Elías F. Combarro
Elías F. Combarro
Professor of Computer Science, University of Oviedo
Verified email at uniovi.es
TitleCited byYear
Introducing a family of linear measures for feature selection in text categorization
EF Combarro, E Montanes, I Diaz, J Ranilla, R Mones
IEEE transactions on Knowledge and Data Engineering 17 (9), 1223-1232, 2005
1012005
Identification of fuzzy measures from sample data with genetic algorithms
EF Combarro, P Miranda
Computers & Operations Research 33 (10), 3046-3066, 2006
612006
Scoring and selecting terms for text categorization
E Montanes, I Diaz, J Ranilla, EF Combarro, J Fernandez
IEEE Intelligent Systems 20 (3), 40-47, 2005
612005
A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study
PJG Nieto, EF Combarro, JJ del Coz Díaz, E Montañés
Applied mathematics and computation 219 (17), 8923-8937, 2013
572013
Improving performance of text categorization by combining filtering and support vector machines
I Díaz, J Ranilla, E Montañes, J Fernández, EF Combarro
Journal of the American society for information science and technology 55 (7 …, 2004
412004
Extreme points of some families of non-additive measures
P Miranda, EF Combarro, P Gil
European journal of operational research 174 (3), 1865-1884, 2006
312006
Classification of semifields of order 64
IF Rúa, EF Combarro, J Ranilla
Journal of Algebra 322 (11), 4011-4029, 2009
302009
Measures of rule quality for feature selection in text categorization
E Montañés, J Fernández, I Díaz, EF Combarro, J Ranilla
international Symposium on Intelligent data analysis, 589-598, 2003
262003
On the polytope of non-additive measures
EF Combarro, P Miranda
Fuzzy Sets and Systems 159 (16), 2145-2162, 2008
172008
Determination of division algebras with 243 elements
IF Rúa, EF Combarro, J Ranilla
Finite Fields and Their Applications 18 (6), 1148-1155, 2012
162012
Towards automatic and optimal filtering levels for feature selection in text categorization
E Montañés, EF Combarro, I Díaz, J Ranilla
International Symposium on Intelligent Data Analysis, 239-248, 2005
162005
New advances in the computational exploration of semifields
EF Combarro, IF Rúa, J Ranilla
International Journal of Computer Mathematics 88 (9), 1990-2000, 2011
152011
On the structure of some families of fuzzy measures
P Miranda, EÍF Combarro
IEEE Transactions on Fuzzy Systems 15 (6), 1068-1081, 2007
142007
On the structure of the k-additive fuzzy measures
EF Combarro, P Miranda
Fuzzy Sets and Systems 161 (17), 2314-2327, 2010
132010
Characterizing isometries on the order polytope with an application to the theory of fuzzy measures
EF Combarro, P Miranda
Information Sciences 180 (3), 384-398, 2010
112010
On random generation of fuzzy measures
EF Combarro, I Díaz, P Miranda
Fuzzy Sets and Systems 228, 64-77, 2013
102013
Adjacency on the order polytope with applications to the theory of fuzzy measures
EF Combarro, P Miranda
Fuzzy Sets and Systems 161 (5), 619-641, 2010
102010
Machine learning applied to the prediction of citrus production
I Díaz, SM Mazza, EFC Álvarez, LI Giménez, JE Gaiad
Spanish journal of agricultural research 15 (2), 7, 2017
92017
Automatic arable land detection with supervised machine learning
RB Arango, I Díaz, A Campos, ER Canas, EF Combarro
Earth Science Informatics 9 (4), 535-545, 2016
82016
Mapping cultivable land from satellite imagery with clustering algorithms
RB Arango, AM Campos, EF Combarro, ER Canas, I Díaz
International journal of applied earth observation and geoinformation 49, 99-106, 2016
82016
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