David Auber

About David Auber

David Auber, With an exceptional h-index of 28 and a recent h-index of 16 (since 2020), a distinguished researcher at Université de Bordeaux, specializes in the field of Information Visualization, Graph Drawing, Graph Clustering, Big Data.

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

Interactive Big Data Visualization and Analytics

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

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

Compact visualization of DNN classification performances for interpretation and improvement

Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta

Faster Edge‐Path Bundling through Graph Spanners

NetPrune: A sparklines visualization for network pruning

State of the art of visual analytics for explainable deep learning

David Auber Information

University

Position

Professor LaBRI -

Citations(all)

3557

Citations(since 2020)

830

Cited By

3011

hIndex(all)

28

hIndex(since 2020)

16

i10Index(all)

54

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

David Auber Skills & Research Interests

Information Visualization

Graph Drawing

Graph Clustering

Big Data

Top articles of David Auber

Title

Journal

Author(s)

Publication Date

Interactive Big Data Visualization and Analytics

David Auber

Nikos Bikakis

Panos K Chrysanthis

George Papastefanatos

Mohamed Sharaf

2024/2/14

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

Compact visualization of DNN classification performances for interpretation and improvement

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2023/1/1

Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta

Journal of Cheminformatics

Etienne Lehembre

Johanna Giovannini

Damien Geslin

Alban Lepailleur

Jean-Luc Lamotte

...

2023/11/29

Faster Edge‐Path Bundling through Graph Spanners

Computer Graphics Forum

Markus Wallinger

Daniel Archambault

David Auber

Martin Nöllenburg

Jaakko Peltonen

2023/9

NetPrune: A sparklines visualization for network pruning

Visual Informatics

Luc-Etienne Pommé

Romain Bourqui

Romain Giot

Jason Vallet

David Auber

2023/6/1

State of the art of visual analytics for explainable deep learning

Biagio La Rosa

Graziano Blasilli

Romain Bourqui

David Auber

Giuseppe Santucci

...

2023/2

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

Relative confusion matrix: efficient comparison of decision models

Luc-Etienne Pommé

Romain Bourqui

Romain Giot

David Auber

2022/7/19

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

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2022/7/19

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

Edge-path bundling: A less ambiguous edge bundling approach

IEEE Transactions on Visualization and Computer Graphics

Markus Wallinger

Daniel Archambault

David Auber

Martin Nöllenburg

Jaakko Peltonen

2021/9/29

Deep Neural Network for DrawiNg Networks,

Loann Giovannangeli

Frederic Lalanne

David Auber

Romain Giot

Romain Bourqui

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

2021/7/5

Samples classification analysis across dnn layers with fractal curves

Adrien Halnaut

Romain Giot

Romain Bourqui

David Auber

2021

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

Graph Drawing and Network Visualization: 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16–18, 2020, Revised Selected Papers

David Auber

Pavel Valtr

2021/2/13

Graph Drawing and Network Visualization GD2020

arXiv preprint arXiv:2101.00449

David Auber

Pavel Valtr

2021/1/2

Toward automatic comparison of visualization techniques: Application to graph visualization

Visual Informatics

Loann Giovannangeli

Romain Bourqui

Romain Giot

David Auber

2020/6/1

See List of Professors in David Auber University(Université de Bordeaux)

Co-Authors

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