A Lattice-based Query System for Assessing the Quality of Hydro-ecosystems. - Agnès Braud; Cristina Nica; Corinne Grac; Florence Le Ber (CLA, 2011)

Exploring Temporal Data Using Relational Concept Analysis: An Application to Hydroecological Data. - Cristina Nica; Agnès Braud; Xavier Dolques; Marianne Huchard; Florence Le Ber (CLA, 2016)

L'analyse relationnelle de concepts pour la fouille de données temporelles - Application à l'étude de données hydroécologiques. - Cristina Nica; Agnès Braud; Xavier Dolques; Marianne Huchard; Florence Le Ber (EGC, 2016)

Extracting Hierarchies of Closed Partially-Ordered Patterns Using Relational Concept Analysis. - Cristina Nica; Agnès Braud; Xavier Dolques; Marianne Huchard; Florence Le Ber (ICCS, 2016)

Hierarchies of Weighted Closed Partially-Ordered Patterns for Enhancing Sequential Data Analysis. - Cristina Nica; Agnès Braud; Florence Le Ber (ICFCA, 2017)

Exploring sequential data with relational concept analysis. (Exploration de données séquentielles à l'aide de l'analyse relationnelle de concepts). - Cristina Nica (2017)

Exploring Heterogeneous Sequential Data on River Networks with Relational Concept Analysis. - Cristina Nica; Agnès Braud; Florence Le Ber (ICCS, 2018)

RCA-Seq: An original approach for enhancing the analysis of sequential data based on hierarchies of multilevel closed partially-ordered patterns. - Cristina Nica; Agnès Braud; Florence Le Ber (Discret. Appl. Math., 2020)

FastRCA-Seq: An efficient approach for extracting hierarchies of multilevel closed partially-ordered patterns. - Cristina Nica; Victor-Petru Almasan; Adrian Groza (Knowl. Based Syst., 2020)

An Intelligent System to Ensure Interoperability for the Dairy Farm Business Model. - Adina Cretan; Cristina Nica; Carlos Coutinho; Ricardo Jardim-Gonçalves; Ben Bratu (Future Internet, 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)