MLIA - Articles de revues

Équipes actuelles :	PEQUAN PolSys RO DECISION SMA MOCAH LFI MLIA BD ACASA ALMASTY DELYS NPA Phare Whisper APR ComplexNetworks MoVe ALSOC CIAN QI SYEL
Anciennes équipes :	SALSA SPIRAL AnimatLab MALIRE SPI REGAL
Anciens thèmes :	ANP APA ASIM CALFOR OASIS RP SPI SRC SYSDEF

Publications MLIA	2013	2014	2015	2016	2017	2018	Total
Livres	0	1	0	0	0	0	1
Éditions de livres	0	0	0	0	0	0	0
Articles de revues	7	6	6	6	5	6	36
Chapitres de livres	1	1	0	2	0	0	4
Conférences	17	19	18	34	14	11	113
Habilitations	0	0	1	0	0	0	1
Thèses	10	3	5	3	7	4	32

Th. Artières, Q. Wang, M. Chen, L. Denoyer : “Adversarial learning for modeling human motion”, Visual Computer, pp. 1-20, (Springer Verlag) [Artières 2018]
M. Blot, D. Picard, N. Thome, M. Cord : “Distributed Optimization for Deep Learning with Gossip Exchange”, Neurocomputing, (Elsevier) [Blot 2018]
L. DOS SANTOS, B. Piwowarski, L. Denoyer, P. Gallinari : “Representation Learning for Classification in Heterogeneous Graphs with Application to Social Networks”, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 12 (5), pp. 1-33, (ACM) [DOS SANTOS 2018]
A. Lopez‑Rincon, A. Tonda, M. Elati, O. Schwander, B. Piwowarski, P. Gallinari : “Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification”, Applied Soft Computing, vol. 65, pp. 91-100, (Elsevier) [Lopez-Rincon 2018]
T. Mordan, N. Thome, G. Henaff, M. Cord : “End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection”, International Journal of Computer Vision, (Springer Verlag) [Mordan 2018a]
W. Zheng, A. Bellet, P. Gallinari : “A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm”, Machine Learning, (Springer Verlag) [Zheng 2018]