16 citations · 51 across the 13 of their papers we have counts for
15 papers
Transferable conditional brain charts link cortico-subcortical structure to Alzheimer's disease progression
Nitin Sharma, Sicheng Dai, Francesco A. Mallus +29
Normative models chart how brain measures vary across the lifespan, expressing each individual as a deviation from a healthy reference. However, most regional models of cortical th…
PROMISSING: Pruning Missing Values in Neural Networks
Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal +5
While data are the primary fuel for machine learning models, they often suffer from missing values, especially when collected in real-world scenarios. However, many off-the-shelf m…
Gender and Emotion Recognition from Implicit User Behavior Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Mohan Kankanhalli +1
This work explores the utility of implicit behavioral cues, namely, Electroencephalogram (EEG) signals and eye movements for gender recognition (GR) and emotion recognition (ER) fr…
Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data
Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga +6
Clinical neuroimaging has recently witnessed explosive growth in data availability which brings studying heterogeneity in clinical cohorts to the spotlight. Normative modeling is a…
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
Seyed Mostafa Kia, Andre F. Marquand
Normative modeling has recently been introduced as a promising approach for modeling variation of neuroimaging measures across individuals in order to derive biomarkers of psychiat…
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data
Seyed Mostafa Kia, Christian F. Beckmann, Andre F. Marquand
Most brain disorders are very heterogeneous in terms of their underlying biology and developing analysis methods to model such heterogeneity is a major challenge. A promising appro…
Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes
Seyed Mostafa Kia, Andre Marquand
Normative modeling has recently been proposed as an alternative for the case-control approach in modeling heterogeneity within clinical cohorts. Normative modeling is based on sing…
Deep Learning for Automatic Stereotypical Motor Movement Detection using Wearable Sensors in Autism Spectrum Disorders
Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo +5
Autism Spectrum Disorders are associated with atypical movements, of which stereotypical motor movements (SMMs) interfere with learning and social interaction. The automatic SMM de…
Gender and Emotion Recognition with Implicit User Signals
Maneesh Bilalpur, Seyed Mostafa Kia, Manisha Chawla +2
We examine the utility of implicit user behavioral signals captured using low-cost, off-the-shelf devices for anonymous gender and emotion recognition. A user study designed to exa…
Discovering Gender Differences in Facial Emotion Recognition via Implicit Behavioral Cues
Maneesh Bilalpur, Seyed Mostafa Kia, Tat-Seng Chua +1
We examine the utility of implicit behavioral cues in the form of EEG brain signals and eye movements for gender recognition (GR) and emotion recognition (ER). Specifically, the ex…
Interpretability in Linear Brain Decoding
Seyed Mostafa Kia, Andrea Passerini
Improving the interpretability of brain decoding approaches is of primary interest in many neuroimaging studies. Despite extensive studies of this type, at present, there is no for…
Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification
Seyed Mostafa Kia
Brain decoding is a popular multivariate approach for hypothesis testing in neuroimaging. It is well known that the brain maps derived from weights of linear classifiers are hard t…
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism
Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia +3
Autism Spectrum Disorders (ASDs) are often associated with specific atypical postural or motor behaviors, of which Stereotypical Motor Movements (SMMs) have a specific visibility.…
Mass-Univariate Hypothesis Testing on MEEG Data using Cross-Validation
Seyed Mostafa Kia
Recent advances in statistical theory, together with advances in the computational power of computers, provide alternative methods to do mass-univariate hypothesis testing in which…
A Novel Scheme for Intelligent Recognition of Pornographic Images
Seyed Mostafa Kia, Hossein Rahmani, Reza Mortezaei +2
Harmful contents are rising in internet day by day and this motivates the essence of more research in fast and reliable obscene and immoral material filtering. Pornographic image r…