Skip to Main content
Number of documents

12

Statistician


Journal articles2 documents

  • Rachid Ouaret, B. Birregah, Omar Jaafor. Spatial patterns of the French rail strikes from social networks using weighted k-nearest neighbour. International Journal of Social Network Mining, 2020, 3 (1), pp.52. ⟨10.1504/IJSNM.2020.105745⟩. ⟨hal-03296912⟩
  • Rachid Ouaret, Anda Ionescu, Viorel Petrehus, Yves Candau, Olivier Ramalho. Spectral band decomposition combined with nonlinear models: application to indoor formaldehyde concentration forecasting. Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2018, ⟨10.1007/s00477-017-1510-0⟩. ⟨hal-01710202⟩

Conference papers8 documents

  • Rachid Ouaret, B. Birregah, Eddie Soulier, Samuel Auclair, Faïza Boulahya. Random Forest location prediction from social networks during disaster events.. The Sixth IEEE International Conference on Social Networks Analysis, Management and Security, Oct 2019, Granada, Spain. ⟨hal-02306003⟩
  • Samuel Auclair, Faïza Boulahya, B. Birregah, Robin Quique, Rachid Ouaret, et al.. SURICATE-Nat: Innovative citizen centered platform for Twitter based natural disaster monitoring. 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Dec 2019, Paris, France. pp.1-8, ⟨10.1109/ICT-DM47966.2019.9032950⟩. ⟨hal-02514832⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Yves Candau. Indoor air pollutant sources using blind source separation methods. 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., Apr 2017, Bruges, Belgium. ⟨hal-01721960⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Yves Candau, Viorel Petrehus, et al.. Modelling the time fluctuation of indoor air formaldehyde concentrations: variability structure identification and forecasting using non linear models. Indoor Air 2014, Jul 2014, Hong Kong, China. pp.321-328. ⟨hal-01064345⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Viorel Petrehus, Yves Candau. Caractérisation et identification de la variabilité temporelle des sources de particules dans un environnement intérieur : approche statistique. 29ème Congrès Français sur les Aérosols, Jan 2014, Paris, France. 6 p. ⟨hal-01064389⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Viorel Petrehus, Yves Candau. Forecasting indoor pollutants concentrations using Fast Fourier Transform (FFT) and Regime Switching Models. International work-conference on Time-Series analysis, Jun 2014, Granada, Spain. pp.52-63. ⟨hal-01064367⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Viorel Petrehus, Yves Candau. Identification des sources de variabilité des niveaux de polluants par analyse en composantes indépendantes et par estimation de mélange des données de l'air intérieur. Journées Interdisciplinaires de la Qualité de l'Air, Feb 2014, Villeneuve d'Ascq, France. 18 p. ⟨hal-01064376⟩
  • Rachid Ouaret, Anda Ionescu, Olivier Ramalho, Yves Candau, Evelyne Gehin, et al.. Analysis of the temporal variability of indoor particulate matter concentrations using Blind Source Separation methods: a comparative study. International Aerosol Conference, Aug 2014, Busan, South Korea. pp.1. ⟨hal-01064403⟩

Poster communications1 document

  • Rachid Ouaret, Anda Ionescu, Viorel Petrehus, Yves Candau, Olivier Ramalho. Particulate matter variability sources in an open-plan office: comparison of two monitoring campaigns. 22nd European Aerosol Conference, Sep 2016, Tours, France. ⟨hal-02306025⟩

Preprints, Working Papers, ...1 document

  • Rachid Ouaret, Pascal Floquet, Jean-Pierre Belaud, Stéphane Négny. Interval-Valued Data Learning for Robustness of Energy Recovery Systems. 2020. ⟨hal-03045777⟩