François Petitjean

According to our database1, François Petitjean authored at least 69 papers between 2010 and 2020.

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Bibliography

2020
Bayesian network classifiers using ensembles and smoothing.
Knowl. Inf. Syst., 2020

FastEE: Fast Ensembles of Elastic Distances for time series classification.
Data Min. Knowl. Discov., 2020

TS-CHIEF: a scalable and accurate forest algorithm for time series classification.
Data Min. Knowl. Discov., 2020

InceptionTime: Finding AlexNet for time series classification.
Data Min. Knowl. Discov., 2020

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.
Data Min. Knowl. Discov., 2020

Time Series Regression.
CoRR, 2020

Monash University, UEA, UCR Time Series Regression Archive.
CoRR, 2020

A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping.
CoRR, 2020

Hierarchical Gradient Smoothing for Probability Estimation Trees.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series.
Remote. Sens., 2019

Available, but not accessible? Investigating publishers' e-lending licensing practices.
Inf. Res., 2019

What can 100, 000 books tell us about the international public library e-lending landscape?
Inf. Res., 2019

Proximity Forest: an effective and scalable distance-based classifier for time series.
Data Min. Knowl. Discov., 2019

Time series classification for varying length series.
CoRR, 2019

Elastic bands across the path: A new framework and method to lower bound DTW.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Using Sentinel-2 Image Time Series to map the State of Victoria, Australia.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series.
Proceedings of the 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2019

Deep Learning for the Classification of Sentinel-2 Image Time Series.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Automatic Alignment of Surgical Videos Using Kinematic Data.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes.
Mach. Learn., 2018

Analyzing concept drift and shift from sample data.
Data Min. Knowl. Discov., 2018

Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018

Elastic bands across the path: A new framework and methods to lower bound DTW.
CoRR, 2018

On the Inter-relationships among Drift rate, Forgetting rate, Bias/variance profile and Error.
CoRR, 2018

Surgical skills: Can learning curves be computed from recordings of surgical activities?
Int. J. Comput. Assist. Radiol. Surg., 2018

Surgical motion analysis using discriminative interpretable patterns.
Artif. Intell. Medicine, 2018

Efficient and Effective Accelerated Hierarchical Higher-Order Logistic Regression for Large Data Quantities.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Efficient search of the best warping window for Dynamic Time Warping.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2017
Efficient parameter learning of Bayesian network classifiers.
Mach. Learn., 2017

Understanding Concept Drift.
CoRR, 2017

Finding discriminative and interpretable patterns in sequences of surgical activities.
Artif. Intell. Medicine, 2017

Automatic matching of surgeries to predict surgeons' next actions.
Artif. Intell. Medicine, 2017

Indexing and classifying gigabytes of time series under time warping.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Generating Synthetic Time Series to Augment Sparse Datasets.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
ALR<sup>n</sup>: accelerated higher-order logistic regression.
Mach. Learn., 2016

Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm.
Knowl. Inf. Syst., 2016

Characterizing concept drift.
Data Min. Knowl. Discov., 2016

Skopus: Mining top-k sequential patterns under leverage.
Data Min. Knowl. Discov., 2016

Use of symbolic dynamic time warping in hierarchical clustering of urban fabric evolutions extracted from spatiotemporal topographic databases.
AI Commun., 2016

Preconditioning an Artificial Neural Network Using Naive Bayes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Multiple Test Correction for Streams and Cascades of Statistical Hypothesis Tests.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable Learning of Graphical Models.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Deep Broad Learning - Big Models for Big Data.
CoRR, 2015

Exact discovery of the most interesting sequential patterns.
CoRR, 2015

Scaling log-linear analysis to datasets with thousands of variables.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Optimal Sub-Sequence Matching for the Automatic Prediction of Surgical Tasks.
Proceedings of the Artificial Intelligence in Medicine, 2015

2014
Efficient Satellite Image Time Series Analysis Under Time Warping.
IEEE Geosci. Remote. Sens. Lett., 2014

Non-linear temporal scaling of surgical processes.
Artif. Intell. Medicine, 2014

Preface to the 1st ECML/PKDD workshop on Statistically Sound Data Mining.
Proceedings of the 1st ECML/PKDD Workshop on Statistically Sound Data Mining, 2014

Dynamic Time Warping Averaging of Time Series Allows Faster and More Accurate Classification.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

A Statistically Efficient and Scalable Method for Log-Linear Analysis of High-Dimensional Data.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013
Detecting land-cover modifications from multi-resolution satellite image time series.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Scaling Log-Linear Analysis to High-Dimensional Data.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Satellite Image Time Series Analysis Under Time Warping.
IEEE Trans. Geosci. Remote. Sens., 2012

Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment.
Theor. Comput. Sci., 2012

Spatio-temporal reasoning for the classification of satellite image time series.
Pattern Recognit. Lett., 2012

Towards efficient satellite image time series analysis: Combination of dynamic time warping and quasi-flat zones.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Monitoring urban sprawl from Satellite Image Time Series.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
A global averaging method for dynamic time warping, with applications to clustering.
Pattern Recognit., 2011

Discovering Significant Evolution Patterns from Satellite Image Time Series.
Int. J. Neural Syst., 2011

Temporal domain adaptation under time warping.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

A context-based approach for the classification of Satellite Image Time Series.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Découverte de motifs d'évolutions significatifs dans les séries temporelles d'images satellites.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010
Analysing Satellite Image Time Series by Means of Pattern Mining.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010


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