Japkowicz, Nathalie.
Nathalie Japkowicz
VIAF ID: 88452423 (Personal)
Permalink: http://viaf.org/viaf/88452423
Preferred Forms
- 100 1 _ ‡a Japkowicz, Nathalie
- 100 1 _ ‡a Japkowicz, Nathalie
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- 100 1 _ ‡a Japkowicz, Nathalie
- 100 1 _ ‡a Japkowicz, Nathalie
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- 100 0 _ ‡a Nathalie Japkowicz
4xx's: Alternate Name Forms (3)
5xx's: Related Names (1)
Works
Title | Sources |
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Advances in artificial intelligence : 22nd Canadian Conference on Artificial Intelligence, Canadian AI 2009, Kelowna, Canada, May 25-27, 2009 : proceedings | |
Applying instance-weighted support vector machines to class imbalanced datasets | |
Automatic Target Recognition using multiple-aspect sonar images | |
Big Data Analysis: New Algorithms for a New Society | |
Case Authoring from Text and Historical Experiences | |
The class imbalance problem: A systematic study1 | |
Cost-Based Sampling of Individual Instances | |
The Decision List Machine | |
Discovery Science : 18th International Conference, DS 2015, Banff, AB, Canada, October 4-6, 2015. Proceedings | |
An Ensemble Method Based on AdaBoost and Meta-Learning | |
Ensemble of Multiple Kernel SVM Classifiers | |
Evaluating Learning Algorithms : a classification perspective | |
Evaluating Learning Algorithms / Nathalie Japkowicz, Mohak Shah. - Cambridge, 2011. | |
Forecasting pulmonary air leak duration following lung surgery using transpleural airflow data from a digital pleural drainage device | |
Foundations of Intelligent Systems : 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings | |
Fuzzy String Matching with a Deep Neural Network | |
Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach | |
Improving Bayesian Learning Using Public Knowledge | |
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm | |
Machine learning for radioxenon event classification for the Comprehensive Nuclear-Test-Ban Treaty. | |
Manifold-based synthetic oversampling with manifold conformance estimation | |
Meta-learning for large scale machine learning with MapReduce | |
A multi-view two-level classification method for generalized multi-instance problems | |
One-class classification – From theory to practice: A case-study in radioactive threat detection | |
Parallelizing Feature Selection | |
Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning | |
Robustness of Classifiers to Changing Environments | |
Smooth Receiver Operating Characteristics (smROC) Curves | |
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets | |
A statistical pattern based feature extraction method on system call traces for anomaly detection | |
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection |