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2020 – today
- 2025
[j8]Steven Y. K. Wong
, Jennifer S. K. Chan, Lamiae Azizi:
Quantifying neural network uncertainty under volatility clustering. Neurocomputing 614: 128816 (2025)- 2023
- [j7]Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi:
Nonstationary Gaussian Process Discriminant Analysis With Variable Selection for High-Dimensional Functional Data. J. Comput. Graph. Stat. 32(2): 588-600 (2023) - 2022
- [j6]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Time-varying neural network for stock return prediction. Intell. Syst. Account. Finance Manag. 29(1): 3-18 (2022) - 2021
- [j5]Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann:
Multilayer networks for text analysis with multiple data types. EPJ Data Sci. 10(1): 33 (2021) - [c3]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Supervised Temporal Autoencoder for Stock Return Time-series Forecasting. COMPSAC 2021: 1735-1741 - [c2]Simon Luo, Lamiae Azizi, Mahito Sugiyama:
Hierarchical probabilistic model for blind source separation via Legendre transformation. UAI 2021: 312-321 - [i7]Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann:
Multilayer Networks for Text Analysis with Multiple Data Types. CoRR abs/2106.15821 (2021) - [i6]Weichang Yu, Sara Wade, Howard D. Bondell, Lamiae Azizi:
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data. CoRR abs/2109.14171 (2021) - 2020
- [j4]Weichang Yu, Lamiae Azizi, John T. Ormerod:
Variational nonparametric discriminant analysis. Comput. Stat. Data Anal. 142 (2020) - [i5]Steven Y. K. Wong, Jennifer S. K. Chan, Lamiae Azizi, Richard Y. D. Xu:
Non-stationary neural network for stock return prediction. CoRR abs/2003.02515 (2020) - [i4]Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama:
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes. CoRR abs/2006.08982 (2020)
2010 – 2019
- 2019
- [i3]Sophie Wharrie, Lamiae Azizi, Eduardo G. Altmann:
Micro, Meso, Macro: the effect of triangles on communities in networks. CoRR abs/1907.06361 (2019) - [i2]Simon Luo, Lamiae Azizi, Mahito Sugiyama:
Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation. CoRR abs/1909.11294 (2019) - [i1]Nick James, Max Menzies, Lamiae Azizi, Jennifer Chan:
Novel semi-metrics for multivariate change point analysis and anomaly detection. CoRR abs/1911.00995 (2019) - 2017
- [c1]Rohitash Chandra, Lamiae Azizi, Sally Cripps:
Bayesian Neural Learning via Langevin Dynamics for Chaotic Time Series Prediction. ICONIP (5) 2017: 564-573 - 2014
- [j3]Jean-Baptiste Pettit, Raju Tomer, Kaia Achim, Sylvia Richardson, Lamiae Azizi, John C. Marioni:
Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets. PLoS Comput. Biol. 10(9) (2014) - 2013
- [j2]M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial:
On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation 22: 99-105 (2013)
2000 – 2009
- 2009
- [j1]Juliette Blanchet, Florence Forbes, Sophie Chopart, Lamiae Azizi:
Le logiciel SpaCEM3 pour la classification de données complexes. Monde des Util. Anal. Données 40: 147-166 (2009)
Coauthor Index
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last updated on 2025-01-09 13:11 CET by the dblp team
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