Nathalie Japkowicz

According to our database1, Nathalie Japkowicz authored at least 110 papers between 1991 and 2019.

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Bibliography

2019
Mobile app traffic flow feature extraction and selection for improving classification robustness.
J. Network and Computer Applications, 2019

2018
Manifold-based synthetic oversampling with manifold conformance estimation.
Machine Learning, 2018

Probing the Limits of Anomaly Detectors for Automobiles with a Cyberattack Framework.
IEEE Intelligent Systems, 2018

Introduction to the Special Issue on Data Mining for Cybersecurity.
IEEE Intelligent Systems, 2018

One-class classification - From theory to practice: A case-study in radioactive threat detection.
Expert Syst. Appl., 2018

Learning over subconcepts: Strategies for 1-class classification.
Computational Intelligence, 2018

Threaded ensembles of autoencoders for stream learning.
Computational Intelligence, 2018

Fuzzy String Matching with a Deep Neural Network.
Applied Artificial Intelligence, 2018

Clustering in the Presence of Concept Drift.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Special issue on discovery science.
Machine Learning, 2017

Sampling a Longer Life: Binary versus One-class classification Revisited.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Meta-Morisita Index: Anomaly Behaviour Detection for Large Scale Tracking Data with Spatio-Temporal Marks.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Homography Estimation from Image Pairs with Hierarchical Convolutional Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Improving Active Learning for One-Class Classification Using Dimensionality Reduction.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
Beyond the Boundaries of SMOTE - A Framework for Manifold-Based Synthetically Oversampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Anomaly Detection in Automobile Control Network Data with Long Short-Term Memory Networks.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning.
Proceedings of the Advances in Artificial Intelligence, 2016

2015
Meta-MapReduce for scalable data mining.
J. Big Data, 2015

Gene selection for the reconstruction of stem cell differentiation trees: a linear programming approach.
Bioinformatics, 2015

Frequency-based anomaly detection for the automotive CAN bus.
Proceedings of the 2015 World Congress on Industrial Control Systems Security, 2015

Synthetic Oversampling for Advanced Radioactive Threat Detection.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Multi-label Classification of Anemia Patients.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Active Learning for One-Class Classification.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Multi-class learning using data driven ECOC with deep search and re-balancing.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Explicit feature mapping via multi-layer perceptron and its application to Mine-Like Objects detection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Smoothing gamma ray spectra to improve outlier detection.
Proceedings of the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2014

Automatic Target Recognition using multiple-aspect sonar images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Vessel track correlation and association using fuzzy logic and Echo State Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A multi-view two-level classification method for generalized multi-instance problems.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Applying instance-weighted support vector machines to class imbalanced datasets.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

Ensemble of Multiple Kernel SVM Classifiers.
Proceedings of the Advances in Artificial Intelligence, 2014

2013
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Resampling and Cost-Sensitive Methods for Imbalanced Multi-instance Learning.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Meta-learning for large scale machine learning with MapReduce.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

On the Benefits (or Not) of a Clustering Algorithm in Student Tracking.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets.
Proceedings of the Advances in Artificial Intelligence, 2013

An Ensemble Method Based on AdaBoost and Meta-Learning.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Using SVM with Adaptively Asymmetric MisClassification Costs for Mine-Like Objects Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

One-Class versus Binary Classification: Which and When?
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Sampling Online Social Networks Using Coupling from the Past.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

The PerfSim Algorithm for Concept Drift Detection in Imbalanced Data.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Anomaly detection in gamma ray spectra: A machine learning perspective.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications, 2012

Clustering Based One-Class Classification for Compliance Verification of the Comprehensive Nuclear-Test-Ban Treaty.
Proceedings of the Advances in Artificial Intelligence, 2012

Applying Least Angle Regression to ELM.
Proceedings of the Advances in Artificial Intelligence, 2012

Anomaly Detection via Coupled Gaussian Kernels.
Proceedings of the Advances in Artificial Intelligence, 2012

Mining the Hidden Structure of Inductive Learning Data Sets.
Proceedings of the Advances in Artificial Intelligence, 2012

2011
Smooth Receiver Operating Characteristics (smROC) Curves.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Motivating the inclusion of meteorological indicators in the CTBT feature-space.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011

Compact Features for Sentiment Analysis.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning.
J. Exp. Theor. Artif. Intell., 2010

Improving Bayesian Learning Using Public Knowledge.
Proceedings of the Advances in Artificial Intelligence, 2010

Cascading Customized Naïve Bayes Couple.
Proceedings of the Advances in Artificial Intelligence, 2010

Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification.
Proceedings of the Advances in Artificial Intelligence, 2010

Robustness of Classifiers to Changing Environments.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Unknown malcode detection and the imbalance problem.
Journal in Computer Virology, 2009

Workshop summary: The fourth workshop on evaluation methods for machine learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Cost-Based Sampling of Individual Instances.
Proceedings of the Advances in Artificial Intelligence, 2009

Evaluation Methods for Ordinal Classification.
Proceedings of the Advances in Artificial Intelligence, 2009

Instance Selection by Border Sampling in Multi-class Domains.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
A Projection-Based Framework for Classifier Performance Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Boosting Support Vector Machines for Imbalanced Data Sets.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Classifier Utility Visualization by Distance-Preserving Projection of High Dimensional Performance D.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Visualizing Classifier Performance on Different Domains.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Border Sampling through Coupling Markov Chain Monte Carlo.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Using Unsupervised Learning for Network Alert Correlation.
Proceedings of the Advances in Artificial Intelligence , 2008

Full Border Identification for Reduction of Training Sets.
Proceedings of the Advances in Artificial Intelligence , 2008

Assessing the Impact of Changing Environments on Classifier Performance.
Proceedings of the Advances in Artificial Intelligence , 2008

2007
Node similarity in the citation graph.
Knowl. Inf. Syst., 2007

AAAI-07 Workshop Reports.
AI Magazine, 2007

A Unified Framework for Relative Clause Simplification and Relative Pronoun Correction.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

AutoCorrel II: a neural network event correlation approach.
Proceedings of the Data Mining, 2007

A Meta-learning Approach for Selecting between Response Automation Strategies in a Help-desk Domain.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Parallelizing Feature Selection.
Algorithmica, 2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.
AI Magazine, 2006

Three and Four Phase Scenarios for Dynamic Document Organization.
Proceedings of the IEEE International Conference on Systems, 2006

A Feature Selection and Evaluation Scheme for Computer Virus Detection.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Evaluating Misclassifications in Imbalanced Data.
Proceedings of the Machine Learning: ECML 2006, 2006

AutoCorrel: a neural network event correlation approach.
Proceedings of the Data Mining, 2006

Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
PEEP- Privacy Enforcement in Email Project.
Proceedings of the Third Annual Conference on Privacy, 2005

STochFS: A Framework for Combining Feature Selection Outcomes Through a Stochastic Process.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Clustering using an Autoassociator: A Case Study in Network Event Correlation.
Proceedings of the International Conference on Parallel and Distributed Computing Systems, 2005

PEEP- An Information Extraction base approach for Privacy Protection in Email.
Proceedings of the CEAS 2005, 2005

English to Chinese Translation of Prepositions.
Proceedings of the Advances in Artificial Intelligence, 2005

Privacy Compliance Enforcement in Email.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
Class imbalances versus small disjuncts.
SIGKDD Explorations, 2004

Editorial: special issue on learning from imbalanced data sets.
SIGKDD Explorations, 2004

A Multiple Resampling Method for Learning from Imbalanced Data Sets.
Computational Intelligence, 2004

Privacy-Preserving Collaborative Association Rule Mining.
Proceedings of the Fourth International Conference on Electronic Business, 2004

Applying Support Vector Machines to Imbalanced Datasets.
Proceedings of the Machine Learning: ECML 2004, 2004

An Automatic Evaluation Framework for Improving a Configurable Text Summarizer.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
Case Authoring from Text and Historical Experiences.
Proceedings of the Advances in Artificial Intelligence, 2003

2002
The class imbalance problem: A systematic study.
Intell. Data Anal., 2002

The Decision List Machine.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Text Summarization as Controlled Search.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks.
Machine Learning, 2001

AAAI 2000 Workshop Reports.
AI Magazine, 2001

A Mixture-of-Experts Framework for Learning from Imbalanced Data Sets.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

A mixture-of-experts framework for text classification.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Node similarity in networked information spaces.
Proceedings of the 2001 conference of the Centre for Advanced Studies on Collaborative Research, 2001

Using Unsupervised Learning to Guide Resampling in Imbalanced Data Sets.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

Concept-Learning in the Presence of Between-Class and Within-Class Imbalances.
Proceedings of the Advances in Artificial Intelligence, 2001

2000
Nonlinear Autoassociation Is Not Equivalent to PCA.
Neural Computation, 2000

A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Adaptability of the backpropagation procedure.
Proceedings of the International Joint Conference Neural Networks, 1999

1995
A Novelty Detection Approach to Classification.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
Bootstrapping Training-Data Representations for Inductive Learning: A Case Study in Molecular Biology.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1991
A System for Translating Locative Prepositions from English into French.
Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, 1991


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