Loann Giovannangeli

Identifiants chercheurs

IdHAL :

loanngio

ORCID :

0000-0002-9395-6495

Publications

Article dans une revue (5)

Overlap Removal by Stochastic Gradient Descent with(out) Shape Awareness Loann Giovannangeli,Frédéric Lalanne,Romain Giot,Romain Bourqui IEEE Transactions on Visualization and Computer Graphics, 2024, pp.1-17. ⟨10.1109/TVCG.2024.3351479⟩ Article dans une revue hal-04404942v1
Guaranteed Visibility in Scatterplots with Tolerance Loann Giovannangeli,Frédéric Lalanne,Romain Giot,Romain Bourqui IEEE Transactions on Visualization and Computer Graphics, 2023, pp.1-11. ⟨10.1109/TVCG.2023.3326596⟩ Article dans une revue hal-04198637v1
Toward Efficient Deep Learning for Graph Drawing (DL4GD) Loann Giovannangeli,Frederic Lalanne,David Auber,Romain Giot,Romain Bourqui IEEE Transactions on Visualization and Computer Graphics, 2022, pp.1-16. ⟨10.1109/TVCG.2022.3222186⟩ Article dans une revue hal-03901281v1
Color and Shape efficiency for outlier detection from automated to user evaluation Loann Giovannangeli,Romain Bourqui,Romain Giot,David Auber Visual Informatics, 2022, ⟨10.1016/j.visinf.2022.03.001⟩ Article dans une revue hal-03617222v1
Toward automatic comparison of visualization techniques: Application to graph visualization Loann Giovannangeli,Romain Bourqui,Romain Giot,David Auber Visual Informatics, 2020, 4 (2), pp.86-98. ⟨10.1016/j.visinf.2020.04.002⟩ Article dans une revue hal-02899895v1

Communication dans un congrès (1)

Augmented Reality-based Data Storytelling for Citizen Participation in Urban Planning Leni Yang,Loann Giovannangeli VIS 2025 - IEEE Visualization and Visual Analytics, Nov 2025, Vienne, Austria Communication dans un congrès hal-05373009v1

Proceedings/Recueil des communications (3)

Deep Neural Network for DrawiNg Networks, (DNN) &lt;sup&gt;2&lt;/sup&gt; Loann Giovannangeli,Frédéric Lalanne,David Auber,Romain Giot,Romain Bourqui 12868, Springer International Publishing, pp.375-390, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-92931-2_27⟩ Proceedings/Recueil des communications hal-03526866v1
FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing Loann Giovannangeli,Frédéric Lalanne,Romain Giot,Romain Bourqui 13764, Springer International Publishing, pp.61-76, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-22203-0_6⟩ Proceedings/Recueil des communications hal-03774089v1
Analysis of Deep Neural Networks Correlations with Human Subjects on a Perception Task Loann Giovannangeli,Romain Giot,David Auber,Jenny Benois-Pineau,Romain Bourqui IEEE, pp.129-136, ⟨10.1109/IV53921.2021.00029⟩ Proceedings/Recueil des communications hal-03259690v1