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2020 – today
- 2023
[j10]Nicolas Buton
, François Coste, Yann Le Cunff:
Predicting enzymatic function of protein sequences with attention. Bioinform. 39(10) (2023)- [j9]Olivier Dennler, François Coste, Samuel Blanquart, Catherine Belleannée, Nathalie Théret:
Phylogenetic inference of the emergence of sequence modules and protein-protein interactions in the ADAMTS-TSL family. PLoS Comput. Biol. 19(8) (2023) - [e2]François Coste, Faissal Ouardi, Guillaume Rabusseau:
International Conference on Grammatical Inference, ICGI 2023, 10-13 July 2023, Rabat, Morocco. Proceedings of Machine Learning Research 217, PMLR 2023 [contents] - 2021
- [j8]Hugo Talibart, François Coste:
PPalign: optimal alignment of Potts models representing proteins with direct coupling information. BMC Bioinform. 22(1): 317 (2021)
2010 – 2019
- 2019
- [i3]François Coste:
Deep learning languages: a key fundamental shift from probabilities to weights? CoRR abs/1908.00785 (2019) - 2018
- [c15]Mateusz Pyzik, François Coste, Witold Dyrka:
How to measure the topological quality of protein parse trees? ICGI 2018: 118-138 - [c14]François Coste, Jacques Nicolas:
Learning local substitutable context-free languages from positive examples in polynomial time and data by reduction. ICGI 2018: 155-168 - [i2]Witold Dyrka, François Coste, Juliette Talibart:
Estimating probabilistic context-free grammars for proteins using contact map constraints. CoRR abs/1805.08630 (2018) - 2016
- [j7]Clovis Galiez, Christophe N. Magnan, François Coste, Pierre Baldi:
VIRALpro: a tool to identify viral capsid and tail sequences. Bioinform. 32(9): 1405-1407 (2016) - [i1]Witold Dyrka, François Coste, Olgierd Unold, Lukasz Culer, Agnieszka Kaczmarek:
How to measure the topological quality of protein grammars? CoRR abs/1611.10078 (2016) - 2015
- [j6]Clovis Galiez, François Coste:
Amplitude spectrum distance: measuring the global shape divergence of protein fragments. BMC Bioinform. 16: 256:1-256:16 (2015) - 2014
- [c13]François Coste, Gaëlle Garet, Agnès Groisillier, Jacques Nicolas, Thierry Tonon:
Automated Enzyme Classification by Formal Concept Analysis. ICFCA 2014: 235-250 - [c12]François Coste, Gaëlle Garet, Jacques Nicolas:
A bottom-up efficient algorithm learning substitutable languages from positive examples. ICGI 2014: 49-63 - 2013
- [j5]Anthony Bretaudeau, François Coste, Florian Humily, Laurence Garczarek, Gildas Le Corguillé, Christophe Six, Morgane Ratin, Olivier Collin, Wendy M. Schluchter, Frédéric Partensky:
CyanoLyase: a database of phycobilin lyase sequences, motifs and functions. Nucleic Acids Res. 41(Database-Issue): 396-401 (2013) - 2012
- [j4]Rafael Carrascosa, François Coste, Matthias Gallé, Gabriel G. Infante López:
Searching for smallest grammars on large sequences and application to DNA. J. Discrete Algorithms 11: 62-72 (2012) - [c11]François Coste, Gaëlle Garet, Jacques Nicolas:
Locally Substitutable Languages for Enhanced Inductive Leaps. ICGI 2012: 97-111 - 2011
- [j3]Rafael Carrascosa, François Coste, Matthias Gallé, Gabriel G. Infante López:
The Smallest Grammar Problem as Constituents Choice and Minimal Grammar Parsing. Algorithms 4(4): 262-284 (2011) - 2010
- [c10]Rafael Carrascosa, François Coste, Matthias Gallé, Gabriel G. Infante López:
Choosing Word Occurrences for the Smallest Grammar Problem. LATA 2010: 154-165
2000 – 2009
- 2009
- [j2]Matthias Gallé, Pierre Peterlongo, François Coste:
In-Place Update of Suffix Array while Recoding Words. Int. J. Found. Comput. Sci. 20(6): 1025-1045 (2009) - 2008
- [c9]Matthias Gallé, Pierre Peterlongo, François Coste:
In-place Update of Suffix Array while Recoding Words. Stringology 2008: 54-67 - [e1]Alexander Clark, François Coste, Laurent Miclet:
Grammatical Inference: Algorithms and Applications, 9th International Colloquium, ICGI 2008, Saint-Malo, France, September 22-24, 2008, Proceedings. Lecture Notes in Computer Science 5278, Springer 2008, ISBN 978-3-540-88008-0 [contents] - 2005
- [j1]Bradford Starkie, François Coste, Menno van Zaanen:
Progressing the state-of-the-art in grammatical inference by competition: The Omphalos Context-Free Language Learning Competition. AI Commun. 18(2): 93-115 (2005) - [c8]François Coste, Goulven Kerbellec:
A Similar Fragments Merging Approach to Learn Automata on Proteins. ECML 2005: 522-529 - 2004
- [c7]Bradford Starkie, François Coste, Menno van Zaanen:
The Omphalos Context-Free Grammar Learning Competition. ICGI 2004: 16-27 - [c6]John Abela, François Coste, Sandro Spina:
Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA. ICGI 2004: 28-39 - [c5]François Coste, Daniel Fredouille, Christopher Kermorvant, Colin de la Higuera:
Introducing Domain and Typing Bias in Automata Inference. ICGI 2004: 115-126 - 2003
- [c4]François Coste, Daniel Fredouille:
Unambiguous Automata Inference by Means of State-Merging Methods. ECML 2003: 60-71 - 2000
- [c3]François Coste, Daniel Fredouille:
Efficient Ambiguity Detection in C-NFA, a Step Towards the Inference on Non Deterministic Automata. ICGI 2000: 25-38
1990 – 1999
- 1998
- [c2]François Coste, Jacques Nicolas:
Inference of Finite Automata: Reducing the Search Space with an Ordering of Pairs of States. ECML 1998: 37-42 - [c1]François Coste, Jacques Nicolas:
How Considering Incompatible State Mergings May Reduce the DFA Induction Search Tree. ICGI 1998: 199-210
Coauthor Index
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