• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 101 matches

• 2024
• 
  Auberlin Paguem Tchinda, Besfort Shala, Armin Lehmann, Bogdan Ghita, David Walker, Ulrich Trick:
  Energy-Efficient Placement of Virtual Network Functions in a Wireless Mesh Network. IEEE Access 12: 64807-64822 (2024)
• 
  David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf:
  Interactive big data visualization and analytics. Big Data Res. 36: 100445 (2024)
• 
  Nikos Bikakis, George Papastefanatos, Panos K. Chrysanthis, Olga Papemmanuil, David Auber, Steffen Frey, Issei Fujishiro, Hanna Hauptmann, Shixia Liu, Kwan-Liu Ma, Tobias Schreck, Michael Sedlmair, Mohamed A. Sharaf:
  Visualizing, Exploring and Analyzing Big Data: A 6-Year Story. SIGMOD Rec. 53(2): 54-57 (2024)
• 
  Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
  Toward Efficient Deep Learning for Graph Drawing (DL4GD). IEEE Trans. Vis. Comput. Graph. 30(2): 1516-1532 (2024)
• 
  Longsen Gao, Kevin Aubert, David Saldana, Claus Danielson, Rafael Fierro:
  Decentralized Adaptive Aerospace Transportation of Unknown Loads Using A Team of Robots. CoRR abs/2407.08084 (2024)
• 2023
• 
  Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini:
  State of the Art of Visual Analytics for eXplainable Deep Learning. Comput. Graph. Forum 42(1): 319-355 (2023)
• 
  Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
  Faster Edge-Path Bundling through Graph Spanners. Comput. Graph. Forum 42(6) (2023)
• 
  Etienne Lehembre, Johanna Giovannini, Damien Geslin, Alban Lepailleur, Jean Luc Lamotte, David Auber, Abdelkader Ouali, Bruno Crémilleux, Albrecht Zimmermann, Bertrand Cuissart, Ronan Bureau:
  Towards a partial order graph for interactive pharmacophore exploration: extraction of pharmacophores activity delta. J. Cheminformatics 15(1): 116 (2023)
• 
  Luc-Etienne Pommé, Romain Bourqui, Romain Giot, Jason Vallet, David Auber:
  NetPrune: A sparklines visualization for network pruning. Vis. Informatics 7(2): 85-99 (2023)
• 
  Katherine Aubert, Catherine Huber, Jacob Furst, Daniela Stan Raicu, Roselyne Tchoua:
  Iterative K-means clustering for disease subtype discovery. Computer-Aided Diagnosis 2023
• 2022
• 
  Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
  Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. IEEE Trans. Vis. Comput. Graph. 28(1): 313-323 (2022)
• 
  Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber:
  Color and Shape efficiency for outlier detection from automated to user evaluation. Vis. Informatics 6(2): 25-40 (2022)
• 
  Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
  VRGrid: Efficient Transformation of 2D Data into Pixel Grid Layout. IV 2022: 11-20
• 
  Luc-Etienne Pommé, Romain Bourqui, Romain Giot, David Auber:
  Relative Confusion Matrix: Efficient Comparison of Decision Models. IV 2022: 98-103
• 2021
• 
  Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
  Deep Neural Network for DrawiNg Networks, $${(DNN){\textit{2}\, }} $$. GD 2021: 375-390
• 
  Loann Giovannangeli, Romain Giot, David Auber, Jenny Benois-Pineau, Romain Bourqui:
  Analysis of Deep Neural Networks Correlations with Human Subjects on a Perception Task. IV 2021: 129-136
• 
  David Auber, Pavel Valtr:
  Graph Drawing and Network Visualization GD2020. CoRR abs/2101.00449 (2021)
• 
  Loann Giovannangeli, Romain Giot, David Auber, Romain Bourqui:
  Impacts of the Numbers of Colors and Shapes on Outlier Detection: from Automated to User Evaluation. CoRR abs/2103.06084 (2021)
• 
  Loann Giovannangeli, Frédéric Lalanne, David Auber, Romain Giot, Romain Bourqui:
  Deep Neural Network for DrawiNg Networks, (DNN)². CoRR abs/2108.03632 (2021)
• 
  Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
  Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach. CoRR abs/2108.05467 (2021)
• 2020
• 
  Elizabeth Arnaud, Marie-Angélique Laporte, Soonho Kim, Céline Aubert, Sabina Leonelli, Berta Miro, Laurel Cooper, Pankaj Jaiswal, Gideon Kruseman, Rosemary Shrestha, Pier Luigi Buttigieg, Christopher J. Mungall, Julian Pietragalla, Afolabi Agbona, Jacqueline Muliro, Jeffrey Detras, Vilma Hualla, Abhishek Rathore, Roma Rani Das, Ibnou Dieng, Guillaume Bauchet, Naama Menda, Cyril Pommier, Felix Shaw, David Lyon, Leroy Mwanzia, Henry Juarez, Enrico Bonaiuti, Brian Chiputwa, Oluremi Olatunbosun, Sandrine Auzoux, Esther Dzalé Yeumo, Lukas A. Mueller, Kevin A. T. Silverstein, Alexandra Lafargue, Erick Antezana, Medha Devare, Brian King:
  The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems. Patterns 1(7): 100105 (2020)
• 
  Jhonn Pablo Rodríguez, David Camilo Corrales, Jean-Noël Aubertot, Juan Carlos Corrales:
  A computer vision system for automatic cherry beans detection on coffee trees. Pattern Recognit. Lett. 136: 142-153 (2020)
• 
  Alexandre Perrot, David Auber:
  Cornac: Tackling Huge Graph Visualization with Big Data Infrastructure. IEEE Trans. Big Data 6(1): 80-92 (2020)
• 
  Loann Giovannangeli, Romain Bourqui, Romain Giot, David Auber:
  Toward automatic comparison of visualization techniques: Application to graph visualization. Vis. Informatics 4(2): 86-98 (2020)
• 
  Rodreck David, Benoit A. Aubert, Jean-Grégoire Bernard, Markus Luczak-Rösch:
  Critical Mass in Inter-Organizational Platforms. AMCIS 2020
• 
  Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf:
  Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. EDBT/ICDT Workshops 2020
• 
  Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
  Deep Dive into Deep Neural Networks with Flows. VISIGRAPP (3: IVAPP) 2020: 231-239
• 
  Adrien Halnaut, Romain Giot, Romain Bourqui, David Auber:
  Samples Classification Analysis Across DNN Layers with Fractal Curves. ICPR Workshops (3) 2020: 47-61
• 
  Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin, Matteo Lissandrini, Yannis Velegrakis:
  Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020. CEUR Workshop Proceedings 2578, CEUR-WS.org 2020 [contents]
• 
  David Auber, Pavel Valtr:
  Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12590, Springer 2020, ISBN 978-3-030-68765-6 [contents]

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