Journal Contributions: Published

Jump to Year:   2002  1997  1996

2002
	P. Somol, P. Pudil. Feature Selection Toolbox. Pattern Recognition 35 (2002) 2749-2759			bib
1997
	A.L. Blum, P. Langley.. Selection of relevant features and examples in machine learning. Artificial Intelligence 97:1-2 (1997) 245-271			bib
	R. Kohavi, G.H. John. Wrappers for feature subset selection. Artificial Intelligence 97:1-2 (1997) 273-324			bib
1996
	D. Zongker, A.K. Jain. Algorithms for Feature Selection: An Evaluation. Pattern Recognition 2:2 (1996) 18-22			bib

 Conference Contributions

Jump to Year:   2002

2002
	J. Zhao, G.Y. Wang, Z.F. Wu, H. Tang, H. Li. The Study on Technologies for Feature Selection. I International conference on Machine Learning and Cybernetics (ICMLC'02). Lecture Notes in Computer Science 0, Springer-Verlag 2002, Beijing (China, 2002) 689-693			bib

 Journal Contributions: Accepted

Jump to Year:   2008

2008
	R. Ruiz, J.C. Riquelme, J.S. Aguilar-Ruiz. Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognition (2008) In press			bib

 Journal Contributions: Published

Jump to Year:   2005  2004  2003  2002  2001

2005
	A. Ahmad, L. Dey. A Feature Selection technique for classificatory analysis. Pattern Recognition Letters 26:1 (2005) 43-56			bib
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	T. Hsinga, L.Y. Liua, M.l. Brunb, E.R. Dougherty. The coefficient of intrinsic dependence (feature selection using el CID). Pattern Recognition 38 (2005) 623-636			bib
	J. Hua, Z. Xiong, J. Lowey, E. Suh, E.R. Dougherty. Optimal number of features as a function of sample size for various classification rules. Bioinformatics 21 (2005) 1509-1515			bib
	R. Kumar, V.K. Jayaraman, B.D. Kulkarni. An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples. Pattern Recognition 31:8 (2005) 41-49			bib
	P. Mitra, C.A. Murthy, S.K. Pal. Combined SVM-Based Feature Selection and Classification. Machine Learning 0 (2005) 1-22			bib
	F. Shih, S. Cheng. Improved feature reduction in input and feature spaces. Pattern Recognition 38 (2005) 651-659			bib
	C. Sima, U.M. Braga-Neto, E.R. Dougherty. Superior feature-set ranking for small samples using bolstered error estimation. Bioinformatics 21 (2005) 1046-1054			bib
2004
	C. Bhattacharyya. Second Order Cone Programming Formulations for Feature Selection. Journal of Machine Learning Research 5 (2004) 1417-1433			bib
	J.G. Dy, C.E. Brodley. Feature Selection for Unsupervised Learning. Journal of Machine Learning Research 5 (2004) 845-889			bib
	F. Fleuret. Fast Binary Feature Selection with Conditional Mutual Information. Journal of Machine Learning Research 5 (2004) 1531-1555			bib
	B. Krishnapuram, A.J. Harternink, L. Carin, M.A.T. Figueiredo. A Bayesian approach to joint feature selection and classifier design. IEEE Transactions on Pattern Analysis and Machine Intelligence 26:9 (2004) 1105-1111			bib
	M.H.C. Law, M.A.T. Figueiredo, A.K. Jain. Simultaneous feature selection and clustering using mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence 26:9 (2004) 1154-1166			bib
	H. Liu, H. Motoda, L. Yu. A selective sampling approach to active feature selection. Artificial Intelligence 159:1-2 (2004) 49-74			bib
	S. Piramuthu. Evaluating feature selection methods for learning in data mining applications. European Journal of Operational Research 156:2 (2004) 483-494			bib
	P. Somol, P. Pudil, J. Kittler. Fast branch & bound algorithms for optimal feature selection. IEEE Transactions on Pattern Analysis and Machine Intelligence 26:7 (2004) 900-912			bib
	D.J. Stracuzzi, P.E. Utgoff. Randomized Variable Elimination. Journal of Machine Learning Research 5 5 (2004) 1331-1362			bib
	L. Yu, H. Liu. Efficient Feature Selection via Analysis of Relevance and Redundancy. Journal of Machine Learning Research 5 (2004) 1205-1224			bib
2003
	J. Bi, K. Bennett, M. Embrechts, C. Breneman, M. Song. Dimensionality Reduction via Sparse Support Vector Machines. X 0 (2003) 1229-1243			bib
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	R. Bryll, R. Gutierrez-Osuna, F. Quek. Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets. Pattern Recognition 36 (2003) 1291-1302			bib
	R. Caruana, V.R. de Sa. Benefitting from the Variables that Variable Selection Discards. Journal of Machine Learning Research 3 (2003) 1245-1264			bib
	M. Dash, H. Liu. Consistency-based search in feature selection. Artificial Intelligence 151:1 (2003) 155-176			bib
	J.G. Dy, C.E. Brodley, A. Kak, L.S. Broderick, A.M. Aisen. Unsupervised feature selection applied to content-based retrieval of lung images. IEEE Transactions on Pattern Analysis and Machine Intelligence 25:3 (2003) 373-378			bib
	I. Guyon, A. Elisseeff. An Introduction to Variable and Feature Selection. Journal of Machine Learning Research 3 (2003) 1157-1182			bib
	F.J.Jr. Iannarilli, P.A. Rubin. Feature selection for multiclass discrimination via mixed-integer linear programming. IEEE Transactions on Pattern Analysis and Machine Intelligence 25:6 (2003) 779-783			bib
	S. Perkins, K. Lacker, J. Theiler. Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space. Journal of Machine Learning Research 3 (2003) 1333-1356			bib
	A. Rakotomamonjy. Variable Selection Using SVM based Criteria. Journal of Machine Learning Research 3 (2003) 1357-1370			bib
	J. Reunanen. Overfitting in Making Comparisons Between Variable Selection Methods. Journal of Machine Learning Research 3 (2003) 1371-1382			bib
	H. Stoppiglia, G. Dreyfus, R. Dubois, Y. Oussar. Ranking a Random Feature for Variable and Feature Selection. Journal of Machine Learning Research 3 (2003) 1399-1414			bib
2002
	N. Kwak, C.H. Choi. nput feature selection by mutual information based on Parzen window. IEEE Transactions on Pattern Analysis and Machine Intelligence 24:12 (2002) 1667-1671			bib
	P. Mitra, C.A. Murthy, S.K. Pal. Unsupervised feature selection using feature similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence 24:3 (2002) 301-312			bib
	M. Sebban, R. Nock. A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognition 35 (2002) 835-846			bib
	M. Sebban, R. Nock. A hybrid filter/wrapper approach of feature selection using information theory. Pattern Recognition 35 (2002) 835-846			bib
	H. Zhang, G. Sun. Feature selection using tabu search method. Pattern Recognition 35 (2002) 701-711			bib
2001
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 Conference Contributions

Jump to Year:   2005  2004  2003

2005
	Ch.K. Zhang, H. Hu. An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information. IIth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'05). Lecture Notes in Computer Science 3614, Springer 2005 2005, Changsha (China, 2005) 73-80			bib
2004
	X. Qianren, M. Kamel, M.M.A. Salama. Significance Test for Feature Subset Selection on Image Recognition. International Conference of Image Analysis and Recognition (ICIAR04). Lecture Notes in Computer Science 3211, Springer-Verlag 2004, Porto (Portugal, 2004) 244-252			bib
2003
	H. Liu, L. Yu, M. Dash, H. Motoda. Active Feature Selection Using Classes. VIIth Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'03). Lecture Notes in Computer Science 2637, Springer 2003 2003, Seoul (Korea, 2003) 474-485			bib

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     José Joaquín Aguilera García ()