Romain Bourqui

Romain Bourqui

Université de Bordeaux

H-index: 18

Europe-France

About Romain Bourqui

Romain Bourqui, With an exceptional h-index of 18 and a recent h-index of 13 (since 2020), a distinguished researcher at Université de Bordeaux, specializes in the field of information visualization, eXplanable AI graph drawing, graph clustering, biological data visualization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Overlap Removal by Stochastic Gradient Descent with (out) Shape Awareness

Computation of Pixel-Oriented Grid Layout for 2D Datasets Using VRGrid

Relative Confusion Matrix: An Efficient Visualization for the Comparison of Classification Models

State of the art of visual analytics for explainable deep learning

Guaranteed Visibility in Scatterplots with Tolerance

Compact visualization of DNN classification performances for interpretation and improvement

H²O: Heatmap by Hierarchical Occlusion

NetPrune: A sparklines visualization for network pruning

Romain Bourqui Information

University

Position

Assistant professor in computer science

Citations(all)

1254

Citations(since 2020)

481

Cited By

946

hIndex(all)

18

hIndex(since 2020)

13

i10Index(all)

28

i10Index(since 2020)

17

Email

University Profile Page

Université de Bordeaux

Google Scholar

View Google Scholar Profile

Romain Bourqui Skills & Research Interests

information visualization

eXplanable AI graph drawing

graph clustering

biological data visualization

Top articles of Romain Bourqui

Title

Journal

Author(s)

Publication Date

Overlap Removal by Stochastic Gradient Descent with (out) Shape Awareness

IEEE Transactions on Visualization and Computer Graphics

Loann Giovannangeli

Frederic Lalanne

Romain Giot

Romain Bourqui

2024/1/9

Computation of Pixel-Oriented Grid Layout for 2D Datasets Using VRGrid

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2024/4/25

Relative Confusion Matrix: An Efficient Visualization for the Comparison of Classification Models

Luc Etienne Pommé

Romain Bourqui

Romain Giot

David Auber

2024/4/25

State of the art of visual analytics for explainable deep learning

Biagio La Rosa

Graziano Blasilli

Romain Bourqui

David Auber

Giuseppe Santucci

...

2023/2

Guaranteed Visibility in Scatterplots with Tolerance

IEEE Transactions on Visualization and Computer Graphics

Loann Giovannangeli

Frederic Lalanne

Romain Giot

Romain Bourqui

2023/10/23

Compact visualization of DNN classification performances for interpretation and improvement

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2023/1/1

H²O: Heatmap by Hierarchical Occlusion

Luc-Etienne Pommé

Romain Bourqui

Romain Giot

2023/9/20

NetPrune: A sparklines visualization for network pruning

Visual Informatics

Luc-Etienne Pommé

Romain Bourqui

Romain Giot

Jason Vallet

David Auber

2023/6/1

Explainable Deep Learning AI: Methods and Challenges

Jenny Benois-Pineau

Romain Bourqui

Dragutin Petkovic

Georges Quénot

2023/2/20

VRGrid: Efficient transformation of 2d data into pixel grid layout

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2022/7/19

Multi layered feature explanation method for convolutional neural networks

Luca Bourroux

Jenny Benois-Pineau

Romain Bourqui

Romain Giot

2022/6/1

Color and shape efficiency for outlier detection from automated to user evaluation

Visual Informatics

Loann Giovannangeli

Romain Bourqui

Romain Giot

David Auber

2022/6/1

Toward Efficient Deep Learning for Graph Drawing (DL4GD)

IEEE Transactions on Visualization and Computer Graphics

Loann Giovannangeli

Frederic Lalanne

David Auber

Romain Giot

Romain Bourqui

2022/11/15

FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing

Loann Giovannangeli

Frederic Lalanne

Romain Giot

Romain Bourqui

2022/9/13

Relative confusion matrix: efficient comparison of decision models

Luc-Etienne Pommé

Romain Bourqui

Romain Giot

David Auber

2022/7/19

Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation

arXiv preprint arXiv:2103.06084

Loann Giovannangeli

Romain Giot

David Auber

Romain Bourqui

2021/3/10

Deep Neural Network for DrawiNg Networks,

Loann Giovannangeli

Frederic Lalanne

David Auber

Romain Giot

Romain Bourqui

2021

Visualizing Food-Drug Interactions in the Thériaque Database.

Frédéric Lalanne

Pierrick Bedouch

Cyril Simonnet

Vincent Depras

Georgeta Bordea

...

2021/1

Samples classification analysis across dnn layers with fractal curves

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2021

Deep Neural Network for DrawiNg Networks,(DNN) 2

arXiv preprint arXiv:2108.03632

Romain Bourqui

2021/8

See List of Professors in Romain Bourqui University(Université de Bordeaux)

Co-Authors

H-index: 30
Guy Melançon

Guy Melançon

Université de Bordeaux

H-index: 28
Daniel Archambault

Daniel Archambault

Swansea University

H-index: 28
David Auber

David Auber

Université de Bordeaux

H-index: 24
Vincent Lacroix

Vincent Lacroix

Université Claude Bernard Lyon 1

H-index: 22
Romain Giot

Romain Giot

Université de Bordeaux

H-index: 20
Fleur Mougin

Fleur Mougin

Université de Bordeaux

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