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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.

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

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

Petitjean, F., Buntine, W., Webb, G. I. & Zaidi, N., Sep 2018, In : Machine Learning. 107, 8-10, p. 1303-1331 29 p.

Research output: Contribution to journalArticleResearchpeer-review

Analyzing concept drift and shift from sample data

Webb, G. I., Lee, L. K., Goethals, B. & Petitjean, F., Sep 2018, In : Data Mining and Knowledge Discovery. 32, 5, p. 1179-1199 21 p.

Research output: Contribution to journalArticleResearchpeer-review

Efficient and effective accelerated hierarchical higher-order logistic regression for large data quantities

Zaidi, N. A., Petitjean, F. & Webb, G. I., 2018, 2018 SIAM International Conference on Data Mining, SDM 2018: San Diego Marriott Mission Valley San Diego, California USA May 3-5, 2018. Ester, M. & Pedreschi, D. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 459-467 9 p.

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

Efficient search of the best warping window for Dynamic time Warping

Tan, C. W., Herrmann, M., Forestier, G., Webb, G. I. & Petitjean, F., 2018, 2018 SIAM International Conference on Data Mining, SDM 2018: San Diego Marriott Mission Valley San Diego, California USA May 3-5, 2018. Ester, M. & Pedreschi, D. (eds.). Philadelphia PA USA: Society for Industrial & Applied Mathematics (SIAM), p. 225-233 9 p.

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

Prizes

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)