An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification, 2008. ,
DOI : 10.1007/978-3-540-89991-4_14
A Powerful Feature Selection approach based on Mutual Information, International Journal of Computer Science and Network Security, vol.8, issue.4, pp.116-121, 2008. ,
Learning Boolean concepts in the presence of many irrelevant features, Artificial Intelligence, vol.69, issue.1-2, pp.279-306, 1994. ,
DOI : 10.1016/0004-3702(94)90084-1
Efficient Algorithms for Identifying Relevant Features, Ninth Canadian Conference on Artificial Intelligence, 1992. ,
Nearest Neighbor Classification in 3D Protein Databases, Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology, 1999. ,
3D Shape Analysis for Quantification, Classification, and Retrieval, 2010. ,
3D Gemoetric Modeiling for the 21st Centry, Engineering Design Graphics Journal, vol.63, issue.2, pp.33-42, 1999. ,
Free Form Surface Design with A-Patches, Graphics Interface, pp.174-181, 1994. ,
Complex Skeletal Implicit Surfaces with Levels of Detail, Journal of WSCG, vol.12, pp.1-3, 2004. ,
A Formal Framework for Declarative Scene Description Transformation into Geometric Contraints, pp.347-356, 2011. ,
Hierarchical multi-label prediction of gene function, Bioinformatics, vol.22, issue.7, pp.830-836, 2006. ,
DOI : 10.1093/bioinformatics/btk048
Multi-dimensional classification with Bayesian networks, International Journal of Approximate Reasoning, vol.52, issue.6, pp.705-727, 2011. ,
DOI : 10.1016/j.ijar.2011.01.007
Top-down induction of clustering trees, Proccedings of the 15th International Conference on Machine Learning, 1998. ,
Implicit Surfaces, 1999. ,
Learning multi-label scene classification, Pattern Recognition, vol.37, issue.9, pp.1757-1771, 2007. ,
DOI : 10.1016/j.patcog.2004.03.009
Knowledge Discovery and Data Mining, 1999. ,
DOI : 10.1049/PBPC001E
Greedy Attribute Selection, Machine Learning: Proceedings of the Eleventh International Conference, 1994. ,
DOI : 10.1016/B978-1-55860-335-6.50012-X
An empirical comparison of supervised learning algorithms, Proceedings of the 23rd international conference on Machine learning , ICML '06, 2006. ,
DOI : 10.1145/1143844.1143865
Subdivision Surfaces and Applications, Shape Analysis and Structuring, pp.115-143, 2007. ,
DOI : 10.1007/978-3-540-33265-7_4
A little history of C4 -the CAD/CAM handbook, 1996. ,
Le projet VoluFormes : un exemple de modélisation déclarative avec controle spatial, 1994. ,
Knowledge Discovery in Multi-label Phenotype Data, Proceedings of European Conference on PKDD, 2001. ,
DOI : 10.1007/3-540-44794-6_4
Efficient pruning methods for separate-and-conquer rule learning systems, Proceedings of the 13th International Joint Conference of Artificial Intelligence, 1993. ,
Fast Effective Rule Induction, Machine Learning: Proceeding of the Twelfth International Conference, 1995. ,
DOI : 10.1016/B978-1-55860-377-6.50023-2
A simple, fast, and effective rule learner, Proceedings of Annual Conference of American Association for Artificial Intelligence, 1999. ,
Learning multi-label alternating decision trees from texts and data, The 3rd International Conference on Machine Learning and Data Mining Pattern Recognition, 2003. ,
Automatic localization and annotation of facial features using machine learning techniques, Soft Computing, vol.23, issue.3, pp.1231-1245, 2011. ,
DOI : 10.1007/s00500-010-0586-y
A family of additive online algorithms for category ranking, Journal of Machine Learning Research, vol.3, pp.1025-1058, 2003. ,
On the use of Machine Learning to Defeature CAD Models for Simulation, Computer-Aided Design and Applications, vol.34, issue.2, pp.358-368, 2014. ,
DOI : 10.1080/16864360.2004.10738315
URL : https://hal.archives-ouvertes.fr/hal-01015339
Towards Declarative Geometric Modelling in Mechanics, Integrated Design and Manufacturing in Mechanical Engeneering, pp.427-436, 1997. ,
DOI : 10.1007/978-94-011-5588-5_43
A New Aesthetic Design Workflow???Results from the European Project FIORES, CAD Tools and Algorithms for Product Design, pp.16-30, 2000. ,
DOI : 10.1007/978-3-662-04123-9_2
Feature selection for classification, Intelligent Data Analysis, vol.1, issue.1-4, pp.131-156, 1997. ,
DOI : 10.1016/S1088-467X(97)00008-5
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains, 27th International Conference on Machine Learning ,
Subdivision surfaces in character animation, Proceedings of the 25th annual conference on Computer graphics and interactive techniques , SIGGRAPH '98, 1998. ,
DOI : 10.1145/280814.280826
Learning user preferences for sets of objects, Proceedings of the 23rd international conference on Machine learning , ICML '06, 2006. ,
DOI : 10.1145/1143844.1143879
Les modeleurs déclaratifs, Nantes: RR, 1995. ,
Data Mining: Introductory and Advanced Topic, 2003. ,
Advanced Geometric Modelling, 1997. ,
Texturing and Modeling: A Procedural Approach, 2003. ,
Procedural shape generation for multi-dimensional data visualization, Computers & Graphics, vol.24, issue.3, pp.375-384, 2000. ,
DOI : 10.1016/S0097-8493(00)00033-9
12 07). techpubs library. (Silicon Graphics) Consulté le 04 18, 2015, sur http://techpubs.sgi.com/library/tpl/cgibin/getdoc .cgi?coll=0650&db=bks&srch=&fname=/SGI_Developer/Perf_PG/sgi_html /ch09 Introduction to Data Mining and Knowledge Discovery, A. H, 1999. ,
Curves and Surfaces for Computer Aided Geomtric Design: A Practical Guid, 1996. ,
From Data Mining to Knowledge Discovery: An Overview, American Association for Arificial Intellegence, pp.1-34, 1996. ,
Efficient feature selection filters for high-dimensional data, Pattern Recognition Letters, vol.33, issue.13, pp.1794-1804, 2012. ,
DOI : 10.1016/j.patrec.2012.05.019
Domains of competence of the semi-naive Bayesian network classifiers, Information Sciences, vol.260, pp.120-148, 2014. ,
DOI : 10.1016/j.ins.2013.10.007
Computer Graphics: Principles and Practice, 1992. ,
A Free Form Feature Taxonomy, Eurographics'99, pp.107-118, 1999. ,
DOI : 10.1111/1467-8659.00332
FREE FORM FEATURES FOR AESTHETIC DESIGN, International Journal of Shape Modeling, vol.06, issue.02, pp.273-302, 2000. ,
DOI : 10.1142/S0218654300000168
Multilabel classification via calibrated label ranking, Machine Learning, pp.133-153, 2008. ,
DOI : 10.1007/s10994-008-5064-8
An integrated framework for procedural modeling, Proceedings of the 23rd Spring Conference on Computer Graphics, SCCG '07, pp.150-157, 2007. ,
DOI : 10.1145/2614348.2614366
WEKA: The Waikato Environment for Knowledge Analysis, 1999. ,
Estimating Continuous Distributions in Bayesian Classifiers, 11th Conference on Uncertainty in Artificial Intelligence, 1995. ,
An introduction to Geometrical Modelling and Mesh, 1999. ,
Theory of Psychological Measurement, 1964. ,
An innovative approach to the aesthetic design, Common Ground , Design Research Society, International Conference, 2002. ,
CAD Tools Based on Aesthetic Properties, Eurographics Italian Chapter Milano: Facolta' del Design -Politechico di Milano, 2002. ,
Design intent-oriented modelling tools for aesthetic design, Journal of WSCG, vol.11, issue.1, 2003. ,
A survey of tools for understanding and exploiting the link between shape and emotion in product design, 2010. ,
A survey of tools for understending and exploiting the link between shape and emotion in product design, Proceedings of the TMCE 2010, 2010. ,
Semantic Evaluation and Deformation of Curves Based on Aesthetic Criteria, Computer-Aided Design and Applications, vol.3, issue.2, pp.449-464, 2011. ,
DOI : 10.1016/j.compind.2008.03.004
URL : https://hal.archives-ouvertes.fr/hal-01404152
Styling Properties and Features in Computer Aided Industrial Design, Computer-Aided Design and Applications, vol.17, issue.3, pp.1-4, 2004. ,
DOI : 10.1080/16864360.2004.10738273
Aesthetic-driven tools for industrial design, Journal of Engineering Design, vol.5, issue.3, pp.193-215, 2006. ,
DOI : 10.1109/38.219453
Aesthetic-driven tools for industrial design, Journal of Engineering Design, vol.5, issue.3, pp.193-215, 2006. ,
DOI : 10.1109/38.219453
Aesthetic-driven tools for industrial design, Journal of Engineering Design, vol.5, issue.3, pp.193-215, 2012. ,
DOI : 10.1109/38.219453
A Survey to Evaluate how non Designers Perceive Aesthetic Properties of Styling Features, Computer-Aided Design and Applications, vol.10, issue.1, pp.129-138, 2013. ,
DOI : 10.3722/cadaps.2011
Discriminative Methods for Multi-labeled Classification, Eighth Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2004. ,
DOI : 10.1007/978-3-540-24775-3_5
Parametrically deformed free-form surfaces as part of a variational model, Computer-Aided Design, vol.30, issue.8, pp.621-630, 1998. ,
DOI : 10.1016/S0010-4485(98)00019-0
Performance Analysis of Classification Tree Learning Algorithms, International Journal of Computer Applications, vol.55, issue.6, pp.39-44, 2012. ,
DOI : 10.5120/8762-2680
Correlation-based Feature Selection for Machine Learning, 1999. ,
Feature Selection for Machine Learning: Comparing a Correlation-based Filter Approach to the Wrapper, Proceedings of the Twelfth International FLAIRS Conference, 1999. ,
Idiot's Bayes -Not So Stupid After All?, International Statistical Review, vol.69, issue.3, pp.385-398, 2001. ,
Curves' physical characteristics and self-affine properties, Bulletin of Japonese Society for the Science of Design, vol.42, issue.3, pp.30-40, 1995. ,
Geometric and Solid Modeling: An Introduction, 1989. ,
Implicit curves and surfaces in CAGD, IEEE Computer Graphics and Applications, vol.13, issue.1, pp.79-88, 1993. ,
DOI : 10.1109/38.180121
Erep: An editable, high-level representation for geometric design and analysis, Geometric Modeling for Product Realization, pp.129-164, 1993. ,
Symbolic Constraints in Constructive Geometric Constraint Solving, Journal of Symbolic Computation, vol.23, issue.2-3, pp.287-299, 1997. ,
DOI : 10.1006/jsco.1996.0089
On user-defined features, Computer-Aided Design, vol.30, issue.5, pp.321-332, 1998. ,
DOI : 10.1016/S0010-4485(97)00048-1
Fundamental Techniques for Geometric and Solid Modeling, Control and Dynamic Systems, vol.48, pp.101-159, 1991. ,
DOI : 10.1016/B978-0-12-012748-1.50009-4
A Probability-Based Unified 3D Shape Search, European Commission International Conference on Semantic and Digital Media Technologies, Lecture notes in computer science, 2006. ,
DOI : 10.1007/11930334_10
SVM-based Semantic Clustering and Retrieval of a 3D Model Database, Computer-Aided Design and Applications, vol.14, issue.5, pp.1-4, 2005. ,
DOI : 10.1080/16864360.2005.10738363
11 25) Optimal Design Laboratory, 2010. ,
Label ranking by learning pairwise preferences, Artificial Intelligence, vol.172, issue.16-17, pp.16-17, 2008. ,
DOI : 10.1016/j.artint.2008.08.002
Content-Based Classification of CAD Models with Supervised Learning, Computer-Aided Design and Applications, vol.12, issue.5, pp.609-617, 2005. ,
DOI : 10.1080/16864360.2005.10738325
Automated learning of model classifications, Proceedings of the eighth ACM symposium on Solid modeling and applications , SM '03, 2003. ,
DOI : 10.1145/781606.781659
The Naive Bayes Mystery: A classification detective story, Pattern Recognition Letters, vol.26, issue.11, pp.1752-1760, 2005. ,
DOI : 10.1016/j.patrec.2005.02.001
A Procedural Model for Interactive Animation of Breaking Ocean Waves. WSCG POSTERS, 2003. ,
http://graphics.cs.ucdavis Récupéré sur Institute for Data Analysis and Visualization UC Davis: http://graphics, 2012. ,
Classification of Aesthetic Curves and Surfaces for Industrial Design, Design Discourse, vol.2, issue.4, 2007. ,
A Practical Approach to Feature Selection, Machine Learning: Proceedings of the Ninth International Conference, 1992. ,
DOI : 10.1016/B978-1-55860-247-2.50037-1
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection, International Joint Conference on Artificial Intelligence, 1995. ,
Wrappers for Performance Enhancement and Oblivious Decision Graphs, 1995. ,
Wrappers for feature subset selection, Artificial Intelligence, vol.97, issue.1-2, pp.273-324, 1997. ,
DOI : 10.1016/S0004-3702(97)00043-X
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology, p.95, 1995. ,
Toward Optimal Feature Selection, Machine Learning: Proceedings of the Thirteenth International Conference, 1996. ,
An Evaluation of Machine Learning in Algorithm Selection for Search Problems, 2010. ,
Neural network approach to multidimensional data classification via clustering, 2011 IEEE 9th International Symposium on Intelligent Systems and Informatics, 2011. ,
DOI : 10.1109/SISY.2011.6034316
Approche déclarative de la modélisation de surfaces, 2005. ,
3D Shape Classification and Retrieval Using Heterogenous Features and Supervised Learning, Machine Learning, pp.305-324, 2009. ,
A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions, Adaptive Multimedia Retrieval, pp.185-199, 2004. ,
DOI : 10.1007/978-3-540-25981-7_13
Using support vector machine with a hybrid feature selection method to the stock trend prediction, Expert Systems with Applications, vol.36, issue.8, pp.10896-10904, 2009. ,
DOI : 10.1016/j.eswa.2009.02.038
Introduction to machine learning for brain imaging, NeuroImage, vol.56, issue.2, pp.387-399, 2011. ,
DOI : 10.1016/j.neuroimage.2010.11.004
Product shape and emotional design ? an application to perfume bottle, International Conference on Kansei Engineering and Emotion Research, 2010. ,
Toward Integrating Feature Selection Algorithms for Classification and Clustering, Knowledge and Data Engineering, vol.17, issue.4, pp.491-502, 2005. ,
On shape and the computability of emotions, Proceedings of the 20th ACM international conference on Multimedia, MM '12, 2012. ,
DOI : 10.1145/2393347.2393384
Le projet ExploFormes, quelques pas vers la modélisation déclarative de formes, Bigre, vol.67, pp.35-49, 1990. ,
Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction, Applied Soft Computing, vol.13, issue.2, pp.806-816, 2013. ,
DOI : 10.1016/j.asoc.2012.10.026
Conception, mod??lisation g??om??trique et contraintes en CAO : une synth??se, Revue d'intelligence artificielle, vol.18, issue.5-6, pp.5-6, 2004. ,
DOI : 10.3166/ria.18.619-645
A data mining approach based on machine learning techniques to classify biological sequences. Knowledge-Based Systems, pp.217-223, 2002. ,
An extensive experimental comparison of methods for multi-label learning, Pattern Recognition, vol.45, issue.9, pp.3084-3104, 2012. ,
DOI : 10.1016/j.patcog.2012.03.004
EEtesioos of sseep sufaae constructions, Computers & Graphics, vol.999, issue.206, pp.893-903 ,
An expert system for polyhedral modeling, 1988. ,
Solving topological constraints for declarative families of objects, Computer-Aided Design, pp.652-662, 2007. ,
Artificial Intelligence -A Guide to Intelligent Systems, 2002. ,
08 22) Subconscious Musings -Advanced analytics from Research Drive to the world Récupéré sur SAS: http://blogs.sas.com/content/subconsciousmusingslooking-backwards- looking-forwards-sas-data-mining-and-machine-learning, 2014. ,
Aesthetic Curves and Surfaces in Computer Aided Geometric Design, International Journal of Automation Technology, vol.8, issue.3, pp.304-316, 2014. ,
Derivation of a general formula of aestetic curves, proceedings of the Eighth International Conference on Humans and Computers, 2005. ,
Geometric Modeling, 1995. ,
Different Regions Identification in Composite Strain-Encoded (C-SENC) Images Using Machine Learning Techniques, Artificial Neural Networks in Pattern Recognition, pp.231-240, 2010. ,
DOI : 10.1007/978-3-642-12159-3_21
Procedural modeling of buildings, ACM Transactions on Graphics, pp.614-623, 2006. ,
Kansei/Affective Engineering, Boca Raton, vol.20101242, 2011. ,
DOI : 10.1201/EBK1439821336
An innovative support vector machine based method for contextual image classification, ISPRS Journal of Photogrammetry and Remote Sensing, vol.87, pp.241-248, 2014. ,
DOI : 10.1016/j.isprsjprs.2013.11.004
Stock trend prediction based on fractal feature selection and support vector machine, Expert Systems with Applications, vol.38, issue.5, pp.5569-5576, 2011. ,
DOI : 10.1016/j.eswa.2010.10.079
Efficient Pairwise Classification, Proceedings of the 18th European Conference on Machine Learning, 2007. ,
DOI : 10.1007/978-3-540-74958-5_65
Récupéré sur Massachusetts Institute of Technology: http://ocw.mit.edu/courses/mechanical-engineering/2-158j- computational-geometry-spring-2003/lecture-notes, 2003. ,
Fully Free Form Deformation Features for Aesthetic and Engineering Design, 2004. ,
Constraints Automatic Relaxation to Design Products with Fully Free Form Features, Advances in Integrated Design and Manufacturing in Mechanical Engineering II, pp.145-160, 2007. ,
DOI : 10.1007/978-1-4020-6761-7_10
Aesthetic-oriented classification of 2D free-form curves, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01408794
On NURBS: a survey, IEEE Computer Graphics and Applications, vol.11, issue.1, pp.55-71, 1991. ,
DOI : 10.1109/38.67702
The NURBS Book, 1997. ,
La modélisation déclarative en synthèse d'images, tendences et perspectives, pp.94-97, 1994. ,
Terms and Measures for Styling Properties. International Design Conference -Design, 2002. ,
Two-Dimensional Multi-Label Active Learning with An Efficient Online Adaptation Model for Image Classification, IEEE Transaction on Pattern Analysis and Machine Intelligence, issue.10, pp.31-1880, 2009. ,
C4.5: Programs for Machine Learning, 1993. ,
PhD thesis: Scalable Multi-label Classification, 2010. ,
Efficient monte carlo methods for multi-dimensional learning with classifier chains, Pattern Recognition, vol.47, issue.3, pp.1535-1546, 2014. ,
DOI : 10.1016/j.patcog.2013.10.006
Classifier Chains for Multi-label Classification, Machine Learning, pp.333-359, 2011. ,
Design Preference Elicitation, Identification and Estimation, 2012. ,
Artificial Intelligence: A Modern Approach, 1995. ,
Image processing and machine learning for fully automated probabilistic evaluation of medical images, Computer Methods and Programs in Biomedicine, vol.104, issue.3, pp.75-86, 2011. ,
DOI : 10.1016/j.cmpb.2010.06.021
Pattern classification and clustering: A review of partially supervised learning approaches, Pattern Recognition Letters, vol.37, issue.1, pp.4-14, 2014. ,
DOI : 10.1016/j.patrec.2013.10.017
Implicit Representation of Parametric Curves and Surfaces, Computer Vision, Graphics, and Image Processing, pp.72-84, 1984. ,
A Study on Applications of Machine Learning Techniques in Data Mining, 2001. ,
Too Big to Ignore: The Business Case for Big Data, 2013. ,
DOI : 10.1002/9781119204039
Towards an integrated generative design framework, Design Studies, vol.33, issue.2, pp.185-207, 2012. ,
DOI : 10.1016/j.destud.2011.06.001
A Survey on Procedural Modelling for Virtual Worlds, Computer Graphics Forum, vol.32, issue.4, pp.31-50, 2014. ,
DOI : 10.1111/cgf.12276
Neural network systems for multi-dimensional temporal pattern classification, Computers & Chemical Engineering, vol.29, issue.5, pp.965-981, 2005. ,
DOI : 10.1016/j.compchemeng.2004.09.026
Structured design, IBM Systems Journal, vol.13, issue.2, pp.115-139, 1974. ,
DOI : 10.1147/sj.132.0115
Shape Grammars and the Generative Spesification of Painting and Sculptures . International Federation for Information Processing, 1971. ,
Full Bayesian network classifiers, Proceedings of the 23rd international conference on Machine learning , ICML '06, 2006. ,
DOI : 10.1145/1143844.1143957
Machine learning in radiology, Medical Image Analysis, vol.16, pp.933-951, 2012. ,
Introduction to Data Mining, 2006. ,
Correlation-based Attribute Selection using Genetic Algorithm, International Journal of Computer Applications, vol.4, issue.8, pp.975-8887, 2010. ,
DOI : 10.5120/847-1182
Multi-label classification of music by emotion, The Proceedings of the 9th International Conference on Music Information Retrieval, 2008. ,
DOI : 10.1007/s10994-008-5077-3
Multi-Label Classification, International Journal of Data Warehousing and Mining, vol.3, issue.3, pp.1-13, 2007. ,
DOI : 10.4018/jdwm.2007070101
Random k-Labelsets: An Ensemble Method for Multilabel Classification, 18th European Conference on Machine Learning, 2007. ,
DOI : 10.1007/978-3-540-74958-5_38
Conversions between Parametric and Implicit Forms Using Polar/Spherical Coordinate Representations, Computer Vision and Image Understanding, vol.81, issue.1, pp.1-25, 2001. ,
DOI : 10.1006/cviu.2000.0881
The nature of statistical learning theory, 1995. ,
(s.d.). WEKA. Consulté le 05 31, 2015. ,
Unsupervised Beyesian Models to Carry out Perceptual Evaluation in a Design Process, International Conference en Engineering Design, p.7, 2007. ,
Emotional state classification from EEG data using machine learning approach, Neurocomputing, vol.129, pp.94-106, 2014. ,
DOI : 10.1016/j.neucom.2013.06.046
Application of statistics and machine learning for risk stratification of heritable cardiac arrhythmias, Expert Systems with Applications, vol.40, issue.7, pp.2476-2486, 2013. ,
DOI : 10.1016/j.eswa.2012.10.054
Procedural Urban Modeling in Practice, IEEE Computer Graphics and Applications, vol.28, issue.3, pp.18-26, 2008. ,
DOI : 10.1109/MCG.2008.58
Data Mining -Practical Machine Learning Tools and Techniques, 2011. ,
3D Shape Retrieval Integrated with Classification Information, Fourth International Conference on Image and Graphics (ICIG 2007), 2007. ,
DOI : 10.1109/ICIG.2007.13
Data-Driven Shape Analysis and Processing, Computer Graphics Forum, pp.1-27, 2015. ,
Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control: Principles and Implementations, 2009. ,
Quasi-Aesthetic Curves in Rational Cubic B??zier Forms, Computer-Aided Design and Applications, vol.22, issue.9, pp.1-4, 2007. ,
DOI : 10.1080/16864360.2007.10738567
Solid modelling based on sixth order partial differential equations, Computer-Aided Design, vol.43, issue.6, pp.720-729, 2011. ,
DOI : 10.1016/j.cad.2011.01.021
Bayesian Chain Classifiers for Multidimensional Classification, Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, 2011. ,
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization, IEEE Transactions on Knowledge and Data Engineering, issue.10, pp.18-1338, 2006. ,
ML-KNN: A lazy learning approach to multi-label learning, Pattern Recognition, vol.40, issue.7, pp.2038-2048, 2007. ,
DOI : 10.1016/j.patcog.2006.12.019
List of Specifications of the ML algorithms, p.173 ,