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ORCIDFrançois Théberge
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2020 – today
- 2024
[j13]Bogumil Kaminski
, Pawel Pralat, François Théberge, Sebastian Zajac:
Predicting properties of nodes via community-aware features. Soc. Netw. Anal. Min. 14(1): 117 (2024)- [c11]Jordan Barrett, Bogumil Kaminski, Pawel Pralat, François Théberge:
Self-similarity of Communities of the ABCD Model. WAW 2024: 17-31 - [c10]Ashkan Dehghan, Pawel Pralat, François Théberge:
Network Embedding Exploration Tool (NEExT). WAW 2024: 65-79 - [e2]Megan Dewar, Bogumil Kaminski, Daniel Kaszynski, Lukasz Krainski, Pawel Pralat, François Théberge, Malgorzata Wrzosek:
Modelling and Mining Networks - 19th International Workshop, WAW 2024, Warsaw, Poland, June 3-6, 2024, Proceedings. Lecture Notes in Computer Science 14671, Springer 2024, ISBN 978-3-031-59204-1 [contents] - [i16]Bogumil Kaminski, Pawel Misiorek, Pawel Pralat, François Théberge:
Modularity Based Community Detection in Hypergraphs. CoRR abs/2406.17556 (2024) - [i15]Jordan Barrett, Pawel Pralat, Aaron Smith, François Théberge:
Counting simplicial pairs in hypergraphs. CoRR abs/2408.11806 (2024) - 2023
- [b1]Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Generative Methods for Social Media Analysis. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-33616-4, pp. 1-67 - [j12]Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial benchmark for community detection with outliers (ABCD+o). Appl. Netw. Sci. 8(1): 25 (2023) - [j11]Bogumil Kaminski, Pawel Pralat, François Théberge:
Hypergraph Artificial Benchmark for Community Detection (h-ABCD). J. Complex Networks 11(4) (2023) - [c9]Bogumil Kaminski, Pawel Pralat, François Théberge, Sebastian Zajac:
Classification Supported by Community-Aware Node Features. COMPLEX NETWORKS (2) 2023: 133-145 - [c8]Bogumil Kaminski, Pawel Misiorek, Pawel Pralat, François Théberge:
Modularity Based Community Detection in Hypergraphs. WAW 2023: 52-67 - [e1]Megan Dewar, Pawel Pralat, Przemyslaw Szufel, François Théberge, Malgorzata Wrzosek:
Algorithms and Models for the Web Graph - 18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23-26, 2023, Proceedings. Lecture Notes in Computer Science 13894, Springer 2023, ISBN 978-3-031-32295-2 [contents] - [i14]Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial Benchmark for Community Detection with Outliers (ABCD+o). CoRR abs/2301.05749 (2023) - [i13]Bogumil Kaminski, Pawel Pralat, François Théberge, Sebastian Zajac:
Predicting Properties of Nodes via Community-Aware Features. CoRR abs/2311.04730 (2023) - [i12]Jordan Barrett, Bogumil Kaminski, Pawel Pralat, François Théberge:
Self-similarity of Communities of the ABCD Model. CoRR abs/2312.00238 (2023) - 2022
- [j10]Bogumil Kaminski, Tomasz Olczak, Bartosz Pankratz, Pawel Pralat, François Théberge:
Properties and Performance of the ABCDe Random Graph Model with Community Structure. Big Data Res. 30: 100348 (2022) - [j9]Arash Dehghan-Kooshkghazi, Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
Evaluating node embeddings of complex networks. J. Complex Networks 10(4) (2022) - [j8]Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge:
Modularity of the ABCD random graph model with community structure. J. Complex Networks 10(6) (2022) - [j7]Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
A multi-purposed unsupervised framework for comparing embeddings of undirected and directed graphs. Netw. Sci. 10(4): 323-346 (2022) - [c7]Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge:
Modularity of the ABCD Random Graph Model with Community Structure. COMPLEX NETWORKS (2) 2022: 3-15 - [c6]Bogumil Kaminski, Pawel Pralat, François Théberge:
Outliers in the ABCD Random Graph Model with Community Structure (ABCD+o). COMPLEX NETWORKS (2) 2022: 163-174 - [i11]Bogumil Kaminski, Bartosz Pankratz, Pawel Pralat, François Théberge:
Modularity of the ABCD Random Graph Model with Community Structure. CoRR abs/2203.01480 (2022) - [i10]Bogumil Kaminski, Tomasz Olczak, Bartosz Pankratz, Pawel Pralat, François Théberge:
Properties and Performance of the ABCDe Random Graph Model with Community Structure. CoRR abs/2203.14899 (2022) - [i9]Bogumil Kaminski, Pawel Pralat, François Théberge:
Hypergraph Artificial Benchmark for Community Detection (h-ABCD). CoRR abs/2210.15009 (2022) - 2021
- [j6]Bogumil Kaminski, Pawel Pralat, François Théberge:
An unsupervised framework for comparing graph embeddings. J. Complex Networks 8(5) (2021) - [j5]Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial Benchmark for Community Detection (ABCD) - Fast random graph model with community structure. Netw. Sci. 9(2): 153-178 (2021) - [j4]Valérie Poulin, François Théberge:
Comparing Graph Clusterings: Set Partition Measures vs. Graph-Aware Measures. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2127-2132 (2021) - [i8]Arash Dehghan-Kooshkghazi, Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
Evaluating Node Embeddings of Complex Networks. CoRR abs/2102.08275 (2021) - [i7]Bogumil Kaminski, Lukasz Krainski, Pawel Pralat, François Théberge:
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs. CoRR abs/2112.00075 (2021) - [i6]Stan Matwin, Aristides Milios, Pawel Pralat, Amílcar Soares, François Théberge:
Survey of Generative Methods for Social Media Analysis. CoRR abs/2112.07041 (2021) - 2020
- [c5]Bogumil Kaminski, Pawel Pralat, François Théberge:
Community Detection Algorithm Using Hypergraph Modularity. COMPLEX NETWORKS (1) 2020: 152-163 - [c4]Bogumil Kaminski, Pawel Pralat, François Théberge:
A Scalable Unsupervised Framework for Comparing Graph Embeddings. WAW 2020: 52-67 - [i5]Bogumil Kaminski, Pawel Pralat, François Théberge:
Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure. CoRR abs/2002.00843 (2020)
2010 – 2019
- 2019
- [j3]Valérie Poulin, François Théberge:
Ensemble clustering for graphs: comparisons and applications. Appl. Netw. Sci. 4(1): 51:1-51:13 (2019) - [i4]Valérie Poulin, François Théberge:
Ensemble Clustering for Graphs: Comparisons and Applications. CoRR abs/1903.08012 (2019) - [i3]Bogumil Kaminski, Pawel Pralat, François Théberge:
An Unsupervised Framework for Comparing Graph Embeddings. CoRR abs/1906.04562 (2019) - 2018
- [c3]Valérie Poulin, François Théberge:
Ensemble Clustering for Graphs. COMPLEX NETWORKS (1) 2018: 231-243 - [i2]Valérie Poulin, François Théberge:
Comparing Graph Clusterings: Set partition measures vs. Graph-aware measures. CoRR abs/1806.11494 (2018) - [i1]Valérie Poulin, François Théberge:
Ensemble Clustering for Graphs. CoRR abs/1809.05578 (2018)
2000 – 2009
- 2003
- [j2]Christopher F. Freiling, Douglas S. Jungreis, François Théberge, Kenneth Zeger:
Almost all complete binary prefix codes have a self-synchronizing string. IEEE Trans. Inf. Theory 49(9): 2219-2225 (2003)
1990 – 1999
- 1998
- [j1]François Théberge, Alain Simonian, Ravi Mazumdar:
Upper bounds for blocking probabilities in large multi-rate loss networks. Telecommun. Syst. 9(1): 23-39 (1998) - 1997
- [c2]Nikolay B. Likhanov, Ravi Mazumdar, François Théberge:
Calculating Cell Loss Probabilities for ON-OFF Sources in Large Unbuffered Systems. ICC (2) 1997: 560-564 - 1995
- [c1]François Théberge, Ravi Mazumdar:
Approximation Formulae for Blocking Probabilities in a Large Erlang Loss System: A Probabilistic Approach. INFOCOM 1995: 804-809
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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