Grants

Awards

I have been fortunate to receive the following awards:

Working papers

Comments most welcome!

  1. F. Petitjean, W. Buntine, G. Webb, N. Zaidi, “ Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes.”

Published Papers

(Comments also most welcome )

Google Scholar has this on me.

2017

  1. IEEE ICDM: G. Forestier, F. Petitjean, H.A. Dau, G. Webb, and E. Keogh, “Generating synthetic time series to augment sparse datasets.”
  2. SIAM SDM: C. Tan, G. Webb and F. Petitjean, “Indexing and classifying gigabytes of time series under time warping.”
  3. Machine Learning: N. Zaidi, G. Webb, M. Carman and F. Petitjean, “Efficient Parameter Learning of Bayesian Network Classifiers.”
  4. AIME: G. Forestier, F. Petitjean, L. Riffaud & P. Jannin, “Discovering Discriminative and Interpretable Patterns for Surgical Motion Analysis.”
  5. Artificial Intelligence in Medicine: G. Forestier, F. Petitjean, L. Riffaud & P. Jannin, “Automatic matching of surgeries to predict surgeons' next actions.”
  6. JCO Clinical Cancer Informatics : M. Ananda-Rajah, C. Bergmeir, F. Petitjean, M. Slavin, K. Thursky and G. Webb, “Towards electronic surveillance of invasive mold diseases in haematology-oncology patients: an expert system combining natural language processing of chest computed tomography reports, microbiology and antifungal drug data,” in press

2016

  1. Machine Learning: N. Zaidi, G. Webb, M. Carman and F. Petitjean, “ALRn: Accelerated Higher-Order Logistic Regression.”
  2. KDD: G. Webb and F. Petitjean, “A multiple test correction for streams and cascades of statistical hypothesis test.”
  3. Data Mining and Knowledge Discovery: F. Petitjean, T. Li, N. Tatti and G. Webb, “Skopus: Mining top-k sequential patterns under Leverage.”
  4. Data Mining and Knowledge Discovery: G. Webb, R. Hyde, H. Cao, H. Nguyen and F. Petitjean, “Characterizing Concept Drift.”
  5. PAKDD: N. Zaidi, F. Petitjean and G. Webb, “Pre-conditioning an Artificial Neural Network using Naive Bayes,” 2016.
  6. Knowledge and Information Systems: F. Petitjean, G. Forestier, G. Webb, A. Nicholson, Y. Chen and E. Keogh, “Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm,” in press.

2015

  1. SIAM SDM: F. Petitjean and G. Webb, “Scaling log-linear analysis to datasets with thousands of variables. ” Best Paper Honorable Mention.
  2. AIME: G. Forestier, F. Petitjean, L. Riffaud & P. Jannin, “Optimal sub-sequence matching for the automatic prediction of surgical tasks.” Best Paper Award.

2014

  1. IEEE ICDM: F. Petitjean, G. Forestier, G. Webb, A. Nicholson, Y. Chen and E. Keogh, “Dynamic Time Warping Averaging of Time Series allows Faster and more Accurate Classification.” Nominated for Best paper award (top 1%)
  2. IEEE ICDM: F. Petitjean, L. Allison, G. Webb, “A statistically efficient and scalable method for log-linear analysis of high-dimensional data.” Nominated for Best paper award (top 1%)
  3. Artificial Intelligence in Medicine: G. Forestier, F. Petitjean, L. Riffaud & P. Jannin, “Non-linear temporal scaling of surgical processes,” 2014.
  4. IEEE Geoscience and Remote Sensing Letters: F. Petitjean & J. Weber, “Efficient satellite image time series analysis under time warping,” 2014.
  5. International Journal of Remote Sensing 2014: F. Petitjean, J. Inglada & P. Gançarski, “Assessing the quality of temporal high-resolution classifications with low-resolution satellite images time series,” 2014.

2013

  1. IEEE ICDM: F. Petitjean, G. Webb and A. Nicholson, “Scaling log-linear analysis to high-dimensional data.”
  2. IEEE IGARSS: F. Petitjean, J. Inglada & P. Gançarski, “Detecting land-cover modifications from multi-resolution satellite image time series.”

2012

  1. Pattern Recognition Letters: F. Petitjean, C. Kurtz, N. Passat & P. Gançarski, “Spatio-Temporal Reasoning for the Classification of Satellite Image Time Series,” 2012.
  2. IEEE Transactions on Geoscience and Remote Sensing: F. Petitjean, J. Inglada & P. Gançarski, “Satellite Image Time Series Analysis under Time Warping,” 2012.
  3. IEEE IGARSS: F. Petitjean, J. Inglada & P. Gançarski, “Introducing prior knowledge in temporal distances for Satellite Image Time Series analysis.”
  4. IEEE IGARSS: F. Petitjean, A. Puissant & P. Gançarski, “Monitoring urban sprawl from Satellite Image Time Series.”
  5. IEEE IGARSS: J. Weber, F. Petitjean & P. Gançarski, “Towards efficient satellite image time series analysis: combination of Dynamic Time Warping and Quasi-Flat Zones.”
  6. Theoretical Computer Science: F. Petitjean & P. Gançarski, “Summarizing a Set of Time Series by Averaging:
    from Steiner Sequence to Compact Multiple Alignment,” 2012.

2011

  1. IEEE Multi-Temp: F. Petitjean, J. Inglada & P. Gançarski, “Clustering of satellite image time series under time warping.”
  2. IEEE IGARSS: F. Petitjean, J. Inglada & P. Gançarski, “Temporal Domain Adaptation under Time Warping.”
  3. IEEE IGARSS: C. Kurtz, F. Petitjean & P. Gançarski, “A context-based approach for the classification of Satellite Image Time Series.”
  4. International Journal of Neural Systems: F. Petitjean F. Masseglia, P. Gançarski & G. Forestier, “Discovering Significant Evolution Patterns from Satellite Image Time Series.”
  5. Pattern Recognition: F. Petitjean, A. Ketterlin & P. Gançarski, “A global averaging method for dynamic time warping, with applications to clustering.” Ranked 8th hottest article in Elsevier's Computer Science journals.
  6. EGC: F. Petitjean, F. Masseglia & P. Gançarski, “Découverte de motifs d'évolution significatifs dans les séries temporelles d'images satellites.”

2010

  1. IDEAL: F. Petitjean, P. Gançarski, F. Masseglia & G. Forestier, “Analysing Satellite Image Time Series by means of Pattern Mining.”
  2. SFC: F. Petitjean, P. Gançarski & A. Ketterlin, “Une solution pour l'application de Dynamic Time Warping au clustering.”
  3. SAGEO: F. Petitjean, P. Gançarski & F. Masseglia, “Extraction de motifs d'évolution dans les Séries Temporelles d'Images Satellites.”

Popular press

Program committees / Refereeing

Journals

Conferences / Workshops