Bibliography

Major publications by the team in recent years

• 1M. Gebser, T. Guyet, R. Quiniou, J. Romero, T. Schaub.
  
  Knowledge-based Sequence Mining with ASP, in: IJCAI 2016- 25th International joint conference on artificial intelligence, New-york, United States, AAAI, July 2016, 8 p.
  
  https://hal.inria.fr/hal-01327363
• 2A. Siffer, P.-A. Fouque, A. Termier, C. Largouët.
  
  Anomaly Detection in Streams with Extreme Value Theory, in: KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Canada, August 2017. [ DOI : 10.1145/3097983.3098144 ]
  
  https://hal.archives-ouvertes.fr/hal-01640325

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 3C. Gautrais.
  
  Signatures : detecting and characterizing complex recurrent behavior in sequential data, Université Rennes 1, October 2018.
  
  https://tel.archives-ouvertes.fr/tel-01984629

Articles in International Peer-Reviewed Journals

• 4J. Davis, B. Bringmann, E. Fromont, D. Greene.
  
  Guest editors introduction to the special issue for the ECML PKDD 2018 journal track, in: Machine Learning, September 2018, vol. 107, n^o 8-10, pp. 1207-1208. [ DOI : 10.1007/s10994-018-5745-x ]
  
  https://hal.archives-ouvertes.fr/hal-01952495
• 5E. Drezen, T. Guyet, A. Happe.
  
  From medico-administrative databases analysis to care trajectories analytics: an example with the French SNDS, in: Fundamental and Clinical Pharmacology, 2018, vol. 32, n^o 1, pp. 78–80. [ DOI : 10.1111/fcp.12323 ]
  
  https://hal.inria.fr/hal-01631802
• 6K. Fauvel, V. Masson, P. Faverdin, A. Termier.
  
  Data Science Techniques for Sustainable Dairy Management, in: ERCIM News, April 2018, vol. 113, pp. 29-30.
  
  https://hal.archives-ouvertes.fr/hal-01951807
• 7D. Greene, B. Bringmann, E. Fromont, J. Davis.
  
  Introduction to the special issue for the ECML PKDD 2018 journal track, in: Data Mining and Knowledge Discovery, September 2018, vol. 32, n^o 5, pp. 1177-1178. [ DOI : 10.1007/s10618-018-0586-6 ]
  
  https://hal.archives-ouvertes.fr/hal-01952487
• 8G. Metzler, X. Badiche, B. Belkasmi, E. Fromont, A. Habrard, M. Sebban.
  
  Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees, in: Pattern Recognition Letters, September 2018, vol. 112, pp. 310-316. [ DOI : 10.1016/j.patrec.2018.08.016 ]
  
  https://hal.archives-ouvertes.fr/hal-01878830

International Conferences with Proceedings

• 9L. Galárraga, K. Ahlstrøm, K. Hose, T. B. Pedersen.
  
  Answering Provenance-Aware Queries on RDF Data Cubes under Memory Budgets, in: ISWC 2018 - 17th International Semantic Web Conference, Monterey, United States, LNCS, Springer, October 2018, vol. 11136, pp. 547-565. [ DOI : 10.1007/978-3-030-00671-6_32 ]
  
  https://hal.inria.fr/hal-01931333
• 10M. Gueguen, O. Sentieys, A. Termier.
  
  Accelerating Itemset Sampling using Satisfiability Constraints on FPGA, in: DATE 2019 - IEEE/ACM Design, Automation and Test in Europe, Florence, Italy, March 2019, pp. 1-6.
  
  https://hal.inria.fr/hal-01941862
• 11S. Kelly.
  
  A Communication Model that Bridges Knowledge Delivery between Data Miners and Domain Users, in: HICSS 2018 - 51th Hawaii International Conference on System Sciences, Hawaii, United States, January 2018, pp. 192-198.
  
  https://hal.archives-ouvertes.fr/hal-01651737
• 12C. Leverger, V. Lemaire, S. Malinowski, T. Guyet, L. Rozé.
  
  Day-ahead time series forecasting: application to capacity planning, in: AALTD'18 at ECML 2018, Dublin, Ireland, September 2018, https://arxiv.org/abs/1811.02215.
  
  https://hal.inria.fr/hal-01912002
• 13A. Siffer, P.-A. Fouque, A. Termier, C. Largouët.
  
  Are your data gathered? The Folding Test of Unimodality, in: KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Minin, London, United Kingdom, August 2018, pp. 2210-2218. [ DOI : 10.1145/3219819.3219994 ]
  
  https://hal.archives-ouvertes.fr/hal-01951676
• 14K. Tsesmeli, M. Boumghar, T. Guyet, R. Quiniou, L. Pierre.
  
  Fouille de motifs temporels négatifs, in: EGC 2018 - 18ème Conférence Internationale sur l'Extraction et la Gestion des Connaissances, Paris, France, January 2018, pp. 263-268.
  
  https://hal.inria.fr/hal-01657540

National Conferences with Proceedings

• 15C. Leverger, R. Marguerie, V. Lemaire, T. Guyet, S. Malinowski.
  
  PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire, in: EGC 2018 - Conférence Extraction et Gestion des Connaissances, Paris, France, vol. RNTI, January 2018, vol. E, n^o 34, pp. 455-458.
  
  https://hal.inria.fr/hal-01911243

Conferences without Proceedings

• 16K. Bascol, R. Emonet, E. Fromont, A. Habrard, G. Metzler, M. Sebban.
  
  Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication, in: Conférence pour l'Apprentissage Automatique, Saint-Etienne du Rouvray, France, June 2018.
  
  https://hal.archives-ouvertes.fr/hal-01803183
• 17Y. Dauxais, C. Gautrais.
  
  Predicting Pass Receiver In Football Using Distance Based Features, in: 5th Workshop on Machine Learning and Data Mining for Sports Analytic of ECML/PKDD, Dublin, Ireland, September 2018.
  
  https://hal.archives-ouvertes.fr/hal-01912616
• 18E. Galbrun, P. Cellier, N. Tatti, A. Termier, B. Crémilleux.
  
  Mining Periodic Patterns with a MDL Criterion, in: ECML/PKDD 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland, September 2018, pp. 1-16.
  
  https://hal.archives-ouvertes.fr/hal-01951722
• 19R. Gauthier, F. Guay, L. Brossard, C. Largouët, J.-Y. Dourmad.
  
  Precision feeding of lactacting sows: development of a decision support tool to handle variability, in: EAAP 2018 - 69th Annual Meeting of the European Federation of Animal Science, Dubrovnik, Croatia, Book of Abstracts of the 69th Annual Meeting of the European Federation of Animal Science, Wageningen Academic Publishers, August 2018, vol. 24.
  
  https://hal.archives-ouvertes.fr/hal-01949645
• 20G. Metzler, X. Badiche, B. Belkasmi, E. Fromont, A. Habrard, M. Sebban.
  
  Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data, in: IDA 2018 - 17th International Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, Netherlands, LNCS, Springer, October 2018, vol. 11191, pp. 213-224. [ DOI : 10.1007/978-3-030-01768-2_18 ]
  
  https://hal.archives-ouvertes.fr/hal-01895967

Scientific Books (or Scientific Book chapters)

• 21Y. Dauxais, D. Gross-Amblard, T. Guyet, A. Happe.
  
  Discriminant chronicle mining, in: Advances in Knowledge Discovery and Management (Vol. 8), 2018, pp. 1-30.
  
  https://hal.inria.fr/hal-01940146

Other Publications

• 22P. Besnard, T. Guyet, V. Masson.
  
  Admissible Generalizations of Examples as Rules, October 2018, pp. 1-29, One-day Workshop on Machine Learning and Explainability 2018.
  
  https://hal.inria.fr/hal-01940129
• 23R. Gauthier, F. Guay, L. Brossard, C. Largouët, J.-Y. Dourmad.
  
  Développement d’un outil de prévision des besoins nutritionnels des truies en lactation. Application à l’alimentation de précision, April 2018, 1 p, Journées d’animation scientifiques du département Phase, Poster.
  
  https://hal.archives-ouvertes.fr/hal-01949603
• 24T. Guyet, R. Quiniou.
  
  NegPSpan: efficient extraction of negative sequential patterns with embedding constraints, July 2018, https://arxiv.org/abs/1804.01256 - working paper or preprint.
  
  https://hal.inria.fr/hal-01743975

References in notes

• 25S. 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, n^o 10, pp. 979–988.
• 26Y. 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
• 27Y. 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
• 28R. 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, n^o 5, pp. 93:1–93:42.
• 29G. 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, n^o 6, pp. 411 - 417.
• 30E. 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, n^o 49, e2229 p.
• 31S. A. P. Parambath, N. Usunier, Y. Grandvalet.
  
  Optimizing F-measures by Cost-sensitive Classification, in: Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 2, Cambridge, MA, USA, NIPS'14, MIT Press, 2014, pp. 2123–2131.
  
  http://dl.acm.org/citation.cfm?id=2969033.2969064
• 32E. 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, n^o 11, pp. 1161–1169.