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Épaississement de la tige pituitaire, un vrai challenge diagnostique : données d’une série et revue de la littérature

Annales d'endocrinologie, 2020-09, Vol.81 (4), p.214-215

2020

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The optimal class size for object-oriented software

IEEE transactions on software engineering, 2002-05, Vol.28 (5), p.494-509

2002

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Characterization of Four Novel Epithelial Ovarian Cancer Cell Lines

In vitro cellular & developmental biology. Animal, 2000-06, Vol.36 (6), p.357-361

2000

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Evaluation of learning systems : An artificial data-based approach

Machine Learning — EWSL-91, 2005, p.463-481

2005

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Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization

2011 IEEE 13th International Symposium on High-Assurance Systems Engineering, 2011, p.188-190

2011

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Primary Cultures of Normal and Tumoral Human Ovarian Epithelium: A Powerful Tool for Basic Molecular Studies

Experimental cell research, 1994-12, Vol.215 (2), p.303-309

1994

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Investigating quality factors in object-oriented designs: an industrial case study

Proceedings / International Conference on Software Engineering, 1999, p.345-354

1999

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An investigation on the use of machine learned models for estimating correction costs

Proceedings / International Conference on Software Engineering, 1998, p.473-476

1998

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Mutation analysis of the BRCA2 gene in 49 site-specific breast cancer families

Nature genetics, 1996-05, Vol.13 (1), p.120-122

1996

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CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES

In vitro cellular & developmental biology. Animal, 2000, Vol.36 (6), p.357-361

2000

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CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES

In vitro cellular & developmental biology. Animal, 2000-06, Vol.36 (6), p.357-361

2000

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Analyzing Change Impact in Object-Oriented Systems

32nd EUROMICRO Conference on Software Engineering and Advanced Applications (EUROMICRO'06), 2006, p.310-319

2006

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Predicting class libraries interface evolution: an investigation into machine learning approaches

Proceedings Seventh Asia-Pacific Software Engeering Conference. APSEC 2000, 2000, p.456-464

2000

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Machine-learning techniques for software product quality assessment

Fourth International Conference onQuality Software, 2004. QSIC 2004. Proceedings, 2004, p.102-109

2004

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Knowledge-based systems verification: A machine learning-based approach

Expert systems with applications, 1995, Vol.8 (3), p.381-389

Lounis, Hakim

1995

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Toward the automatic assessment of evolvability for reusable class libraries

Proceedings ASE 2000. Fifteenth IEEE International Conference on Automated Software Engineering, 2000, p.289-292

2000

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Concerned About Separation

Fundamental Approaches to Software Engineering, 2006, p.247-261

2006

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Mapping of chromosome 3p deletions in human epithelial ovarian tumors

Oncogene, 1998-11, Vol.17 (18), p.2359-2365

1998

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Reusability hypothesis verification using machine learning techniques: a case study

Automated Software Engineering: Proceedings of the 13th IEEE international conference on Automated software engineering; 13-16 Oct. 1998, 1998, p.84-93

1998

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AN INVESTIGATION ON THE USE OF MACHINE LEARNED MODELS FOR ESTIMATING SOFTWARE CORRECTABILITY

International journal of software engineering and knowledge engineering, 1999-10, Vol.9 (5), p.565-593

1999

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Applying concept formation methods to object identification in procedural code

Automated Software Engineering: Proceedings of the 12th international conference on Automated software engineering (formerly: KBSE); 02-05 Nov. 1997, 1997, p.210-218

1997

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Using Efficient Machine-Learning Models to Assess Two Important Quality Factors: Maintainability and Reusability

2011 Joint Conference of the 21st International Workshop on Software Measurement and the 6th International Conference on Software Process and Product Measurement, 2011, p.170-177

2011

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Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

2009 33rd Annual IEEE International Computer Software and Applications Conference, 2009, Vol.1, p.234-239

2009

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Machine-Learning Models for Software Quality: A Compromise between Performance and Intelligibility

2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011, p.919-921

2011

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Estimating Object-Relational Database Understandability Using Structural Metrics

Database and Expert Systems Applications, 2001, Vol.2113, p.909-922

2001

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Épaississement de la tige pituitaire, un vrai challenge diagnostique : données d’une série et revue de la littérature

The optimal class size for object-oriented software

Characterization of Four Novel Epithelial Ovarian Cancer Cell Lines

Evaluation of learning systems : An artificial data-based approach

Self-Healing Data Exchange Process under Evolving Schemas: A New Mapping Adaptation Approach Based on Self-Optimization

Primary Cultures of Normal and Tumoral Human Ovarian Epithelium: A Powerful Tool for Basic Molecular Studies

Investigating quality factors in object-oriented designs: an industrial case study

An investigation on the use of machine learned models for estimating correction costs

Mutation analysis of the BRCA2 gene in 49 site-specific breast cancer families

CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES

CHARACTERIZATION OF FOUR NOVEL EPITHELIAL OVARIAN CANCER CELL LINES

Analyzing Change Impact in Object-Oriented Systems

Predicting class libraries interface evolution: an investigation into machine learning approaches

Machine-learning techniques for software product quality assessment

Knowledge-based systems verification: A machine learning-based approach

Toward the automatic assessment of evolvability for reusable class libraries

Concerned About Separation

Mapping of chromosome 3p deletions in human epithelial ovarian tumors

Reusability hypothesis verification using machine learning techniques: a case study

AN INVESTIGATION ON THE USE OF MACHINE LEARNED MODELS FOR ESTIMATING SOFTWARE CORRECTABILITY

Applying concept formation methods to object identification in procedural code

Using Efficient Machine-Learning Models to Assess Two Important Quality Factors: Maintainability and Reusability

Predicting Change Impact in Object-Oriented Applications with Bayesian Networks

Machine-Learning Models for Software Quality: A Compromise between Performance and Intelligibility

Estimating Object-Relational Database Understandability Using Structural Metrics

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