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- Romain Bourqui
University of Bordeaux 1, LABRI, France
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Publication search results
found 62 matches
- 2024
- Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
Toward Efficient Deep Learning for Graph Drawing (DL4GD). IEEE Trans. Vis. Comput. Graph. 30(2): 1516-1532 (2024) - Loann Giovannangeli, Frédéric Lalanne, Romain Giot, Romain Bourqui:
Guaranteed Visibility in Scatterplots with Tolerance. IEEE Trans. Vis. Comput. Graph. 30(1): 792-802 (2024) - 2023
- Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini:
State of the Art of Visual Analytics for eXplainable Deep Learning. Comput. Graph. Forum 42(1): 319-355 (2023) - Luc-Etienne Pommé, Romain Bourqui, Romain Giot, Jason Vallet, David Auber:
NetPrune: A sparklines visualization for network pruning. Vis. Informatics 7(2): 85-99 (2023) - Luc-Etienne Pommé, Romain Bourqui, Romain Giot:
H²O: Heatmap by Hierarchical Occlusion. CBMI 2023: 111-118 - 2022
- Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber:
Color and Shape efficiency for outlier detection from automated to user evaluation. Vis. Informatics 6(2): 25-40 (2022) - Loann Giovannangeli, Frédéric Lalanne, Romain Giot, Romain Bourqui:
FORBID: Fast Overlap Removal by Stochastic GradIent Descent for Graph Drawing. GD 2022: 61-76 - Luca Bourroux, Jenny Benois-Pineau, Romain Bourqui, Romain Giot:
Multi Layered Feature Explanation Method for Convolutional Neural Networks. ICPRAI (1) 2022: 603-614 - Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
VRGrid: Efficient Transformation of 2D Data into Pixel Grid Layout. IV 2022: 11-20 - Luc-Etienne Pommé, Romain Bourqui, Romain Giot, David Auber:
Relative Confusion Matrix: Efficient Comparison of Decision Models. IV 2022: 98-103 - Loann Giovannangeli, Frédéric Lalanne, Romain Giot, Romain Bourqui:
FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing. CoRR abs/2208.10334 (2022) - 2021
- Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
Deep Neural Network for DrawiNg Networks, $${(DNN){\textit{2}\, }} $$. GD 2021: 375-390 - Loann Giovannangeli, Romain Giot, David Auber, Jenny Benois-Pineau, Romain Bourqui:
Analysis of Deep Neural Networks Correlations with Human Subjects on a Perception Task. IV 2021: 129-136 - Frédéric Lalanne, Pierrick Bedouch, Cyril Simonnet, Vincent Depras, Georgeta Bordea, Romain Bourqui, Thierry Hamon, Frantz Thiessard, Fleur Mougin:
Visualizing Food-Drug Interactions in the Thériaque Database. MIE 2021: 253-257 - Loann Giovannangeli, Romain Giot, David Auber, Romain Bourqui:
Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation. CoRR abs/2103.06084 (2021) - Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
Deep Neural Network for DrawiNg Networks, (DNN)2. CoRR abs/2108.03632 (2021) - 2020
- Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber:
Toward automatic comparison of visualization techniques: Application to graph visualization. Vis. Informatics 4(2): 86-98 (2020) - Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
Deep Dive into Deep Neural Networks with Flows. VISIGRAPP (3: IVAPP) 2020: 231-239 - Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
Samples Classification Analysis Across DNN Layers with Fractal Curves. ICPR Workshops (3) 2020: 47-61 - Kazi Ahmed Asif Fuad, Pierre-Etienne Martin, Romain Giot, Romain Bourqui, Jenny Benois-Pineau, Akka Zemmari:
Features Understanding in 3D CNNs for Actions Recognition in Video. IPTA 2020: 1-6 - 2019
- Gaëlle Richer, Joris Sansen, Frédéric Lalanne, David Auber, Romain Bourqui:
HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints. Big Data Res. 17: 1-17 (2019) - Gaëlle Richer, Romain Bourqui, David Auber:
CorFish: Coordinating Emphasis Across Multiple Views Using Spatial Distortion. PacificVis 2019: 1-10 - Romain Bourqui, Romain Giot, David Auber:
Toward automatic comparison of visualization techniques: Application to graph visualization. CoRR abs/1910.09477 (2019) - 2018
- Gaëlle Richer, Joris Sansen, Frédéric Lalanne, David Auber, Romain Bourqui:
Enabling Hierarchical Exploration for Large-Scale Multidimensional Data with Abstract Parallel Coordinates. EDBT/ICDT Workshops 2018: 76-83 - David Auber, Daniel Archambault, Romain Bourqui, Maylis Delest, Jonathan Dubois, Antoine Lambert, Patrick Mary, Morgan Mathiaut, Guy Melançon, Bruno Pinaud, Benjamin Renoust, Jason Vallet:
Tulip 5. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- Romain Bourqui, Isabelle Dutour, Jonathan Dubois, William Benchimol, Patricia Thébault:
rNAV 2.0: a visualization tool for bacterial sRNA-mediated regulatory networks mining. BMC Bioinform. 18(1): 188:1-188:10 (2017) - Joris Sansen, Gaëlle Richer, Timothée Jourde, Frédéric Lalanne, David Auber, Romain Bourqui:
Visual Exploration of Large Multidimensional Data Using Parallel Coordinates on Big Data Infrastructure. Informatics 4(3): 21 (2017) - Aarón Ayllón-Benítez, Patricia Thébault, Jesualdo Tomás Fernández-Breis, Manuel Quesada-Martínez, Fleur Mougin, Romain Bourqui:
Deciphering Gene Sets Annotations with Ontology Based Visualization. IV 2017: 170-175 - Alexandre Perrot, Romain Bourqui, Nicolas Hanusse, David Auber:
HeatPipe: High Throughput, Low Latency Big Data Heatmap with Spark Streaming. IV 2017: 66-71 - 2016
- Romain Bourqui, Dino Ienco, Arnaud Sallaberry, Pascal Poncelet:
Multilayer graph edge bundling. PacificVis 2016: 184-188
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