192 results on '"Inza, Iñaki"'
Search Results
2. A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks
3. Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine
4. Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization
5. Towards Competitive Classifiers for Unbalanced Classification Problems: A Study on the Performance Scores
6. Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization
7. Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework
8. Aggregated outputs by linear models: An application on marine litter beaching prediction
9. A system for airport weather forecasting based on circular regression trees
10. Learning to classify software defects from crowds: A novel approach
11. A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
12. Learning a logistic regression with the help of unknown features at prediction stage
13. Efficient approximation of probability distributions with k-order decomposable models
14. Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species
15. Learning from Crowds in Multi-dimensional Classification Domains
16. Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions
17. Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions
18. Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing
19. Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus
20. Information Theory and Classification Error in Probabilistic Classifiers
21. Learning Bayesian Networks by Floating Search Methods
22. Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer
23. A new measure for gene expression biclustering based on non-parametric correlation
24. Learning Bayesian network classifiers from label proportions
25. Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting
26. On Applying Supervised Classification Techniques in Medicine
27. Feature Subset Selection Using Probabilistic Tree Structures. A Case Study in the Survival of Cirrhotic Patients Treated with TIPS
28. Medical Bayes Networks
29. Machine Learning Inspired Approaches to Combine Standard Medical Measures at an Intensive Care Unit?
30. Dealing with the evaluation of supervised classification algorithms
31. Approaching Sentiment Analysis by using semi-supervised learning of multi-dimensional classifiers
32. Triku: a feature selection method based on nearest neighbors for single-cell data
33. A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
34. Fish recruitment prediction, using robust supervised classification methods
35. Bayesian classifiers based on kernel density estimation: Flexible classifiers
36. Wrapper positive Bayesian network classifiers
37. Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers
38. Multidimensional k-Interaction Classifier: Taking Advantage of All the Information Contained in Low Order Interactions
39. Learning from Crowds in Multi-dimensional Classification Domains
40. Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions
41. Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes
42. Machine Learning: An Indispensable Tool in Bioinformatics
43. Bayesian Classifiers with Consensus Gene Selection: A Case Study in the Systemic Lupus Erythematosus
44. Information Theory and Classification Error in Probabilistic Classifiers
45. A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models
46. Optimizing the number of classes in automated zooplankton classification
47. Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS
48. Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer
49. Learning Bayesian Networks by Floating Search Methods
50. A review of feature selection techniques in bioinformatics
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