Le logiciel SpaCEM3 pour la classification de données complexes. - Juliette Blanchet; Florence Forbes; Sophie Chopart; Lamiae Azizi (Monde des Util. Anal. Données, 2009)

On the difficulty to delimit disease risk hot spots. - M. Charras-Garrido; Lamiae Azizi; Florence Forbes; Senan Doyle; Nathalie Peyrard; D. Abrial (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets. - Jean-Baptiste Pettit; Raju Tomer; Kaia Achim; Sylvia Richardson; Lamiae Azizi; John C. Marioni (PLoS Comput. Biol., 2014)

Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction. - Rohitash Chandra; Lamiae Azizi; Sally Cripps (ICONIP (5), 2017)

Micro, Meso, Macro: the effect of triangles on communities in networks. - Sophie Wharrie; Lamiae Azizi; Eduardo G. Altmann (CoRR, 2019)

Novel semi-metrics for multivariate change point analysis and anomaly detection. - Nick James; Max Menzies; Lamiae Azizi; Jennifer Chan (CoRR, 2019)

Non-stationary neural network for stock return prediction. - Steven Y. K. Wong; Jennifer S. K. Chan; Lamiae Azizi; Richard Y. D. Xu (CoRR, 2020)

Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. - Simon Luo; Feng Zhou 011; Lamiae Azizi; Mahito Sugiyama (CoRR, 2020)

Variational nonparametric discriminant analysis. - Weichang Yu 001; Lamiae Azizi; John T. Ormerod (Comput. Stat. Data Anal., 2020)

Supervised Temporal Autoencoder for Stock Return Time-series Forecasting. - Steven Y. K. Wong; Jennifer S. K. Chan; Lamiae Azizi; Richard Y. D. Xu (COMPSAC, 2021)

Hierarchical probabilistic model for blind source separation via Legendre transformation. - Simon Luo; Lamiae Azizi; Mahito Sugiyama (UAI, 2021)

Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. - Weichang Yu 001; Sara Wade; Howard D. Bondell; Lamiae Azizi (CoRR, 2021)

Multilayer networks for text analysis with multiple data types. - Charles C. Hyland; Yuanming Tao; Lamiae Azizi; Martin Gerlach; Tiago P. Peixoto; Eduardo G. Altmann (EPJ Data Sci., 2021)

Time-varying neural network for stock return prediction. - Steven Y. K. Wong; Jennifer S. K. Chan; Lamiae Azizi; Richard Y. D. Xu (Intell. Syst. Account. Finance Manag., 2022)

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. - Weichang Yu 001; Sara Wade; Howard D. Bondell; Lamiae Azizi (J. Comput. Graph. Stat., 2023)

Quantifying neural network uncertainty under volatility clustering. - Steven Y. K. Wong; Jennifer S. K. Chan; Lamiae Azizi (Neurocomputing, 2025)