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.
Directory of Experts
Labib, Richard
Directory of Experts
Labib, Richard
Directory of Experts
Publications by date
Journal article (23)
Conference paper (7)
Book (1)
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Report (2)
Thesis (2)
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Richard Labib (35)
- 2025 (3)
Journal article Conference paper Rose, C., Pasquier, P., Nguyen, A., & Labib, R. (2025, April). 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 [Abstract]. EGU General Assembly 2025, Vienna, Austria (2 pages).
Journal article 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)
Journal article 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).Journal article 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)
Journal article 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).Journal article 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)
Journal article 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)
Journal article 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)
Journal article 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)
Journal article 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.Journal article 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)
Journal article Labib, R., & De Montigny, S. (2012). On the learning potential of the approximated quantron. International Journal of Neural Systems, 22(3).
- 2011 (2)
Conference paper De Montigny, S., & Labib, R. (2011, July). Learning Algorithms for a Specific Configuration of the Quantron [Paper]. International Joint Conference on Neural Networks (IJCNN 2011), San Jose, California.Journal article 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)
Journal article Labib, R., & Khattar, K. (2010). Mlp Bilinear Separation. Neural Computing and Applications, 19(2), 305-315.
- 2009 (2)
Journal article 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.Report Sharif Azadeh, S., Labib, R., & Savard, G. (2009). Forecasting Rail Transportation Demand Using Artificial Neural Network. (Technical Report n° G-2009-71).
- 2007 (1)
Journal article 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)
Book Labib, R., de Montigny, S., & Adadji, M. (2006). Le grand livre des lois : parcours dans le monde des probabilités.
- 2005 (1)
Journal article 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)
Journal article 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.Journal article 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.Conference paper Ratle, F., Lecarpentier, B., Labib, R., & Trochu, F. (2004, September). Multi-objective optimization of a composite material spring design using an evolutionary algorithm [Paper]. 8th International Conference on Parallel Problem Solving from Nature (PPSN 2004), Birmingham, UK.
- 2002 (1)
Journal article 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)
Journal article 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.Thesis Labib, R. (2000). Processus de diffusion : outils de modélisation, de prévision et de contrôle [Ph.D. thesis, École Polytechnique de Montréal].
- 1999 (1)
Conference paper Labib, R. (1999, July). New single neuron structure for solving nonlinear problems [Paper]. International Joint Conference on Neural Networks (IJCNN 1999), Washington, DC, USA.
- 1997 (2)
Conference paper Lefebvre, M., & Labib, R. (1997, July). Risk sensitive optimal control of wear processes: the vector case [Paper]. 18th IFIP TC7 Conference on Systems Modelling and Optimization, Boca Raton, FL, USA.Journal article 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)
Journal article Lefebvre, M., & Labib, R. (1996). Hitting lines and circles with diffusion processes. Australian Journal of Statistics, 38(2), 213-222.Report Labib, R., Lefebvre, M., Ribeiro, J., & Rousselle, J. (1996). Modèles utilisant les processus de diffusion comme outils de prévision. (Technical Report).Conference paper Lefebvre, M., & Labib, R. (1996, August). Modelling and controlling the flow of a river [Presentation]. In 16th Nordic Conference on Mathematical Statistics, Lahti, Finlande.Conference paper Lefebvre, M., & Labib, R. (1996, June). Risk sensitive optimal control of wear processes [Paper]. AMS/SIAM Seminar on Mathematics of Stochastic Manufacturing Systems, Williamsburg, VA, USA.
- 1995 (1)
Thesis Labib, R. (1995). Problèmes de premier passage pour des processus de Bessel [Master's thesis, École Polytechnique de Montréal].
