Díaz, J., Ros, R., Pelayo, F., Ortigosa, E.M. and Mota, S. (2005) FPGA based real-time optical-flow system. IEEE Transactions on Circuits for Video Technology, 16(2), 274-279.

Mota, S., Ros, E., Díaz, J., Ortigosa, E.M. and Prieto, A. (2005) Motion-Driven Segmentation by Competitive Neural Processing. Neural Processing Letters, 22(2), 125-147.

Wörgötter, F. et al. (2004).Early cognitive vision: Using Gestalt-laws for task-dependent ,active, image-processing. Natural Computing 3: pp 293-321

Lappe, M. (2004).Building blocks for time-to-contact estimation by the brain. In: H. Hecht and G. Savelsberg (Eds.), Theories of Time-to-Contact. Advances in Psychology Series, Elsevier, 39-52.

Porr, B. and Wörgötter, F. (2003) Isotropic sequence order learning. Neural Comp., 15, 831-864.

Porr, B., v. Ferber, C. and Wörgötter, F. (2003) ISO-learning approximates a solution to the inverse controller problem in an unsupervised behavioural paradigm. Neural Comp. 15, 865-884.

Sabatini, S.P., Solari, F., Cavalleri, P. and Bisio, G.M. (2003). Phase-based binocular perception of Motion-in-depth: Cortical-like operators and aVLSI Architectures. EURASIP Journal on Applied Signal Processing, 7, 690-702.

Gautama, T. and Van Hulle, M.M. (2002). A phase-based approach to the estimation of the optical flow field using spatial filtering. IEEE Trans. Neural Networks, 13(5), 1127 -1136.

Krüger, N. and Wörgötter, F. (2002). Multi Modal Estimation of Collinearity and Parallelism in Natural Image Sequences. Network: Computation in Neural Systems, 13(4), 553-576.

Solari, F., Sabatini S.P. and Bisio, G.M. (2001). Fast technique for phase-based disparity estimation with no explicit calculation of phase. Electronic Letters, 37(23), 1382-1383.

Frenz, H., Kolesnik, M., Bührmann, T., and Lappe, M. Estimation of Travel Distance from Visual Motion in Virtual Environments. ACM Transactions on Applied Perception (in press).*

Frenz, H., and Lappe, M. (2006) Visual Distance Estimation in Static Compared to Moving Scenes. Spanish Journal of Psychology, 9(2):321-331.*

Kalkan, S., Calow, D., Wörgötter, F., Lappe, M., and Krüger, N. Local image structures and optic flow estimation. Network: Computation in Neural Systems, 16(4): 323-340.*

Frenz, H., and Lappe, M. (2005) Absolute travel distance from optic flow. Vision Research, 45(13): 1679-1692.*

Calow, D., Krüger, N., Wörgötter F., and Lappe, M. Biologically motivated space-variant filtering for robust optic flow processing. Network: Computation in Neural Systems, 16(4): 341-356.*

Kalkan, S., Calow, D., Felsberg, M., Wörgötter, F., Lappe, M., and Krüger, N. (2004) Optic flow statistics and intrinsic dimensionality. Brain Inspired Cognitive Systems, Stirling, UK, pp. BIS3-2:1-7.*

Kalkan, S., Calow, D., Felsberg, M., Wörgötter, F., Lappe, M., and Krüger, N. (2004) Local image structures and optic flow estimation. In Bülthoff, Mallot, Ilg (eds). Dynamic Perception pp 233-238.*

Calow, D., Krüger, N., Wörgötter, F., and Lappe, M. (2004) Statistics of optic flow for self-motion through natural scenes. In: U. Ilg et al. (eds.), Dynamic Perception, Infix Verlag, St. Augustin. pp. 133-138.*

Diaz, J.,Ros, E., and Carrillo, R. (2007). Real-Time systems for high-image resolution disparity estimation. IEEE Transaction on Image Processing, vol. 16(1), 280-285. WP1

Díaz, J., Ros, E., Mota, S. and Carrillo, R. (2007) Image Processing Architecture for Local Features Computation, Lecture Notes in Computer Science, 4419: 259-270. WP1*

Díaz, J., Ros, E., Mota, S. and Rodriguez-Gomez, R. (2007) FPGA-based architecture for motion sequence extraction. International Journal of Electronics. Vol.94(5), 435-450. WP1

Díaz, J., Ros, E., Mota, S., Rotter, A. and Muehlenberg, M. (2008) Lane change Decision Aid system based on motion driven car tracking. IEEE Transactions on Vehicle Technology. 57(5): 2736 - 2746. WP1

Díaz, J., Ros, E., Prieto, A. and Pelayo, F.J. (2007) Fine grain pipeline systems for real-time motion and stereo-vision computation. Int. J. High Performance Systems Architecture, Vol. 1(1),60-68. WP1

Díaz, J., Ros, E., Rodríguez-Gomez, R. and Pino, B. (2007) Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions. Journal of Universal Computer Science, Vol.13(3),363-376. WP1

Diaz, J.,Ros, E., Sabatini, S.P., Solari, F. and Mota, S. (2007). A phase-based stereo vision system-on-a-chip. BioSistems 87, 314-321. WP1

Granados, S., Ros, E., Rodriguez, R. and Díaz, J. (2007) Visual Processing Platform Based on Artificial Retinas, Lecture Notes in Computer Science, 4507: 506-513. WP1*

Mota, S., Ros, E., Díaz, J., Rodríguez, R., Carrillo, R. (2007) A Space Variant Mapping Architecture for Reliable Car Segmentation, Lecture Notes in Computer Science, 4419: 337-342. WP1*

Tomassi, M., Díaz, J. and Ros, E. (2007) Real Time Architectures for Moving-Objects Tracking, Lecture Notes in Computer Science, 4419: 365-372. WP1*

Díaz, J., Ros, E., Agís ,R. and Bernier, J.L. (2008) Superpipelined High-Performance Optical-Flow Computation. Computer Vision and Image Understanding, 112: 262-273. WP1

Diaz, J., Ros, E., Mota, S. and Carrillo, R. Image Processing architecture for local features computation, International Journal on Electronics. WP1*

Sabatini, S.P., Gastaldi, G., Solari, F., Diáz, J., Rós, E., Pauwels, K., Van Hulle, M.M., Pugeault, N. and Krüger, N. (2007) Compact (and accurate) early vision processing in the harmonic space. In 2nd International Conference on Computer Vision Theory and Applications (VISAPP ’07), Barcelona Spain, March 2007, vol. IA, pp. 213-220. WP1

Sabatini, S.P., Gastaldi, G., Solari, F., Diáz, J., Rós, E., Pauwels, K., Van Hulle, M.M., Pugeault, N. and Krüger, N. (2008) A Compact Harmonic Code for Early Vision based on Anisotropic Frequency Channels. Computer Vision and Image Understanding. WP1*

Sabatini, S.P., Chessa, M., Gastaldi, G., Solari, F. and Bisio, G.M. (2007) Cortical Architectures for Early Joint Coding of 3D Dynamic Visual Parameters: Complex Feature Mapping and Distributed Representations. Intern. Conf. on Computer Vision Systems –“From Computational Cognitive Neuroscience to Computer Vision”, Bielefeld, Germany, 21-24 March 2007. WP1*

Chessa, M.,Sabatini, S.P., Solari, F. and Bisio, G.M. (2007) A Recursive Approach to the Design of Adjustable Linear Models for Complex Motion Analysis. IASTED Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA'07), 14-16 February 2007 Isbruck, Austria. WP2

Ralli, J., Díaz, J., Ros, E. Krüger, N. and Kalkan, S. (2008) Disparity Disambiguation by Fusion of Signal- and Symbolic Level Information. IEEE Transactions on Image Processing, (submitted, May 2008). WP3*

Dellen, B.K. and Wörgötter, F. (2008) Computing local velocity estimates of image sequences by constructive interference of global Fourier components. IJCV, (submitted, May 2008). WP4*

Dellen, B.K., Clark, J.W. and Wörgötter, F. (2008) Motion processing with wide-field neurons in the retino-tecto-rotundal pathway. J. Comp. Neurosci, (submitted, May 2008). WP4*

Dellen, B.K. and Wörgötter, F. (2008). Extraction of region correspondences via an n-d conjoint spin relaxation process driving synchronous segmentation of image sequences. IJCV, (submitted, Feb. 2008). WP4*

Pauwels, K., Lappe, M., and Van Hulle, M.M. (2007). Fixation as a Mechanism for Stabilization of Short Image Sequences. IJCV, Special Issue on Early Cognitive Vision 72 (1): 67-78. WP4

Pauwels, K., and Van Hulle, M.M. (2006). Optimal Instantaneous Rigid Motion Estimation Insensitive to Local Minima. Computer Vision and Image Understanding (CVIU), 104(1), 77-86. WP4

Pauwels, K., and Van Hulle, M.M. (2006). Optic flow from unstable sequences containing unconstrained scenes through local velocity constancy maximization. British Machine Vision Conference (BMVC 2006) (Edinburgh, Scotland, 4-7 September 2006), Vol. 1, pp. 397-406. WP4

Pauwels, K., and Van Hulle, M.M. (2008). Realtime Phase-based Optical Flow on the GPU. Workshop on Computer Vision on GPU (in conjunction with CVPR 2008), June 27, Anchorage, Alaska. WP4*

Calow, D. and Lappe, M. (2007). An Efficient Encoding Scheme for Dynamic Visual Input Based on the Statistics of Natural Optic Flow. In: Wang, R, and Gu, F (editors) Cognitive Neurodynamics, Springer Lecture notes in Computer Science. WP4

Calow, D. and Lappe, M. Efficient Encoding of Natural Optic Flow. Network: Computation in Neural Systems, (in revision). WP4*

Lappe, M. Optic Flow. In: M. D. Binder, N. Hirokawa, U. Windhorst, and M. C. Hirsch (editors) Encyclopedia of Neuroscience. Springer Verlag. WP4*

Vidugiriene, A. and Tamosiunaite, M. (2007). Parameter Analysis for Steering Angle Prediction Using Neural Networks, Proceedings of the 11th international conference "Transport Means 2007", 111-113, Kaunas, (Peer Reviewed Conference Paper). WP5*

Demcenko, A., Tamosiunaite, M., Vidugiriene, A. and Saudargiene, A. (2008). Vehicle’s Steering Signal Predictions Using Neural Networks, Proceedings of the 2008 IEEE Intelligent Vehicles Symposium, (in press). WP5*

Kandil, F.I., Rotter, A. and Lappe, M. Driving Smoother and Stabler With the Tangent Point. Journal of Vision, (submitted in June 2008). WP5*

Chumerin, N., and Van Hulle, M.M. (2006). Comparison of two feature extraction methods based on maximization of mutual information. 2006 IEEE Workshop on Machine Learning for Signal Processing} (Maynooth, Ireland, 6-8 September 2006), pp. 343-348. WP6

Chumerin, N. and Van Hulle, M.M. (2007) An Approach to On-Road vehicle Detection, Description and Tracking. In 2007 IEEE Workshop on Machine Learning for Signal Processing, Thessaloniki Greece, August 2007, IEEE, CD ROM, 43, pp. 265-269, IEEE. WP6

Chumerin, N. and Van Hulle, M.M. (2007) Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes. In: Signal Processing Techniques for Knowledge Extraction and Information Fustion (Mandic D P, Golz M, Kuh A, Obradovic D, Tanaka T, eds), pp161-180. Boston: Springer. WP6*

Oberhoff, D., Kolesnik, M. and Van Hulle, M.M. (2007) Hierarchical neural learning for object recognition. In 2007 IEEE Workshop on Machine Learning for Signal Processing, Thessaloniki Greece, August 2007, IEEE, CD ROM, 60, pp. 366-371, IEEE. WP6

Van Dijck, G. and Van Hulle, M.M. (2006) Speeding up the wrapper feature subset selection in regression by mutual information relevance and redundancy analysis. Lecture Notes in Computer Science, 4131 / 2006, pp.31-40, Berlin, Heidelberg: Springer. WP6*

Van Dijck, G. and Van Hulle, M.M. (2007) Speeding up Feature Subset Selection through Mutual Information Relevance Filtering. In 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), Warsaw Poland, September 2007, pp. 277-287, Berlin, Heidelberg: Springer. WP6*

Chumerin, N. and Van Hulle, M.M. (2007) Biologically – inspired model of vision – based independently moving objects detection system. In Ninth International Scientific Conference Pattern Recognition and Information Processing (PRIP 2007), Minsk Belarus, May 2007, volume 1, pp. 64-68. WP6*

Chumerin, N. and Van Hulle, M.M. (2008). Ground Plane Estimation Based on Dense Stereo Disparity. The Fifth International Conference on Neural Networks and Artificial Intelligence (Minsk, Belarus, May 27-30), (in press) . WP6*

Chumerin, N. and Van Hulle, M.M. (2008). Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes. In Signal Processing Techniques for Knowledge Extraction and Information Fusion}, D.P. Mandic, M. Golz, A. Kuh, D. Obradovic, and T. Tanaka (Eds.), Springer, Boston, USA, pp. 161-180. WP6

Kulvicius, T., Porr, B. and Wörgötter, F. (2007) Chained learning architectures in a simple closed-loop behavioural context. Biol. Cybern, Vol 97, pp. 363-378. WP7

Diaz J., Ros E., Mota S., and Carrillo R. (2008) Local image phase, energy and orientation extraction using FPGAs. International Journal of Electronics. 95(7): 743-760. WP1

Botella G., García A., Rodríguez M., Ros E., Meyer-Baese U., and Molina M.C. (2009) Robust Bioinspired Architecture for Optical Flow Computation. IEEE Transactions on VLSI (In press). WP1

Anguita M., Diaz J., Ros E., and Fernandez-Baldomero F. (2009) Optimization Strategies for High-performance Computing of Opticalflow in General-purpose Processors. IEEE Transactions on Circuits for Video Technology (In press). WP1

Barranco F., Diaz J., Ros E., and del Pino B. (2009) Visual System Based on Artificial Retina for Motion Detection. IEEE Transactions on System, Man and Cybernetics, Part B: Cybernetics. 39(3): 752-762. WP1

Samarawickrama J.G., Diáz J., and Sabatini S.P. (2009) An FPGAbased log-polar mapping for efficient space-variant filtering. IEEE Transactions on Circuits and Systems for Video Technology (submitted). WP1

Chessa M., Solari F., Sabatini S.P., and Bisio G.M. (2008) Motion interpretation using adjustable linear models. In Proc. British Machine Vision Conference, Vol. 1, pp. 233-242, Leeds, UK, 1st-4th September 2008. WP2

Chessa M., Solari F., and Sabatini S.P. (2009) Biologically Inspired Adjustable Linear Models for Motion Interpretation. IEEE Transactions on Pattern Analysis and Machine Intelligence (submitted April 2009). WP2

Ralli J., Diaz J., and Ros E. (2009) A Method for Sparse Disparity Densification using Voting Mask Propagation. Journal of Visual Communication and Image Representation. WP3

Baseski E., Baunegard with Jensen L., Pugeault N., Pilz F., Pauwels K., Van Hulle M.M., Wörgötter F., and Krüger, N. (2009) Road interpretation for driver assistance based on an early cognitive vision system. In: 4th International Conference on Computer Vision Theory and Applications (VISAPP'09) (Lisboa, Portugal, 5-8 February, 2009), vol. 1, 496-505. WP4

Dellen B.K. and Wörgötter F. (2008) A local algorithm for the computation of optic flow via constructive interference of global Fourier components. Proceedings of the British Machine Vision Conference 2008, Leeds. WP4

Lázár A., Pauwels K., Van Hulle M., and Roska T. (2009). Scene analysis of unstable video flows - Using multiple retina channels and attentional methods. In: Integrated Circuits, Photodiodes and Organic Field Effect Transistors, R. McIntire and P. Donnell (Eds.), Nova Science: Hauppauge (NY), USA. WP4

Pilz F., Pugeault N., and Krüger N. (2009) Comparison of Point and Line Features and Their Combination for Rigid Body Motion Estimation. In: Statistical and Geometrical Approaches to Visual Motion Analysis, Springer LNCS 5604, 280-304. WP4

Dellen B.K. and Wörgötter F. (2009) Simulating dynamical systems for early vision. Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP '09), vol. 2, pages 525-528. WP4

Lappe M. and Frenz H. (2009) Visual estimation of travel distance during walking. Exp Brain Res, vol. 199, pp. 369-375. WP4

Boesman B., Jensen L.B.W., Baseski E., Pugeault N., and Krüger N. (2009) Bayesian Reasoning Using 3D Relations for Lane Marker Detection. Vision, Modeling, and Visualization Workshop 2009 (VMV). WP4

Goswami D., Kalkan S., and Krüger N. (2009) Bayesian Classification of Image Structures. Scandinavian Conference on Image Analysis (SCIA) 2009. WP4

Dellen B.K. and Wörgötter F. (2009) A local algorithm for the computation of image velocity via constructive interference of global Fourier components. IJCV. Under Review. WP4

Demcenko A., Tamosiunaite M., Vidugiriene A., and Saudargiene A. (2008). Vehicle’s Steering Signal Predictions Using Neural Networks. Proceedings of the 2008 IEEE Intelligent Vehicles Symposium, 1181- 1186. WP5

Kandil F.I., Rotter A., and Lappe M. (2009) Driving is smoother and more stable when using the tangent point. Journal of Vision. 9(1): 11, 1-11. WP5

Vidugiriene A., Demcenko A., and Tamosiunaite M. (2008) Extraction and investigation of lane marker parameters for steering signal prediction. Proceedings of the 12th International Conference "Transport Means - 2008", October 23-24, 2008, Kaunas, Lithuania, 143-146. WP5

Demcenko A., Tamosiunaite M., Vidugiriene A., and Jakevicius L. (2009) Lane marker parameters correlative to vehicle’s steering signal. Proceedings of the 8th WSEAS International Conference on Signal Processing, Robotics and Automation, February 21-23, 2009, Cambridge, 137-142. WP5

Demcenko A., Tamosiunaite M., Vidugiriene A., and Jakevicius L. (2009) Lane Marker Parameters for Vehicle’s Steering Signal Prediction, WSEAS Transactions on Systems, 8(2), 251-260. WP5

Vidugiriene A., Demcenko A., and Tamosiunaite M. (2009) Vehicle Acceleration Prediction Using Specific Road Curvature Points. Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Robotics and Automation, Milan, Italy, July 2-5, 2009, 147-152. WP5

Vidugiriene A., Demcenko A., and Tamosiunaite M. (2009) Steering angle prediction using neural networks and look-up table for different drivers. Proceedings of SPIE, May 25-27, Wilga, Poland (electronic resource), Vol. 7502, 750206. WP5

Kandil F.I., Rotter A., and Lappe M. (2009b) Car drivers attend to different gaze targets when negotiating closed vs open curves. Journal of Vision (submitted). WP5

*Chumerin N. and Van Hulle M.M. (2008) Ground Plane Estimation Based on Dense Stereo Disparity. The Fifth International Conference on Neural Networks and Artificial Intelligence (Minsk, Belarus, May 27- 30), pp. 209-213. WP6

Deleus, F., & Van Hulle, M.M. (2009). Connectivity-based method for defining regions-of-interest in fMRI data. IEEE Transactions on Image Processing,, 18(8), 1760-1771. WP6

Markelic I., Kulvicius T., Tamosiunaite M., and Wörgötter, F. Anticipatory Driving for a Robot-Car Based on Supervised Learning, Pezzulo (Ed.) et al. : ABiALS 2008, (In press). WP7

Shylo N., Wörgötter F., and Dellen B.K. Ascertaining relevant changes in visual data by interfacing AI reasoning and low-level visual information via temporally stable image segments. Proceedings of the International Conference on Cognitive Systems (Cogsys 2008), Cognitive Systems Monographs, First Edition, Springer. WP7

Kalkan, S., Wörgötter, F., and Krüger, N. (2007) First-order and Second-order Statistical Analysis of 3D and 2D Structure. Network: Computation in Neural Systems, Vol. 18(2), 129-160.*

Felsberg, M., Kalkan, S., and Krüger, N. (2007) Continuous Dimensionality Characterization of Image Structures. Image and Vision Computing 27:628-636. WP3

Pugeault, N., Kalkan, S., Baseski, E., Wörgötter, F. and Krüger, N. (2008) Reconstruction uncertainty and 3D relations. Proceedings of Int. Conf. on Computer Vision Theory and Applications (VISAPP'08). WP4

Kalkan, S., Wörgötter, F. and Krüger, N. (2008) Depth Prediction at Homogeneous Image Structures. Int. Conf. on Computer Vision Theory and Applications (VISAPP'08). WP4

Kalkan, S., Yan, S., Krüger, V., Wörgötter, F. and Krüger, N. (2008) A Signal-Symbol Loop Mechanism For Enhanced Edge Extraction. Int. Conf. on Computer Vision Theory and Applications (VISAPP'08). WP4

Pilz, F., Shi, Y., Grest, D., Pugeault, N., Kalkan, S. and Krüger, N. (2007) Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation. In G. Bebis et al. (Eds.): ISVC 2007, Part I, LNCS 4841,692-701. Springer-Verlag Berlin Heidelberg 2007. WP4

Baseski, E., Pugeault, N., Kalkan, S., Kraft, D., Wörgötter, F. and Krüger, N. (2007) A Scene Representation Based on Multi-Modal 2D and 3D Features. ICCV 2007 Workshop on 3D Representation for Recognition 3dRR-07. WP4

König, N., and Krüger, N. (2006). Symbols as self-emergent entities in an optimization process of feature extraction and predictions. Biological Cybernetics vol. 94(4), 325-334. WP4

Kalkan, S., Shi, Y., Pilz, F., and Krüger, N. (2007). Improving Junction Detection by Semantic Interpretation. VISAPP '07. Barcelona, Spain. WP4

Kalkan, S., Wörgötter, F., and Krüger, N. (2007). Statistical Analysis of Second-Order Relations of 3D Structures. VISAPP '07. Barcelona, Spain. WP4

Saal, H., Nortmann, N., Krüger, N., and König, P.(2006) Salient image regions as a guide for useful visual features.IEEE AICS 2006. WP4

Kalkan, S., Wörgötter, F., and Krüger., N. (2006) Statistical Analysis of Local 3D Structure in 2D Images. CVPR 2006. WP4

Pugeault, N., Wörgötter, F., and Krüger, N. (2006) Multi-modal Scene reconstruction using Perceptual Grouping Constraints. Proceedings of the 5th IEEE Computer Society Workshop on Perceptual Organization in Computer Vision, New York City June 22, 2006 (in conjunction with IEEE CVPR 2006). WP4

Lars Baunegaard With Jensen, Anders Kjær-Nielsen, Javier Díaz Alonso, Eduardo Ros, Norbert Krúger, A Hybrid FPGA/Coarse Parallel Processing Architecture for Multi-modal Visual Feature Descriptors, reconfig, pp.241-246, 2008 International Conference on Reconfigurable Computing and FPGAs, 2008. WP1

Diaz, J.,Ros, E.,Mota, S.,Pelayo, F., and Ortigosa, E.M. (2006). Subpixel motion computing architecture. IEE Proc.-Vis. Image Signal Process., Vol. 153, No. 6, 869-880.

Köteles K., De Mazière P.A., Van Hulle, M.M., Orban, G.A. and Vogels, R. (2007) Coding of images of materials by macaque inferior temporal cortical neurons. European Journal of Neuroscience, 27(2), 466-482. WP6*

Agis, R., Ros, E., Diaz, J., Carrillo, R., Ortigosa, E. M. (2007) Hardware event-driven simulation engine for spiking neural networks. International Journal of Electronics, Vol.94(5),469-480.

Van Hulle, M.M. (2009). Kernel-based topographic maps: Theory and applications. Encyclopedia of Computer Science and Engineering, Benjamin W. Wah (Ed.), Wiley, in press.

Deleus, F., & Van Hulle, M.M. (2009). Connectivity-based method for defining regions-of-interest in fMRI data. IEEE Transactions on Image Processing, 18(8), 1760-1771.

Van Dijck, G., Van Vaerenbergh, J. & Van Hulle, M.M. (2009). Posterior probability profiles for the automated assessment of the recovery of stroke patients from activity of daily living tasks. Artificial Intelligence in Medicine, in press.

Van Hulle M.M. (2009). Self-Organizing Maps. Handbook of Natural Computing: Theory, Experiments, and Applications, G. Rozenberg, T. Baeck, J. Kok (eds.), Springer, in press (November 2009).

Van Dijck, G., Wevers, M., & Van Hulle, M.M. (2009). Wavelet packet decomposition for the prediction of corrosion type from acoustic emission signals. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), 7(4), 513-534.

Chumerin, N., Manyakov, N.V., Combaz, A., Suykens, J.A.K., & Van Hulle, M.M. (2009). An application of feature selection to on-line P300 detection in brain-computer interface. 2009 IEEE Workshop on Machine Learning for Signal Processing (Grenoble, France, 2-4 September 2009), CD ROM, a16.

Chumerin, N., Manyakov, N.V., Combaz, A., Suykens, J.A.K., Yazicioglu, R.F., Torfs, T., Merken, P., Neves, H.P., Van Hoof, C., & Van Hulle, M.M. (2009). P300 detection based on Feature Extraction in on-line Brain-Computer Interface. 32nd Annual Conference on Artificial Intelligence (KI 2009) (Paderborn, Germany, 15-18 September, 2009), Published in: Lecture Notes in Computer Science. KI 2009: Advances in Artificial Intelligence, B. Mertsching (Ed.), Springer, 339-346.