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ORCIDTiphaine Viard
Person information
- affiliation: Telecom Paris, Data Intelligence and Graphs (DIG), France
- affiliation: CNAN, Cédric Laboratory, France
- affiliation: RIKEN, Center of Advanced Intelligence Project (AIP), Tokyo, Japan
- affiliation (PhD 2016): Pierre and Marie Curie University, LIPN, Paris, France
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2020 – today
- 2024
[c8]Mélanie Gornet
, Simon Delarue, Maria Boritchev, Tiphaine Viard:
Mapping AI ethics: a meso-scale analysis of its charters and manifestos. FAccT 2024: 127-140- [i13]Simon Delarue, Astrid Bertrand, Tiphaine Viard:
Evaluating graph-based explanations for AI-based recommender systems. CoRR abs/2407.12357 (2024) - 2023
- [c7]Simon Delarue, Tiphaine Viard, Jean-Louis Dessalles:
Unexpected Attributed Subgraphs: a Mining Algorithm. ASONAM 2023: 171-178 - [c6]Astrid Bertrand, Tiphaine Viard, Rafik Belloum, James R. Eagan, Winston Maxwell:
On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations. CHI 2023: 411:1-411:21 - 2022
- [c5]Tiphaine Viard, Henry Soldano, Guillaume Santini:
Exploring and Mining Attributed Sequences of Interactions. COMPLEX NETWORKS (2) 2022: 537-549 - 2021
- [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i12]Tiphaine Viard, Henry Soldano, Guillaume Santini:
Exploring and mining attributed sequences of interactions. CoRR abs/2107.13329 (2021) - 2020
- [i11]Tiphaine Viard, Thomas McLachlan, Hamidreza Ghader, Satoshi Sekine:
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute. CoRR abs/2001.07558 (2020)
2010 – 2019
- 2019
- [j5]Tiphaine Viard, Raphaël Fournier-S'niehotta:
Augmenting content-based rating prediction with link stream features. Comput. Networks 150: 127-133 (2019) - [j4]Audrey Wilmet, Tiphaine Viard, Matthieu Latapy, Robin Lamarche-Perrin:
Outlier detection in IP traffic modelled as a link stream using the stability of degree distributions over time. Comput. Networks 161: 197-209 (2019) - [c4]Pimprenelle Parmentier, Tiphaine Viard, Benjamin Renoust, Jean-François Baffier:
Introducing Multilayer Stream Graphs and Layer Centralities. COMPLEX NETWORKS (2) 2019: 684-696 - [i10]Audrey Wilmet, Tiphaine Viard, Matthieu Latapy, Robin Lamarche-Perrin:
Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream. CoRR abs/1906.02524 (2019) - [i9]Matthieu Latapy, Clémence Magnien, Tiphaine Viard:
Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks. CoRR abs/1906.04840 (2019) - [i8]Pimprenelle Parmentier, Tiphaine Viard, Benjamin Renoust, Jean-François Baffier:
Introducing multilayer stream graphs and layer centralities. CoRR abs/1910.01511 (2019) - 2018
- [j3]Tiphaine Viard, Clémence Magnien, Matthieu Latapy:
Enumerating maximal cliques in link streams with durations. Inf. Process. Lett. 133: 44-48 (2018) - [j2]Matthieu Latapy, Tiphaine Viard, Clémence Magnien:
Stream graphs and link streams for the modeling of interactions over time. Soc. Netw. Anal. Min. 8(1): 61:1-61:29 (2018) - [c3]Audrey Wilmet, Tiphaine Viard, Matthieu Latapy, Robin Lamarche-Perrin:
Degree-Based Outliers Detection Within IP Traffic Modelled as a Link Stream. TMA 2018: 1-8 - [i7]Tiphaine Viard, Raphaël Fournier-S'niehotta:
Movie rating prediction using content-based and link stream features. CoRR abs/1805.02893 (2018) - 2017
- [i6]Matthieu Latapy, Tiphaine Viard, Clémence Magnien:
Stream Graphs and Link Streams for the Modeling of Interactions over Time. CoRR abs/1710.04073 (2017) - [i5]Tiphaine Viard, Raphaël Fournier-S'niehotta, Clémence Magnien, Matthieu Latapy:
Discovering Patterns of Interest in IP Traffic Using Cliques in Bipartite Link Streams. CoRR abs/1710.07107 (2017) - [i4]Tiphaine Viard, Clémence Magnien, Matthieu Latapy:
Enumerating maximal cliques in link streams with durations. CoRR abs/1712.06970 (2017) - 2016
- [b1]Tiphaine Viard:
Link streams for the modelling of interactions over time and application to the analysis of IP traffic. (Flots de liens pour la modélisation des interactions temporelles et application à l'analyse de trafic IP). Pierre and Marie Curie University, Paris, France, 2016 - [j1]Tiphaine Viard, Matthieu Latapy, Clémence Magnien:
Computing maximal cliques in link streams. Theor. Comput. Sci. 609: 245-252 (2016) - [c2]Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta, Qinna Wang, Matthieu Latapy:
Analysis of the Temporal and Structural Features of Threads in a Mailing-List. CompleNet 2016: 107-118 - 2015
- [i3]Tiphaine Viard, Matthieu Latapy, Clémence Magnien:
Computing maximal cliques in link streams. CoRR abs/1502.00993 (2015) - [i2]Noé Gaumont, Tiphaine Viard, Raphaël Fournier-S'niehotta, Qinna Wang, Matthieu Latapy:
Analysis of the temporal and structural features of threads in a mailing-list. CoRR abs/1512.05002 (2015) - 2014
- [c1]Matthieu Latapy, Tiphaine Viard:
Complex Networks and Link Streams for the Empirical Analysis of Large Software. Petri Nets 2014: 40-50 - [i1]Tiphaine Viard, Matthieu Latapy:
Identifying roles in an IP network with temporal and structural density. CoRR abs/1406.4969 (2014)
Coauthor Index
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