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Eva Janousová
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2020 – today
- 2022
- [i1]Jirí Mekyska, Eva Janousová, Pedro Gómez Vilda, Zdenek Smékal, Irena Rektorová, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Jesús Bernardino Alonso Hernández, Marcos Faúndez-Zanuy, Karmele López de Ipiña:
Robust and Complex Approach of Pathological Speech Signal Analysis. CoRR abs/2203.09402 (2022)
2010 – 2019
- 2016
- [c4]Roman Vyskovský, Daniel Schwarz, Eva Janousová, Tomás Kaspárek:
Random Subspace Ensemble Artificial Neural Networks for First-episode Schizophrenia Classification. FedCSIS 2016: 317-321 - 2015
- [j3]Jirí Mekyska, Eva Janousová, Pedro Gómez Vilda, Zdenek Smékal, Irena Rektorová, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Jesús Bernardino Alonso Hernández, Marcos Faúndez-Zanuy, Karmele López de Ipiña:
Robust and complex approach of pathological speech signal analysis. Neurocomputing 167: 94-111 (2015) - [c3]Eva Janousová, Daniel Schwarz, Giovanni Montana, Tomás Kaspárek:
Brain image classification based on automated morphometry and penalised linear discriminant analysis with resampling. FedCSIS 2015: 263-268 - 2012
- [j2]Maria Vounou, Eva Janousová, Robin Wolz, Jason L. Stein, Paul M. Thompson, Daniel Rueckert, Giovanni Montana:
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. NeuroImage 60(1): 700-716 (2012) - [j1]Matt Silver, Eva Janousová, Xue Hua, Paul M. Thompson, Giovanni Montana:
Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. NeuroImage 63(3): 1681-1694 (2012) - 2011
- [c2]Jirí Jarkovský, Ladislav Dusek, Eva Janousová:
Is On-Line Data Analysis Safety? Pitfalls Steaming from Automated Processing of Heterogeneous Environmental Data and Possible Solutions. ISESS 2011: 486-490 - [c1]Eva Janousová, Maria Vounou, Robin Wolz, Katherine R. Gray, Daniel Rueckert, Giovanni Montana:
Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease. MIUA 2011: 17-22
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