Seyed Mostafa Kia | DeepAI

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Elena Marchiori
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Emanuele Olivetti
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Paolo Avesani
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Josien Pluim
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∙ 06/03/2022

PROMISSING: Pruning Missing Values in Neural Networks

While data are the primary fuel for machine learning models, they often ...

15 Seyed Mostafa Kia, et al. ∙

∙ 06/23/2020

Gender and Emotion Recognition from Implicit User Behavior Signals

This work explores the utility of implicit behavioral cues, namely, Elec...

0 Maneesh Bilalpur, et al. ∙

∙ 05/25/2020

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Clinical neuroimaging has recently witnessed explosive growth in data av...

6 Seyed Mostafa Kia, et al. ∙

∙ 12/12/2018

Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data

Normative modeling has recently been introduced as a promising approach ...

0 Seyed Mostafa Kia, et al. ∙

∙ 07/31/2018

Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data

Most brain disorders are very heterogeneous in terms of their underlying...

0 Seyed Mostafa Kia, et al. ∙

∙ 06/04/2018

Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes

Normative modeling has recently been proposed as an alternative for the ...

0 Seyed Mostafa Kia, et al. ∙

∙ 09/14/2017

Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders

Autism Spectrum Disorders are associated with atypical movements, of whi...

0 Nastaran Mohammadian Rad, et al. ∙

∙ 08/29/2017

Gender and Emotion Recognition with Implicit User Signals

We examine the utility of implicit user behavioral signals captured usin...

0 Maneesh Bilalpur, et al. ∙

∙ 08/29/2017

Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues

We examine the utility of implicit behavioral cues in the form of EEG br...

0 Maneesh Bilalpur, et al. ∙

∙ 06/17/2016

Interpretability in Linear Brain Decoding

Improving the interpretability of brain decoding approaches is of primar...

0 Seyed Mostafa Kia, et al. ∙

∙ 03/29/2016

Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification

Brain decoding is a popular multivariate approach for hypothesis testing...

0 Seyed Mostafa Kia, et al. ∙

∙ 11/05/2015

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism

Autism Spectrum Disorders (ASDs) are often associated with specific atyp...

0 Nastaran Mohammadian Rad, et al. ∙

∙ 06/25/2014

Mass-Univariate Hypothesis Testing on MEEG Data using Cross-Validation

Recent advances in statistical theory, together with advances in the com...

0 Seyed Mostafa Kia, et al. ∙

∙ 04/16/2014

MEG Decoding Across Subjects

Brain decoding is a data analysis paradigm for neuroimaging experiments ...

0 Emanuele Olivetti, et al. ∙

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