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 | 2013 | |
|---|---|---|
| j9 |      | Víctor González-Castro, Rocío Alaíz-Rodríguez, Enrique Alegre: Class distribution estimation based on the Hellinger distance. Inf. Sci. 218: 146-164 (2013) |
| 2012 | ||
| j8 | | Enrique Alegre, Víctor González-Castro, Rocío Alaíz-Rodríguez, María Teresa García-Ordás: Texture and moments-based classification of the acrosome integrity of boar spermatozoa images. Computer Methods and Programs in Biomedicine 108(2): 873-881 (2012) |
| j7 | | Jose G. Moreno-Torres, Troy Raeder, Rocío Alaíz-Rodríguez, Nitesh V. Chawla, Francisco Herrera: A unifying view on dataset shift in classification. Pattern Recognition 45(1): 521-530 (2012) |
| 2011 | ||
| j6 | | Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro: Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift. Neurocomputing 74(16): 2614-2623 (2011) |
| c13 | | Roberto Guzmán-Martínez, Rocío Alaíz-Rodríguez: Feature Selection Stability Assessment Based on the Jensen-Shannon Divergence. ECML/PKDD (1) 2011: 597-612 |
| 2010 | ||
| c12 | | Enrique Alegre, Rocío Alaíz-Rodríguez, Joaquín Barreiro, Eduardo Fidalgo, Laura Fernández-Robles: Surface Finish Control in Machining Processes Using Haralick Descriptors and Neuronal Networks. CompIMAGE 2010: 231-241 |
| c11 | | Víctor González-Castro, Rocío Alaíz-Rodríguez, Laura Fernández-Robles, Roberto Guzmán-Martínez, Enrique Alegre: Estimating Class Proportions in Boar Semen Analysis Using the Hellinger Distance. IEA/AIE (1) 2010: 284-293 |
| 2009 | ||
| j5 | | Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro: Cost-sensitive learning based on Bregman divergences. Machine Learning 76(2-3): 271-285 (2009) |
| c10 | | Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro: Improving Classification under Changes in Class and Within-Class Distributions. IWANN (1) 2009: 122-130 |
| c9 | | Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro: Cost-Sensitive Learning Based on Bregman Divergences. ECML/PKDD (1) 2009: 12 |
| 2008 | ||
| c8 | | Rocío Alaíz-Rodríguez: Local Decision Bagging of Binary Neural Classifiers. Canadian Conference on AI 2008: 1-12 |
| c7 | | Rocío Alaíz-Rodríguez, Nathalie Japkowicz: Assessing the Impact of Changing Environments on Classifier Performance. Canadian Conference on AI 2008: 13-24 |
| c6 | | Lidia Sánchez, Víctor González-Castro, Enrique Alegre, Rocío Alaíz-Rodríguez: Classification and Quantification Based on Image Analysis for Sperm Samples with Uncertain Damaged/Intact Cell Proportions. ICIAR 2008: 827-836 |
| c5 | | Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer: Visualizing Classifier Performance on Different Domains. ICTAI (2) 2008: 3-10 |
| c4 | | Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer: A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. ECML/PKDD (2) 2008: 660-665 |
| 2007 | ||
| j4 | | Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro: Minimax Regret Classifier for Imprecise Class Distributions. Journal of Machine Learning Research 8: 103-130 (2007) |
| 2005 | ||
| j3 | | Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro: Loss functions to combine learning and decision in multiclass problems. Neurocomputing 69(1-3): 3-17 (2005) |
| j2 | | Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro: Minimax classifiers based on neural networks. Pattern Recognition 38(1): 29-39 (2005) |
| c3 | | Enrique Alegre, Rocío Alaíz-Rodríguez, Joaquín Barreiro, M. Viñuela: Tool Insert Wear Classification Using Statistical Descriptors and Neuronal Networks. CIARP 2005: 786-793 |
| 2004 | ||
| j1 | | Alicia Guerrero-Curieses, Jesús Cid-Sueiro, Rocío Alaíz-Rodríguez, Aníbal R. Figueiras-Vidal: Local estimation of posterior class probabilities to minimize classification errors. IEEE Transactions on Neural Networks 15(2): 309-317 (2004) |
| 2002 | ||
| c2 | | |
| c1 |  | Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro: Text classification based on posterior probability estimation and neural networks. PRIS 2002: 225-241 |
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