Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
PDF e-Pub


Bibliography

Major publications by the team in recent years
[1]
M. Ansdell, Y. Ioannou, H. Osborn, M. Sasdelli, J. Smith, D. Caldwell, J. Jenkins, C. Raïssi, D. Angerhausen.
Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning, in: The Astrophysical Journal Letters, December 2018, vol. 869, no 1, L7 p. [ DOI : 10.3847/2041-8213/aaf23b ]
https://hal.inria.fr/hal-01957950
[2]
M. Atencia, J. David, J. Euzenat, A. Napoli, J. Vizzini.
Link key candidate extraction with relational concept analysis, in: Discrete Applied Mathematics, 2019, pp. 1-19. [ DOI : 10.1016/j.dam.2019.02.012 ]
https://hal.archives-ouvertes.fr/hal-02196757
[3]
A. Bazin, J. Carbonnel, M. Huchard, G. Kahn, P. Keip, A. Ouzerdine.
On-demand Relational Concept Analysis, in: ICFCA: 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, D. Cristea, F. L. Ber, B. Sertkaya (editors), Formal Concept Analysis, Springer International Publishing, 2019, vol. 11511, pp. 155-172. [ DOI : 10.1007/978-3-030-21462-3_11 ]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02092140
[4]
M. Couceiro, N. Hug, H. Prade, G. Richard.
Behavior of Analogical Inference w.r.t. Boolean Functions, in: IJCAI 2018 - 27th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, July 2018, pp. 2057–2063.
https://hal.inria.fr/hal-02139765
[5]
M. Couceiro, E. Lehtonen, P. Mercuriali, R. Péchoux.
On the efficiency of normal form systems for representing Boolean functions, in: Theoretical Computer Science, 2019, forthcoming.
https://hal.inria.fr/hal-02153506
[6]
A. Coulet, N. H. Shah, M. Wack, M. Chawki, N. Jay, M. Dumontier.
Predicting the need for a reduced drug dose, at first prescription, in: Scientific Reports, October 2018, vol. 8, no 1. [ DOI : 10.1038/s41598-018-33980-0 ]
https://hal.inria.fr/hal-01901566
[7]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
Numerical Pattern Mining Through Compression, in: DCC 2019 - 2019 Data Compression Conference, Snowbird, United States, IEEE, March 2019, pp. 112-121.
https://hal.archives-ouvertes.fr/hal-02162927
[8]
J.-F. Mari, A. Gobillot, M. Benoît.
Time Space Simulation of Land Use changes by stochastic modeling, in: Revue Internationale de Géomatique, August 2018, vol. 28, no 2, pp. 219–242.
https://hal.inria.fr/hal-01662140
[9]
P. Monnin, J. Legrand, G. Husson, P. Ringot, A. Tchechmedjiev, C. Jonquet, A. Napoli, A. Coulet.
PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison, in: BMC Bioinformatics, April 2019, vol. 20, no S4. [ DOI : 10.1186/s12859-019-2693-9 ]
https://hal.inria.fr/hal-02103899
[10]
J. Reynaud, Y. Toussaint, A. Napoli.
Using Redescriptions and Formal Concept Analysis for Mining Definitions Linked Data, in: ICFCA 2019 - 15th International Conference on Formal Concept Analysis, Francfort, Germany, June 2019.
https://hal.inria.fr/hal-02170760
Publications of the year

Doctoral Dissertations and Habilitation Theses

[11]
Q. Brabant.
Lattice polynomial functions for interpolation and monotonic classification, Université de Lorraine, January 2019.
https://hal.univ-lorraine.fr/tel-02096400
[12]
A. Coulet.
Mappings between data, texts and knowledge for biomedical knowledge discovery, Université de Lorraine, December 2019, Habilitation à diriger des recherches.
https://hal.inria.fr/tel-02429926
[13]
N. Juniarta.
Mining complex data and biclustering using formal concept analysis, Université de Lorraine, December 2019.
https://hal.inria.fr/tel-02426034
[14]
J. Reynaud.
Mining definitions in the web of data, Université de Lorraine (Nancy), December 2019.
https://hal.inria.fr/tel-02426421

Articles in International Peer-Reviewed Journals

[15]
M. Atencia, J. David, J. Euzenat, A. Napoli, J. Vizzini.
Link key candidate extraction with relational concept analysis, in: Discrete Applied Mathematics, 2019, pp. 1-19. [ DOI : 10.1016/j.dam.2019.02.012 ]
https://hal.archives-ouvertes.fr/hal-02196757
[16]
Q. Brabant, M. Couceiro, J. R. Figueira.
Interpolation by lattice polynomial functions: a polynomial time algorithm, in: Fuzzy Sets and Systems, August 2019, vol. 368, pp. 101-118. [ DOI : 10.1016/j.fss.2018.12.009 ]
https://hal.archives-ouvertes.fr/hal-01958903
[17]
M. Couceiro, J. Devillet.
Every quasitrivial n-ary semigroup is reducible to a semigroup, in: Algebra Universalis, 2019, forthcoming. [ DOI : 10.1007/s00012-019-0626-0 ]
https://hal.inria.fr/hal-02099236
[18]
M. Couceiro, J. Devillet, J.-L. Marichal.
Quasitrivial semigroups: Characterizations and enumerations, in: Semigroup Forum, June 2019, vol. 98, no 3, pp. 472-498. [ DOI : 10.1007/s00233-018-9928-3 ]
https://hal.inria.fr/hal-01826868
[19]
M. Couceiro, E. Lehtonen, P. Mercuriali, R. Péchoux.
On the efficiency of normal form systems for representing Boolean functions, in: Theoretical Computer Science, 2019, forthcoming.
https://hal.inria.fr/hal-02153506
[20]
M. Couceiro, M. Maróti, T. Waldhauser, L. Zadori.
Computing version spaces in the qualitative approach to multicriteria decision aid, in: International Journal of Foundations of Computer Science, February 2019, vol. 30, no 2, pp. 333-353. [ DOI : 10.1142/S0129054119500084 ]
https://hal.inria.fr/hal-01404590
[21]
M. Couceiro, P. Mercuriali, R. Péchoux, A. Saffidine.
On the complexity of minimizing median normal forms of monotone Boolean functions and lattice polynomials, in: Journal of Multiple-Valued Logic and Soft Computing, 2019, vol. 33, no 3, pp. 197-218, forthcoming.
https://hal.inria.fr/hal-01905491
[22]
E. Fimmel, C. C. Michel, F. Pirot, J.-S. Sereni, L. Strüngmann.
Mixed circular codes, in: Mathematical Biosciences, July 2019, vol. 317, 108231 p. [ DOI : 10.1016/j.mbs.2019.108231 ]
https://hal.archives-ouvertes.fr/hal-02188407
[23]
D. Grissa, B. Comte, M. Petera, E. Pujos-Guillot, A. Napoli.
A hybrid and exploratory approach to knowledge discovery in metabolomic data, in: Discrete Applied Mathematics, January 2019, forthcoming. [ DOI : 10.1016/j.dam.2018.11.025 ]
https://hal.inria.fr/hal-02195463
[24]
P. Monnin, J. Legrand, G. Husson, P. Ringot, A. Tchechmedjiev, C. Jonquet, A. Napoli, A. Coulet.
PGxO and PGxLOD: a reconciliation of pharmacogenomic knowledge of various provenances, enabling further comparison, in: BMC Bioinformatics, April 2019, vol. 20, no S4. [ DOI : 10.1186/s12859-019-2693-9 ]
https://hal.inria.fr/hal-02103899
[25]
F. Rodriguez, S. Chung, M. Blum, A. Coulet, S. Basu, L. Palaniappan.
Atherosclerotic Cardiovascular Disease Risk Prediction in Disaggregated Asian and Hispanic Subgroups Using Electronic Health Records, in: Journal of the American Heart Association, July 2019, vol. 8, no 14. [ DOI : 10.1161/JAHA.118.011874 ]
https://hal.inria.fr/hal-02196129

International Conferences with Proceedings

[26]
N. Abbas, J. David, A. Napoli.
Linkex: A Tool for Link Key Discovery Based on Pattern Structures, in: ICFCA 2019 - workshop on Applications and tools of formal concept analysis, Frankfurt, Germany, Proc. ICFCA workshop on Applications and tools of formal concept analysis, 2019, pp. 33-38, abbas2019a.
https://hal.archives-ouvertes.fr/hal-02168775
[27]
G. Alves, M. Couceiro, A. Napoli.
Sélection de mesures de similarité pour les données catégorielles, in: 20ème édition de la conférence Extraction et Gestion des Connaissances (EGC), Bruxelles, Belgium, January 2020.
https://hal.archives-ouvertes.fr/hal-02410221
[28]
A. Bazin, J. Carbonnel, M. Huchard, G. Kahn, P. Keip, A. Ouzerdine.
On-demand Relational Concept Analysis, in: ICFCA: 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, D. Cristea, F. Le Ber, B. Sertkaya (editors), Formal Concept Analysis, Springer International Publishing, 2019, vol. 11511, pp. 155-172. [ DOI : 10.1007/978-3-030-21462-3_11 ]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02092140
[29]
V. Codocedo, J. Baixeries, M. Kaytoue, A. Napoli.
Sampling Representation Contexts with Attribute Exploration, in: 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, D. Cristea, F. Le Ber, B. Sertkaya (editors), Proceedings of the 15th International Conference on Formal Concept Analysis (ICFCA 2019), Springer, May 2019, vol. Lecture Notes in Artificial Intelligence, no 11511, pp. 307-314. [ DOI : 10.1007/978-3-030-21462-3_20 ]
https://hal.inria.fr/hal-02195498
[30]
M. Couceiro, L. Haddad, V. Lagerkvist.
Fine-Grained Complexity of Constraint Satisfaction Problems through Partial Polymorphisms: A Survey (Dedicated to the memory of Professor Ivo Rosenberg), in: ISMVL2019 - IEEE 49th International Symposium on Multiple-Valued Logic, Fredericton, NB, Canada, May 2019.
https://hal.inria.fr/hal-02190089
[31]
M. Couceiro, L. Haddad, M. Pouzet.
The mathematics of Ivo Rosenberg (Dedicated to the memory of Professor Ivo Rosenberg), in: ISMVL2019 - IEEE 49th International Symposium on Multiple-Valued Logic, Fredericton, NB, Canada, May 2019, pp. 43-48.
https://hal.inria.fr/hal-02190088
[32]
M. Couceiro, A. Napoli.
Elements About Exploratory, Knowledge-Based, Hybrid, and Explainable Knowledge Discovery, in: ICFCA 2019 - 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, D. Cristea, F. Le Ber, B. Sertkaya (editors), Proceedings of the 15th International Conference on Formal Concept Analysis, Springer, 2019, vol. Lecture Notes in Artificial Intelligence, no 11511, pp. 3-16. [ DOI : 10.1007/978-3-030-21462-3_1 ]
https://hal.inria.fr/hal-02195480
[33]
L. Huber, Y. Toussaint, C. Roze, M. Dargnat, C. Braud.
Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining, in: 6th International Workshop on Argument Mining, Florence, Italy, Proceedings of the 6th Workshop on Argument Mining, August 2019.
https://hal.archives-ouvertes.fr/hal-02165048
[34]
N. Juniarta, M. Couceiro, A. Napoli.
A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structures, in: DS 2019 - 22nd International Conference on Discovery Science, Split, Croatia, Discovery Science - 22nd International Conference, October 2019.
https://hal.inria.fr/hal-02266200
[35]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
Numerical Pattern Mining Through Compression, in: DCC 2019 - 2019 Data Compression Conference, Snowbird, United States, IEEE, March 2019, pp. 112-121.
https://hal.archives-ouvertes.fr/hal-02162927
[36]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
On Coupling FCA and MDL in Pattern Mining, in: The 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, D. Cristea, F. Le Ber, B. Sertkaya (editors), Springer, May 2019, vol. 11511, pp. 332-340.
https://hal.archives-ouvertes.fr/hal-02162928
[37]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
Pattern Mining through compression: towards to probabilistic models, in: Proceedings of the 17th Russian Conference on Artificial Intelligence, Ulyanovsk, Russia, O. P. Kuznetsov, I. A. Sokolov, S. N. Vasiliev, G. S. Osipov (editors), Proceedings of the 17th Russian Conference on Artificial Intelligence, Yarushkina, Nadezhda G., October 2019, vol. 2, pp. 164-172.
https://hal.archives-ouvertes.fr/hal-02192794
[38]
T. Makhalova, M. Trnecka.
A Study of Boolean Matrix Factorization Under Supervised Settings, in: ICFCA 2019 - The 15th International Conference on Formal Concept Analysis, Frankfurt, Germany, Springer, May 2019, pp. 341-348. [ DOI : 10.1007/978-3-030-21462-3_24 ]
https://hal.archives-ouvertes.fr/hal-02162929
[39]
P. Monnin, C. Raïssi, A. Napoli, A. Coulet.
Knowledge Reconciliation with Graph Convolutional Networks: Preliminary Results, in: DL4KG2019 - Workshop on Deep Learning for Knowledge Graphs, Portoroz, Slovenia, M. Alam, D. Buscaldi, M. Cochez, F. Osborne, D. R. Recupero, H. Sack (editors), June 2019, vol. CEUR Workshop Proceedings, no 2377.
https://hal.inria.fr/hal-02155546
[40]
S. Pfohl, B. Marafino, A. Coulet, F. Rodriguez, L. Palaniappan, N. Shah.
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk, in: AIES '19 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, Honolulu, United States, ACM Press, January 2019, pp. 271-278. [ DOI : 10.1145/3306618.3314278 ]
https://hal.inria.fr/hal-02388730
[41]
J. Reynaud, Y. Toussaint, A. Napoli.
Redescription mining for learning definitions and disjointness axioms in Linked Open Data, in: ICCS 2019 - 24th International Conference on Conceptual Structures, Marburg, Germany, July 2019.
https://hal.inria.fr/hal-02170763
[42]
Best Paper
J. Reynaud, Y. Toussaint, A. Napoli.
Using Redescriptions and Formal Concept Analysis for Mining Definitions Linked Data, in: ICFCA 2019 - 15th International Conference on Formal Concept Analysis, Francfort, Germany, June 2019.
https://hal.inria.fr/hal-02170760

National Conferences with Proceedings

[43]
K. Dalleau, M. Couceiro, M. Smaïl-Tabbone.
Les forêts d'arbres extrêmement aléatoires : utilisation dans un cadre non supervisé, in: EGC 2019 - 19ème Conférence Francophone sur l'Extraction et Gestion des connaissances, Metz, France, Hermann-Éditions, January 2019, vol. RNTI E-35, pp. 395-400.
https://hal.inria.fr/hal-02099532
[44]
L. Huber, Y. Toussaint, C. Roze, M. Dargnat, C. Braud.
Aligning Discourse and Argumentation Structures using Subtrees and Redescription Mining, in: 26èmes Rencontres de la Société Francophone de Classification (SFC), Nancy, France, Actes des 26èmes Rencontres de la Société Francophone de Classification (SFC), September 2019.
https://hal.archives-ouvertes.fr/hal-02266623
[45]
N. Juniarta, M. Couceiro, A. Napoli.
Application des Pattern Structures à la découverte de biclusters à changements de signes cohérents, in: EGC 2019 - 19ème Conférence francophone sur Extraction et Gestion des connaissances, Metz, France, Hermann-Éditions, January 2019, vol. RNTI E-35, pp. 285-290.
https://hal.inria.fr/hal-02099607
[46]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
On Entropy in Pattern Mining, in: SFC 2019 - XXVIe Rencontres de la Société Francophone de Classification, Nancy, France, September 2019.
https://hal.archives-ouvertes.fr/hal-02193296

Conferences without Proceedings

[47]
G. Alves, M. Couceiro, A. Napoli.
Towards a Constrained Clustering Algorithm Selection, in: 26èmes Rencontres de la Société Francophone de Classification, Nancy, France, M. Couceiro, A. Napoli (editors), September 2019, vol. Actes des 26èmes Rencontres de la Société Francophone de Classification.
https://hal.archives-ouvertes.fr/hal-02397436
[48]
T. Makhalova, S. O. Kuznetsov, A. Napoli.
On compression, learning & searching regularity in big data, in: 13es journées scientifiques, Toulon, France, March 2019.
https://hal.archives-ouvertes.fr/hal-02162931
[49]
A. Ouali, N. Juniarta, B. Maigret, A. Napoli.
A Feature Selection Method based on Tree Decomposition of Correlation Graph, in: LEG@ECML-PKDD 2019 - The third International Workshop on Advances in Managing and Mining Large Evolving Graphs, Würzburg, Germany, September 2019.
https://hal.archives-ouvertes.fr/hal-02194229

Scientific Books (or Scientific Book chapters)

[50]
D. Allouche, S. Barbe, S. De Givry, G. Katsirelos, Y. Lebbah, S. Loudni, A. Ouali, T. Schiex, D. Simoncini, M. Zytnicki.
Cost Function Networks to Solve Large Computational Protein Design Problems, in: Operations Research and Simulation in healthcare, M. Masmoudi, B. Jarboui, P. Siarry (editors), Springer, 2019, forthcoming.
https://hal.archives-ouvertes.fr/hal-02177634
[51]
M. Couceiro, D. Dubois, H. Fargier, M. Grabisch, H. Prade, A. Rico.
New directions in ordinal evaluation: Sugeno integrals and beyond, in: New Perspectives in Multiple Criteria Decision Making, M. Doumpos, J. Figueira, S. Greco, C. Zopounidis (editors), Springer, Cham, April 2019.
https://hal.inria.fr/hal-01941776
[52]
N. Juniarta, M. Couceiro, A. Napoli.
Order-preserving Biclustering Based on FCA and Pattern Structures, in: Complex Pattern Mining: New Challenges, Methods and Applications, A. Appice, M. Ceci, C. Loglisci, G. Manco, E. Masciari, Z. W. Ras (editors), Springer Series on Studies in Computational Intelligence, 2019, forthcoming.
https://hal.inria.fr/hal-02181585

Books or Proceedings Editing

[53]
M. Couceiro, A. Napoli (editors)
Société Francophone de Classification (SFC) Actes des 26èmes Rencontres, Actes des 26èmes Rencontres de la Société Francophone de Classification (SFC), 2019, 147 p.
https://hal.inria.fr/hal-02432406
[54]
S. O. Kuznetsov, A. Napoli, S. Rudolph (editors)
Workshop Notes of the Seventh International Workshop "What can FCA do for Artificial Intelligence?", CEUR-WS.org, 2019, vol. CEUR Workshop Proceedings 2529, 87 p.
https://hal.inria.fr/hal-02431335
[55]
W. M. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, V. Kuskova, A. Kutuzov, S. O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. V. Savchenko, E. Tutubalina.
W. M. van der Aalst, V. Batagelj, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. V. Savchenko, E. Tutubalina, D. I. Ignatov, M. Khachay, M. Khachay, V. Kuskova, A. Kutuzov, S. O. Kuznetsov (editors), Analysis of Images, Social Networks and Texts, Lecture Notes in Computer Science, Springer, 2019, vol. 11832, 426 p. [ DOI : 10.1007/978-3-030-37334-4 ]
https://hal.inria.fr/hal-02432920

Other Publications

[56]
M. Alam, T. A. Ghorfi, E. Agrawal, O. Alqawasmeh, A. Annane, C. d'Amato, A. Azzam, A. Berezovskyi, R. Biswas, M. Bonduel, Q. Brabant, C.-i. Bucur, E. Camossi, V. A. Carriero, S. Chari, D. C. Fraga, F. Ciroku, M. Cochez, V. Cutrona, R. Dandan, P. D. P. Jimnez, D. Dess, V. Di Carlo, A. E. A. Djebri, M. Van Erp, F. M. Falakh, A. F. Izquierdo, G. Futia, A. Gangemi, S. Gasperoni, A. Grall, L. Heling, P.-H. Paris, N. Herradi, S. Issa, S. Jozashoori, N. Juniarta, L.-a. Kaffee, I. Keles, P. Khare, V. Kovtun, V. Leone, S. Li, S. Lieber, P. Lisena, T. Makhalova, L. Marinucci, T. Minier, B. Moreau, A. M. Loustaunau, D. Nandini, S. Ozdowska, A. P. De Moura, S. Padhee, G. Palma, V. Presutti, R. Reda, E. Rizza, H. Rosales-mndez, S. Rudolph, H. Sack, L. Sciullo, H. Simanjuntak, C. Stomeo, T. Thanapalasingam, T. Tietz, D. Varanka, M.-E. Vidal, M. Wolowyk, M. Zocholl.
Linked Open Data Validity – A Technical Report from ISWS 2018, April 2019, https://arxiv.org/abs/1903.12554 - working paper or preprint.
https://hal.inria.fr/hal-02087112
[57]
G. Alves, M. Couceiro, A. Napoli.
Similarity Measure Selection for Categorical Data Clustering, December 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02399640
[58]
Q. Brabant, M. Couceiro, D. Dubois, H. Prade, A. Rico.
Learning rule sets and Sugeno integrals for monotonic classification problems, December 2019, working paper or preprint.
https://hal.inria.fr/hal-02427608
[59]
F.-É. Calvier, P. Monnin, M. Boland, P. Jarnot, E. Bresso, M. Smaïl-Tabbone, A. Coulet, C. Bousquet.
Providing Molecular Characterization for Unexplained Adverse Drug Reactions : Podium Abstract, July 2019, Podium Abstract at MedInfo 2019, Lyon, France.
https://hal.inria.fr/hal-02196134
[60]
M. Couceiro, J. Devillet, J.-L. Marichal, P. Mathonet.
Reducibity of n-ary semigroups: from quasitriviality towards idempotency, September 2019, working paper or preprint.
https://hal.inria.fr/hal-02293908
[61]
K. Dalleau, M. Couceiro, M. Smail-Tabbone.
Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs, November 2019, working paper or preprint.
https://hal.inria.fr/hal-02427563
[62]
K. Dalleau, M. Couceiro, M. Smaïl-Tabbone.
Clustering graphs using random trees, September 2019, working paper or preprint.
https://hal.inria.fr/hal-02282207
[63]
K. Dalleau, M. Couceiro, M. Smaïl-Tabbone.
Unsupervised Extra Trees: a stochastic approach to compute similarities in heterogeneous data, January 2019, working paper or preprint.
https://hal.inria.fr/hal-01982232
[64]
E. Fimmel, C. C. Michel, F. Pirot, J.-S. Sereni, L. Strüngmann.
Comma-free Codes Over Finite Alphabets, November 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02376793
[65]
N. Juniarta, V. Codocedo, M. Couceiro, M. Kaytoue, A. Napoli.
D. Cristea, F. Le Ber, R. Missaoui, L. Kwuida, B. Sertkaya (editors), Pattern Structures for Identifying Biclusters with Coherent Sign Changes, Proceedings of the 15th International Conference on Formal Concept Analysis (Supplementary Proceedings), June 2019, ICFCA 2019 - 15th International Conference on Formal Concept Analysis.
https://hal.inria.fr/hal-02166713
[66]
N. Juniarta, M. Couceiro, A. Napoli.
Formal Concept Analysis for Identifying Biclusters with Coherent Sign Changes, July 2019, working paper or preprint.
https://hal.inria.fr/hal-02181600
[67]
P. Monnin.
Discovering and Comparing Relational Knowledge, the Example of Pharmacogenomics, January 2019, Article in Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018).
https://hal.inria.fr/hal-01955424
[68]
F. Pirot, J.-S. Sereni.
Fractional chromatic number, maximum degree and girth, November 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02096426
[69]
a. abboud, A. Lahmadi, M. Rusinowitch, M. Couceiro, A. Bouhoula.
Minimizing Range Rules for Packet Filtering Using a Double Mask Representation, May 2019, IFIP Networking 2019, Poster.
https://hal.inria.fr/hal-02393008
[70]
a. abboud, A. Lahmadi, M. Rusinowitch, M. Couceiro, A. Bouhoula, S. E. H. Awainia, M. Ayadi.
Minimizing Range Rules for Packet Filtering Using Double Mask Representation, April 2019, working paper or preprint.
https://hal.inria.fr/hal-02102225
References in notes
[71]
C. C. Aggarwal, C. Zhai (editors)
Mining Text Data, Springer, 2012.
[72]
F. Baader, D. Calvanese, D. McGuinness, D. Nardi, P. Patel-Schneider (editors)
The Description Logic Handbook, Cambridge University Press, Cambridge, UK, 2003.
[73]
M. Alam, A. Buzmakov, V. Codocedo, A. Napoli.
Mining Definitions from RDF Annotations Using Formal Concept Analysis, in: International Joint Conference in Artificial Intelligence, Buenos Aires, Argentina, Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, July 2015.
https://hal.archives-ouvertes.fr/hal-01186204
[74]
M. Alam, A. Buzmakov, A. Napoli.
Exploratory Knowledge Discovery over Web of Data, in: Discrete Applied Mathematics, 2017, pp. 1-25, forthcoming.
https://hal.inria.fr/hal-01673439
[75]
M. Alam, T. N. N. Le, A. Napoli.
LatViz: A New Practical Tool for Performing Interactive Exploration over Concept Lattices, in: CLA 2016 - Thirteenth International Conference on Concept Lattices and Their Applications, Moscow, Russia, July 2016.
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