Michaël Aupetit

86 papers A* 2A 1B 15C 1Journal 43Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections. IEEE Trans. Vis. Comput. Graph. Hyeon Jeon, Michaël Aupetit, Soohyun Lee, Kwon Ko, Youngtaek Kim, Ghulam Jilani Quadri, Jinwook Seo
2025	J	`jnl`	HCT-QA: A Benchmark for Question Answering on Human-Centric Tables. CoRR Mohammad Shahmeer Ahmad, Zan Ahmad Naeem, Michaël Aupetit, Ahmed K. Elmagarmid, Mohamed Y. Eltabakh, Xiaosong Ma, Mourad Ouzzani, Chaoyi Ruan
2025	J	`jnl`	How Much Wearable Data is Enough for the Utility and Trust of Augmented Artificial Intelligence Systems? A Scenario-Based Interview with Medical Professionals. Int. J. Hum. Comput. Interact. Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Mohammed Bashir, Dena Al-Thani
2025	J	`jnl`	Measuring the Validity of Clustering Validation Datasets. CoRR Hyeon Jeon, Michaël Aupetit, Donghwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
2025	J	`jnl`	Measuring the Validity of Clustering Validation Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Hyeon Jeon, Michaël Aupetit, Donghwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
2024	J	`jnl`	: Improving Label-Based Evaluation of Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
2024	J	`jnl`	ClustML: A measure of cluster pattern complexity in scatterplots learnt from human-labeled groupings. Inf. Vis. Mostafa M. Hamza, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit
2023	J	`jnl`	Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. CoRR Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo
2022	—	`conf`	Augmented Intelligence with Interactive Voronoi Treemap for Scalable Grouping: a Usage Scenario with Wearable Data. EuroVis (Short Papers) Ala Abuthawabeh, Abdelkader Baggag, Michaël Aupetit
2022	J	`jnl`	ClassSPLOM - A Scatterplot Matrix to Visualize Separation of Multiclass Multidimensional Data. CoRR Michaël Aupetit, Ahmed Ali
2022	J	`jnl`	Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures. CoRR Hyeon Jeon, Michaël Aupetit, Donghwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
2022	B	`conf`	Supervised dimensionality reduction technique accounting for soft classes. ESANN Sorina Mustatea, Michaël Aupetit, Jaakko Peltonen, Sylvain Lespinats, Denys Dutykh
2021	J	`jnl`	Aquanims: Area-Preserving Animated Transitions in Statistical Data Graphics based on a Hydraulic Metaphor. CoRR Michaël Aupetit
2021	J	`jnl`	ClustRank: a Visual Quality Measure Trained on Perceptual Data for Sorting Scatterplots by Cluster Patterns. CoRR Mostafa M. Abbas, Ehsan Ullah, Abdelkader Baggag, Halima Bensmail, Michael Sedlmair, Michaël Aupetit
2021	J	`jnl`	Lifelong Exploratory Navigation: An Architecture for Safer Mobile Robots. IEEE Des. Test Fabrice Mayran de Chamisso, Daniela Cancila, Laurent Soulier, Roberto Passerone, Michaël Aupetit
2021	J	`jnl`	The Role of a Facilitator in Co-Design Applications for Exploratory Analysis in Domains of High Complexity: The Case of MAHiCGO. IEEE Access Talar Boghos Yacoubian, Dena Ahmed S. Al Thani, Michaël Aupetit
2021	—	`conf`	Toward an Interactive Voronoi Treemap for Manual Arrangement and Grouping. EuroVis (Short Papers) Ala Abuthawabeh, Michaël Aupetit
2020	—	`conf`	A Force-Directed Power Diagram Approach for Interactive Voronoi Treemaps. EuroVis (Short Papers) Ala Abuthawabeh, Michaël Aupetit
2020	J	`jnl`	An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data. CoRR Ali Sheharyar, Talar Boghos Yacoubian, Dina Aljogol, Borbala Mifsud, Dena Al-Thani, Michaël Aupetit
2020	J	`jnl`	Aquanims - Area-Preserving Animated Transitions based on a Hydraulic Metaphor. CoRR Michaël Aupetit
2020	B	`conf`	Comparing and Exploring High-Dimensional Data with Dimensionality Reduction Algorithms and Matrix Visualizations. AVI René Cutura, Michaël Aupetit, Jean-Daniel Fekete, Michael Sedlmair
2020	A*	`conf`	Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction. NeurIPS Benoît Colange, Jaakko Peltonen, Michaël Aupetit, Denys Dutykh, Sylvain Lespinats
2020	J	`jnl`	The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit. Medicine Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan Miguel García-Gómez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque
2019	J	`jnl`	Benchmark on a large cohort for sleep-wake classification with machine learning techniques. npj Digit. Medicine João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Michael Rueschman, Meghna Singh, Aarti Sathyanarayana, Shahrad Taheri, Luis Fernández-Luque
2019	J	`jnl`	ClustMe: A Visual Quality Measure for Ranking Monochrome Scatterplots based on Cluster Patterns. Comput. Graph. Forum Mostafa M. Abbas, Michaël Aupetit, Michael Sedlmair, Halima Bensmail
2019	J	`jnl`	KinVis: a visualization tool to detect cryptic relatedness in genetic datasets. Bioinform. Ehsan Ullah, Michaël Aupetit, Arun Das, Abhishek Patil, Nooral Al Muftah, Reda Rawi, Mohamad Saad, Halima Bensmail
2019	J	`jnl`	Multidimensional Projection for Visual Analytics: Linking Techniques with Distortions, Tasks, and Layout Enrichment. IEEE Trans. Vis. Comput. Graph. Luis Gustavo Nonato, Michaël Aupetit
2019	—	`conf`	The Human User in Progressive Visual Analytics. EuroVis (Short Papers) Luana Micallef, Hans-Jörg Schulz, Marco Angelini, Michaël Aupetit, Remco Chang, Jörn Kohlhammer, Adam Perer, Giuseppe Santucci
2019	—	`conf`	Toward Perception-Based Evaluation of Clustering Techniques for Visual Analytics. IEEE VIS (Short Papers) Michaël Aupetit, Michael Sedlmair, Mostafa M. Abbas, Abdelkader Baggag, Halima Bensmail
2018	—	`conf`	A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. ISCRAM Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
2018	J	`jnl`	A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. CoRR Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit
2018	B	`conf`	VisCoDeR: A tool for visually comparing dimensionality reduction algorithms. ESANN René Cutura, Stefan Holzer, Michaël Aupetit, Michael Sedlmair
2018	—	`conf`	Visualizing Geo-Demographic Urban Data. CSCW Companion Matheus Araújo, Yelena Mejova, Michaël Aupetit, Ingmar Weber
2017	J	`jnl`	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. Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
2017	J	`jnl`	Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Medical Informatics Decis. Mak. Luis Fernández-Luque, Meghna Singh, Ferda Ofli, Yelena Mejova, Ingmar Weber, Michaël Aupetit, Sahar Karim Jreige, Ahmed K. Elmagarmid, Jaideep Srivastava, Mohamed Ahmedna
2017	—	`conf`	Interactive Monitoring of Critical Situational Information on Social Media. ISCRAM Michaël Aupetit, Muhammad Imran
2017	B	`conf`	Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CBMS Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava
2017	J	`jnl`	Visualization of Wearable Data and Biometrics for Analysis and Recommendations in Childhood Obesity. CoRR Michaël Aupetit, Luis Fernández-Luque, Meghna Singh, Jaideep Srivastava
2017	J	`jnl`	Visualizing Dimensionality Reduction Artifacts: An Evaluation. CoRR Nicolas Heulot, Jean-Daniel Fekete, Michaël Aupetit
2017	A	`conf`	Visualizing Health Awareness in the Middle East. ICWSM Matheus Lima Diniz Araújo, Yelena Mejova, Michaël Aupetit, Ingmar Weber
2016	B	`conf`	A design study to identify inconsistencies in kinship information: The case of the 1000 Genomes project. PacificVis Michaël Aupetit, Ehsan Ullah, Reda Rawi, Halima Bensmail
2016	J	`jnl`	COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. BMC Bioinform. Reda Rawi, Raghvendra Mall, Khalid Kunji, Mohammed El Anbari, Michaël Aupetit, Ehsan Ullah, Halima Bensmail
2016	B	`conf`	SepMe: 2002 New visual separation measures. PacificVis Michaël Aupetit, Michael Sedlmair
2016	C	`conf`	Visualization of actionable knowledge to mitigate DRDoS attacks. VizSEC Michaël Aupetit, Yury Zhauniarovich, Giorgos Vasiliadis, Marc Dacier, Yazan Boshmaf
2015	J	`jnl`	ClassiMap: A New Dimension Reduction Technique for Exploratory Data Analysis of Labeled Data. Int. J. Pattern Recognit. Artif. Intell. Sylvain Lespinats, Michaël Aupetit, Anke Meyer-Baese
2015	J	`jnl`	Data-driven Evaluation of Visual Quality Measures. Comput. Graph. Forum Michael Sedlmair, Michaël Aupetit
2015	A*	`conf`	Exploratory Digraph Navigation Using A. IJCAI Fabrice Mayran de Chamisso, Laurent Soulier, Michaël Aupetit
2015	J	`jnl`	Introduction to the special issue on visual analytics using multidimensional projections. Neurocomputing Michaël Aupetit, Laurens van der Maaten
2014	—	`conf`	A multidimensional brush for scatterplot data analytics. IEEE VAST Michaël Aupetit, Nicolas Heulot, Jean-Daniel Fekete
2014	—	`conf`	Interpretability in Fuzzy Systems Optimization: A Topological Approach. IPMU (1) Ricardo de Aldama, Michaël Aupetit
2014	—	`conf`	Sanity check for class-coloring-based evaluation of dimension reduction techniques. BELIV Michaël Aupetit
2013	—	`ed.`	1st International Workshop on Visual Analytics Using Multidimensional Projections, VAMP@EuroVis 2013, Leipzig, Germany, June 19, 2013 VAMP@EuroVis Michaël Aupetit, Laurens van der Maaten
2013	—	`conf`	Alternating Optimization for Lambertian Photometric Stereo Model with Unknown Lighting Directions. CAIP (2) Khrystyna Kyrgyzova, Lorène Allano, Michaël Aupetit
2013	—	`conf`	ClassiMap: a Supervised Mapping Technique for Decision Support. VAMP@EuroVis Sylvain Lespinats, Michaël Aupetit
2013	—	`conf`	Extraction des nombres de Betti avec un modèle génératif. EGC Maxime Maillot, Michaël Aupetit, Gérard Govaert
2013	—	`conf`	ProxiLens: Interactive Exploration of High-Dimensional Data using Projections. VAMP@EuroVis Nicolas Heulot, Michaël Aupetit, Jean-Daniel Fekete
2012	B	`conf`	A generative model that learns Betti numbers from a data set. ESANN Maxime Maillot, Michaël Aupetit, Gérard Govaert
2012	J	`jnl`	A new supervised non-linear mapping CoRR Sylvain Lespinats, Anke Meyer-Bäse, Michaël Aupetit
2012	—	`book`	Approches topologiques pour l'analyse exploratoire de données et l'aide à la décision. (Topological approaches for data analytic and decision support). Michaël Aupetit
2011	J	`jnl`	CheckViz: Sanity Check and Topological Clues for Linear and Non-Linear Mappings. Comput. Graph. Forum Sylvain Lespinats, Michaël Aupetit
2010	B	`conf`	Mapping without visualizing local default is nonsense. ESANN Sylvain Lespinats, Michaël Aupetit
2010	B	`conf`	Recent Advances in Nonlinear Dimensionality Reduction, Manifold and Topological Learning. ESANN Axel Wismüller, Michel Verleysen, Michaël Aupetit, John Aldo Lee
2010	J	`jnl`	Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2010	—	`conf`	Visual Analytics to Check Marine Containers in the Eritr\@c Project. EuroVAST@EuroVis Michaël Aupetit, Lorène Allano, Isabelle Espagnon, Guillaume Sannie
2009	J	`jnl`	Le Graphe Génératif Gaussien. Monde des Util. Anal. Données Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2009	J	`jnl`	Nearly homogeneous multi-partitioning with a deterministic generator. Neurocomputing Michaël Aupetit
2008	B	`conf`	Homogeneous bipartition based on multidimensional ranking. ESANN Michaël Aupetit
2008	J	`jnl`	Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2008	J	`jnl`	Mesurer et visualiser les distorsions dans les techniques de projection continues. Rev. d'Intelligence Artif. Michaël Aupetit, Pierre Gaillard
2008	—	`conf`	Un modèle génératif pour l'Apprentissage de la Topologie. AAFD Michaël Aupetit, Pierre Gaillard, Gérard Govaert
2007	—	`conf`	Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2007	J	`jnl`	Concerning the differentiability of the energy function in vector quantization algorithms. Neural Networks Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
2007	B	`conf`	Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2007	J	`jnl`	Visualizing distortions and recovering topology in continuous projection techniques. Neurocomputing Michaël Aupetit
2006	J	`jnl`	Concerning the differentiability of the energy function in vector quantization algorithms CoRR Dominique Lepetz, Max Némoz-Gaillard, Michaël Aupetit
2006	J	`jnl`	How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. Artif. Intell. David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller
2006	B	`conf`	Visualizing the trustworthiness of a projection. ESANN Michaël Aupetit
2005	J	`jnl`	High-dimensional labeled data analysis with topology representing graphs. Neurocomputing Michaël Aupetit, Thibaud Catz
2005	—	`conf`	Learning Topology with the Generative Gaussian Graph and the EM Algorithm. NIPS Michaël Aupetit
2004	B	`conf`	Visualizing distortions in continuous projection techniques. ESANN Michaël Aupetit
2003	B	`conf`	High-dimensional labeled data analysis with Gabriel graphs. ESANN Michaël Aupetit
2003	B	`conf`	Robust Topology Representing Networks. ESANN Michaël Aupetit
2002	J	`jnl`	gamma-Observable neighbours for vector quantization. Neural Networks Michaël Aupetit, Pierre Couturier, Pierre Massotte
2001	—	`conf`	Induced Voronoï Kernels for Principal Manifolds Approximation. WSOM Michaël Aupetit, Pierre Couturier, Pierre Massotte
2001	—	`conf`	Vector Quantization with γ-Observable Neighbors. WSOM Michaël Aupetit, Pierre Couturier, Pierre Massotte
2000	—	`conf`	A 'Recruiting Neural-Gas' for Function Approximation. IJCNN (3) Michaël Aupetit, Pierre Couturier, Pierre Massotte