The optimal class size for object-oriented software von El Emam, K., Benlarbi, S., Goel, N., Melo, W., Lounis, H., Rai, S.N.

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Characterization of Four Novel Epithelial Ovarian Cancer Cell Lines von D. M. Provencher, H. Lounis, L. Champoux, M. Tétrault, E. N. Manderson, Wang, J. C., P. Eydoux, Savoie, R., P. N. Tonin, A. -M. Mes-Masson

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Épaississement de la tige pituitaire, un vrai challenge diagnostique : données d’une série et revue de la littérature von Fedala, N.S., Kalafate, N., Lounis, H.

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Evaluation of learning systems : An artificial data-based approach von Lounis, H., Bisson, G.

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Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization von Assoudi, H., Lounis, H.

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Primary Cultures of Normal and Tumoral Human Ovarian Epithelium: A Powerful Tool for Basic Molecular Studies von Lounis, H., Provencher, D., Godbout, C., Fink, D., Milot, M.-J., Mes-Masson, A.-M.

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Investigating quality factors in object-oriented designs: an industrial case study von Briand, Lionel C., Wüst, Jürgen, Ikonomovski, Stefan V., Lounis, Hakim

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An investigation on the use of machine learned models for estimating correction costs von de Almeida, M.A., Lounis, H., Melo, W.L.

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Mutation analysis of the BRCA2 gene in 49 site-specific breast cancer families von Phelan, Catherine M, Lancaster, Johnathan M, Tonin, Patricia, Gumbs, Curtis, Cochran, Charles, Carter, Ron, Ghadirian, Parviz, Perret, Chantal, Moslehi, Roxana, Dion, France, Faucher, Marie-Claude, Dole, Kiran, Karimi, Sepideh, Foulkes, Willliam, Lounis, Hafida, Warner, Ellen, Goss, Paul, Anderson, David, Larsson, Catharina, Narod, Steven A, Futreal, P. Andrew

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CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES von Provencher, D. M., Lounis, H., Champoux, L., Tétrault, M., Manderson, E. N., Wang, J. C., Eydoux, P., Savoie, R., Tonin, P. N., Mes-Masson, A.-M.

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Analyzing Change Impact in Object-Oriented Systems von Abdi, M.K., Lounis, H., Sahraoui, H.

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Predicting class libraries interface evolution: an investigation into machine learning approaches von Sahraoui, H.A., Boukadoum, A.M., Lounis, H., Etheve, F.

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Machine-learning techniques for software product quality assessment von Lounis, H., Ait-Mehedine, L.

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Knowledge-based systems verification: A machine learning-based approach von Lounis, Hakim

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Toward the automatic assessment of evolvability for reusable class libraries von Sahraoui, H.A., Lounis, H., Boukadoum, M.A., Etheve, F.

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Concerned About Separation von Mili, Hafedh, Sahraoui, Houari, Lounis, Hakim, Mcheick, Hamid, Elkharraz, Amel

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Mapping of chromosome 3p deletions in human epithelial ovarian tumors von LOUNIS, H, MES-MASSON, A.-M, DION, F, BRADLEY, W. E. C, SEYMOUR, R. J, PROVENCHER, D, TONIN, P. N

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CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES von PROVENCHER, D. M, LOUNIS, H, CHAMPOUX, L, TÉTRAULT, M, MANDERSON, E. N, WANG, J. C, EYDOUX, P, SAVOIE, R, TONIN, P. N, MES-MASSON, A.-M

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Reusability hypothesis verification using machine learning techniques: a case study von Yida Mao, Sahraoui, H.A., Lounis, H.

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Applying concept formation methods to object identification in procedural code von Sahraoui, H.A., Melo, W., Lounis, H., Dumont, F.

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