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Iñaki Inza
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Publications
- 2023
- [j42]Ander Carreño, Iñaki Inza, José Antonio Lozano:
SNDProb: A Probabilistic Approach for Streaming Novelty Detection. IEEE Trans. Knowl. Data Eng. 35(6): 6335-6348 (2023) - 2022
- [c16]Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano:
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. AIME 2022: 332-342 - 2020
- [j41]Ander Carreño, Iñaki Inza, José Antonio Lozano:
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework. Artif. Intell. Rev. 53(5): 3575-3594 (2020) - 2019
- [j40]Jerónimo Hernández-González, Iñaki Inza, Igor Granado, Oihane C. Basurko, Jose A. Fernandes, José Antonio Lozano:
Aggregated outputs by linear models: An application on marine litter beaching prediction. Inf. Sci. 481: 381-393 (2019) - [j39]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. IEEE Trans. Knowl. Data Eng. 31(1): 195-200 (2019) - 2018
- [j38]Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano:
Learning to classify software defects from crowds: A novel approach. Appl. Soft Comput. 62: 579-591 (2018) - [j37]Pablo Rozas Larraondo, Iñaki Inza, José Antonio Lozano:
A system for airport weather forecasting based on circular regression trees. Environ. Model. Softw. 100: 24-32 (2018) - 2017
- [j36]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning from Proportions of Positive and Unlabeled Examples. Int. J. Intell. Syst. 32(2): 109-133 (2017) - [j35]Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano:
Measuring the class-imbalance extent of multi-class problems. Pattern Recognit. Lett. 98: 32-38 (2017) - 2016
- [j34]Aritz Pérez, Iñaki Inza, José Antonio Lozano:
Efficient approximation of probability distributions with k-order decomposable models. Int. J. Approx. Reason. 74: 58-87 (2016) - [j33]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Weak supervision and other non-standard classification problems: A taxonomy. Pattern Recognit. Lett. 69: 49-55 (2016) - [j32]Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano:
Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2602-2614 (2016) - 2015
- [j31]Guzmán Santafé, Iñaki Inza, José Antonio Lozano:
Dealing with the evaluation of supervised classification algorithms. Artif. Intell. Rev. 44(4): 467-508 (2015) - [j30]Jose A. Fernandes, Xabier Irigoien, José Antonio Lozano, Iñaki Inza, Nerea Goikoetxea, Aritz Pérez Martínez:
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species. Ecol. Informatics 25: 35-42 (2015) - [j29]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection. Int. J. Intell. Syst. 30(3): 326-354 (2015) - [c13]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions. CAEPIA 2015: 3-13 - 2014
- [j28]Ramón Sagarna, Alexander Mendiburu, Iñaki Inza, José Antonio Lozano:
Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. Inf. Sci. 258: 122-139 (2014) - 2013
- [j26]Jose A. Fernandes, José Antonio Lozano, Iñaki Inza, Xabier Irigoien, Aritz Pérez, Juan Diego Rodríguez:
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting. Environ. Model. Softw. 40: 245-254 (2013) - [j25]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning Bayesian network classifiers from label proportions. Pattern Recognit. 46(12): 3425-3440 (2013) - [c12]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning from Crowds in Multi-dimensional Classification Domains. CAEPIA 2013: 352-362 - [c11]Aritz Pérez Martínez, José Antonio Lozano, Iñaki Inza:
Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions. CAEPIA 2013: 393-401 - 2012
- [j24]Jonathan Ortigosa-Hernández, Juan Diego Rodríguez, Leandro Alzate, Manuel Lucania, Iñaki Inza, José Antonio Lozano:
Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers. Neurocomputing 92: 98-115 (2012) - [j23]Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano:
Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33(3): 631-654 (2012) - 2008
- [j19]Rubén Armañanzas, Iñaki Inza, Roberto Santana, Yvan Saeys, Jose Luis Flores, José Antonio Lozano, Yves Van de Peer, Rosa Blanco, Víctor Robles, Concha Bielza, Pedro Larrañaga:
A review of estimation of distribution algorithms in bioinformatics. BioData Min. 1 (2008) - 2006
- [j15]Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles:
Machine learning in bioinformatics. Briefings Bioinform. 7(1): 86-112 (2006) - [e1]José Antonio Lozano, Pedro Larrañaga, Iñaki Inza, Endika Bengoetxea:
Towards a New Evolutionary Computation - Advances in the Estimation of Distribution Algorithms. Studies in Fuzziness and Soft Computing 192, Springer 2006, ISBN 978-3-540-29006-3 [contents] - 2005
- [j12]Pedro Larrañaga, José Antonio Lozano, José M. Peña, Iñaki Inza:
Editorial. Mach. Learn. 59(3): 211-212 (2005) - 2001
- [j4]José M. Peña, José Antonio Lozano, Pedro Larrañaga, Iñaki Inza:
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 23(6): 590-603 (2001) - 1999
- [j1]Iñaki Inza, Pedro Larrañaga, Basilio Sierra, Ramon Etxeberria, José Antonio Lozano, José M. Peña:
Representing the behaviour of supervised classification learning algorithms by Bayesian networks. Pattern Recognit. Lett. 20(11-13): 1201-1209 (1999)
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