Antoine Naud

Contact information

Links

Week schedule [tygodniowy plan zajęć]

Publications

2008

• Naud, A., & Usui, S. Exploration of a collection of documents in neuroscience and extraction of topics by clustering, Neural Networks, Volume 21, Issue 8, October 2008, Pages 1205–1211.

2007

• Naud A, Usui S, Ueda N, Taniguchi T, Visualization of documents and concepts in Neuroinformatics with the 3D-SE Viewer, Frontiers in Neuroscience (Frontiers in Neuroinformatics) 2007;1 (1)

• Naud A, Usui S: Exploration of a text collection and identification of topics by clustering, in H. Yin et al. (Eds.): IDEAL 2007, LNCS 4881, pp. 115-124, 2007.

• Usui S, Naud A, Taniguchi T, Ueda N: Visualization of SfN 2006 Annual Meeting poster sessions using 3D-SE viewer, poster presented at the Society for Neuroscience Annual Meeting, San Diego, Nov. 3-7, 2007.

• Usui S, Naud A, Ueda N, Taniguchi T: 3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization, 20th International Joint Conference on Neural Networks (IJCNN'07), 2007.

2006

• Naud A: An Accurate MDS-Based Algorithm for the Visualization of Large Multidimensional Datasets. International Conference on Artificial Intelligence and Soft Computing ICAISC'06, LNCS 4029, pp. 643-652.

2004

• Naud A: Visualization of High-dimensional Data Using an Association of Multidimensional Scaling to Clustering. IEEE Conference on Cybernetics and Intelligent Systems CIS'04, Singapore, pp. 252-255.

• Naud A: Positionnement multidimensionnel et partitionnement pour la visualisation de données multivariées. G. Hébrail, L. Lebart, J.-M. Petit (Eds.) Extraction et Gestion des Connaissances EGC'04, Clermont Fd, p. 80.

2002

• Naud A: Visualization of large databases by data clustering and dimensionality reduction. International Multiconference on Advanced Computer Systems ACS'02, J. Soldek and L. Drobiazgiewicz Eds., pp. 311-316.

• Naud A and Duch W: Visualization of large datasets using MDS combined with LVQ, in Neural networks and soft computing (Verlag), L. Rutkowski, J. Kacprzyk (Eds.), International Conference on Neural Networks and Soft Computing, pp. 632-637.

• Marczak M, Duch W, Grudzinski K, Naud A: Transformation distances, strings and identification of DNA promoters, in Neural networks and soft computing (Verlag), L. Rutkowski, J. Kacprzyk (Eds.), International Conference on Neural Networks and Soft Computing, pp. 620-625.

2001

• Duch W, Adamczak R, Grabczewski K, Grudzinski K, Jankowski N, Naud A: Extraction of Knowledge from Data using Computational Intelligence Methods. ICANN'01, Vienna (tutorial, 63 pages).

2000

• Naud A, Duch W: Interactive data exploration using MDS mapping. Fifth Conference Neural Networks and Soft Computing, Zakopane, Poland, pp. 255-260.

  Naud A: Interactive database exploration using Multidimensional Scaling. 29 Oglnopolska Konferencja Zastosowan Matematyki, Zakopane-Koscielisko, Poland, pp. 98-99.

• Naud A, Duch W: Exploration interactive de donnes par Multidimensional scaling. 10emes Journes Neurosciences et sciences de l'Ingnieur NSI'2000, Dinard, France, pp. 89-92.

• Duch W, Adamczak R, Grabczewski K, Grudzinski K, Jankowski N, Naud A: Understanding the data: extraction, optimization and interpretation of logical rules, ICONIP-2000, 7th International Conference on Neural Information Processing, Nov. 2000, Dae-jong, Korea, pp. 1-53 (tutorial materials)

• Duch W, Adamczak R, Grabczewski K, Grudzinski K, Jankowski N, Naud A: Extraction of knowledge from data using Computational Intelligence methods, IJCNN 2000, Como, Italy, pp. 1-70 (tutorial materials).

1998

• Scheunders P, De Backer S, Naud A: Non-linear mapping for feature extraction. Joint IAPR International Workshops SSPR'98 and SPR'98, LNCS nr. 1451, Springer, pp. 823-830.

• De Backer S, Naud A, Scheunders P: Non-linear dimensionality reduction techniques for unsupervised feature extraction. Pattern Recognition Letters, 1998, vol. 19, pp. 711-720.

1997

• Duch W, Naud A: Dimensionality reduction methods for data visualization. Poster presented at the Third Conference Neural Networks and their Applications, 10.1997, Kule, Poland.

1996

• Duch W, Naud A: Multidimensional scaling and Kohonen's Self-Organizing Maps. Second Conference Neural Networks and their Applications, Szczyrk, Poland, vol. I, pp. 138-143.

• Duch W, Naud A: On global self-organizing maps. 4th European Symposium on Artificial Neural Networks ESANN'96, Bruges, Belgium, pp. 91-96.

• Duch W, Naud A: Simplexes, Multi-Dimensional Scaling and Self-Organized Mapping. 8th joint EPS-APS International Conference on Physics Computing '96, Cracow, Poland, pp. 367-370.

1995

• Duch W, Jankowski J, Naud A, Adamczak R: Feature Space Mapping: a neurofuzzy network for system identification. Proceedings of the European Symposium on Artificial Neural Networks, Helsinki, pp. 221-224.

• Naud A: Application of Kohonen's Self-Organizing Maps to textured image segmentation. Symposium on System, Modeling and Control 8, E. Kacki editor, Vol. 3: Artificial Neural Networks and Their Applications, Zakopane, Poland, pp. 91-95.

PhD thesis

I defended a PhD thesis in Technical Sciences at AGH University of Science and Technology, Cracow, Poland in 2001 (Faculty of of Electrical Engineering, Automatics, Computer Science and Electronics). The thesis Neural and statistical methods for the visualization of multidimensional data focuses on data visualization using dimensionality reduction techniques such as multidimensional scaling (MDS) and Kohonen's Self Organizing Maps (SOM).