Hajlaoui, Y., Labib, R., Plante, J.-F., & Gamache, M. (2025). Backpropagation-based inference for spatial interpolation to estimate the blastability index in an open pit mine. Computers and Geosciences, 194, 15 pages.
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Labib, Richard
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Labib, Richard
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Article de revue (23)
Communication de conférence (7)
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Richard Labib (35)
- 2025 (3)
Article de revue Communication de conférence Rose, C., Pasquier, P., Nguyen, A., & Labib, R. (avril 2025). Near-instant prediction of short-term transfer functions for closed-loop boreholes in heterogeneous aquifers influenced by groundwater flow using wavelet decomposition and neural networks [Résumé]. EGU General Assembly 2025, Vienna, Austria (2 pages).
Article de revue Alpaugh, M., Rodrı́guez, J. L., Benedet, A. L., Manseau-Pérez, U., Boutin, M. E., Maiuri, M., Denis, H. L., Masnata, M., Fazal, S. V., Chouinard, S., Rosa-Neto, P., Barker, R. A., Blennow, K., Zetterberg, H., Labib, R., & Cicchetti, F. (2025). Tau levels in platelets isolated from Huntington's disease patients serve as a biomarker of disease severity. Journal of Neurology, 272(3), 11 pages.
- 2023 (2)
Article de revue 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).Article de revue Zagré, G. E., Gamache, M., Labib, R., & Shlenchak, V. (2023). Machine learning algorithms for real-time coal recognition using monitor-while-drilling data. International Journal of Mining, Reclamation and Environment, 26 pages.
- 2019 (2)
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 (1)
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 (1)
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 (1)
Article de revue Kolus, A., Dubé, 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 (2)
Article de revue L'Espérance, 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 (1)
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 (2)
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.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 (1)
Article de revue Labib, R., & Khattar, K. (2010). Mlp Bilinear Separation. Neural Computing and Applications, 19(2), 305-315.
- 2009 (2)
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.Rapport Sharif Azadeh, S., Labib, R., & Savard, G. (2009). Forecasting Rail Transportation Demand Using Artificial Neural Network. (Rapport technique n° G-2009-71).
- 2007 (1)
Article de revue Labib, R., & Assadi, R. (2007). Modified Multi-Layered Perceptron Applied to Packing and Covering Problems. Neural Computing and Applications, 16(2), 173-186.
- 2006 (1)
Livre Labib, R., de Montigny, S., & Adadji, M. (2006). Le grand livre des lois : parcours dans le monde des probabilités.
- 2005 (1)
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 (3)
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.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.
- 2002 (1)
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 (2)
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.Thèse Labib, R. (2000). Processus de diffusion : outils de modélisation, de prévision et de contrôle [Thèse de doctorat, École Polytechnique de Montréal].
- 1999 (1)
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 (2)
Communication de conférence Lefebvre, M., & Labib, R. (juillet 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.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 (4)
Article de revue Lefebvre, M., & Labib, R. (1996). Hitting lines and circles with diffusion processes. Australian Journal of Statistics, 38(2), 213-222.Rapport Labib, R., Lefebvre, M., Ribeiro, J., & Rousselle, J. (1996). Modèles utilisant les processus de diffusion comme outils de prévision. (Rapport technique).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.
- 1995 (1)
Thèse Labib, R. (1995). Problèmes de premier passage pour des processus de Bessel [Mémoire de maîtrise, École Polytechnique de Montréal].
