Selected papers

    • T.T.T. Phuong, A. Douzal-Chouakria, S. Varasteh Yazdi, P. Honeine, P. Gallinari (2020). Interpretable time series kernel analytics by pre-image estimation. Artificial Intelligence, Vol. 286, 103342. (link).
    • S. Varasteh, A. Douzal-Chouakria, P. Gallinari, M. Moussallame (2018). Time warp invariant dictionary learning for time series clustering: application to music data stream analysis. ECML/PKDD, Dublin (link).
    • S. Varasteh, A. Douzal-Chouakria (2018). Time warp invariant kSVD: Sparse coding and dictionary learning for time series under time warp. Pattern Recognition Letters, 112, 1-8 (link).
    • J. Yuan, A. Douzal-Chouakria, S. Varasteh Yard & Z. Wang (2019). A large margin time series nearest neighbour classification under locally weighted time warps. Knowledge and Information Systems, 59(1), 117-135. (link)
    • Do, C. T., Douzal-Chouakria, A., Marié, S., Rombaut, M., & Varasteh, S. (2017). Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Information Sciences, 418, 272-285. (link).
    • S. Soheily-Khah, A. Douzal-Chouakria, E. Gaussier (2016). Generalized k-means-based clustering for temporal data under weighted and kernel time warp. Pattern Recognition Letters, 75, 63-69. (link).
    • Douzal-Chouakria, Ahlame, José A. Vilar, and Pierre-François Marteau, eds. (2016). Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers. Vol. 9785. Springer. (link).
    • S. Kleisarchaki, S. Amer-Yahia, A. Douzal-Chouakria, V.Christophides (2015). Querying Temporal Drifts at Multiple Granularities. CIKM'2015 (link)
    • C. Frambourg, A. Douzal-Chouakria, E. Gaussier (2013). Learning Multiple Temporal Matching for Time Series Classification. Intelligent Data Analysis (IDA'2013), London (link)
    • A. Douzal-Chouakria, C. Amblard (2012). Classification trees for time series. Pattern Recognition Journal, 45, 3, 1076-1091. Elsevier (link).
    • A. Douzal-Chouakria, L. Billard, E. Diday (2011). Principal component analysis for interval-valued observations. Statistical Analysis and Data Mining, Volume 4, Issue 2, pages 229-246. Wiley (link).
    • A. Douzal-Chouakria, A. Diallo, F. Giroud (2010). A random-periods model for the comparison of a metrics efficiency to classify cell-cycle expressed genes. Pattern Recognition Letters. 31, 1601-1617. Elsevier (link).
    • A. Douzal-Chouakria, A. Diallo, F. Giroud (2009). Adaptive clustering for time series: application for identifying cell cycle expressed genes. Computational Statistics and Data Analysis 53 (4), 1414-1426. Elsevier (link).
    • A. Douzal-Chouakria, Panduranga Naidu Nagabhushan (2007). Adaptive dissimilarity index for measuring time series proximity. Advances in Data Analysis and Classification. 1, 5-21, Springer Berlin / Heidelberg. (link)
    • A. Douzal-Chouakria (2003). Compression Technique Preserving Correlations of a Multivariate Temporal Sequence. In: M.R. Berthold, H-J Lenz, E. Bradley, R. Kruse, C. Borgelt (eds.). Intelligent Data Analysis (IDA'2003), V, 566-577, Springer, ISBN: 3-540-40813-4. (link)
    2020
      • T.T.T. Phuong, A. Douzal-Chouakria, S. Varasteh Yazdi, P. Honeine, P. Gallinari (2020). Interpretable time series kernel analytics by pre-image estimation. Artificial Intelligence, Vol. 286, 103342. (link).
      2018
        • S. Varasteh, A. Douzal-Chouakria, P. Gallinari, M. Moussallame (2018). Time warp invariant dictionary learning for time series clustering: application to music data stream analysis. ECML/PKDD, Dublin (link).
          • S. Varasteh, A. Douzal-Chouakria (2018). Time warp invariant kSVD: Sparse coding and dictionary learning for time series under time warp. Pattern Recognition Letters, 112, 1-8 (link).
          • < J. Yuan, A. Douzal-Chouakria, S. Varasteh & Z. Wang. (2018). A large margin time series nearest neighbour classification under locally weighted time warps, Knowledge and Information Systems. 10.1007/s10115-018-1184-z. (link).
          • Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal-Chouakria, Ky T. Nguyen and Anh-Duong Nguyen (2018). Scalable Active Constrained Clustering For Temporal Data, DASFAA’18 (to appear).
          • Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal-Chouakria (2018). Scalable Active Temporal Constrained Clustering, EDBT'2018 (to appear).
          2017
            • Do, C. T., Douzal-Chouakria, A., Marié, S., Rombaut, M., & Varasteh, S. (2017) . Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Information Sciences, 418, 272-285. (link).
          2016
            • Douzal-Chouakria, Ahlame, José A. Vilar, and Pierre-François Marteau, eds. (2016). Advanced Analysis and Learning on Temporal Data: First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers. Vol. 9785. Springer. (link).
            • S. Soheily-Khah, A. Douzal-Chouakria, E. Gaussier. Generalized k-means-based clustering for temporal data under weighted and kernel time warp. Pattern Recognition Letters, 75, 63-69. (link).
            • Kawala, F., Gaussier, É., Douzal-Chouakria, A., & Diemert, E. (2016). A study of different keyword activity prediction problems in social media. International Journal of Social Network Mining, 2(3), 224-255.(link).
          2015
            • S. Kleisarchaki, S. Amer-Yahia, A. Douzal-Chouakria, V.Christophides. Querying Temporal Drifts at Multiple Granularities. CIKM'2015 (link)
            • L. Billard, A. Douzal-Chouakria, S.Y. Samadi. An Exploratory Analysis of Multiple Multivariate Time Series. ECML-PKDD'2015 Workshop on Advanced Analytics and Learning from Temporal Data, 19-26 (link)
            • C. Do, A. Douzal-Chouakria, S. Marié, M. Rombaut. Multiple Metric Learning for large margin kNN Classification of time series, EUSIPCO'2015 (link)
            • C. Do, A. Douzal-Chouakria, S. Marié, M. Rombaut. Temporal and Frequential Metric Learning for Time Series kNN Classification. ECML-PKDD'2015 Workshop on Advanced Analytics and Learning from Temporal Data, 39-45 (link)
            • S. Soheily-Khah, A. Douzal-Chouakria, E. Gaussier. Progressive and Iterative Approaches for Time Series Averaging. ECML-PKDD'2015 Workshop on Advanced Analytics and Learning from Temporal Data, 123-129 (link)
            • H. Mirisaee, A. Douzal-Chouakria and A. Termier. Selecting representative instances from datasets. DSAA'2015, IEEE International Conference on Data Science and Advanced Analytics (link)
            • K. Basu, V. Debusschere, A. Douzal-Chouakria, S. Bacha. Time series distance-based methods for non-intrusive load monitoring in residential buildings, Energy and Buildings. Elsevier, 96, 109–117 (link)
          2014
            • S. Kleisarchaki, V.Christophides, S. Amer-Yahia, A. Douzal-Chouakria (2014). Online Detection of Topic Change in Social Posts. BigData Innovators Gathering Big'2014. (link)
            • F. Kawala, E. Gaussier, A. Douzal-Chouakria, E. Diemert (2013). Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. CORIA'2014 (link).
          2013
            • C. Frambourg, A. Douzal-Chouakria, E. Gaussier (2013). Learning Multiple Temporal Matching for Time Series Classification. Intelligent Data Analysis, London (link)
            • F. Kawala, E. Gaussier, A. Douzal-Chouakria, E. Diemert (2013). Prédire l’amplitude des « buzz » dans les médias sociaux. Modèles et l’Analyse des Réseaux : Approches Mathématiques et Informatiques MARAMI’2013 (link).
            • C. Frambourg, A. Douzal-Chouakria, E. Gaussier (2013). New temporal matching strategies for time series discrimination. European Conference on Data Analysis ECDA’2013, Luxembourg (link)
          2012
            • Habilitation à diriger des recherches : “Contributions à l’analyse de données temporelles”, Université Joseph Fourier – Grenoble 1, novembre 2012. (report, slides).
            • A. Douzal-Chouakria, C. Amblard (2012). Classification trees for time series. Pattern Recognition Journal, 45, 3, 1076-1091. Elsevier (link).
            • A. Douzal-Chouakria, C. Amblard (2012). Adaptive split test for multivariate time series classification trees. Conférence Francophone sur l’Apprentissage Automatique CAP’2012 (link).
          2011
            • A. Douzal-Chouakria, L. Billard, E. Diday (2011). Principal component analysis for interval-valued observations. Statistical Analysis and Data Mining, Volume 4, Issue 2, pages 229-246. Wiley (link).
            • A. Diallo, A. Douzal-Chouakria, F. Giroud (2011). Un modèle génératif pour la comparaison de métriques en classification de profils díexpression de gènes. Cap’2011, 135-150, Edition Publibook.
            • C. Frambourg, A. Douzal-Chouakria, E. Gaussier, J. Demongeot (2011). Apprentissage de couplages pour la discrimination de séries temporelles. Cap’2011, 151-166, Edition Publibook.
            • A. Douzal-Chouakria (2011). Learning time series dissimilarities (GFKL’2011).
          2010
            • A. Douzal-Chouakria, A. Diallo, F. Giroud (2010). A random-periods model for the comparison of a metrics efficiency to classify cell-cycle expressed genes. Pattern Recognition Letters. 31, 1601-1617. Elsevier (link).
          2009
            • A. Douzal-Chouakria, A. Diallo, F. Giroud (2009). Adaptive clustering for time series: application for identifying cell cycle expressed genes. Computational Statistics and Data Analysis 53 (4), 1414-1426. Elsevier (link).
            • A. Diallo, A. Douzal-Chouakria, F. Giroud (2009). Which Distance for the Identification and the Differentiation of cell-cycle Expressed Genes?. 8th International Symposium on Intelligent Data Analysis. 273-284. Springer-Verlag.
            • A. Diallo, A. Douzal-Chouakria, F. Giroud (2009). Comparaisons et évaluation de métriques pour la classification de profils d'expression de gènes. 65-68. SFC'09. Grenoble.
            • C. Frambourg, A. Douzal-Chouakria, J. Demongeot (2009). Moran and Geary indices for multivariate time series exploratory analysis. 177-180. SFC'09. Grenoble.
          2008
            • A. Diallo, A. Douzal-Chouakria, F.Giroud (2008). Classification adaptative de séries temporelles : application à l'identification des gènes exprimés au cours du cycle cellulaire. Revue des Nouvelles Technologies de l'Information (RNTI-E-11, ECG), 487-498, Cépaduès (link).
          2007
            • A. Douzal-Chouakria, Panduranga Naidu Nagabhushan (2007). Adaptive dissimilarity index for measuring time series proximity. Advances in Data Analysis and Classification. 1, 5-21, Springer Berlin / Heidelberg. (link)
            • A. Douzal-Chouakria, A. Diallo, F. Giroud (2007). Adaptive dissimilarity index for Gene Expression Profiles Classification. In: Selected Contributions in Data Analysis and Classification, Series: Studies in Classification, Data Analysis, and Knowledge Organization, Brito, P., Bertrand, P., Cucumel, G., De Carvalho, F. (Eds.). XIII, 483-494, Springer Berlin Heidelberg, (link)
            • A. Douzal-Chouakria, N. Hammami, C. Garbay (2007). Local Factorial Analysis of Time Series. 56th Session of the ISI (International Statistical Institute), Lisboa, Portugal (link).
            • G. Rizk, A. Douzal-Chouakria, C. Amblard (2007). Temporal Decision Trees. 56th Session of the ISI (International Statistical Institute), Lisboa, Portugal (link).
            • A. Douzal-Chouakria, A. Diallo, F. Giroud (2007). Adaptive clustering for time series. International Association for Statistical Computing (IASC), Statistics for Data Mining, Learning and Knowledge Extraction, Aveiro, Portugal (link).
          2006
            • A. Douzal-Chouakria, A. Diallo and F. Giroud. (2006). Adaptive dissimilarity index for gene expression profiles classification. Integrative Post Genomics Conference. Lyon, France.
            • K. Pradeep, P. Nagabhushan, A. Douzal-Chouakria (2006). WaveSim and Adaptive Transform for subsequence Time series Clustering. IEEE 9th International Conference on Information Technology (ICIT'06), pp. 197-202. (link)
            • A. Douzal-Chouakria and P Nagabhushan (2006). Improved Fréchet Distance for Time Series. V. Batagelj, H. Bock, A. Ferligoj, A. Ziberna (eds.) Data Science and Classification, 13-20, Springer (link)
            • A. Douzal-Chouakria (2006). Réduction de la dimension de séries temporelles multidimensionnelles par extraction des tendances locales. EGC'06, Atelier Fouille de données temporelles. Lille (link).
          2005
            • A. Douzal-Chouakria (2005). On the distance measure between time series. 3rd IASC World Conference on Computational Statistics & Data Analysis. Cyprus.
          2003
            • A. Douzal-Chouakria (2003). Compression Technique Preserving Correlations of a Multivariate Temporal Sequence. In: M.R. Berthold, H-J Lenz, E. Bradley, R. Kruse, C. Borgelt (eds.) Advances in Intelligent Data Analysis, V, 566-577, Springer, ISBN: 3-540-40813-4. (link)
          2002
            • A. Douzal-Chouakria (2002). Réduction de dimension par extraction des tendances locales composant une séquence temporelle multivariée. Rapport de Recherche IMAG, RR 1053-I.
          2000
            • A. Chouakria , P. Cazes and E Diday (2000). Symbolic Principal component Analysis, in Analysis of Symbolic Data Exploratory Methods for Extracting Statistical Information from Complex Data (eds. H. Bock and E. Diday), Springer-Verlag. Berlin. p 200-212.
          1999
            • J. Demongeot, B. Beaucamps, T. Chaperon, A. Douzal-Chouakria, T. Faraut, M. Simonet & A. Simonet. Estimating joint probabilities in the context of probabilistic management of querying & integrity in a knowledge & data base. In: Conditional Independence Structures and Graphical Models, F. Matús & M. Studeny eds., Field Institute, Toronto, 21-23.
          1998

            • A. Chouakria, E. Diday, P. Cazes (1998). An Improved Factorial Representation of Symbolic Objects. KESDA'98: Knowledge Extraction from Statistical Data. Luxembourg.

            • A. Chouakria, E. Diday, P. Cazes (1998). Vertices Principal Components Analysis with an Improved Factorial Representation. In: A. Rizzi, M. Vichi, H. Bock (eds.): Advances in Data Science and Classification. pp. 397-402, Springer Verlag. ISBN: 3-540-6441-8.

            • A. Chouakria (1998). Extension de l'analyse en composantes principales à des données de type intervalle. Thèse Pais IX Dauphine.(Thèse)

          1997

            • A. Chouakria, E. Diday, P. Cazes (1997). Généralisation, en vue d'une ACM du découpage en classes d'effectifs égaux à des variables de type intervalle. ASU'97 : Association de la Statistique et de ses Utilisateurs. Carcassonne.

            • P. Cazes, A. Chouakria, E.Diday, Y. Schektman (1997). Extension de l'analyse en composantes principales à des données intervalles. Revue de statistiques appliquées, vol. XLV, no 3, pp. 5-24.

          1996

            • A. Chouakria, R. Verde, E. Diday, P. Cazes (1996). Généralisation de l'analyse factorielle des correspondances multiples à des objets symboliques. SFC'96 : Actes de la 4e rencontre de la Société Francophone de Classification. Vannes.

            • B. Leroy, A. Chouakria, I. Herlin, E. Diday (1996). Approche géométrique et classification pour la reconnaissance de visage. RFIA'96 : Reconnaissance des Formes et Intelligence Artificielle, pp. 548-557. Rennes.

          1995
            • A. Chouakria, E. Diday, P. Cazes (1995). Extension of the Principal Component Analysis to Interval Data. NTTS'95: New Techniques and Technologies for Statistics. Bonn.
            • A. Chouakria, E. Diday, P. Cazes (1995). Extension de l'analyse factorielle des correspondances multiples à des données de type intervalle et de type ensemble. SFC'95 : Actes de la 3e rencontre de la Société Francophone de Classification. Namur.