Michaël Aupetit

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 39

Top Topics

Visual Analytics

Dimensionality Reduction

Top Venues

EuroVis (Short Papers)

Publications

Mostafa M. Hamza, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit
ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings. Inf. Vis. 23 (2) (2024)
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR (2023)
Ala Abuthawabeh, Abdelkader Baggag, Michaël Aupetit
Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data. EuroVis (Short Papers) (2022)
Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh
Supervised dimensionality reduction technique accounting for soft classes. ESANN (2022)
Michaël Aupetit, Ahmed Ali
ClassSPLOM - A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data. CoRR (2022)
Hyeon Jeon, Michaël Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures. CoRR (2022)
Fabrice Mayran de Chamisso, Daniela Cancila, Laurent Soulier, Roberto Passerone, Michaël Aupetit
Lifelong Exploratory Navigation: An Architecture for Safer Mobile Robots. IEEE Des. Test 38 (5) (2021)
Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit
ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. CoRR (2021)
Ala Abuthawabeh, Michaël Aupetit
Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping. EuroVis (Short Papers) (2021)
Talar Boghos Yacoubian, Dena Ahmed S. Al Thani, Michaël Aupetit
The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO. IEEE Access 9 (2021)
Michaël Aupetit
Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor. CoRR (2021)
Michaël Aupetit
Aquanims - Area-Preserving Animated Transitions based on a Hydraulic Metaphor. CoRR (2020)
Ali Sheharyar, Talar Boghos Yacoubian, Dina Aljogol, Borbala Mifsud, Dena Al-Thani, Michaël Aupetit
An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data. CoRR (2020)
René Cutura, Michaël Aupetit, Jean-Daniel Fekete, Michael Sedlmair
Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. AVI (2020)
Ala Abuthawabeh, Michaël Aupetit
A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps. EuroVis (Short Papers) (2020)
Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. NeurIPS (2020)
Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan M. Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque
The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit. Medicine 3 (2020)
João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernández-Luque
Benchmark on a large cohort for sleep-wake classification with machine learning techniques. npj Digit. Medicine 2 (2019)
Luis Gustavo Nonato, Michaël Aupetit
Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment. IEEE Trans. Vis. Comput. Graph. 25 (8) (2019)
Ehsan Ullah, Michaël Aupetit, Arun Das, Abhishek Patil, Nooral Al Muftah, Reda Rawi, Mohamad Saad, Halima Bensmail
KinVis: a visualization tool to detect cryptic relatedness in genetic datasets. Bioinform. 35 (15) (2019)
Mostafa M. Abbas, Michaël Aupetit, Michael Sedlmair, Halima Bensmail
ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. Comput. Graph. Forum 38 (3) (2019)
Luana Micallef, Hans-Jörg Schulz, Marco Angelini, Michaël Aupetit, Remco Chang, Jörn Kohlhammer, Adam Perer, Giuseppe Santucci
The Human User in Progressive Visual Analytics. EuroVis (Short Papers) (2019)
Michaël Aupetit, Michael Sedlmair, Mostafa M. Abbas, Abdelkader Baggag, Halima Bensmail
Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics. IEEE VIS (Short Papers) (2019)
Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. ISCRAM (2018)
Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. CoRR (2018)
Matheus Araújo, Yelena Mejova, Michaël Aupetit, Ingmar Weber
Visualizing Geo-Demographic Urban Data. CSCW Companion (2018)
René Cutura, Stefan Holzer, Michaël Aupetit, Michael Sedlmair
VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. ESANN (2018)
Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CoRR (2017)
Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. 17 (1) (2017)
Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava
Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CBMS (2017)
Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
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. 17 (1) (2017)
Nicolas Heulot, Jean-Daniel Fekete, Michaël Aupetit
Visualizing Dimensionality Reduction Artifacts: An Evaluation. CoRR (2017)
Michaël Aupetit, Muhammad Imran
Interactive Monitoring of Critical Situational Information on Social Media. ISCRAM (2017)
Matheus Lima Diniz Araújo, Yelena Mejova, Michaël Aupetit, Ingmar Weber
Visualizing Health Awareness in the Middle East. ICWSM (2017)
Michaël Aupetit, Ehsan Ullah, Reda Rawi, Halima Bensmail
A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project. PacificVis (2016)
Michaël Aupetit, Michael Sedlmair
SepMe: 2002 New visual separation measures. PacificVis (2016)
Michaël Aupetit, Yury Zhauniarovich, Giorgos Vasiliadis, Marc Dacier, Yazan Boshmaf
Visualization of actionable knowledge to mitigate DRDoS attacks. VizSEC (2016)
Reda Rawi, Raghvendra Mall, Khalid Kunji, Mohammed El Anbari, Michaël Aupetit, Ehsan Ullah, Halima Bensmail
COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. BMC Bioinform. 17 (2016)
Michaël Aupetit, Laurens van der Maaten
Introduction to the special issue on visual analytics using multidimensional projections. Neurocomputing 150 (2015)
Michael Sedlmair, Michaël Aupetit
Data-driven Evaluation of Visual Quality Measures. Comput. Graph. Forum 34 (3) (2015)
Fabrice Mayran de Chamisso, Laurent Soulier, Michaël Aupetit
Exploratory Digraph Navigation Using A. IJCAI (2015)
Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese
ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. Int. J. Pattern Recognit. Artif. Intell. 29 (6) (2015)
Ricardo de Aldama, Michaël Aupetit
Interpretability in Fuzzy Systems Optimization: A Topological Approach. IPMU (1) (2014)
Michaël Aupetit, Nicolas Heulot, Jean-Daniel Fekete
A multidimensional brush for scatterplot data analytics. IEEE VAST (2014)
Michaël Aupetit
Sanity check for class-coloring-based evaluation of dimension reduction techniques. BELIV (2014)
Maxime Maillot, Michaël Aupetit, Gérard Govaert
Extraction des nombres de Betti avec un modèle génératif. EGC (2013)
Sylvain Lespinats, Michaël Aupetit
ClassiMap: a Supervised Mapping Technique for Decision Support. VAMP@EuroVis (2013)
Nicolas Heulot, Michaël Aupetit, Jean-Daniel Fekete
ProxiLens: Interactive Exploration of High-Dimensional Data using Projections. VAMP@EuroVis (2013)
Khrystyna Kyrgyzova, Lorène Allano, Michaël Aupetit
Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions. CAIP (2) (2013)
Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit
A new supervised non-linear mapping CoRR (2012)
Maxime Maillot, Michaël Aupetit, Gérard Govaert
A generative model that learns Betti numbers from a data set. ESANN (2012)
Sylvain Lespinats, Michaël Aupetit
CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. Comput. Graph. Forum 30 (1) (2011)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. 15 (2) (2010)
Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN (2010)
Sylvain Lespinats, Michaël Aupetit
Mapping without visualizing local default is nonsense. ESANN (2010)
Michaël Aupetit, Lorène Allano, Isabelle Espagnon, Guillaume Sannie
Visual Analytics to Check Marine Containers in the Eritr\@c Project. EuroVAST@EuroVis (2010)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Le Graphe Génératif Gaussien. Monde des Util. Anal. Données 40 (2009)
Michaël Aupetit
Nearly homogeneous multi-partitioning with a deterministic generator. Neurocomputing 72 (7-9) (2009)
Michaël Aupetit
Homogeneous bipartition based on multidimensional ranking. ESANN (2008)
Michaël Aupetit, Pierre Gaillard, Gérard Govaert
Un modèle génératif pour l'Apprentissage de la Topologie. AAFD (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing 71 (7-9) (2008)
Michaël Aupetit, Pierre Gaillard
Mesurer et visualiser les distorsions dans les techniques de projection continues. Rev. d'Intelligence Artif. 22 (3-4) (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN (2007)
Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
Concerning the differentiability of the energy function in vector quantization algorithms. Neural Networks 20 (5) (2007)
Michaël Aupetit
Visualizing distortions and recovering topology in continuous projection techniques. Neurocomputing 70 (7-9) (2007)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC (2007)
Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
Concerning the differentiability of the energy function in vector quantization algorithms CoRR (2006)
Michaël Aupetit
Visualizing the trustworthiness of a projection. ESANN (2006)
David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller
How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. Artif. Intell. 19 (7) (2006)
Michaël Aupetit, Thibaud Catz
High-dimensional labeled data analysis with topology representing graphs. Neurocomputing 63 (2005)
Michaël Aupetit
Learning Topology with the Generative Gaussian Graph and the EM Algorithm. NIPS (2005)
Michaël Aupetit
Visualizing distortions in continuous projection techniques. ESANN (2004)
Michaël Aupetit
High-dimensional labeled data analysis with Gabriel graphs. ESANN (2003)
Michaël Aupetit
Robust Topology Representing Networks. ESANN (2003)
Michaël Aupetit, Pierre Couturier, Pierre Massotte
gamma-Observable neighbours for vector quantization. Neural Networks 15 (8-9) (2002)
Michaël Aupetit, Pierre Couturier, Pierre Massotte
Vector Quantization with γ-Observable Neighbors. WSOM (2001)
Michaël Aupetit, Pierre Couturier, Pierre Massotte
Induced Voronoï Kernels for Principal Manifolds Approximation. WSOM (2001)
Michaël Aupetit, Pierre Couturier, Pierre Massotte
A 'Recruiting Neural-Gas' for Function Approximation. IJCNN (3) (2000)