A 'Recruiting Neural-Gas' for Function Approximation. - Michaël Aupetit 001; Pierre Couturier; Pierre Massotte (IJCNN (3), 2000)

Induced Voronoï Kernels for Principal Manifolds Approximation. - Michaël Aupetit 001; Pierre Couturier; Pierre Massotte (WSOM, 2001)

Vector Quantization with γ-Observable Neighbors. - Michaël Aupetit 001; Pierre Couturier; Pierre Massotte (WSOM, 2001)

gamma-Observable neighbours for vector quantization. - Michaël Aupetit 001; Pierre Couturier; Pierre Massotte (Neural Networks, 2002)

High-dimensional labeled data analysis with Gabriel graphs. - Michaël Aupetit 001 (ESANN, 2003)

Robust Topology Representing Networks. - Michaël Aupetit 001 (ESANN, 2003)

Visualizing distortions in continuous projection techniques. - Michaël Aupetit 001 (ESANN, 2004)

Learning Topology with the Generative Gaussian Graph and the EM Algorithm. - Michaël Aupetit 001 (NIPS, 2005)

High-dimensional labeled data analysis with topology representing graphs. - Michaël Aupetit 001; Thibaud Catz (Neurocomputing, 2005)

Visualizing the trustworthiness of a projection. - Michaël Aupetit 001 (ESANN, 2006)

How to help seismic analysts to verify the French seismic bulletin? - David Mercier; Pierre Gaillard; Michaël Aupetit 001; Carole Maillard; Robert Quach; Jean-Denis Muller (Eng. Appl. Artif. Intell., 2006)

Apprentissage statistique de la topologie d'un ensemble de données étiquetées. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (EGC, 2007)

Visualizing distortions and recovering topology in continuous projection techniques. - Michaël Aupetit 001 (Neurocomputing, 2007)

Concerning the differentiability of the energy function in vector quantization algorithms. - Dominique Lepetz; Max Némoz-Gaillard; Michaël Aupetit 001 (Neural Networks, 2007)

Un modèle génératif pour l'Apprentissage de la Topologie. - Michaël Aupetit 001; Pierre Gaillard; Gérard Govaert (AAFD, 2008)

Homogeneous bipartition based on multidimensional ranking. - Michaël Aupetit 001 (ESANN, 2008)

Learning topology of a labeled data set with the supervised generative Gaussian graph. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Neurocomputing, 2008)

Mesurer et visualiser les distorsions dans les techniques de projection continues. - Michaël Aupetit 001; Pierre Gaillard (Rev. d'Intelligence Artif., 2008)

Nearly homogeneous multi-partitioning with a deterministic generator. - Michaël Aupetit 001 (Neurocomputing, 2009)

Le Graphe Génératif Gaussien. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Monde des Util. Anal. Données, 2009)

Mapping without visualizing local default is nonsense. - Sylvain Lespinats; Michaël Aupetit 001 (ESANN, 2010)

Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. - Axel Wismüller; Michel Verleysen; Michaël Aupetit 001; John Aldo Lee (ESANN, 2010)

Visual Analytics to Check Marine Containers in the Eritr @c Project. - Michaël Aupetit 001; Lorène Allano; Isabelle Espagnon; Guillaume Sannie (EuroVAST@EuroVis, 2010)

Un graphe génératif pour la classification semi-supervisée. - Pierre Gaillard; Michaël Aupetit 001; Gérard Govaert (Ingénierie des Systèmes d Inf., 2010)

CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. - Sylvain Lespinats; Michaël Aupetit 001 (Comput. Graph. Forum, 2011)

Approches topologiques pour l'analyse exploratoire de données et l'aide à la décision. (Topological approaches for data analytic and decision support). - Michaël Aupetit 001 (2012)

A generative model that learns Betti numbers from a data set. - Maxime Maillot; Michaël Aupetit 001; Gérard Govaert (ESANN, 2012)

A new supervised non-linear mapping - Sylvain Lespinats; Anke Meyer-Bäse; Michaël Aupetit 001 (CoRR, 2012)

Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions. - Khrystyna Kyrgyzova; Lorène Allano; Michaël Aupetit 001 (CAIP (2), 2013)

Extraction des nombres de Betti avec un modèle génératif. - Maxime Maillot; Michaël Aupetit 001; Gérard Govaert (EGC, 2013)

ProxiLens: Interactive Exploration of High-Dimensional Data using Projections. - Nicolas Heulot; Michaël Aupetit 001; Jean-Daniel Fekete (VAMP@EuroVis, 2013)

ClassiMap: a Supervised Mapping Technique for Decision Support. - Sylvain Lespinats; Michaël Aupetit 001 (VAMP@EuroVis, 2013)

Sanity check for class-coloring-based evaluation of dimension reduction techniques. - Michaël Aupetit 001 (BELIV, 2014)

A multidimensional brush for scatterplot data analytics. - Michaël Aupetit 001; Nicolas Heulot; Jean-Daniel Fekete (IEEE VAST, 2014)

Interpretability in Fuzzy Systems Optimization: A Topological Approach. - Ricardo de Aldama; Michaël Aupetit 001 (IPMU (1), 2014)

Exploratory Digraph Navigation Using A. - Fabrice Mayran de Chamisso; Laurent Soulier; Michaël Aupetit 001 (IJCAI, 2015)

Data-driven Evaluation of Visual Quality Measures. - Michael Sedlmair; Michaël Aupetit 001 (Comput. Graph. Forum, 2015)

Introduction to the special issue on visual analytics using multidimensional projections. - Michaël Aupetit 001; Laurens van der Maaten (Neurocomputing, 2015)

ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. - Sylvain Lespinats; Michaël Aupetit 001; Anke Meyer-Baese (Int. J. Pattern Recognit. Artif. Intell., 2015)

SepMe: 2002 New visual separation measures. - Michaël Aupetit 001; Michael Sedlmair (PacificVis, 2016)

A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project. - Michaël Aupetit 001; Ehsan Ullah; Reda Rawi; Halima Bensmail (PacificVis, 2016)

Visualization of actionable knowledge to mitigate DRDoS attacks. - Michaël Aupetit 001; Yury Zhauniarovich; Giorgos Vasiliadis; Marc Dacier; Yazan Boshmaf (VizSEC, 2016)

COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. - Reda Rawi; Raghvendra Mall; Khalid Kunji; Mohammed El Anbari; Michaël Aupetit 001; Ehsan Ullah; Halima Bensmail (BMC Bioinform., 2016)

Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. - Michaël Aupetit 001; Luis Fernández-Luque; Meghna Singh; Jaideep Srivastava (CBMS, 2017)

Visualizing Health Awareness in the Middle East. - Matheus Lima Diniz Araújo; Yelena Mejova; Michaël Aupetit 001; Ingmar Weber (ICWSM, 2017)

Interactive Monitoring of Critical Situational Information on Social Media. - Michaël Aupetit 001; Muhammad Imran 002 (ISCRAM, 2017)

Visualizing Dimensionality Reduction Artifacts: An Evaluation. - Nicolas Heulot; Jean-Daniel Fekete; Michaël Aupetit 001 (CoRR, 2017)

Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. - Luis Fernández-Luque; Meghna Singh; Ferda Ofli; Yelena Mejova; Ingmar Weber; Michaël Aupetit 001; Sahar Karim Jreige; Ahmed K. Elmagarmid; Jaideep Srivastava; Mohamed Ahmedna (BMC Medical Informatics Decis. Mak., 2017)

Erratum to: Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. - Luis Fernández-Luque; Meghna Singh; Ferda Ofli; Yelena Mejova; Ingmar Weber; Michaël Aupetit 001; Sahar Karim Jreige; Ahmed K. Elmagarmid; Jaideep Srivastava; Mohamed Ahmedna (BMC Medical Informatics Decis. Mak., 2017)

Visualizing Geo-Demographic Urban Data. - Matheus Araújo 001; Yelena Mejova; Michaël Aupetit 001; Ingmar Weber (CSCW Companion, 2018)

VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. - René Cutura; Stefan Holzer; Michaël Aupetit 001; Michael Sedlmair (ESANN, 2018)

A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. - Firoj Alam; Ferda Ofli; Muhammad Imran 002; Michaël Aupetit 001 (ISCRAM, 2018)

The Human User in Progressive Visual Analytics. - Luana Micallef; Hans-Jörg Schulz; Marco Angelini; Michaël Aupetit 001; Remco Chang; Jörn Kohlhammer; Adam Perer; Giuseppe Santucci (EuroVis (Short Papers), 2019)

Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics. - Michaël Aupetit 001; Michael Sedlmair; Mostafa M. Abbas; Abdelkader Baggag; Halima Bensmail (IEEE VIS (Short Papers), 2019)

KinVis: a visualization tool to detect cryptic relatedness in genetic datasets. - Ehsan Ullah; Michaël Aupetit 001; Arun Das 004; Abhishek Patil; Nooral Al Muftah; Reda Rawi; Mohamad Saad 001; Halima Bensmail (Bioinform., 2019)

ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. - Mostafa M. Abbas; Michaël Aupetit 001; Michael Sedlmair; Halima Bensmail (Comput. Graph. Forum, 2019)

Benchmark on a large cohort for sleep-wake classification with machine learning techniques. - João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Michael Rueschman; Meghna Singh; Aarti Sathyanarayana; Shahrad Taheri; Luis Fernández-Luque (npj Digit. Medicine, 2019)

Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment. - Luis Gustavo Nonato; Michaël Aupetit 001 (IEEE Trans. Vis. Comput. Graph., 2019)

Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. - René Cutura; Michaël Aupetit 001; Jean-Daniel Fekete; Michael Sedlmair (AVI, 2020)

Unsupervised User Stance Detection on Twitter. - Kareem Darwish; Peter Stefanov; Michaël J. Aupetit; Preslav Nakov (ICWSM, 2020)

Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. - Benoît Colange; Jaakko Peltonen; Michaël Aupetit 001; Denys Dutykh; Sylvain Lespinats (NeurIPS, 2020)

A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps. - Ala Abuthawabeh; Michaël Aupetit 001 (EuroVis (Short Papers), 2020)

Aquanims - Area-Preserving Animated Transitions based on a Hydraulic Metaphor. - Michaël Aupetit 001 (CoRR, 2020)

An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data. - Ali Sheharyar; Talar Boghos Yacoubian; Dina Aljogol; Borbala Mifsud; Dena Al-Thani; Michaël Aupetit 001 (CoRR, 2020)

The future of sleep health: a data-driven revolution in sleep science and medicine. - Ignacio Perez-Pozuelo; Bing Zhai; João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Juan M. Garcia-Gomez; Shahrad Taheri; Yu Guan; Luis Fernández-Luque (npj Digit. Medicine, 2020)

Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping. - Ala Abuthawabeh; Michaël Aupetit 001 (EuroVis (Short Papers), 2021)

The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO. - Talar Boghos Yacoubian; Dena Ahmed S. Al Thani; Michaël Aupetit 001 (IEEE Access, 2021)

Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor. - Michaël Aupetit 001 (CoRR, 2021)

ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. - Mostafa M. Abbas; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (CoRR, 2021)

Lifelong Exploratory Navigation: An Architecture for Safer Mobile Robots. - Fabrice Mayran de Chamisso; Daniela Cancila; Laurent Soulier; Roberto Passerone; Michaël Aupetit 001 (IEEE Des. Test, 2021)

Supervised dimensionality reduction technique accounting for soft classes. - Sorina Mustatea; Michaël Aupetit 001; Jaakko Peltonen; Sylvain Lespinats; Denys Dutykh (ESANN, 2022)

Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data. - Ala Abuthawabeh; Abdelkader Baggag; Michaël Aupetit 001 (EuroVis (Short Papers), 2022)

Distortion-Aware Brushing for Interactive Cluster Analysis in Multidimensional Projections. - Hyeon Jeon; Michaël J. Aupetit; Soohyun Lee; Hyung-Kwon Ko; Youngtaek Kim; Jinwook Seo (CoRR, 2022)

ClassSPLOM - A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data. - Michaël Aupetit 001; Ahmed Ali (CoRR, 2022)

Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures. - Hyeon Jeon; Michaël Aupetit 001; DongHwa Shin; Aeri Cho; Seokhyeon Park; Jinwook Seo (CoRR, 2022)

Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. - Hyeon Jeon; Yun-Hsin Kuo; Michaël Aupetit 001; Kwan-Liu Ma; Jinwook Seo (CoRR, 2023)

Datasets and code for ClustMe and ClustML visual quality measures of grouping patterns in monochrome scatterplots. - Mostafa M. Abbas; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (Zenodo, 2023)

ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings. - Mostafa M. Hamza; Ehsan Ullah; Abdelkader Baggag; Halima Bensmail; Michael Sedlmair; Michaël Aupetit 001 (Inf. Vis., 2024)

: Improving Label-Based Evaluation of Dimensionality Reduction. - Hyeon Jeon; Yun-Hsin Kuo; Michaël Aupetit 001; Kwan-Liu Ma; Jinwook Seo (IEEE Trans. Vis. Comput. Graph., 2024)

HCT-QA: A Benchmark for Question Answering on Human-Centric Tables. - Mohammad Shahmeer Ahmad; Zan Ahmad Naeem; Michaël Aupetit 001; Ahmed K. Elmagarmid; Mohamed Y. Eltabakh; Xiasong Ma; Mourad Ouzzani; Chaoyi Ruan (CoRR, 2025)

How Much Wearable Data is Enough for the Utility and Trust of Augmented Artificial Intelligence Systems? A Scenario-Based Interview with Medical Professionals. - Yasmin Abdelaal; Michaël Aupetit 001; Abdelkader Baggag; Mohammed Bashir; Dena Al-Thani (Int. J. Hum. Comput. Interact., 2025)

Measuring the Validity of Clustering Validation Datasets. - Hyeon Jeon; Michaël Aupetit 001; DongHwa Shin; Aeri Cho; Seokhyeon Park; Jinwook Seo (IEEE Trans. Pattern Anal. Mach. Intell., 2025)