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Ahlame Douzal Chouakria
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- affiliation: IMAG, Grenoble, France
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2020 – today
- 2023
- [j13]Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi
:
Exploring Dynamic Structures in Matrix-Valued Time Series via Principal Component Analysis. Axioms 12(6): 570 (2023) - 2020
- [j12]Thi Phuong Thao Tran, Ahlame Douzal Chouakria, Saeed Varasteh Yazdi, Paul Honeine
Interpretable time series kernel analytics by pre-image estimation. Artif. Intell. 286: 103342 (2020)
2010 – 2019
- 2019
- [j11]Jidong Yuan
A large margin time series nearest neighbour classification under locally weighted time warps. Knowl. Inf. Syst. 59(1): 117-135 (2019) - 2018
- [j10]Son T. Mai, Sihem Amer-Yahia, Sébastien Bailly, Jean Louis Pépin, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen:
Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis. Data Sci. Eng. 3(4): 359-378 (2018) - [j9]Saeed Varasteh Yazdi
Time warp invariant kSVD: Sparse coding and dictionary learning for time series under time warp. Pattern Recognit. Lett. 112: 1-8 (2018) - [c17]Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen:
Scalable Active Constrained Clustering for Temporal Data. DASFAA (1) 2018: 566-582 - [c16]Son T. Mai, Sihem Amer-Yahia, Ahlame Douzal Chouakria:
Scalable Active Temporal Constrained Clustering. EDBT 2018: 449-452 - [c15]Saeed Varasteh Yazdi, Ahlame Douzal Chouakria, Patrick Gallinari, Manuel Moussallam:
Time Warp Invariant Dictionary Learning for Time Series Clustering: Application to Music Data Stream Analysis. ECML/PKDD (1) 2018: 356-372 - [r1]Sihem Amer-Yahia, Themis Palpanas, Mikalai Tsytsarau, Sofia Kleisarchaki, Ahlame Douzal, Vassilis Christophides:
Temporal Analytics in Social Media. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j8]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié
Multi-modal and multi-scale temporal metric learning for a robust time series nearest neighbors classification. Inf. Sci. 418: 272-285 (2017) - 2016
- [j7]François Kawala, Éric Gaussier, Ahlame Douzal Chouakria, Eustache Diemert:
A study of different keyword activity prediction problems in social media. Int. J. Soc. Netw. Min. 2(3): 224-255 (2016) - [j6]Saeid Soheily-Khah
Generalized k-means-based clustering for temporal data under weighted and kernel time warp. Pattern Recognit. Lett. 75: 63-69 (2016) - [e2]Ahlame Douzal Chouakria, José A. Vilar Fernández, Pierre-François Marteau:
Advanced Analysis and Learning on Temporal Data - First ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9785, Springer 2016, ISBN 978-3-319-44411-6 [contents] - [i1]Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Vassilis Christophides:
Querying Temporal Drifts at Multiple Granularities (Technical Report). CoRR abs/1605.02772 (2016) - 2015
- [c14]Sofia Kleisarchaki, Sihem Amer-Yahia, Ahlame Douzal Chouakria, Vassilis Christophides:
Querying Temporal Drifts at Multiple Granularities. CIKM 2015: 1531-1540 - [c13]Seyed Hamid Mirisaee, Ahlame Douzal, Alexandre Termier:
Selecting representative instances from datasets. DSAA 2015: 1-10 - [c12]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié
Multiple metric learning for large margin kNN classification of time series. EUSIPCO 2015: 2346-2350 - [c11]Lynne Billard, Ahlame Douzal Chouakria, Seyed Yaser Samadi:
An Exploratory Analysis of Multiple Multivariate Time Series. AALTD@PKDD/ECML 2015 - [c10]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié, Michèle Rombaut:
Temporal and Frequential Metric Learning for Time Series kNN Classification. AALTD@PKDD/ECML 2015 - [c9]Cao-Tri Do, Ahlame Douzal Chouakria, Sylvain Marié
A Multi-modal Metric Learning Framework for Time Series kNN Classification. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 131-143 - [c8]Saeid Soheily-Khah, Ahlame Douzal Chouakria, Éric Gaussier:
Progressive and Iterative Approaches for Time Series Averaging. AALTD@PKDD/ECML 2015 - [c7]Saeid Soheily-Khah
A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 144-156 - [e1]Ahlame Douzal Chouakria, José A. Vilar Fernández, Pierre-François Marteau, Elizabeth Ann Maharaj, Andrés M. Alonso Fernández, Edoardo Otranto, Maria-Irina Nicolae:
Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2015, co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11, 2015. CEUR Workshop Proceedings 1425, CEUR-WS.org 2015 [contents] - 2014
- [c6]François Kawala, Éric Gaussier, Ahlame Douzal, Eustache Diemert:
Apprentissage d'ordonnancement et influence de l'ambiguïté pour la prédiction d'activité sur les réseaux sociaux. CORIA-CIFED 2014: 337-351 - 2013
- [c5]Cedric Frambourg, Ahlame Douzal Chouakria, Éric Gaussier:
Learning Multiple Temporal Matching for Time Series Classification. IDA 2013: 198-209 - [d2]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Buzz in social media. UCI Machine Learning Repository, 2013 - [d1]François Kawala, Ahlame Douzal, Éric Gaussier, Eustache Diemert:
Predict keywords activities in a online social media. UCI Machine Learning Repository, 2013 - 2012
- [b2]Ahlame Douzal Chouakria:
Contribution à l'analyse de données temporelles. (Temporal Data Analysis). Joseph Fourier University, Grenoble, France, 2012 - [j5]Ahlame Douzal Chouakria, Cécile Amblard:
Classification trees for time series. Pattern Recognit. 45(3): 1076-1091 (2012) - 2011
- [j4]Ahlame Douzal Chouakria, Lynne Billard, Edwin Diday:
Principal component analysis for interval-valued observations. Stat. Anal. Data Min. 4(2): 229-246 (2011) - 2010
- [j3]Ahlame Douzal Chouakria, Alpha Diallo, Françoise Giroud:
A random-periods model for the comparison of a metrics efficiency to classify cell-cycle expressed genes. Pattern Recognit. Lett. 31(12): 1608-1617 (2010)
2000 – 2009
- 2009
- [j2]Ahlame Douzal Chouakria, Alpha Diallo, Françoise Giroud:
Adaptive clustering for time series: Application for identifying cell cycle expressed genes. Comput. Stat. Data Anal. 53(4): 1414-1426 (2009) - [c4]Alpha Diallo, Ahlame Douzal Chouakria, Françoise Giroud:
Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes?. IDA 2009: 273-284 - 2008
- [c3]Alpha Diallo, Ahlame Douzal, Françoise Giroud:
Classification adaptative de séries temporelles : application à l'identification des gènes exprimés au cours du cycle cellulaire. EGC 2008: 487-498 - 2007
- [j1]Ahlame Douzal Chouakria, Panduranga Naidu Nagabhushan:
Adaptive dissimilarity index for measuring time series proximity. Adv. Data Anal. Classif. 1(1): 5-21 (2007) - 2006
- [c2]R. Pradeep Kumar, P. Nagabhushan, Ahlame Douzal Chouakria:
WaveSim and Adaptive WaveSim Transform for Subsequence Time-Series Clustering. ICIT 2006: 197-202 - [p1]Ahlame Douzal Chouakria, Panduranga Naidu Nagabhushan:
Improved Fréchet Distance for Time Series. Data Science and Classification 2006: 13-20 - 2003
- [c1]Ahlame Douzal Chouakria:
Compression Technique Preserving Correlations of a Multivariate Temporal Sequence. IDA 2003: 566-577
1990 – 1999
- 1998
- [b1]Ahlame Douzal Chouakria:
Extension des méthodes d'analyse factorielles à des données de type intervalle. (Extension of factorial analysis methods to interval-valued data). Paris Dauphine University, France, 1998
Coauthor Index
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