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Personal profile

Biography

General information

I am a Senior Research Fellow in Machine Learning and the recipient of an ARC DECRA fellowship. I research algorithms in machine learning and build models for environmental and social good.

My main research interests currently include:

  • scaling up machine learning to large time series datasets
  • creating land-cover maps from series of high-resolution satellite images
  • modelling high-dimensional joint and conditional probabilities from categorical data

Grants

I have been fortunate to receive the following awards:

Some biography

I obtained my PhD in 2012 with the French Space Agency on the automatic analysis of satellite images, PhD for which I received "Best Science PhD" from the University of Strasbourg and "Best Machine Learning PhD" from the French Machine Learning Association. I then joined Professor Geoff Webb's team in the then Monash Centre for Data Science, and began developing new algorithms for scaling up standard statistical methods to large datasets. I obtained "tenure" in 2016.

Keywords

  • Bayesian networks
  • Data Analysis
  • Data Management/Analysis
  • Data Mining
  • Data analysis
  • Data management
  • Data mining
  • Data modelling
  • Earth Satellite Applications
  • Earth/Terrestrial Remote Sensing
  • Image Processing
  • Image analysis
  • Image processing, industrial image processing
  • Imaging Sciences
  • Remote Sensing
  • Remote Sensing Technology
  • Machine Learning
  • Big Data
  • Time Series Analysis
  • Satellite Images

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2019

A left-to-right algorithm for likelihood estimation in gamma-poisson factor analysis

Capdevila, J., Cerquides, J., Torres, J., Petitjean, F. & Buntine, W., 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018 Dublin, Ireland, September 10–14, 2018 Proceedings, Part II. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham Switzerland: Springer, p. 638-654 17 p. (Lecture Notes in Computer Science ; vol. 11052 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Elastic bands across the path: a new framework and method to lower bound DTW

Tan, C. W., Petitjean, F. & Webb, G. I., 2019, Proceedings of the 2019 SIAM International Conference on Data Mining. Berger-Wolf, T. & Chawla, N. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 522-530 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Proximity Forest: an effective and scalable distance-based classifier for time series

Lucas, B., Shifaz, A., Pelletier, C., O’Neill, L., Zaidi, N., Goethals, B., Petitjean, F. & Webb, G. I., May 2019, In : Data Mining and Knowledge Discovery. 33, 3, p. 607-635 29 p.

Research output: Contribution to journalArticleResearchpeer-review

Temporal Convolutional Neural Network for the classification of satellite image time series

Pelletier, C., Webb, G. I. & Petitjean, F., 4 Mar 2019, In : Remote Sensing. 11, 5, 25 p., 523.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File

Prizes

Dean's Award for Excellence in Research by an Early Career Researcher

Francois Petitjean (Recipient), 2015

Prize: Prize (including medals and awards)

Dean's Award for Excellence in Research Impact

Francois Petitjean (Recipient), 2016

Prize: Prize (including medals and awards)

Discovery Early Career Researcher Award

Francois Petitjean (Recipient), 2017

Prize: Prize (including medals and awards)

IBM Faculty Award

Francois Petitjean (Recipient), 30 Sep 2016

Prize: Prize (including medals and awards)

SIAM International Conference on Data Mining (SDM-18) Best Research Paper Award

Chang Wei Tan (Recipient), Matthieu Herrmann (Recipient), Germain Forestier (Recipient), Geoff Webb (Recipient) & Francois Petitjean (Recipient), 2018

Prize: Prize (including medals and awards)

Press / Media

Release of MonashVegMap

Francois Petitjean

5/07/19

1 item of media coverage

Press/Media: Article/Feature