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
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Bibliography

Major publications by the team in recent years
[1]
K. Fauvel, V. Masson, E. Fromont, P. Faverdin, A. Termier.
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection, in: KDD 2019 - ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, United States, 25th SIGKDD Conference on Knowledge Discovery and Data Mining proceedings, August 2019, pp. 1-9. [ DOI : 10.1145/3292500.3330712 ]
https://hal.archives-ouvertes.fr/hal-02190790
[2]
E. Galbrun, P. Cellier, N. Tatti, A. Termier, B. Crémilleux.
Mining Periodic Patterns with a MDL Criterion, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Dublin, Ireland, 2018.
https://hal.archives-ouvertes.fr/hal-01951722
Publications of the year

Doctoral Dissertations and Habilitation Theses

[3]
C. Largouët.
Artificial Intelligence for decision support in dynamic systems: Diagnosis, Prediction, Recommendation of actions, Université de Rennes 1, December 2019, Habilitation à diriger des recherches.
https://hal.inria.fr/tel-02437159

Articles in International Peer-Reviewed Journals

[4]
A. Ayadi, A. Samet, F. d. B. de Beuvron, C. Zanni-Merk.
Ontology population with deep learning-based NLP: a case study on the Biomolecular Network Ontology, in: Procedia Computer Science, 2019, vol. 159, pp. 572-581. [ DOI : 10.1016/j.procs.2019.09.212 ]
https://hal.archives-ouvertes.fr/hal-02357839
[5]
R. Gauthier, C. Largouët, C. Gaillard, L. Cloutier, F. Guay, J.-Y. Dourmad.
Dynamic modeling of nutrient use and individual requirements of lactating sows, in: Journal of Animal Science, May 2019, vol. 97, no 7, pp. 2822–2836. [ DOI : 10.1093/jas/skz167 ]
https://hal.archives-ouvertes.fr/hal-02142870

International Conferences with Proceedings

[6]
J. Bakalara, T. Guyet, O. Dameron, E. Oger, A. Happe.
Temporal models of care sequences for the exploration of medico-administrative data, in: 2019 - Workshop IA&Santé, PFIA, Toulouse, France, July 2019, pp. 1-8.
https://hal.archives-ouvertes.fr/hal-02265743
[7]
K. Bascol, R. Emonet, E. Fromont, A. Habrard, G. Metzler, M. Sebban.
From Cost-Sensitive Classification to Tight F-measure Bounds, in: AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, The 22nd International Conference on Artificial Intelligence and Statistics, April 2019, vol. 89, no 1, pp. 1245-1253.
https://hal.archives-ouvertes.fr/hal-02049763
[8]
P. Besnard, T. Guyet, V. Masson.
Admissible Generalizations of Examples as Rules, in: ICTAI 2019 - 31st International Conference on Tools with Artificial Intelligence, Portland, United States, November 2019, pp. 1480-1485.
https://hal.inria.fr/hal-02267166
[9]
M. Gueguen, O. Sentieys, A. Termier.
Accelerating Itemset Sampling using Satisfiability Constraints on FPGA, in: DATE 2019 - 22nd IEEE/ACM Design, Automation and Test in Europe, Florence, Italy, IEEE, March 2019, pp. 1046-1051. [ DOI : 10.23919/DATE.2019.8714932 ]
https://hal.inria.fr/hal-01941862
[10]
C. Leverger, S. Malinowski, T. Guyet, V. Lemaire, A. Bondu, A. Termier.
Toward a Framework for Seasonal Time Series Forecasting Using Clustering, in: IDEAL 2019, Manchester, United Kingdom, October 2019, pp. 328-340. [ DOI : 10.1007/978-3-030-33607-3_36 ]
https://hal.inria.fr/hal-02371221
[11]
W. Ugarte, S. Loudni, P. Boizumault, B. Crémilleux, A. Termier.
Compressing and Querying Skypattern Cubes, in: IEA/AIE-2019 - 32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Graz, Austria, Advances and Trends in Artificial Intelligence. From Theory to Practice 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings, Springer, July 2019, pp. 406-421. [ DOI : 10.1007/978-3-030-22999-3_36 ]
https://hal.archives-ouvertes.fr/hal-02190788

National Conferences with Proceedings

[12]
R. Gauthier, C. Largouët, C. Gaillard, L. Cloutier, F. Guay, J.-Y. Dourmad.
Dynamic modelling of nutrient use and individual requirements in lactating sows, in: JRP 2019 - 51èmes Journées de la Recherche Porcine, Paris, France, IFIP - Institut du Porc, 2019, pp. 117-122.
https://hal.archives-ouvertes.fr/hal-02010788
[13]
T. Guyet, P. Besnard, A. Samet, N. Ben Salha, N. Lachiche.
Énumération des occurrences d'une chronique, in: EGC 2020 - 20ème édition de la Conférence Extraction et Gestion des Connaissances, Bruxelles, Belgium, January 2020, pp. 1-8.
https://hal.inria.fr/hal-02422796
[14]
T. Guyet.
Semantic(s) of negative sequential patterns, in: JIAF 2019 - 13èmes Journées d'Intelligence Artificielle Fondamentale, Toulouse, France, July 2019, pp. 1-10.
https://hal.inria.fr/hal-02188501

Conferences without Proceedings

[15]
J. Bakalara.
Temporal models of care sequences for the exploration of medico-administrative data, in: AIME 2019 - 17th Conference on Artificial Intelligence in Medicine, Poznan, Poland, June 2019, pp. 1-7.
https://hal.archives-ouvertes.fr/hal-02265731
[16]
K. Bascol, R. Emonet, E. Fromont.
Improving Domain Adaptation By Source Selection, in: ICIP 2019 - IEEE International Conference on Image Processing, Taïpei, Taiwan, IEEE, September 2019. [ DOI : 10.1109/ICIP.2019.8803325 ]
https://hal.archives-ouvertes.fr/hal-02136378
[17]
K. Fauvel, V. Masson, E. Fromont, P. Faverdin, A. Termier.
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection, in: KDD 2019 - ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Anchorage, United States, 25th SIGKDD Conference on Knowledge Discovery and Data Mining proceedings, August 2019, pp. 1-9. [ DOI : 10.1145/3292500.3330712 ]
https://hal.archives-ouvertes.fr/hal-02190790
[18]
H. S. Pham, G. Virlet, D. Lavenier, A. Termier.
Statistically Significant Discriminative Patterns Searching, in: DaWaK 2019 - 21st International Conference on Big Data Analytics and Knowledge Discovery, Linz, Austria, Springer, August 2019, pp. 105-115. [ DOI : 10.1007/978-3-030-27520-4_8 ]
https://hal.archives-ouvertes.fr/hal-02190793
[19]
Y. Wang, R. Emonet, E. Fromont, S. Malinowski, E. Menager, L. Mosser, R. Tavenard.
Classification de séries temporelles basée sur des "shapelets" interprétables par réseaux de neurones antagonistes, in: CAp 2019 - Conférence sur l'Apprentissage automatique, Toulouse, France, July 2019, pp. 1-2.
https://hal.archives-ouvertes.fr/hal-02268004

Scientific Books (or Scientific Book chapters)

[20]
Y. Dauxais, D. Gross-Amblard, T. Guyet, A. Happe.
Discriminant chronicle mining, in: Advances in Knowledge Discovery and Management (vol 8), B. Pinaud, F. Guillet, F. Gandon, C. Largeron (editors), Advances in Knowledge Discovery and Management, Springer, Cham, June 2019, pp. 89–118. [ DOI : 10.1007/978-3-030-18129-1_5 ]
https://hal.inria.fr/hal-01940146

Other Publications

[21]
K. Fauvel, D. Balouek-Thomert, D. Melgar, P. Silva, A. Simonet, G. Antoniu, A. Costan, V. Masson, M. Parashar, I. Rodero, A. Termier.
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning, November 2019, working paper or preprint.
https://hal.archives-ouvertes.fr/hal-02373429
References in notes
[22]
P. Clark, T. Niblett.
The CN2 Induction Algorithm, in: Mach. Learn., March 1989, vol. 3, no 4, pp. 261–283.
https://doi.org/10.1023/A:1022641700528
[23]
S. Colas, C. Collin, P. Piriou, M. Zureik.
Association between total hip replacement characteristics and 3-year prosthetic survivorship: A population-based study, in: JAMA Surgery, 2015, vol. 150, no 10, pp. 979–988.
[24]
Y. Dauxais, D. Gross-Amblard, T. Guyet, A. Happe.
Extraction de chroniques discriminantes, in: Extraction et Gestion des Connaissances (EGC), Grenoble, France, January 2017.
https://hal.inria.fr/hal-01413473
[25]
Y. Dauxais, T. Guyet, D. Gross-Amblard, A. Happe.
Discriminant chronicles mining: Application to care pathways analytics, in: Artificial Intelligence in Medicine, Vienna, Austria, 16th Conference on Artificial Intelligence in Medicine, June 2017. [ DOI : 10.1007/978-3-319-59758-4₂6 ]
https://hal.archives-ouvertes.fr/hal-01568929
[26]
M. Feurer, A. Klein, K. Eggensperger, J. Springenberg, M. Blum, F. Hutter.
Efficient and Robust Automated Machine Learning, in: Advances in Neural Information Processing Systems 28, C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, R. Garnett (editors), Curran Associates, Inc., 2015, pp. 2962–2970.
http://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning.pdf
[27]
R. Guidotti, A. Monreale, S. Ruggieri, F. Turini, F. Giannotti, D. Pedreschi.
A Survey of Methods for Explaining Black Box Models, in: ACM Computing Surveys, 2018, vol. 51, no 5, pp. 93:1–93:42.
[28]
T. Kulesza, S. Stumpf, M. M. Burnett, S. Yang, I. Kwan, W.-K. Wong.
Too much, too little, or just right? Ways explanations impact end users' mental models, in: 2013 IEEE Symposium on Visual Languages and Human Centric Computing, 2013, pp. 3-10.
[29]
G. Moulis, M. Lapeyre-Mestre, A. Palmaro, G. Pugnet, J.-L. Montastruc, L. Sailler.
French health insurance databases: What interest for medical research?, in: La Revue de Médecine Interne, 2015, vol. 36, no 6, pp. 411 - 417.
[30]
E. Nowak, A. Happe, J. Bouget, F. Paillard, C. Vigneau, P.-Y. Scarabin, E. Oger.
Safety of Fixed Dose of Antihypertensive Drug Combinations Compared to (Single Pill) Free-Combinations: A Nested Matched Case–Control Analysis, in: Medicine, 2015, vol. 94, no 49, e2229 p.
[31]
E. Polard, E. Nowak, A. Happe, A. Biraben, E. Oger.
Brand name to generic substitution of antiepileptic drugs does not lead to seizure-related hospitalization: a population-based case-crossover study, in: Pharmacoepidemiology and drug safety, 2015, vol. 24, no 11, pp. 1161–1169.