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Silvia Chiappa

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Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition

Analysis and Classification of EEG Signals using Probabilistic Models for Brain Computer Interfaces

Analysis and classification of EEG signals using probabilistic models for brain computer interfaces

EEG classification using generative independent component analysis

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Generative Independent Component Analysis for EEG Classification

Generative Temporal ICA for Classification in Asynchronous BCI Systems

Generative Temporal ICA for Classification in Asynchronous BCI Systems

Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition

Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition

Analysis and Classification of EEG Signals using Probabilistic Models for Brain Computer Interfaces

EEG classification using generative independent component analysis

Analysis and classification of EEG signals using probabilistic models for brain computer interfaces

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Generative Temporal ICA for Classification in Asynchronous BCI Systems

Generative Temporal ICA for Classification in Asynchronous BCI Systems

Generative Independent Component Analysis for EEG Classification

Unified Inference for Variational Bayesian Linear Gaussian State-Space Models

Bayesian Factorial Linear Gaussian State-Space Models for Biosignal Decomposition