Michaël Aupetit

Orcid: 0000-0001-6321-5242

Affiliations:
  • Hamad Bin Khalifa University, Qatar Computing Research Institute, Doha, Qatar


According to our database1, Michaël Aupetit authored at least 77 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
: Improving Label-Based Evaluation of Dimensionality Reduction.
IEEE Trans. Vis. Comput. Graph., January, 2024

2023
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction.
CoRR, 2023

2022
Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures.
CoRR, 2022

ClassSPLOM - A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data.
CoRR, 2022

Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections.
CoRR, 2022

Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Supervised dimensionality reduction technique accounting for soft classes.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Lifelong Exploratory Navigation: An Architecture for Safer Mobile Robots.
IEEE Des. Test, 2021

ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns.
CoRR, 2021

Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor.
CoRR, 2021

The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO.
IEEE Access, 2021

Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping.
Proceedings of the 21st Eurographics Conference on Visualization, 2021

2020
The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine, 2020

An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data.
CoRR, 2020

Aquanims - Area-Preserving Animated Transitions based on a Hydraulic Metaphor.
CoRR, 2020

A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps.
Proceedings of the 22nd Eurographics Conference on Visualization, 2020

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised User Stance Detection on Twitter.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations.
Proceedings of the AVI '20: International Conference on Advanced Visual Interfaces, Island of Ischia, Italy, September 28, 2020

2019
Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment.
IEEE Trans. Vis. Comput. Graph., 2019

Benchmark on a large cohort for sleep-wake classification with machine learning techniques.
npj Digit. Medicine, 2019

ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns.
Comput. Graph. Forum, 2019

KinVis: a visualization tool to detect cryptic relatedness in genetic datasets.
Bioinform., 2019

Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics.
Proceedings of the 30th IEEE Visualization Conference, 2019

The Human User in Progressive Visual Analytics.
Proceedings of the 21st Eurographics Conference on Visualization, 2019

2018
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria.
Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management, 2018

VisCoDeR: A tool for visually comparing dimensionality reduction algorithms.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Visualizing Geo-Demographic Urban Data.
Proceedings of the Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2018

2017
Erratum to: Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar.
BMC Medical Informatics Decis. Mak., 2017

Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar.
BMC Medical Informatics Decis. Mak., 2017

Visualizing Dimensionality Reduction Artifacts: An Evaluation.
CoRR, 2017

Interactive Monitoring of Critical Situational Information on Social Media.
Proceedings of the 14th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2017

Visualizing Health Awareness in the Middle East.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator.
BMC Bioinform., 2016

Visualization of actionable knowledge to mitigate DRDoS attacks.
Proceedings of the 13th IEEE Symposium on Visualization for Cyber Security, 2016

A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project.
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

SepMe: 2002 New visual separation measures.
Proceedings of the 2016 IEEE Pacific Visualization Symposium, 2016

2015
ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data.
Int. J. Pattern Recognit. Artif. Intell., 2015

Introduction to the special issue on visual analytics using multidimensional projections.
Neurocomputing, 2015

Data-driven Evaluation of Visual Quality Measures.
Comput. Graph. Forum, 2015

Exploratory Digraph Navigation Using A.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014
Interpretability in Fuzzy Systems Optimization: A Topological Approach.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

A multidimensional brush for scatterplot data analytics.
Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Sanity check for class-coloring-based evaluation of dimension reduction techniques.
Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, 2014

2013
ClassiMap: a Supervised Mapping Technique for Decision Support.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

ProxiLens: Interactive Exploration of High-Dimensional Data using Projections.
Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

Extraction des nombres de Betti avec un modèle génératif.
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions.
Proceedings of the Computer Analysis of Images and Patterns, 2013

2012
A new supervised non-linear mapping
CoRR, 2012

A generative model that learns Betti numbers from a data set.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Approches topologiques pour l'analyse exploratoire de données et l'aide à la décision. (Topological approaches for data analytic and decision support).
, 2012

2011
CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings.
Comput. Graph. Forum, 2011

2010
Un graphe génératif pour la classification semi-supervisée.
Ingénierie des Systèmes d Inf., 2010

Visual Analytics to Check Marine Containers in the Eritr\@c Project.
Proceedings of the 1st International Symposium on Visual Analytics Science and Technology, 2010

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Mapping without visualizing local default is nonsense.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Le Graphe Génératif Gaussien.
Monde des Util. Anal. Données, 2009

Nearly homogeneous multi-partitioning with a deterministic generator.
Neurocomputing, 2009

2008
Mesurer et visualiser les distorsions dans les techniques de projection continues.
Rev. d'Intelligence Artif., 2008

Learning topology of a labeled data set with the supervised generative Gaussian graph.
Neurocomputing, 2008

Homogeneous bipartition based on multidimensional ranking.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Un modèle génératif pour l'Apprentissage de la Topologie.
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2008

2007
Concerning the differentiability of the energy function in vector quantization algorithms.
Neural Networks, 2007

Visualizing distortions and recovering topology in continuous projection techniques.
Neurocomputing, 2007

Apprentissage statistique de la topologie d'un ensemble de données étiquetées.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
How to help seismic analysts to verify the French seismic bulletin?
Eng. Appl. Artif. Intell., 2006

Visualizing the trustworthiness of a projection.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
High-dimensional labeled data analysis with topology representing graphs.
Neurocomputing, 2005

Learning Topology with the Generative Gaussian Graph and the EM Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Visualizing distortions in continuous projection techniques.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
Robust Topology Representing Networks.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

High-dimensional labeled data analysis with Gabriel graphs.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002
gamma-Observable neighbours for vector quantization.
Neural Networks, 2002

2001
Vector Quantization with γ-Observable Neighbors.
Proceedings of the Advances in Self-Organising Maps, 2001

Induced Voronoï Kernels for Principal Manifolds Approximation.
Proceedings of the Advances in Self-Organising Maps, 2001

2000
A 'Recruiting Neural-Gas' for Function Approximation.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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