List of works - Nathalie Japkowicz

A multi-view two-level classification method for generalized multi-instance problems

scholarly article published October 2014

A statistical pattern based feature extraction method on system call traces for anomaly detection

scientific article published on 26 May 2020

An Ensemble Method Based on AdaBoost and Meta-Learning

Applying instance-weighted support vector machines to class imbalanced datasets

scholarly article published October 2014

Automatic Target Recognition using multiple-aspect sonar images

Case Authoring from Text and Historical Experiences

Cost-Based Sampling of Individual Instances

article

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets

scholarly article by Xiaoguang Wang et al published 2013 in Lecture Notes in Computer Science

Ensemble of Multiple Kernel SVM Classifiers

article

Forecasting pulmonary air leak duration following lung surgery using transpleural airflow data from a digital pleural drainage device

article

Fuzzy String Matching with a Deep Neural Network

scholarly article by Daniel Shapiro et al published 2 January 2018 in Applied Artificial Intelligence

Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach

scientific article published on 5 April 2015

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.

scientific article

Manifold-based synthetic oversampling with manifold conformance estimation

Meta-MapReduce for scalable data mining

Meta-learning for large scale machine learning with MapReduce

scholarly article published October 2013

One-class classification – From theory to practice: A case-study in radioactive threat detection

Parallelizing Feature Selection

article published in 2006

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning

scholarly article published December 2013

Robustness of Classifiers to Changing Environments

Smooth Receiver Operating Characteristics (smROC) Curves

article

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets

The Decision List Machine ⬇️

scientific article published in January 2003

The class imbalance problem: A systematic study1

scientific article published on 18 October 2018

List of works by Nathalie Japkowicz

A multi-view two-level classification method for generalized multi-instance problems

A statistical pattern based feature extraction method on system call traces for anomaly detection

An Ensemble Method Based on AdaBoost and Meta-Learning

Applying instance-weighted support vector machines to class imbalanced datasets

Automatic Target Recognition using multiple-aspect sonar images

Case Authoring from Text and Historical Experiences

Cost-Based Sampling of Individual Instances

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets

Ensemble of Multiple Kernel SVM Classifiers

Forecasting pulmonary air leak duration following lung surgery using transpleural airflow data from a digital pleural drainage device

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-MapReduce for scalable data mining

Meta-learning for large scale machine learning with MapReduce

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

The Decision List Machine ⬇️

The class imbalance problem: A systematic study1

Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection