François Petitjean
Orcid: 0000-0001-5334-3574
According to our database1,
François Petitjean
authored at least 80 papers
between 2010 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping.
Mach. Learn., June, 2023
Knowl. Inf. Syst., June, 2023
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2021
2020
Data Min. Knowl. Discov., 2020
Data Min. Knowl. Discov., 2020
Data Min. Knowl. Discov., 2020
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels.
Data Min. Knowl. Discov., 2020
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning.
CoRR, 2020
A Bayesian-inspired, deep learning, semi-supervised domain adaptation technique for land cover mapping.
CoRR, 2020
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
Unsupervised Domain Adaptation Techniques for Classification of Satellite Image Time Series.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 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
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
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
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the Artificial Intelligence in Medicine, 2019
2018
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes.
Mach. Learn., 2018
Optimizing dynamic time warping's window width for time series data mining applications.
Data Min. Knowl. Discov., 2018
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
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
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
Finding discriminative and interpretable patterns in sequences of surgical activities.
Artif. Intell. Medicine, 2017
Artif. Intell. Medicine, 2017
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
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 (IEEE BigData 2017), 2017
Proceedings of the Artificial Intelligence in Medicine, 2017
2016
Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm.
Knowl. Inf. Syst., 2016
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Artificial Intelligence in Medicine, 2015
2014
IEEE Geosci. Remote. Sens. Lett., 2014
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
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
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
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
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
Pattern Recognit., 2011
Int. J. Neural Syst., 2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
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
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010