IÑAKI
INZA CANO
PROFESORADO PLENO
Basque Center for Applied Mathematics
Bilbao, EspañaPublications in collaboration with researchers from Basque Center for Applied Mathematics (13)
2023
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Learning a logistic regression with the help of unknown features at prediction stage
Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
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SNDProb: A Probabilistic Approach for Streaming Novelty Detection
IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 6, pp. 6335-6348
2022
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Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020
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Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
Artificial Intelligence Review, Vol. 53, Núm. 5, pp. 3575-3594
2019
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A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators
IEEE Transactions on Knowledge and Data Engineering, Vol. 31, Núm. 1, pp. 195-200
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Aggregated outputs by linear models: An application on marine litter beaching prediction
Information Sciences, Vol. 481, pp. 381-393
2018
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A system for airport weather forecasting based on circular regression trees
Environmental Modelling and Software, Vol. 100, pp. 24-32
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Fitting the data from embryo implantation prediction: Learning from label proportions
Statistical Methods in Medical Research, Vol. 27, Núm. 4, pp. 1056-1066
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Learning to classify software defects from crowds: A novel approach
Applied Soft Computing Journal, Vol. 62, pp. 579-591
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Two datasets of defect reports labeled by a crowd of annotators of unknown reliability
Data in Brief
2017
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Learning from Proportions of Positive and Unlabeled Examples
International Journal of Intelligent Systems, Vol. 32, Núm. 2, pp. 109-133
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Measuring the class-imbalance extent of multi-class problems
Pattern Recognition Letters, Vol. 98, pp. 32-38
2016
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Efficient approximation of probability distributions with k-order decomposable models
International Journal of Approximate Reasoning, Vol. 74, pp. 58-87