Scientific Publications

Quick browse by year:


      • Croon, G.C.H.E. de, Postma, E.O., & Herik, H.J. van den (2011). Adaptive Gaze Control for Object Detection. Cognitve Computation, 3(1), 264-278.
      • Stiphout, R.G.P.M. van, Lammering, G., Buijsen, J., Janssen, M.H.M., Gambacorta, M.A., Slagmolen, P., Lambrecht, M., Rubello, D., Gava, M., Giordano, A., Postma, E.O., Haustermans, K., Capirci, C., Valentini, V., & Lambin, P. (2011). Development and external validation of a predictive model for pathological complete response of rectal cancer patients including sequential PET-CT imaging. Radiotherapy and Oncology, 98(1), 126-133.
      • Joosten, B., Amelsvoort, M. van, Krahmer, E.J., & Postma, E.O. (2011). Thin slices of head movements during problem solving reveal level of difficulty. Auditory-Visual Speech Processing.


      • Janssens, J.H.M., Hiemstra, H., & Postma, E.O. (2010). Creating artificial vessel trajectories with Presto. In . unknown (Ed.), Proceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010)(pp. 1-2). Luxembourg.
      • Maaten, L.J.P. van der, & Postma, E.O. (2010). Texton-based analysis of paintings. In A. Tescher (Ed.), Proceedings of the SPIE Optical Engineering and Applications, 7798, 7789OH, San Diego: The International Society for Optical Engineering.
      • Ponsen, M., Croonenborghs, T., Tuyls, K.P., Ramon, J., Driessens, K., Herik, H.J. van den, & Postma, E.O. (2010). Learning with whom to communicate using relational reinforcement learning. In R. Babuška & F. Groen (Eds.),Studies in Computational Intelligence. Vol. 281 (pp. 45-65). Berlin/Heidelberg: Springer-Verlag.
      • Stiphout, R.G.P.M. van, Postma, E.O., Valentini, V., & Lambin, P. (2010). The contribution of machine learning to predicting cancer outcome. In . (Ed.), Proceedings of the BNAIC 2010 (pp. 1-7). University of Luxembourg: Luxembourg.


      • Berezhnoy, I.J., Postma, E.O., & Herik, H.J. van den (2009). Automatic extraction of brushstroke orientation from paintings. Machine Vision and Applications Journal, 20, 1-9.
      • Boon, P., Maaten, L. van der, Paijmans, H., Postma, E.O., & Lange, G. (2009). Digital Support for Archaeology, Interdisciplinary Science Reviews, 34, 189-205.
      • Croon, G. de, Sprinkhuizen-Kuyper, I.G., & Postma, E.O. (2009). Comparing active vision models. Image and Vision Computing, 27, 374-384.
      • Janssens, J.H.M., Flesch, I., & Postma, E.O. (2009). Outlier detection with one-class classifiers from ML and KDD. Proceedings of Machine Learning and Applications (ICMLA ’09), pp. 147-153.
      • Flesch, I. & Postma, E.O. (2009). Simplifying learning in non-repetitive dynamic Bayesian networks. In C. Sossai & G. Chemello (Eds.), Symbolic and Quantitative Approaches to Reasoning with Uncertainty. 10th European Conference, ECSQARU 2009, Verona, Italy Vol. 5590. Lecture Notes in Computer Science (pp. 216-227). Berlin/Heidelberg: Springer.


      • Capalbo, M., Postma, E.O., & Goebel, R. (2008). Combining Structural Connectivity and Response Latencies to Model the Structure of the Visual System. PLoS Computational Biology, 4(8): e1000159 doi:10.1371/journal.pcbi.1000159
      • Johnson, C.R, Hendriks, E., Berezhnoy, I.J., Brevdo, E., Huges, S.M., Daubechies, I., Li, J., Postma, E.O., & Wang, J. (2008). Image Processing for Artist Identification, IEEE Signal Processing Magazine, 25, 4, 27-48.
      • Lacroix, J., Postma, E.O., Herik, H.J. van den, & Murre, J. (2008). Toward a Visual Cognitive System using Active Top-Down Saccadic Control. International Journal of Humanoid Robotics, 5, 2, 225-246.
      • Torben-Nielsen, B., Tuyls, K., & Postma, E.O. (2008). EvOL-Neuron: Neuronal morphology generation. Neurocomputing, 71, 4-6, 963-972.
      • Torben-Nielsen, B., Vanderlooy, S., & Postma, E.O. (2008). Non-parametric algorithmic generation of neuronal morphologiesNeuroinformatics, 6 (4), 257-277.
      • Spronck, P.H.M., Sprinkhuizen-Kuyper, I.G., & Postma, E.O. (2008). DECA: The Doping-driven Evolutionary Control Algorithm. Applied Artificial Intelligence, 22, 3, 169-197.


      • Postma, E.O., Herik, H.J. van den, & Lubbe, J.C.A. van der (2007). Paintings and writings in the hands of scientists. (Editorial) Pattern Recognition Letters, 28, 671-672.
      • Bergboer, N.H., Postma, E.O., & Herik, H.J. van den (2007). Accuracy versus Speed in Context-Based Object Detection. Pattern Recognition Letters, 28, 686-694.
      • Berezhnoy, I.J., Postma, E.O., & Herik, H.J. van den (2007). Computer Analysis of Van Gogh’s Complementary Colours. Pattern Recognition Letters, 28, 703-709.
      • Croon, G. de, & Postma, E.O. (2007). Sensory-motor coordination in object detection. Proceedings of Artificial Life (ALIFE ’07), IEEE Symposium, 147-154.
      • Pullen, J., Rodijnen, N.M., Postma, E.O., Stolk, L.M.L., Neef, C., & Zimmermann, L.J.I. (2007). Application of Artificial Neural Network Modeling to predict Gentamicin clearance in neonates: Preliminary study. Pharmacokinetics and Dosing of Antibiotics in Neonates, 1.
      • Torben-Nielsen, B., Tuyls, K., & Postma, E.O. (2007). On the neuronal morphology-function relationship: a synthetic approach. Knowledge Discovery and Emergent Complexity in Bioinformatics, 131-144.
      • Maaten, L. van der, & Postma, E.O. (2007). Texton-based texture classification. Proceedings of the Belgium-Netherlands Artificial Intelligence Conference (BNAIC’07).
      • Lacroix, J., Postma, E.O., & Herik, H. van den (2007). Modeling visual classification using bottom-up and top-down fixation selection. Proceedings of the 29th Annual Meeting of the Cognitive Science Society.


      • Bergboer, N.H., Postma, E.O., & Herik, H.J. van den (2006). Context-based object detection in still images. Image and Vision Computing 24 (9), 987-1000.
      • Spronck, P.H.M., Ponsen, M., Sprinkhuizen-Kuyper, I.G., & Postma, E.O. (2006). Adaptive game AI with dynamic scripting. Machine Learning, 63 (3), 217-248.
      • Lacroix, J.P.W., Murre, J.M.J, Postma, E.O., & Herik, H.J. van (2006). Modeling recognition memory using the similarity structure of natural input Cognitive Science, 30, 121-145.
      • Croon, G. de, Postma E.O., & Herik H.J. van den (2006). A situated model for sensory-motor coordination in gaze control Pattern Recognition Letters, 27 (11), 1181-1190.
      • Vanderlooy, S., Postma, E.O., Tuyls, K., & Sprinkhuizen-Kuyper, I. (2006). Reliable Instance Classification in Law Enforcement. Proceedings of the 18th Benelux Conference on Artificial Intelligence, 323-330.
      • Lacroix, J., Postma, E.O., Hommel, B., & Haazebroek, P. (2006). NIM as a brain for a humanoid robot. Proceedings of the Toward Cognitive Humanoid Robots workshop at the IEEE-RAS.
      • Torben-Nielsen, B., Tuyls, K., & Postma, E.O. (2006). Towards robotic self-repair by means of neuronal remodelling. Proceedings of Adaptation in Artificial and Biological Systems (AISB2006), Bristol, England.
      • Lacroix, J., Postma, E.O., & Murre, J.M.J. (2006). Knowledge-driven gaze control in the NIM model. Proceedings of the 28th Annual Meeting of the Cognitive Science Society.


      • van Dartel, M.F., Sprinkhuizen-Kuyper, I.G., Postma E.O., & Herik H.J. van den (2005). Reactive agents and perceptual ambiguity. Adaptive Behavior,13 (3), 227-242.
      • Persoon, L., Murrer, L., & Postma, E.O. (2005). Registration of megavoltage and kilovoltage images for automated setup verification on Electronic Portal Imaging Device (EPID) images. Radiotherapy & Oncology, 76, S132-S133.
      • Bergboer, N., Postma, E.O., & Herik, H. van den (2005). Visual object detection for the cultural heritage. Humanities, Computers and Cultural Heritage, 33.
      • Croon, G., Postma, E.O., & Herik H. van den (2005). Sensory-motor coordination in gaze control. Applications of Evolutionary Computing, 334-344.


      • van Dartel M.F., Postma E.O., Herik H.J. van den, & de Croon G. (2004). Macroscopic analysis of robot foraging behaviour. Connection Science, 16 (3), 169 – 181.
      • Spronck, P.H.M., Sprinkhuizen-Kuyper, I.G., & Postma, E.O. (2004). Online adaptation of game opponent AI with dynamic scripting. International Journal of Intelligent Games and Simulation, 3 (1), 45-53.
      • Spronck, P., Sprinkhuizen-Kuyper, I., & Postma, E.O. (2004). Enhancing the performance of dynamic scripting in computer games. Entertainment Computing – ICEC 2004, 385-397.


      • Andras, P., Postma, E.O., & Herik, H.J. van den (2001). Natural dynamics and neural networks: searching for efficient preying dynamics in a virtual world. Journal of Intelligent Systems, 3(3), 173-202.
      • Kortmann, R., Postma, E.O., & Herik, H.J. van den (2001). Evolution of visual systems constrained by a resolution trade-off. Artificial Life, 7 (2), 125-145.


      • Kasabov, N.K., Postma, E.O., & Herik, H.J. van den (2000). AVIS: a connectionist-based framework for integrated auditory and visual information processing. Information Sciences, 123 (1-2), 127-148.


      • Postma, E.O., Herik, H.J. van den, & Hudson, P.T.W. (1998). A chorus of geons. Behavioral and Brain Sciences (commentary), 21 (4), p. 479.