2025
Journal international avec comité de relecture
Victor Henrique Silva Ribeiro et Loïc
Cerf. Summarizing
Boolean and Fuzzy Tensors with
Sub-Tensors. Information
Sciences, 719:122489, novembre
2025. Compléments.
PublicationsLes publications auxquelles j'ai contribué sont listées ci-dessous.
Victor Henrique Silva Ribeiro et Loïc
Cerf. Summarizing
Boolean and Fuzzy Tensors with
Sub-Tensors. Information
Sciences, 719:122489, novembre
2025. Compléments.
Loïc
Cerf. Enforcement
of Minimal Size and Area Constraints before and while Mining
Patterns in Fuzzy
Tensors. In SAC'23: Proceedings of
the 38th ACM/SIGAPP Symposium On Applied Computing,
pages 369–376. ACM Press, mars 2023. Taux d'acceptation
(articles longs) : 16%.
Victor Henrique Silva Ribeiro et Loïc
Cerf. Summarizing
Fuzzy Tensors with
Sub-Tensors. In SAC'23: Proceedings
of the 38th ACM/SIGAPP Symposium On Applied
Computing, pages 362–364. ACM Press, mars
2023. Poster
associé. Taux d'acceptation (articles courts et longs) :
24%.
Bernardo Abreu, João Paulo Ataide
Martins, et Loïc
Cerf. Developing
Biceps to Completely Compute in Subquadratic Time a New
Generic Type of Bicluster in Dense and Sparse
Matrices. Data Mining and Knowledge
Discovery, 36(4):1451–1497, juillet 2022.
Lucas Maciel, Jônatas Alves, Vinı́cius
Fernandes dos Santos, et Loïc
Cerf. Climbing
the Hill with ILP to Grow Patterns in Fuzzy
Tensors. International Journal of
Computational Intelligence Systems, 13(1):1036–1047,
juillet 2020.
Nicolas Nadisic, Aurélien Coussat, et
Loïc
Cerf. Mining
Skypatterns in Fuzzy Tensors. Data
Mining and Knowledge Discovery, 33(5):1298–1322,
septembre 2019.
Lucas Maciel, Jônatas Alves, Vinı́cius
Fernandes dos Santos, et Loïc
Cerf. Bigfoot
Climbing the Hill with ILP to Grow Patterns in Fuzzy
Tensors. In EUSFLAT'19: Proceedings
of the 11th Conference of the European Society for Fuzzy
Logic and Technology, pages 602–609. Atlantis Press,
septembre 2019.
Edgar Ernesto Gonzalez Kozlova, Loïc
Cerf, Francisco Santos Schneider, Benjamin Thomas Viart,
Christophe NGuyen, Bethina Trevisol Steiner, Sabrina de
Almeida Lima, Franck Molina, Clara Guerra Duarte, Liza
Felicori, Carlos Chávez-Olórtegui, et Ricardo Andrez
Machado-de-Ávila. Computational
B-Cell Epitope Identification and Production of Neutralizing
Murine Antibodies against
Atroxlysin-I. Scientific
Reports, 8:1–13, octobre 2018.
Aurélien Coussat, Nicolas Nadisic, et
Loïc
Cerf. Mining
High-Utility Patterns in Uncertain
Tensors. In KES'18: Proceedings of
the 22nd International Conference on Knowledge-Based and
Intelligent Information & Engineering Systems, pages
403–412. Elsevier, septembre 2018.
João Vitor Tenório, Loïc Cerf, et João
Paulo Ataide
Martins. A
New Approach for Sampling Descriptors in 4D-QSAR Methodology
Using Computational
Geometry. In SBQT'17: Atos do XIX
Simpósio Brasileiro de Química Teórica. Novembre
2017.
Loïc
Cerf. Padrões
de Alta Utilidade em Relações n-árias
Fuzzy. In KDMiLe'15: Proceedings of
the Third Symposium on Knowledge Discovery, Mining and
Learning, pages 50–57. SBC, octobre 2015. Taux
d'acceptation : 30%.
Gustavo Nascimento, Manoel Ribeiro, Loïc
Cerf, Natália Cesário, Mehdi Kaytoue, Chedy Raïssi, Thiago
Vasconcelos, et Wagner Meira
Jr. Modeling
and Analyzing the Video Game Live-Streaming
Community. In LA-WEB'14: Proceedings
of the Ninth Latin American Web Congress, pages
1–9. IEEE Computer Society, octobre 2014.
Gabriel Poesia et Loïc
Cerf. A
Lossless Data Reduction for Mining Constrained Patterns in
n-ary Relations. In ECML/PKDD'14:
Machine Learning and Knowledge Discovery in Databases -
European Conference, Proceedings, pages
581–596. Springer, septembre
2014. Poster
associé. Taux d'acceptation : 24%.
Loïc Cerf et Wagner Meira
Jr. Complete
Discovery of High-Quality Patterns in Large Numerical
Tensors. In ICDE'14: Proceedings of
the 30th International Conference on Data
Engineering, pages 448–459. IEEE Computer Society,
avril
2014. Poster
associé. Taux d'acceptation : 20%.
Renê R. Veloso, Loïc Cerf, Wagner Meira
Jr., et Mohammed
J. Zaki. Reachability
Queries in Very Large Graphs: A Fast Refined Online Search
Approach. In EDBT'14: Proceedings of
the 17th International Conference on Extending Database
Technology, pages 511–522. OpenProceedings, mars
2014. Taux d'acceptation : 16%. Lauréat
du EDBT
2024 Test of Time Award.
Loïc Cerf, Dominique Gay, Nazha
Selmaoui-Folcher, Bruno Crémilleux, et Jean-François
Boulicaut. Parameter-free
Classification in Multi-Class Imbalanced Data
Sets. Data & Knowledge
Engineering, 87:109–129, septembre 2013.
Israel Guerra, Loïc Cerf, João Foscarini,
Michel Boaventura, et Wagner Meira
Jr. Constraint-Based
Search of Straddling Biclusters and Discriminative
Patterns. Journal of Information and
Data Management, 4(2):114–123, juin 2013.
Loïc Cerf, Jérémy Besson, Kim-Ngan
T. Nguyen, et Jean-François
Boulicaut. Closed
and Noise-Tolerant Patterns in n-ary
Relations. Data Mining and Knowledge
Discovery, 26(3):574–619, mai 2013.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit, et Jean-François
Boulicaut. Discovering
Descriptive Rules in Relational Dynamic
Graphs. Intelligent Data
Analysis, 17(1):49–69, février 2013.
Loïc Cerf, João Foscarini, Israel Guerra,
Michel Boaventura, et Wagner Meira
Jr. Constraint-Based
Search of Different Kinds of Discriminative
Patterns. In FLAIRS'13: Proceedings
of the 26th International Florida Artificial Intelligence
Research Society Conference, pages 414–419. AAAI
Press, mai 2013. Taux d'acceptation : 48%.
Mehdi Kaytoue, Arlei Silva, Loïc Cerf,
Wagner Meira Jr., et Chedy
Raïssi. Watch
me Playing, I am a Professional: a First Study on Video Game
Live Streaming. In WWW'12:
Proceedings of the 21st World Wide Web Conference (Companion
Volume), pages 1180–1188. ACM Press, avril
2012. Compléments. Taux
d'acceptation : 55%.
Israel Guerra, Loïc Cerf, João Foscarini,
Michel Boaventura, et Wagner Meira
Jr. Descoberta
de n-Conjuntos Fechados Eficiente e Restrita a Grupos de
Interesse. In SBBD'12: Proceedings
of the 27th Brazilian Symposium on Databases. SBC,
octobre
2012. Poster
associé. Taux d'acceptation : 43%.
Pedro H. Calais Guerra, Loïc Cerf, Thiago
C. Porto, Adriano Veloso, Wagner Meira Jr., et Virgílio
Almeida. Exploiting
Temporal Locality to Determine User Bias in Microblogging
Platforms. Journal of Information &
Data Management, 2(3):273–288, octobre 2011.
Renê R. Veloso, Loïc Cerf, Chedy Raïssi,
et Wagner Meira
Jr. Distributed
Skycube Computation with
Anthill. In SBAC-PAD'11: Proceedings
of the 23rd International Symposium on Computer Architecture
and High-Performance Computing, pages 33–40. IEEE
Computer Society, octobre 2011. Taux d'acceptation : 34%.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit, et Jean-François
Boulicaut. Multidimensional
Association Rules in Boolean
Tensors. In SDM'11: Proceedings of
the 11th SIAM International Conference on Data
Mining, pages 570–581. SIAM, avril 2011. Taux
d'acceptation : 17%.
Loïc
Cerf. Constraint-Based
Mining of Closed Patterns in Noisy n-ary
Relations. Thèse de doctorat, INSA-Lyon, juillet
2010. Présentation
associée. Parmi les cinq meilleures thèses soumises
au SIGKDD
Doctoral Dissertation Award 2011.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit, et Jean-François
Boulicaut. Discovering
Inter-Dimensional Rules in Dynamic
Graphs. In DyNaK'10: Proceedings of
the First Workshop on Dynamic Networks and Knowledge
Discovery. CEUR Workshop Proceedings, ISSN 1613-0073,
septembre 2010. Taux d'acceptation : 39%.
Kim-Ngan T. Nguyen, Loïc Cerf, et
Jean-François
Boulicaut. Sémantiques
et Calculs de Règles Descriptives dans une Relation
n-aire. In BDA'10 : Actes des 26èmes
Journées Bases de Données Avancées. Octobre 2010.
Dominique Gay, Loïc Cerf, Nazha
Selmaoui-Folcher, et Jean-François
Boulicaut. Un
nouveau cadre de travail pour la classification associative
dans les données aux classes
disproportionnées. In SFC'10 : Actes
des 17èmes Rencontres de la Société Francophone de
Classification, pages 47–50. Presse Académiques, juin
2010.
Loïc Cerf, Tran Bao Nhan Nguyen, et
Jean-François Boulicaut. Inductive
Databases and Queries: Constraint-Based Data Mining,
chapter Mining
Constrained Cross-Graph Cliques in Dynamic Networks,
pages 199–228. Springer, novembre 2010.
Loïc Cerf, Jérémy Besson, Céline
Robardet, et Jean-François
Boulicaut. Closed
Patterns Meet n-ary Relations. ACM
Transactions on Knowledge Discovery from Data,
3(1):1–36, mars 2009.
Loïc Cerf, Pierre-Nicolas Mougel, et
Jean-François
Boulicaut. Agglomerating
Local Patterns Hierarchically
with Alpha. In CIKM'09:
Proceedings of the 18th International Conference on
Information and Knowledge Management, pages
1753–1756. ACM Press, novembre
2009. Poster
associé. Taux d'acceptation : 35%.
Loïc Cerf, Tran Bao Nhan Nguyen, et
Jean-François
Boulicaut. Discovering
Relevant Cross-Graph Cliques in Dynamic
Networks. In ISMIS'09: Proceedings
of the 18th International Symposium on Methodologies for
Intelligent Systems, pages 513–522. Springer,
septembre 2009.
Loïc Cerf, Jérémy Besson, et
Jean-François
Boulicaut. Extraction
de motifs fermés dans des relations n-aires
bruitées. In EGC'09 : Actes des
neuvièmes Journées Extraction et Gestion des
Connaissances, pages 163–168. Cépaduès-Éditions,
janvier 2009. Taux d'acceptation : 38%.
Jérémy Besson, Loïc Cerf, Rémi Thévenoux,
et Jean-François
Boulicaut. Tackling
closed pattern relevancy in n-ary
relations. In MMD'08: Proceedings of
the First International Workshop on Mining Multidimensional
Data, pages 2–16. Septembre 2008. Taux d'acceptation
: 38%.
Loïc Cerf, Dominique Gay, Nazha Selmaoui,
et Jean-François
Boulicaut. A
Parameter-Free Associative Classification
Method. In DaWaK'08: Proceedings of
the Tenth International Conference on Data Warehousing and
Knowledge Discovery, pages 293–304. Springer,
septembre 2008. Taux d'acceptation : 33%.
Loïc Cerf, Jérémy Besson, Céline
Robardet, et Jean-François
Boulicaut. Data-Peeler:
Constraint-Based Closed Pattern Mining in n-ary
Relations. In SDM'08: Proceedings of
the Eighth SIAM International Conference on Data
Mining, pages 37–48. SIAM, avril 2008. Taux
d'acceptation : 14%.
Loïc Cerf, Jérémy Besson, Céline
Robardet, et Jean-François
Boulicaut. Constrained-Based
Closed Pattern Mining in n-ary Relations, avril
2008. SML'08: Spring Workshop on Mining and Learning 2008.
Loïc
Cerf. Mining DistroWatch.com logs
(part 1). Mars 2008. Cet article est d'abord paru sur le
site Web Blue GNU.
Loïc
Cerf. Mining DistroWatch.com logs
(part 2). Mars 2008. Cet article est d'abord paru sur le
site Web Blue GNU.
Yolanda Sanchez-Dehesa, Loïc Cerf, Jose
Maria Pena, Jean-François Boulicaut, et Guillaume
Beslon. Artificial
Regulatory Networks
Evolution. In MLSB'07: Proceedings
of the First International Workshop on Machine Learning for
Systems Biology, pages 47–52. Octobre 2007.
Loïc Cerf, Jérémy Besson, Céline Robardet, et Jean-François
Boulicaut. Extraction d'hyper-rectangles fermés sous
contraintes, juillet 2007. BDI'07 : Atelier Bases de Données
Inductives.