Lamiae Azizi

According to our database, Lamiae Azizi authored at least 16 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Quantifying neural network uncertainty under volatility clustering.

Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi

Neurocomputing, 2025

2023

Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data.

Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi

J. Comput. Graph. Stat., April, 2023

2022

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

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

Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data.

Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi

CoRR, 2021

Hierarchical probabilistic model for blind source separation via Legendre transformation.

Simon Luo, Lamiae Azizi, Mahito Sugiyama

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Supervised Temporal Autoencoder for Stock Return Time-series Forecasting.

Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

2020

Variational nonparametric discriminant analysis.

Weichang Yu, Lamiae Azizi, John T. Ormerod

Comput. Stat. Data Anal., 2020

Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes.

Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama

CoRR, 2020

Non-stationary neural network for stock return prediction.

Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu

CoRR, 2020

2019

Novel semi-metrics for multivariate change point analysis and anomaly detection.

Nick James, Max Menzies, Lamiae Azizi, Jennifer Chan

CoRR, 2019

Micro, Meso, Macro: the effect of triangles on communities in networks.

Sophie Wharrie, Lamiae Azizi, Eduardo G. Altmann

CoRR, 2019

2017

Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction.

Rohitash Chandra, Lamiae Azizi, Sally Cripps

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2014

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

2013

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

2009

Le logiciel SpaCEM3 pour la classification de données complexes.

Juliette Blanchet, Florence Forbes, Sophie Chopart, Lamiae Azizi

Monde des Util. Anal. Données, 2009