L'assemblage de programmes au sein de plateformes logicielles : Syntaxe, Sémantique et Pragmatique. Application aux plateformes dédiées aux simulations en agronomie. (The assembly of programs in software platforms: syntax, semantic, and pragmatics. Application to platforms devoted to simulations in agronomy). - Pierre Martin 001 (2009)

Support générique d'assemblage et plateforme logicielle de simulation - Une méthode pour visiter l'adéquation. - Pierre Martin 001; Pascal Clouvel; Philippe Reitz; Thérèse Libourel (INFORSID, 2012)

Navigation conceptuelle dans une base de connaissances sur l'usage des plantes en santé animale et végétale. - Priscilla Keip; Amirouche Ouzerdine; Marianne Huchard; Pierre Silvie; Pierre Martin 001 (CORIA, 2019)

Effects of Input Data Formalisation in Relational Concept Analysis for a Data Model with a Ternary Relation. - Priscilla Keip; Alain Gutierrez; Marianne Huchard; Florence Le Ber; Samira Sarter; Pierre Silvie; Pierre Martin 001 (ICFCA, 2019)

Practical Comparison of FCA Extensions to Model Indeterminate Value of Ternary Data. - Priscilla Keip; Sébastien Ferré; Alain Gutierrez; Marianne Huchard; Pierre Silvie; Pierre Martin 001 (CLA, 2020)

Combining Implications and Conceptual Analysis to Learn from a Pesticidal Plant Knowledge Base. - Lina Mahrach; Alain Gutierrez; Marianne Huchard; Priscilla Keip; Pascal Marnotte; Pierre Silvie; Pierre Martin 001 (ICCS, 2021)

Explicit versus Tacit Knowledge in Duquenne-Guigues Basis of Implications: Preliminary Results. - Johanna Saoud; Alain Gutierrez; Marianne Huchard; Pascal Marnotte; Pierre Silvie; Pierre Martin 001 (RealDataFCA@ICFCA, 2021)

KEOPS: Knowledge ExtractOr Pipeline System. - Pierre Martin 001; Thierry Helmer; Julien Rabatel; Mathieu Roche (RCIS, 2021)

Dealing with Large Volumes of Complex Relational Data Using RCA. - Agnès Braud; Xavier Dolques; Alain Gutierrez; Marianne Huchard; Priscilla Keip; Florence Le Ber; Pierre Martin 001; Cristina Nica; Pierre Silvie (Complex Data Analytics with Formal Concept Analysis, 2022)

FCA4J: A Java Library for Relational Concept Analysis and Formal Concept Analysis. - Alain Gutierrez; Marianne Huchard; Pierre Martin 001 (CLA, 2022)

RCAviz: Visualizing and Exploring Relational Conceptual Structures. - Emile Muller; Marianne Huchard; Pierre Martin 001; Pascal Poncelet; Arnaud Sallaberry (CLA, 2022)

Evaluating Formal Concept Analysis Software for Anomaly Detection and Correction. - Nassif Saab; Marianne Huchard; Pierre Martin 001 (CLA, 2022)

Relational Concept Analysis in Practice: Capitalizing on Data Modeling Using Design Patterns. - Agnès Braud; Xavier Dolques; Marianne Huchard; Florence Le Ber; Pierre Martin 001 (ICFCA, 2023)

Towards Analyzing Variability in Space and Time of Products from a Product Line using Triadic Concept Analysis. - Alexandre Bazin; Marianne Huchard; Pierre Martin 001 (SPLC (B), 2023)

FCAvizIR: Exploring Relational Data Set's Implications Using Metrics and Topics. - Lola Musslin; Alexandre Bazin; Marianne Huchard; Pierre Martin 001; Pascal Poncelet; Vincent Raveneau; Arnaud Sallaberry (CONCEPTS, 2024)

Exploring the 3-dimensional variability of websites' user-stories using triadic concept analysis. - Alexandre Bazin; Thomas Georges; Marianne Huchard; Pierre Martin 001; Chouki Tibermacine (Int. J. Approx. Reason., 2024)

RCAviz: Exploratory search in multi-relational datasets represented using relational concept analysis. - Marianne Huchard; Pierre Martin 001; Emile Muller; Pascal Poncelet; Vincent Raveneau; Arnaud Sallaberry (Int. J. Approx. Reason., 2024)

Variability-Driven User-Story Generation Using LLM and Triadic Concept Analysis. - Alexandre Bazin; Alain Gutierrez; Marianne Huchard; Pierre Martin 001; Yulin Zhang 002 (ENASE, 2025)