A dimensionality reduction process to forecast events through stochastic models, The 26th International Conference on Software Engineering & Knowledge Engineering , SEKE 2014, pp.534-539, 2014. ,
A Structured Stochastic Model for Prediction of Geological Stratal Stacking Patterns, 6th Practical Applications of Stochastic Modelling (PASM'12), pp.1-15, 2012. ,
DOI : 10.1016/j.entcs.2013.07.003
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, The Annals of Mathematical Statistics, vol.41, issue.1, pp.164-171, 1970. ,
DOI : 10.1214/aoms/1177697196
Plateau, and I. Sbeity. PEPS 2007 -Stochastic Automata Networks Software Tool, International Conference on Quantitative Evaluation of Systems, pp.163-164, 2007. ,
PEPS2007 - Stochastic Automata Networks Software Tool, Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007), pp.163-164, 2007. ,
DOI : 10.1109/QEST.2007.33
The Need for and the Advantages of Generalized Tensor Algebra for Kronecker Structured Representations, International Journal of Simulation: Systems, Science & Technology (IJSIM), vol.6, pp.3-452, 2005. ,
URL : https://hal.archives-ouvertes.fr/hal-01479663
Efficient vector-descriptor product exploiting time-memory trade-offs!, ACM SIGMETRICS Performance Evaluation Review, vol.39, issue.3, pp.2-9, 2011. ,
DOI : 10.1145/2160803.2160805
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.7676
Analysis of exponential reliable production lines using Kronecker descriptors, International Journal of Production Research, vol.6, issue.3, pp.2511-2528, 2013. ,
DOI : 10.1016/S0377-2217(97)00215-4
A compositional approach to performance modelling, 1996. ,
DOI : 10.1017/CBO9780511569951
Lb-keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures, Proceedings of the 32nd international conference on Very large data bases, VLDB '06, pp.882-893, 2006. ,
Structured Markovian models for discrete spatial mobile node distribution, Journal of the Brazilian Computer Society, vol.17, pp.31-52 ,
A symbolic representation of time series, with implications for streaming algorithms, Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery , DMKD '03, pp.2-11, 2003. ,
DOI : 10.1145/882082.882086
Shuffle design to improve time series forecasting accuracy, 2009 IEEE Congress on Evolutionary Computation, pp.741-748, 2009. ,
DOI : 10.1109/CEC.2009.4983019
On the stochastic structure of parallelism and synchronization models for distributed algorithms, ACM SIGMETRICS Performance Evaluation Review, vol.13, issue.2, pp.147-154, 1985. ,
DOI : 10.1145/317786.317819
Setting Up a Stochastic Model for Teams Working in a Follow-the-Sun Environment, 2012 IEEE Seventh International Conference on Global Software Engineering, pp.179-179, 2012. ,
DOI : 10.1109/ICGSE.2012.21
Introduction to the numerical solution of Markov chains, 1994. ,
Probability, Markov Chains, Queues, and Simulation, 2009. ,
Time series forecasting using neural networks vs. Box- Jenkins methodology, SIMULATION, vol.57, issue.5, pp.303-310, 1991. ,
DOI : 10.1177/003754979105700508
Time series shapelets, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.947-956, 2009. ,
DOI : 10.1145/1557019.1557122
Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall/CRC Monographs on Statistics & Applied Probability, 2009. ,
DOI : 10.1201/9781420010893
Inovallée 655 avenue de l'Europe Montbonnot 38334 Saint Ismier Cedex Publisher Inria Domaine de Voluceau -Rocquencourt BP 105 -78153 Le Chesnay Cedex inria, pp.249-6399 ,