificial Life Conference 2016. Gershenson, C., Froese, T., Siqueiros, J. M., Aguilar, W., Izquierdo, E. J. & Sayama, H. (eds.). p. 406-407

2015

Applications of Evolutionary Computation

Mora, A. M. , Squillero, G. , Di Chio, C. , Agapitos, A. , Cagnoni, S. , Cotta, C. , Fernández De Vega, F. , Di Caro, G. A. , Drechsler, R. , Ekárt, A. , Esparcia-Alcázar, A. I. , Farooq, M. , Langdon, W. B. , Merelo-Guervós, J. J. , Preuss, M. , Richter, O-M. H. , Silva, S. , Sim$\$~oes, A. , Squillero, G. , Tarantino, E. & 70 others Tettamanzi, A. G. B., Togelius, J., Urquhart, N., Uyar, A. S., Yannakakis, G. N., Smith, S. L., Caserta, M., Ramirez, A., Voß, S., Squillero, G., Burelli, P., Mora, A. M., Squillero, G., Jan, M., Matthias, M., Di Chio, C., Agapitos, A., Cagnoni, S., Cotta, C., Fernández De Vega, F., Di Caro, G. A., Drechsler, R., Ekárt, A., Esparcia-Alcázar, A. I., Farooq, M., Langdon, W. B., Merelo-Guervós, J. J., Preuss, M., Richter, O-M. H., Silva, S., Sim$\$~oes, A., Squillero, G., Tarantino, E., Tettamanzi, A. G. B., Togelius, J., Urquhart, N., Uyar, A. S., Yannakakis, G. N., Caserta, M., Ramirez, A., Voß, S., Squillero, G., Burelli, P., Esparcia-Alcazar, A. I., Silva, S., Agapitos, A., Cotta, C., De Falco, I., Cioppa, A. D., Diwold, K., Ekart, A., Tarantino, E., Vega, F. F. D., Burelli, P., Sim, K., Cagnoni, S., Simoes, A., Merelo, J. J., Urquhart, N., Haasdijk, E., Zhang, M., Squillero, G., Eiben, A. E., Tettamanzi, A. G. B., Glette, K., Rohlfshagen, P., Schaefer, R., Caserta, M., Ramirez, A. & Voß, S. 2015 Springer International Publishing Switzerland. 29 p.

Applications of evolutionary computation: 18th European Conference, EvoApplications 2015 Copenhagen, Denmark, April 8–10, 2015 proceedings

Mora, A. M. , Squillero, G. , Agapitos, A. , Burelli, P. , Bush, W. S. , Cagnoni, S. , Cotta, C. , De Falco, I. , Cioppa, A. D. , Divina, F. , Eiben, A. E. , Esparcia-Alcázar, A. I. , de Vega, F. F. , Glette, K. , Haasdijk, E. , Hidalgo, J. I. , Kampouridis, M. , Kaufmann, P. , Mavrovouniotis, M. , Nguyen, T. T. & 5 others Schaefer, R., Sim, K., Tarantino, E., Urquhart, N. & Zhang, M. 2015 Applications of Evolutionary Computation – 18th European Conference, EvoApplications 2015, Proceedings. Springer/Verlag, Vol. 9028, (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9028)

Evolution, Individual Learning, and Social Learning in a Swarm of Real Robots

Heinerman, J. V., Rango, M. & Eiben, A. E. 2015 2015 IEEE International Conference on Evolvable Systems (ICES). Capetown, SA: IEEE

Three-fold Adaptivity in Groups of Robots: The Effect of Social Learning

Heinerman, J., Drupsteen, D. & Eiben, A. E. 2015 GECCO 2015 – Proceedings of the 2015 Genetic and Evolutionary Computation Conference. Madrid, SP: Association for Computing Machinery, Inc, p. 177-183 7 p.

Healthy Lifestyle Solutions: White Paper

Anderson, J., Klein, M., Beun, R. J., Boh, B., Kamphorst, B., Manzoor Rajper, A., Middelweerd, A., Mollee, J., Nauts, S., Roefs, A. & te Velde, S. 17 Nov 2015 National Initiative Brain & Cognition. 45 p.