2025
Periódico internacional com comitê de revisão
Victor Henrique Silva Ribeiro e Loïc
Cerf. Summarizing
Boolean and Fuzzy Tensors with
Sub-Tensors. Information
Sciences, 719:122489, novembro
2025. Material
suplementar.
PublicaçõesAs publicações para as quais eu contribuí estão listadas abaixo.
Victor Henrique Silva Ribeiro e Loïc
Cerf. Summarizing
Boolean and Fuzzy Tensors with
Sub-Tensors. Information
Sciences, 719:122489, novembro
2025. Material
suplementar.
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,
páginas 369–376. ACM Press, março 2023. Taxa de aceitação
(artigos longos): 16%.
Victor Henrique Silva Ribeiro e Loïc
Cerf. Summarizing
Fuzzy Tensors with
Sub-Tensors. In SAC'23: Proceedings
of the 38th ACM/SIGAPP Symposium On Applied
Computing, páginas 362–364. ACM Press, março
2023. Pôster
associado. Taxa de aceitação (artigos curtos e longos):
24%.
Bernardo Abreu, João Paulo Ataide Martins
e 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, julho 2022.
Lucas Maciel, Jônatas Alves, Vinı́cius
Fernandes dos Santos e Loïc
Cerf. Climbing
the Hill with ILP to Grow Patterns in Fuzzy
Tensors. International Journal of
Computational Intelligence Systems, 13(1):1036–1047,
julho 2020.
Nicolas Nadisic, Aurélien Coussat e Loïc
Cerf. Mining
Skypatterns in Fuzzy Tensors. Data
Mining and Knowledge Discovery, 33(5):1298–1322,
setembro 2019.
Lucas Maciel, Jônatas Alves, Vinı́cius
Fernandes dos Santos e 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,
septembro 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 e Ricardo Andrez
Machado-de-Ávila. Computational
B-Cell Epitope Identification and Production of Neutralizing
Murine Antibodies against
Atroxlysin-I. Scientific
Reports, 8:1–13, outubro 2018.
Aurélien Coussat, Nicolas Nadisic e 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,
páginas 403–412. Elsevier, setembro 2018.
João Vitor Tenório, Loïc Cerf e 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. Novembro
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, páginas 50–57. SBC, outubro 2015. Taxa de
aceitação: 30%.
Gustavo Nascimento, Manoel Ribeiro, Loïc
Cerf, Natália Cesário, Mehdi Kaytoue, Chedy Raïssi, Thiago
Vasconcelos e Wagner Meira
Jr. Modeling
and Analyzing the Video Game Live-Streaming
Community. In LA-WEB'14: Proceedings
of the Ninth Latin American Web Congress, páginas
1–9. IEEE Computer Society, outubro 2014.
Gabriel Poesia e 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, páginas
581–596. Springer, setembro
2014. Pôster
associado. Taxa de aceitação: 24%.
Loïc Cerf e 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, páginas 448–459. IEEE Computer Society,
abril
2014. Pôster
associado. Taxa de aceitação: 20%.
Renê R. Veloso, Loïc Cerf, Wagner Meira
Jr. e 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, páginas 511–522. OpenProceedings, março
2014. Taxa de aceitação: 16%. Ganhador do
EDBT
2024 Test of Time Award.
Loïc Cerf, Dominique Gay, Nazha
Selmaoui-Folcher, Bruno Crémilleux e Jean-François
Boulicaut. Parameter-free
Classification in Multi-Class Imbalanced Data
Sets. Data & Knowledge
Engineering, 87:109–129, setembro 2013.
Israel Guerra, Loïc Cerf, João Foscarini,
Michel Boaventura e Wagner Meira
Jr. Constraint-Based
Search of Straddling Biclusters and Discriminative
Patterns. Journal of Information and
Data Management, 4(2):114–123, junho 2013.
Loïc Cerf, Jérémy Besson, Kim-Ngan
T. Nguyen e Jean-François
Boulicaut. Closed
and Noise-Tolerant Patterns in n-ary
Relations. Data Mining and Knowledge
Discovery, 26(3):574–619, maio 2013.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit e Jean-François
Boulicaut. Discovering
Descriptive Rules in Relational Dynamic
Graphs. Intelligent Data
Analysis, 17(1):49–69, fevereiro 2013.
Loïc Cerf, João Foscarini, Israel Guerra,
Michel Boaventura e 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, páginas 414–419. AAAI
Press, maio 2013. Taxa de aceitação: 48%.
Mehdi Kaytoue, Arlei Silva, Loïc Cerf,
Wagner Meira Jr. e 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), páginas 1180–1188. ACM Press, abril
2012. Material
suplementar. Taxa de aceitação: 55%.
Israel Guerra, Loïc Cerf, João Foscarini,
Michel Boaventura e 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,
outubro
2012. Pôster
associado. Taxa de aceitação: 43%.
Pedro H. Calais Guerra, Loïc Cerf, Thiago
C. Porto, Adriano Veloso, Wagner Meira Jr. e Virgílio
Almeida. Exploiting
Temporal Locality to Determine User Bias in Microblogging
Platforms. Journal of Information &
Data Management, 2(3):273–288, outubro 2011.
Renê R. Veloso, Loïc Cerf, Chedy Raïssi e
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, páginas 33–40. IEEE
Computer Society, outubro 2011. Taxa de aceitação: 34%.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit e Jean-François
Boulicaut. Multidimensional
Association Rules in Boolean
Tensors. In SDM'11: Proceedings of
the 11th SIAM International Conference on Data
Mining, páginas 570–581. SIAM, abril 2011. Taxa de
aceitação: 17%.
Loïc
Cerf. Constraint-Based
Mining of Closed Patterns in Noisy n-ary
Relations. Tese de doutorado, INSA-Lyon, julho
2010. Apresentação
associada. Entre as cinco melhores teses submetidas
ao SIGKDD
Doctoral Dissertation Award 2011.
Kim-Ngan T. Nguyen, Loïc Cerf, Marc
Plantevit e 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,
setembro 2010. Taxa de aceitação: 39%.
Kim-Ngan T. Nguyen, Loïc Cerf e
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. Outubro 2010.
Dominique Gay, Loïc Cerf, Nazha
Selmaoui-Folcher e 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, páginas 47–50. Presse Académiques,
junho 2010.
Loïc Cerf, Tran Bao Nhan Nguyen e
Jean-François Boulicaut. Inductive
Databases and Queries: Constraint-Based Data Mining,
chapter Mining
Constrained Cross-Graph Cliques in Dynamic Networks,
páginas 199–228. Springer, novembro 2010.
Loïc Cerf, Jérémy Besson, Céline Robardet
e Jean-François
Boulicaut. Closed
Patterns Meet n-ary Relations. ACM
Transactions on Knowledge Discovery from Data,
3(1):1–36, março 2009.
Loïc Cerf, Pierre-Nicolas Mougel e
Jean-François
Boulicaut. Agglomerating
Local Patterns Hierarchically
with Alpha. In CIKM'09:
Proceedings of the 18th International Conference on
Information and Knowledge Management, páginas
1753–1756. ACM Press, novembro
2009. Pôster
associado. Taxa de aceitação: 35%.
Loïc Cerf, Tran Bao Nhan Nguyen e
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, páginas 513–522. Springer,
setembro 2009.
Loïc Cerf, Jérémy Besson e 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, páginas 163–168. Cépaduès-Éditions,
janeiro 2009. Taxa de aceitação: 38%.
Jérémy Besson, Loïc Cerf, Rémi Thévenoux e
Jean-François
Boulicaut. Tackling
closed pattern relevancy in n-ary
relations. In MMD'08: Proceedings of
the First International Workshop on Mining Multidimensional
Data, páginas 2–16. Setembro 2008. Taxa de aceitação:
38%.
Loïc Cerf, Dominique Gay, Nazha Selmaoui e
Jean-François
Boulicaut. A
Parameter-Free Associative Classification
Method. In DaWaK'08: Proceedings of
the Tenth International Conference on Data Warehousing and
Knowledge Discovery, páginas 293–304. Springer,
setembro 2008. Taxa de aceitação: 33%.
Loïc Cerf, Jérémy Besson, Céline Robardet
e 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, páginas 37–48. SIAM, abril 2008. Taxa de
aceitação: 14%.
Loïc Cerf, Jérémy Besson, Céline Robardet
e Jean-François
Boulicaut. Constrained-Based
Closed Pattern Mining in n-ary Relations, abril
2008. SML'08: Spring Workshop on Mining and Learning 2008.
Loïc
Cerf. Mining DistroWatch.com logs
(part 1). Março 2008. Inicialmente, este artigo foi
publicado no site Blue GNU.
Loïc
Cerf. Mining DistroWatch.com logs
(part 2). Março 2008. Inicialmente, este artigo foi
publicado no site Blue GNU.
Yolanda Sanchez-Dehesa, Loïc Cerf, Jose
Maria Pena, Jean-François Boulicaut e Guillaume
Beslon. Artificial
Regulatory Networks
Evolution. In MLSB'07: Proceedings
of the First International Workshop on Machine Learning for
Systems Biology, páginas 47–52. Outubro 2007.
Loïc Cerf, Jérémy Besson, Céline Robardet e Jean-François
Boulicaut. Extraction d'hyper-rectangles fermés sous
contraintes, July 2007. BDI'07 : Atelier Bases de Données
Inductives.