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ORCIDDaniel Archambault
Daniel W. Archambault
Person information
- affiliation: Swansea University, UK
- affiliation (PhD): University of British Columbia, Vancouver, BC, Canada
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2020 – today
- 2024
[j37]Peter Rottmann
, Peter J. Rodgers, Xinyuan Yan, Daniel Archambault, Bei Wang, Jan-Henrik Haunert:
Generating Euler Diagrams Through Combinatorial Optimization. Comput. Graph. Forum 43(3) (2024)- [j36]B. Vago, Daniel Archambault, Alessio Arleo:
DynTrix: A Hybrid Representation for Dynamic Graphs. Comput. Graph. Forum 43(3) (2024) - [c41]Xinyuan Yan, Peter Rodgers, Peter Rottmann, Daniel Archambault, Jan-Henrik Haunert, Bei Wang:
EulerMerge: Simplifying Euler Diagrams Through Set Merges. Diagrams 2024: 190-206 - [c40]Daniel Archambault, Giuseppe Liotta, Martin Nöllenburg, Tommaso Piselli, Alessandra Tappini, Markus Wallinger:
Bundling-Aware Graph Drawing. GD 2024: 15:1-15:19 - [i17]Daniel Archambault, Fintan McGee, Nicolás Reinoso-Schiller, Tatiana von Landesberger, Simone Scheithauer:
Reflections on Pandemic Visualization (Dagstuhl Seminar 24091). Dagstuhl Reports 14(2): 191-205 (2024) - 2023
- [j35]Markus Wallinger, Daniel Archambault, David Auber, Martin Nöllenburg, Jaakko Peltonen:
Faster Edge-Path Bundling through Graph Spanners. Comput. Graph. Forum 42(6) (2023) - [c39]Graham Mcneill, Max Sondag, Stewart Powell, Phoebe Asplin, Cagatay Turkay, Faron Moller, Daniel Archambault:
From Asymptomatics to Zombies: Visualization-Based Education of Disease Modeling for Children. CHI 2023: 839:1-839:17 - [c38]Velitchko Andreev Filipov, Davide Ceneda, Daniel Archambault, Alessio Arleo:
TimeLighting: Guidance-Enhanced Exploration of 2D Projections of Temporal Graphs. GD (1) 2023: 231-245 - [c37]Sophie Sadler, Alma A. M. Rahat, David Walker, Daniel Archambault:
Extrema Graphs: Fitness Landscape Analysis to the Extreme! GECCO Companion 2023: 2081-2089 - [e8]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2023, MLVis@EuroVis 2023, Leipzig, Germany, June 12, 2023. Eurographics Association 2023, ISBN 978-3-03868-224-0 [contents] - [i16]Velitchko Andreev Filipov, Davide Ceneda, Daniel Archambault, Alessio Arleo:
TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs. CoRR abs/2308.12628 (2023) - [i15]Xinyuan Yan, Peter Rodgers, Peter Rottmann, Daniel Archambault, Jan-Henrik Haunert, Bei Wang:
EulerMerge: Simplifying Euler Diagrams Through Set Merges. CoRR abs/2311.15396 (2023) - 2022
- [j34]Sophie Sadler, Derek Greene, Daniel Archambault:
Towards explainable community finding. Appl. Netw. Sci. 7(1): 81 (2022) - [j33]Max Sondag, Cagatay Turkay, Kai Xu, Louise Matthews, Sibylle Mohr, Daniel Archambault:
Visual Analytics of Contact Tracing Policy Simulations During an Emergency Response. Comput. Graph. Forum 41(3): 29-41 (2022) - [j32]Alessio Arleo, Silvia Miksch, Daniel Archambault:
Event-based Dynamic Graph Drawing without the Agonizing Pain. Comput. Graph. Forum 41(6): 226-244 (2022) - [j31]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) - [e7]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
Machine Learning Methods in Visualisation for Big Data 2022, MLVis@EuroVis 2022, Rome, Italy, June 13, 2022. Eurographics Association 2022, ISBN 978-3-03868-182-3 [contents] - [i14]Jason Dykes, Alfie Abdul-Rahman, Daniel Archambault, Benjamin Bach, Rita Borgo, Min Chen, Jessica A. Enright, Hui Fang, Elif E. Firat, Euan Freeman, Tuna Gonen, Claire Harris, Radu Jianu, Nigel W. John, Saiful Khan, Andrew Lahiff, Robert S. Laramee, Louise Matthews, Sibylle Mohr, Phong Hai Nguyen, Alma A. M. Rahat, Richard E. Reeve, Panagiotis D. Ritsos, Jonathan C. Roberts, Aidan Slingsby, Ben Swallow, Thomas Torsney-Weir, Cagatay Turkay, Robert Turner, Franck P. Vidal, Qiru Wang, Jo Wood, Kai Xu:
Visualization for Epidemiological Modelling: Challenges, Solutions, Reflections & Recommendations. CoRR abs/2204.06946 (2022) - 2021
- [b1]Fintan McGee, Benjamin Renoust, Daniel Archambault, Mohammad Ghoniem, Andreas Kerren, Bruno Pinaud, Margit Pohl, Benoît Otjacques, Guy Melançon, Tatiana von Landesberger:
Visual Analysis of Multilayer Networks. Synthesis Lectures on Visualization, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01480-2, pp. 1-150 - [j30]Cagatay Turkay, Tatiana von Landesberger, Daniel Archambault, Shixia Liu, Remco Chang:
Special Issue on Interactive Visual Analytics for Making Explainable and Accountable Decisions. ACM Trans. Interact. Intell. Syst. 11(3-4): 17:1-17:4 (2021) - [j29]Alexandra Lee, Daniel Archambault, Miguel A. Nacenta:
The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays. IEEE Trans. Vis. Comput. Graph. 27(2): 528-538 (2021) - [j28]Tom Baumgartl, Markus Petzold, Marcel Wunderlich, Markus Höhn, Daniel Archambault, M. Lieser, A. Dalpke, Simone Scheithauer, Michael Marschollek, Vanessa Eichel, Nico T. Mutters, Highmed Consortium, Tatiana von Landesberger:
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals. IEEE Trans. Vis. Comput. Graph. 27(2): 711-721 (2021) - [c36]Sophie Sadler, Derek Greene, Daniel Archambault:
Selecting Informative Features for Post-hoc Community Explanation. COMPLEX NETWORKS 2021: 297-308 - [c35]F. Gibson, R. Fabbro, Alma A. M. Rahat, Thomas Torsney-Weir, Daniel Archambault, M. Gravenor, B. Lucini:
An interactive tool for enhancing hospital capacity predictions using an epidemiological model. GECCO Companion 2021: 55-56 - [c34]Alessio Arleo, Silvia Miksch, Daniel Archambault:
A Multilevel Approach for Event-Based Dynamic Graph Drawing. EuroVis (Short Papers) 2021: 103-107 - [e6]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
4th Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2021, Virtual Event, Switzerland, June 14, 2021. Eurographics Association 2021, ISBN 978-3-03868-146-5 [contents] - [i13]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
- [j27]Daniel Archambault, Csaba D. Tóth:
Guest editors' foreword. J. Graph Algorithms Appl. 24(4): 547-549 (2020) - [j26]Paolo Simonetto, Daniel Archambault, Stephen G. Kobourov:
Event-Based Dynamic Graph Visualisation. IEEE Trans. Vis. Comput. Graph. 26(7): 2373-2386 (2020) - [c33]Helen C. Purchase, Nathan Stirling, Daniel Archambault:
Proximity, Communities, and Attributes in Social Network Visualisation. ASONAM 2020: 65-72 - [c32]Athanasios Vogogias, Daniel Archambault, Benjamin Bach, Jessie Kennedy:
Visual Encodings for Networks with Multiple Edge Types. AVI 2020: 37:1-37:9 - [c31]Helen C. Purchase, Daniel Archambault, Stephen G. Kobourov, Martin Nöllenburg, Sergey Pupyrev, Hsiang-Yun Wu:
The Turing Test for Graph Drawing Algorithms. GD 2020: 466-481 - [e5]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
3rd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@Eurographics/EuroVis 2020, Norrköping, Sweden, May 25, 2020 [online only]. Eurographics Association 2020, ISBN 978-3-03868-113-7 [contents] - [i12]Helen C. Purchase, Daniel Archambault, Stephen G. Kobourov, Martin Nöllenburg, Sergey Pupyrev, Hsiang-Yun Wu:
The Turing Test for Graph Drawing Algorithms. CoRR abs/2008.04869 (2020) - [i11]Tom Baumgartl, Markus Petzold, Marcel Wunderlich, Markus Höhn, Daniel Archambault, M. Lieser, A. Dalpke, Simone Scheithauer, Michael Marschollek, Vanessa Eichel, Nico T. Mutters, Tatiana von Landesberger:
In Search of Patient Zero: Visual Analytics of Pathogen Transmission Pathways in Hospitals. CoRR abs/2008.09552 (2020) - [i10]Alexandra Lee, Daniel Archambault, Miguel A. Nacenta:
The Effectiveness of Interactive Visualization Techniques for Time Navigation of Dynamic Graphs on Large Displays. CoRR abs/2008.12747 (2020) - [i9]Min Chen, Alfie Abdul-Rahman, Daniel Archambault, Jason Dykes, Aidan Slingsby, Panagiotis D. Ritsos, Thomas Torsney-Weir, Cagatay Turkay, Benjamin Bach, A. Brett, Hui Fang, Radu Jianu, Saiful Khan, Robert S. Laramee, Phong Hai Nguyen, Richard E. Reeve, Jonathan C. Roberts, Franck Vidal, Q. Wang, Jo Wood, Kai Xu:
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses. CoRR abs/2012.04757 (2020)
2010 – 2019
- 2019
- [j25]Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, Benjamin Bach, V. Anne Smith, Hannah Currant:
BayesPiles: Visualisation Support for Bayesian Network Structure Learning. ACM Trans. Intell. Syst. Technol. 10(1): 5:1-5:23 (2019) - [c30]Alexandra Lee, Daniel Archambault, Miguel A. Nacenta:
Dynamic Network Plaid: A Tool for the Analysis of Dynamic Networks. CHI 2019: 130 - [c29]Filippos Pantekis, Phillip James, Liam O'Reilly, Daniel Archambault, Faron Moller:
Visualising Railway Safety Verification. FTSCS 2019: 95-105 - [c28]Yong Wang, Daniel Archambault, Hammad Haleem, Torsten Möller, Yanhong Wu, Huamin Qu:
Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity. IEEE VIS (Short Papers) 2019: 241-245 - [e4]Daniel Archambault, Csaba D. Tóth:
Graph Drawing and Network Visualization - 27th International Symposium, GD 2019, Prague, Czech Republic, September 17-20, 2019, Proceedings. Lecture Notes in Computer Science 11904, Springer 2019, ISBN 978-3-030-35801-3 [contents] - [e3]Daniel Archambault, Ian T. Nabney, Jaakko Peltonen:
2nd Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2019, Porto, Portugal, June 3, 2019. Eurographics Association 2019, ISBN 978-3-03868-089-5 [contents] - [i8]Yong Wang, Daniel Archambault, Hammad Haleem, Torsten Möller, Yanhong Wu, Huamin Qu:
Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity. CoRR abs/1907.12015 (2019) - [i7]Daniel Archambault, Csaba D. Tóth:
Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD 2019). CoRR abs/1909.07013 (2019) - 2018
- [j24]Yong Wang, Daniel Archambault, Carlos Eduardo Scheidegger, Huamin Qu:
A Vector Field Design Approach to Animated Transitions. IEEE Trans. Vis. Comput. Graph. 24(9): 2487-2500 (2018) - [j23]Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu:
Exploring the limits of complexity: A survey of empirical studies on graph visualisation. Vis. Informatics 2(4): 264-282 (2018) - [e2]Ian T. Nabney, Jaakko Peltonen, Daniel Archambault:
1st Workshop on Machine Learning Methods in Visualisation for Big Data, MLVis@EuroVis 2018, Brno, Czech Republic, June 4, 2018. Eurographics Association 2018, ISBN 978-3-03868-062-8 [contents] - [r2]David Auber, Daniel Archambault, Romain Bourqui, Maylis Delest, Jonathan Dubois, Antoine Lambert, Patrick Mary, Morgan Mathiaut, Guy Melançon, Bruno Pinaud, Benjamin Renoust, Jason Vallet:
Tulip 5. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Vahan Yoghourdjian, Daniel Archambault, Stephan Diehl, Tim Dwyer, Karsten Klein, Helen C. Purchase, Hsiang-Yun Wu:
Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation. CoRR abs/1809.00270 (2018) - [i5]Daniel Archambault, Karsten Klein, Kazuo Misue:
Reimagining the Mental Map and Drawing Stability (NII Shonan Meeting 2018-12). NII Shonan Meet. Rep. 2018 (2018) - 2017
- [j22]Benjamin Bach, Pierre Dragicevic, Daniel Archambault, Christophe Hurter, Sheelagh Carpendale:
A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space-Time Cubes. Comput. Graph. Forum 36(6): 36-61 (2017) - [j21]Yanhong Wu, Nan Cao, Daniel Archambault, Qiaomu Shen, Huamin Qu, Weiwei Cui:
Evaluation of Graph Sampling: A Visualization Perspective. IEEE Trans. Vis. Comput. Graph. 23(1): 401-410 (2017) - [j20]Naoko Toeda, Rina Nakazawa, Takayuki Itoh, Takafumi Saito, Daniel Archambault:
Convergent drawing for mutually connected directed graphs. J. Vis. Lang. Comput. 43: 83-90 (2017) - [c27]Paolo Simonetto, Daniel Archambault, Stephen G. Kobourov:
Drawing Dynamic Graphs Without Timeslices. GD 2017: 394-409 - [e1]Daniel Archambault, Helen C. Purchase, Tobias Hoßfeld:
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments - Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22-27, 2015, Revised Contributions. Lecture Notes in Computer Science 10264, Springer 2017, ISBN 978-3-319-66434-7 [contents] - [i4]Paolo Simonetto, Daniel Archambault, Stephen G. Kobourov:
Drawing Dynamic Graphs Without Timeslices. CoRR abs/1709.00372 (2017) - 2016
- [j19]David H. S. Chung, Daniel Archambault, Rita Borgo, Darren J. Edwards, Robert S. Laramee, Min Chen:
How Ordered Is It? On the Perceptual Orderability of Visual Channels. Comput. Graph. Forum 35(3): 131-140 (2016) - [j18]Daniel Archambault, Helen C. Purchase:
Can animation support the visualisation of dynamic graphs? Inf. Sci. 330: 495-509 (2016) - [j17]Daniel Archambault, Helen C. Purchase:
On the effective visualisation of dynamic attribute cascades. Inf. Vis. 15(1): 51-63 (2016) - [j16]Yong Wang, Qiaomu Shen, Daniel Archambault, Zhiguang Zhou, Min Zhu, Sixiao Yang, Huamin Qu:
AmbiguityVis: Visualization of Ambiguity in Graph Layouts. IEEE Trans. Vis. Comput. Graph. 22(1): 359-368 (2016) - [j15]Paolo Simonetto, Daniel Archambault, Carlos Scheidegger:
A Simple Approach for Boundary Improvement of Euler Diagrams. IEEE Trans. Vis. Comput. Graph. 22(1): 678-687 (2016) - [c26]Alexandra Lee, Daniel Archambault:
Communities Found by Users - not Algorithms: Comparing Human and Algorithmically Generated Communities. CHI 2016: 2396-2400 - [c25]Naoko Toeda, Rina Nakazawa, Takayuki Itoh, Takafumi Saito, Daniel W. Archambault:
On Edge Bundling and Node Layout for Mutually Connected Directed Graphs. IV 2016: 94-99 - [c24]Athanasios Vogogias, Jessie Kennedy, Daniel Archambault, V. Anne Smith, Hannah Currant:
MLCut: Exploring Multi-Level Cuts in Dendrograms for Biological Data. CGVC 2016: 1-8 - [c23]Athanasios Vogogias, Jessie Kennedy, Daniel Archambault:
Hierarchical Clustering with Multiple-Height Branch-Cut Applied to Short Time-Series Gene Expression Data. EuroVis (Posters) 2016: 1-3 - 2015
- [c22]Daniel Archambault, Helen C. Purchase, Tobias Hoßfeld:
Evaluation in the Crowd: An Introduction. Crowdsourcing and Human-Centered Experiments 2015: 1-5 - [c21]Ujwal Gadiraju, Sebastian Möller, Martin Nöllenburg, Dietmar Saupe, Sebastian Egger-Lampl, Daniel Archambault, Brian D. Fisher:
Crowdsourcing Versus the Laboratory: Towards Human-Centered Experiments Using the Crowd. Crowdsourcing and Human-Centered Experiments 2015: 6-26 - [i3]Derek Greene, Daniel Archambault, Václav Belák, Pádraig Cunningham:
TextLuas: Tracking and Visualizing Document and Term Clusters in Dynamic Text Data. CoRR abs/1502.04609 (2015) - [i2]Daniel Archambault, Tobias Hoßfeld, Helen C. Purchase:
Crowdsourcing and Human-Centred Experiments (Dagstuhl Seminar 15481). Dagstuhl Reports 5(11): 103-126 (2015) - 2014
- [j14]Daniel Archambault, Neil J. Hurley:
Visualization of trends in subscriber attributes of communities on mobile telecommunications networks. Soc. Netw. Anal. Min. 4(1): 205 (2014) - [c20]Daniel Archambault, Helen C. Purchase:
On the Application of Experimental Results in Dynamic Graph Drawing. ED/GViP@Diagrams 2014: 73-77 - [c19]Benjamin Bach, Pierre Dragicevic, Daniel Archambault, Christophe Hurter, Sheelagh Carpendale:
A Review of Temporal Data Visualizations Based on Space-Time Cube Operations. EuroVis (STARs) 2014 - [c18]Michael Nicholas, Daniel Archambault, Robert S. Laramee:
Interactive Visualisation of Automotive Warranty Data Using Novel Extensions of Chord Diagrams. EuroVis (Short Papers) 2014 - [r1]David Auber, Daniel Archambault, Romain Bourqui, Maylis Delest, Jonathan Dubois, Bruno Pinaud, Antoine Lambert, Patrick Mary, Morgan Mathiaut, Guy Melançon:
Tulip III. Encyclopedia of Social Network Analysis and Mining 2014: 2216-2240 - 2013
- [j13]Daniel Archambault, Ruben Bouwmeester, Cosmin Cabulea, Elizabeth M. Daly, Giusy Di Lorenzo, Maarten de Rijke, Martin Harrigan, Eser Kandogan, Michael J. Muller, Mor Naaman, Daniele Quercia, Damiano Spina, Markus Strohmaier, Arkaitz Zubiaga:
Reports on the Workshops Held at the Sixth International AAAI Conference on Weblogs and Social Media. AI Mag. 34(1): 101- (2013) - [j12]Daniel Archambault, Fabio Celli, Elizabeth M. Daly, Ingrid Erickson, Werner Geyer, Germaine R. Halegoua, Brian Keegan, David R. Millen, Raz Schwartz, N. Sadat Shami:
Reports on the 2013 Workshop Program of the Seventh International AAAI Conference on Weblogs and Social Media. AI Mag. 34(4): 9- (2013) - [j11]Daniel Archambault, Helen C. Purchase:
The "Map" in the mental map: Experimental results in dynamic graph drawing. Int. J. Hum. Comput. Stud. 71(11): 1044-1055 (2013) - [c17]Daniel Archambault, Neil J. Hurley, Cuong To Tu:
ChurnVis: visualizing mobile telecommunications churn on a social network with attributes. ASONAM 2013: 894-901 - [c16]Daniel Archambault, James Abello, Jessie Kennedy, Stephen G. Kobourov, Kwan-Liu Ma, Silvia Miksch, Chris Muelder, Alexandru C. Telea:
Temporal Multivariate Networks. Multivariate Network Visualization 2013: 151-174 - [i1]Daniel Archambault, Derek Greene, Pádraig Cunningham:
TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data. CoRR abs/1306.3839 (2013) - 2012
- [c15]Daniel Archambault, Helen C. Purchase:
The mental map and memorability in dynamic graphs. PacificVis 2012: 89-96 - [c14]Martin Harrigan, Daniel Archambault, Pádraig Cunningham, Neil J. Hurley:
EgoNav: exploring networks through egocentric spatializations. AVI 2012: 563-570 - [c13]Daniel Archambault, Helen C. Purchase:
Mental Map Preservation Helps User Orientation in Dynamic Graphs. GD 2012: 475-486 - 2011
- [j10]Paolo Simonetto, Daniel Archambault, David Auber, Romain Bourqui:
ImPrEd: An Improved Force-Directed Algorithm that Prevents Nodes from Crossing Edges. Comput. Graph. Forum 30(3): 1071-1080 (2011) - [j9]Daniel Archambault, Tamara Munzner, David Auber:
Tugging Graphs Faster: Efficiently Modifying Path-Preserving Hierarchies for Browsing Paths. IEEE Trans. Vis. Comput. Graph. 17(3): 276-289 (2011) - [j8]Daniel Archambault, Helen C. Purchase, Bruno Pinaud:
Animation, Small Multiples, and the Effect of Mental Map Preservation in Dynamic Graphs. IEEE Trans. Vis. Comput. Graph. 17(4): 539-552 (2011) - [c12]Daniel Archambault, Derek Greene, Pádraig Cunningham, Neil J. Hurley:
ThemeCrowds: multiresolution summaries of twitter usage. SMUC 2011: 77-84 - [c11]Anthony Brew, Derek Greene, Daniel Archambault, Padraig Cunningham:
Deriving Insights from National Happiness Indices. ICDM Workshops 2011: 53-60 - [c10]Karen Wade, Derek Greene, Conrad Lee, Daniel Archambault, Pádraig Cunningham:
Identifying Representative Textual Sources in Blog Networks. ICWSM 2011 - 2010
- [j7]Daniel Archambault, Helen C. Purchase, Bruno Pinaud:
The Readability of Path-Preserving Clusterings of Graphs. Comput. Graph. Forum 29(3): 1173-1182 (2010) - [j6]Donald Derrick, Daniel Archambault:
TreeForm: Explaining and exploring grammar through syntax trees. Lit. Linguistic Comput. 25(1): 53-66 (2010) - [c9]David Auber, Patrick Mary, Morgan Mathiaut, Jonathan Dubois, Antoine Lambert, Daniel Archambault, Romain Bourqui, Bruno Pinaud, Maylis Delest, Guy Melançon:
Tulip : a scalable graph visualization framework. EGC 2010: 623-624 - [c8]Daniel Archambault, Helen C. Purchase, Bruno Pinaud:
Difference Map Readability for Dynamic Graphs. GD 2010: 50-61 - [c7]Pierre-Yves Koenig, Faraz Zaidi, Daniel Archambault:
Interactive searching and visualization of patterns in attributed graphs. Graphics Interface 2010: 113-120 - [c6]Faraz Zaidi, Daniel Archambault, Guy Melançon:
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths. ICDM 2010: 42-56
2000 – 2009
- 2009
- [j5]Paolo Simonetto, David Auber, Daniel Archambault:
Fully Automatic Visualisation of Overlapping Sets. Comput. Graph. Forum 28(3): 967-974 (2009) - [c5]Daniel Archambault, Tamara Munzner, David Auber:
TugGraph: Path-preserving hierarchies for browsing proximity and paths in graphs. PacificVis 2009: 113-120 - [c4]Daniel Archambault:
Structural differences between two graphs through hierarchies. Graphics Interface 2009: 87-94 - [c3]Paolo Simonetto, Pierre-Yves Koenig, Faraz Zaidi, Daniel Archambault, Frédéric Gilbert, Trung-Tien Phan-Quang, Morgan Mathiaut, Antoine Lambert, Jonathan Dubois, Ronan Sicre, Mathieu Brulin, Rémy Vieux, Guy Melançon:
Solving the traffic and flitter challenges with tulip. IEEE VAST 2009: 247-248 - 2008
- [j4]Daniel Archambault, Tamara Munzner, David Auber:
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space. IEEE Trans. Vis. Comput. Graph. 14(4): 900-913 (2008) - 2007
- [j3]Daniel Archambault, Tamara Munzner, David Auber:
TopoLayout: Multilevel Graph Layout by Topological Features. IEEE Trans. Vis. Comput. Graph. 13(2): 305-317 (2007) - [c2]Daniel Archambault, Tamara Munzner, David Auber:
Grouse: Feature-Based, Steerable Graph Hierarchy Exploration. EuroVis 2007: 67-74 - 2006
- [j2]Daniel Archambault, Tamara Munzner, David Auber:
Smashing Peacocks Further: Drawing Quasi-Trees from Biconnected Components. IEEE Trans. Vis. Comput. Graph. 12(5): 813-820 (2006) - 2005
- [j1]Daniel Archambault, William S. Evans, David G. Kirkpatrick:
Computing the Set of all the Distant Horizons of a Terrain. Int. J. Comput. Geom. Appl. 15(6): 547-564 (2005) - 2004
- [c1]William S. Evans, Daniel Archambault, David G. Kirkpatrick:
Computing the set of all distant horizons of a terrain. CCCG 2004: 76-79
Coauthor Index
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