MLIA - Artículos de revistas

equipos actuales :	ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MLIA MOCAH MoVe NPA PEQUAN Phare PolSys QI RO SMA SYEL Whisper
Antiguos equipos :	AnimatLab MALIRE REGAL SALSA SPI SPIRAL
Antiguos temas de investigación :	ANP APA ASIM CALFOR OASIS RP SPI SRC SYSDEF

Publicaciones MLIA	2014	2015	2016	2017	2018	2019	Total
Libros	1	0	0	0	0	0	1
Libros editados	0	0	0	0	1	1	2
Artículos de revistas	6	6	6	5	9	6	38
Capítulos de libros	1	0	2	0	0	0	3
Documentos de conferencias	19	18	34	19	27	24	141
Habilitaciones	0	1	0	0	0	0	1
Tesis	3	5	3	7	4	8	30

LIP6

R. Cancelliere, M. Gai, P. Gallinari, L. Rubini : “OCReP: An Optimally Conditioned Regularization for pseudoinversion based neural training”, Neural Networks, vol. 71, pp. 76-87, (Elsevier) [Cancelliere 2015]
Th. Gisselbrecht, L. Denoyer, P. Gallinari, S. Lamprier : “Apprentissage en temps réel pour la collecte d'information dans les réseaux sociaux”, Revue des Sciences et Technologies de l'Information - Série Document Numérique, vol. 18 (2-3), pp. 39-58 [Gisselbrecht 2015a]
R. Horincar, B. Amann, Th. Artières : “Online refresh strategies for content based feed aggregation”, World Wide Web, vol. 18 (4), pp. 913-947, (ISBN: 1386-145X) [Horincar 2015]
S. Lamprier, N. Baskiotis, T. Ziadi, L. Hillah : “The CARE Platform for the Analysis of Behavior Model Inference Techniques”, Information and Software Technology, vol. 60, pp. 32-50, (ISBN: 0950-5849) [Lamprier 2015a]
G. Tsatsaronis, G. Balikas, P. Malakasiotis, I. Partalas, M. Zschunke, M. Alvers, D. Weissenborn, A. Krithara, S. Petridis, D. Polychronopoulos, Y. Almirantis, J. Pavlopoulos, N. Baskiotis, P. Gallinari, Th. Artières, A.‑C. Ngonga Ngomo, N. Heino, E. Gaussier, L. Barrio‑Alvers, M. Schroeder, I. Androutsopoulos, G. Paliouras : “An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition”, BMC Bioinformatics, vol. 16 (1), pp. 138, (BioMed Central) [Tsatsaronis 2015]
Y. Zhao, Sh. Gao, P. Gallinari, J. Guo : “Knowledge base completion by learning pairwise-interaction differentiated embeddings”, Data Min. Knowl. Discov., vol. 29 (5), pp. 1486-1504 [Zhao 2015]