Denis, H. L., Alpaugh, M., Alvarez, C. P., Fenyi, A., Barker, R. A., Chouinard, S., Arrowsmith, C. H., Melki, R., Labib, R., Harding, R. J., & Cicchetti, F. (2023). Detection of antibodies against the huntingtin protein in human plasma. Cellular and Molecular Life Sciences, 80(2), 45 (11 pages).
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Labib, Richard
Répertoire des expertises
Labib, Richard
Répertoire des expertises
Publications par type
Article de revue (20)
Communication de conférence (6)
Livre (1)
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Rapport (1)
Thèse (2)
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Richard Labib (30)
- Articles de revue (20)
- 2023
Article de revue
- 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), 025038 (16 pages).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.
- 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.
- 2016
Article de revue Labib, R., & Montigny, S. (2016). Closed-Form Evaluation of Integrals Involving the Gamma Function. Communications in Statistics - Theory and Methods, 46(17), 8328-8342.
- 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.
- 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.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.
- 2012
Article de revue Labib, R., & De Montigny, S. (2012). On the learning potential of the approximated quantron. International Journal of Neural Systems, 22(3).
- 2011
Article de revue Brault, J.-M., Labib, R., Perrier, M., & Stuart, P. R. (2011). Prediction of activated sludge filamentous bulking using ATP data and neural networks. Canadian Journal of Chemical Engineering, 89(4), 901-913.
- 2010
Article de revue Labib, R., & Khattar, K. (2010). Mlp Bilinear Separation. Neural Computing & Applications, 19(2), 305-315.
- 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.
- 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.
- 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.
- 2004
Article de revue Bernier, M., 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.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.
- 2002
Article de revue Birikundavyi, S., Labib, R., Trung, H. T., & Rousselle, J. (2002). Performance of Neural Networks in Daily Streamflow Forecasting. Journal of Hydrologic Engineering, 7(5), 392-398.
- 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.
- 1997
Article de revue Lefebvre, M., & Labib, R. (1997). Temps d'atteinte de cercles pour des processus de Bessel bidimensionnels. Annales des sciences mathématiques du Québec, 21(2), 123-131.
- 1996
Article de revue Lefebvre, M., & Labib, R. (1996). Hitting lines and circles with diffusion processes. Australian Journal of Statistics, 38(2), 213-222.
- 2023
- Communications de conférence (6)
- 2011
Communication de conférence De Montigny, S., & Labib, R. (juillet 2011). Learning Algorithms for a Specific Configuration of the Quantron [Communication écrite]. International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California.
- 2004
Communication de conférence Ratle, F., Lecarpentier, B., Labib, R., & Trochu, F. (septembre 2004). Multi-objective optimization of a composite material spring design using an evolutionary algorithm [Communication écrite]. 8th International Conference on Parallel Problem Solving from Nature (PPSN 2004), Birmingham, UK.
- 1999
Communication de conférence Labib, R. (juillet 1999). New single neuron structure for solving nonlinear problems [Communication écrite]. International Joint Conference on Neural Networks (IJCNN 1999), Washington, DC, USA.
- 1997
Communication de conférence Lefebvre, M., & Labib, R. (janvier 1997). Risk sensitive optimal control of wear processes: the vector case [Communication écrite]. 18th IFIP TC7 Conference on Systems Modelling and Optimization, Boca Raton, FL, USA.
- 1996
Communication de conférence Lefebvre, M., & Labib, R. (août 1996). Modelling and controlling the flow of a river [Présentation]. Dans 16th Nordic Conference on Mathematical Statistics, Lahti, Finlande.Communication de conférence Lefebvre, M., & Labib, R. (juin 1996). Risk sensitive optimal control of wear processes [Communication écrite]. AMS/SIAM Seminar on Mathematics of Stochastic Manufacturing Systems, Williamsburg, VA, USA.
- 2011
- Livres (1)
- 2006
Livre Labib, R., de Montigny, S., & Adadji, M. (2006). Le grand livre des lois : parcours dans le monde des probabilités.
- 2006
- Rapports (1)
- 1996
Rapport Labib, R., Lefebvre, M., Ribeiro, J., & Rousselle, J. (1996). Modèles utilisant les processus de diffusion comme outils de prévision. (Rapport technique).
- 1996
- Thèses (2)
- 2000
Thèse Labib, R. (2000). Processus de diffusion : outils de modélisation, de prévision et de contrôle [Thèse de doctorat, École Polytechnique de Montréal].
- 1995
Thèse Labib, R. (1995). Problèmes de premier passage pour des processus de Bessel [Mémoire de maîtrise, École Polytechnique de Montréal].
- 2000
