Toward automatic comparison of visualization techniques: Application to graph visualization. - Loann Giovannangeli; Romain Bourqui; Romain Giot; David Auber (Vis. Informatics, 2020)

Deep Neural Network for DrawiNg Networks, $${(DNN)^{ textit{2} , }} $$. - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (GD, 2021)

Analysis of Deep Neural Networks Correlations with Human Subjects on a Perception Task. - Loann Giovannangeli; Romain Giot; David Auber; Jenny Benois-Pineau; Romain Bourqui (IV, 2021)

Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation. - Loann Giovannangeli; Romain Giot; David Auber; Romain Bourqui (CoRR, 2021)

Deep Neural Network for DrawiNg Networks, (DNN)2. - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (CoRR, 2021)

FORBID: Fast Overlap Removal by Stochastic GradIent Descent for Graph Drawing. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (GD, 2022)

Color and Shape efficiency for outlier detection from automated to user evaluation. - Loann Giovannangeli; Romain Bourqui; Romain Giot; David Auber (Vis. Informatics, 2022)

Génération et Évaluation de Visualisations avec des techniques d'Apprentissage Automatique. (Generation and Evaluation of Visualizations with Machine Learning Techniques). - Loann Giovannangeli (2023)

Guaranteed Visibility in Scatterplots with Tolerance. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)

Toward Efficient Deep Learning for Graph Drawing (DL4GD). - Loann Giovannangeli; Frédéric Lalanne; David Auber; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)

Overlap Removal by Stochastic Gradient Descent With(out) Shape Awareness. - Loann Giovannangeli; Frédéric Lalanne; Romain Giot; Romain Bourqui (IEEE Trans. Vis. Comput. Graph., 2024)