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Article de revue (19) Communication de conférence (6) Livre (1) Chapitre de livre Brevet Rapport (1) Thèse (2)

Richard Labib (29)

  • Articles de revue (19)
    • 2019
      • Article de revue
        Hamel, É. & Labib, R. (2019). Modeling biological refractory periods and synaptic depression in an artificial neuron. Biomedical Physics & Engineering Express, 5(2), 16 pages. Tiré de https://doi.org/10.1088/2057-1976/ab00a0
      • Article de revue
        Lamontagne-Proulx, J., St-Amour, I., Labib, R., Pilon, J., Denis, H.L., Cloutier, N., Roux-Dalvai, F., Vincent, A.T., Mason, S.L., Williams-Gray, C., Duchez, A.-C., Droit, A., Lacroix, S., Dupre, N., Langlois, M., Chouinard, S., Panisset, M., Barker, R.A., Boilard, E. & Cicchetti, F. (2019). Portrait of blood-derived extracellular vesicles in patients with Parkinson's disease. Neurobiology of Disease, 124, 163-175. Tiré de https://doi.org/10.1016/j.nbd.2018.11.002
    • 2018
      • Article de revue
        Pasquier, P., Zarrella, A. & Labib, R. (2018). Application of artificial neural networks to near-instant construction of short-term g-functions. Applied Thermal Engineering, 143, 910-921. Tiré de https://doi.org/10.1016/j.applthermaleng.2018.07.137
    • 2016
      • Article de revue
        Labib, R. & Montigny, S.d. (2016). Closed-Form Evaluation of Integrals Involving the Gamma Function. Communications in Statistics - Theory and Methods, 46(17), 8328-8342. Tiré de https://doi.org/10.1080/03610926.2016.1179756
    • 2014
      • Article de revue
        Kolus, A., Dube, P.A., Imbeau, D., Labib, R. & Dubeau, D. (2014). Estimating oxygen consumption from heart rate using adaptive neuro-fuzzy inference system and analytical approaches. Applied Ergonomics, 45(6), 1475-1483. Tiré de https://doi.org/10.1016/j.apergo.2014.04.003
    • 2013
      • Article de revue
        L'Esperance, P.-Y. & Labib, R. (2013). Model of an Excitatory Synapse Based on Stochastic Processes. IEEE Transactions on Neural Networks and Learning Systems, 24(9), 1449-58. Tiré de https://doi.org/10.1109/TNNLS.2013.2260559
      • Article de revue
        Sharif Azadeh, S., Labib, R. & Savard, G. (2013). Railway demand forecasting in revenue management using neural networks. International Journal of Revenue Management, 7(1), 18-36. Tiré de https://doi.org/10.1504/IJRM.2013.053358
    • 2012
      • Article de revue
        Richard, L. & De Montigny, S. (2012). On the learning potential of the approximated quantron. International Journal of Neural Systems, 22(3). Tiré de https://doi.org/10.1142/S0129065712500104
    • 2011
      • Article de revue
        Brault, J.-M., Labib, R., Perrier, M. & Stuart, P. (2011). Prediction of activated sludge filamentous bulking using ATP data and neural networks. Canadian Journal of Chemical Engineering, 89(4), 901-913. Tiré de https://doi.org/10.1002/cjce.20442
    • 2010
    • 2009
      • Article de revue
        Connolly, J.-F. & Labib, R. (2009). A multiscale scheme for approximating the Quantron's discriminating function. IEEE Transactions on Neural Networks, 20(8), 1254-1266. Tiré de https://doi.org/10.1109/TNN.2009.2022979
    • 2007
      • Article de revue
        Labib, R. & Assadi, R. (2007). Modified Multi-Layered Perceptron Applied to Packing and Covering Problems. Neural Computing & Applications, 16(2), 173-186. Tiré de https://doi.org/10.1007/s00521-006-0064-8
    • 2005
      • Article de revue
        Labib, R., Audette, F., Fortin, A. & Assadi, R. (2005). Hardware implementation of a new artificial neuron. International Journal of Neural Systems, 15(6), 427-433. Tiré de https://doi.org/10.1142/S0129065705000402
    • 2004
      • Article de revue
        Bernier, M.A., Labib, R., Pinel, P. & Paillot, R. (2004). A Multiple load aggregation algorithm for annual hourly simulations of GCHP systems. HVAC and R Research, 10(4), 471-487. Tiré de https://doi.org/10.1080/10789669.2004.10391115
      • Article de revue
        Labib, R. (2004). Closure to "Performance of Neural Networks in Daily Streamflow Forecasting" by S. Birikundavyi, R. Labib, H. T. Trung, and J. Rousselle. Journal of Hydrologic Engineering, 9(6), 557-558. Tiré de https://doi.org/10.1061/(ASCE)1084-0699(2004)9:6(557)
    • 2002
    • 2000
      • Article de revue
        Labib, R., Lefebvre, M., Ribeiro, J., Rousselle, J. & Trung, H.T. (2000). Application of diffusion processes to runoff estimation. Journal of Hydrologic Engineering, 5(1), 1-7. Tiré de https://doi.org/10.1061/(ASCE)1084-0699(2000)5:1(1)
    • 1997
    • 1996
  • Communications de conférence (6)
    • 2011
      • Communication de conférence
        De Montigny, S. & Labib, R. (2011). Learning Algorithms for a Specific Configuration of the Quantron. Communication présentée à International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California (p. 567-572).
    • 2004
      • Communication de conférence
        Ratle, F., Lecarpentier, B., Labib, R. & Trochu, F. (2004). Multi-objective optimization of a composite material spring design using an evolutionary algorithm. Communication présentée à 8th International Conference on Parallel Problem Solving from Nature (PPSN 2004), Birmingham, UK (p. 803-811). Tiré de https://doi.org/10.1007/978-3-540-30217-9_81
    • 1999
      • Communication de conférence
        Labib, R. (1999). New single neuron structure for solving nonlinear problems. Communication présentée à International Joint Conference on Neural Networks (IJCNN 1999), Washington, DC, USA (p. 617-620).
    • 1997
      • Communication de conférence
        Lefebvre, M. & Labib, R. (1997). Risk sensitive optimal control of wear processes. Communication présentée à AMS/SIAM Seminar on Mathematics of Stochastic Manufacturing Systems, Williamsburg, VA, USA (p. 163-174).
      • Communication de conférence
        Lefebvre, M. & Labib, R. (1997). Risk sensitive optimal control of wear processes: the vector case. Communication présentée à 18th IFIP TC7 Conference on Systems Modelling and Optimization, Boca Raton, FL, USA (p. 271-279).
    • 1996
      • Communication de conférence
        Lefebvre, M. & Labib, R. (1996). Modelling and controlling the flow of a river [Présentation orale]. Présenté à 16th Nordic Conference on Mathematical Statistics, Lahti, Finlande.
  • Livres (1)
    • 2006
      • Livre
        Labib, R., de Montigny, S. & Adadji, M. (2006). Le grand livre des lois : parcours dans le monde des probabilités.
  • Rapports (1)
    • 1996
      • Rapport
        Labib, R., Lefebvre, M., Ribeiro, J. & Rousselle, J. (1996). Modèles utilisant les processus de diffusion comme outils de prévision.
  • Thèses (2)
    • 2000
    • 1995
      • Thèse
        Labib, R. (1995). Problèmes de premier passage pour des processus de Bessel (Mémoire de maîtrise, École Polytechnique de Montréal).