User-centric Affective Video Tagging from MEG and Peripheral Physiological Responses. - Mojtaba Khomami Abadi; Seyed Mostafa Kia; Subramanian Ramanathan; Paolo Avesani; Nicu Sebe (ACII, 2013)

Decoding affect in videos employing the MEG brain signal. - Mojtaba Khomami Abadi; Seyed Mostafa Kia; Subramanian Ramanathan; Paolo Avesani; Nicu Sebe (FG, 2013)

Discrete Cosine Transform for MEG Signal Decoding. - Seyed Mostafa Kia; Emanuele Olivetti; Paolo Avesani (PRNI, 2013)

The Kernel Two-Sample Test vs. Brain Decoding. - Emanuele Olivetti; Danilo Benozzo; Seyed Mostafa Kia; Marta Ellero; Thomas Hartmann 003 (PRNI, 2013)

Multi-Task Learning for Interpretation of Brain Decoding Models. - Seyed Mostafa Kia; Sandro Vega-Pons; Emanuele Olivetti; Paolo Avesani (MLINI@NIPS, 2014)

Sensor-level maps with the kernel two-sample test. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

MEG decoding across subjects. - Emanuele Olivetti; Seyed Mostafa Kia; Paolo Avesani (PRNI, 2014)

Mass-Univariate Hypothesis Testing on MEEG Data using Cross-Validation. - Seyed Mostafa Kia (CoRR, 2014)

A Novel Scheme for Intelligent Recognition of Pornographic Images. - Seyed Mostafa Kia; Hossein Rahmani 001; Reza Mortezaei; Mohsen Ebrahimi Moghaddam; Amer Namazi (CoRR, 2014)

Movie Genre Classification by Exploiting MEG Brain Signals. - Pouya Ghaemmaghami; Mojtaba Khomami Abadi; Seyed Mostafa Kia; Paolo Avesani; Nicu Sebe (ICIAP (1), 2015)

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism. - Nastaran Mohammadian Rad; Andrea Bizzego; Seyed Mostafa Kia; Giuseppe Jurman; Paola Venuti; Cesare Furlanello (CoRR, 2015)

DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses. - Mojtaba Khomami Abadi; Ramanathan Subramanian; Seyed Mostafa Kia; Paolo Avesani; Ioannis Patras; Nicu Sebe (IEEE Trans. Affect. Comput., 2015)

Stereotypical Motor Movement Detection in Dynamic Feature Space. - Nastaran Mohammadian Rad; Seyed Mostafa Kia; Calogero Zarbo; Giuseppe Jurman; Paola Venuti; Cesare Furlanello (ICDM Workshops, 2016)

Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification. - Seyed Mostafa Kia (CoRR, 2016)

Discovering gender differences in facial emotion recognition via implicit behavioral cues. - Maneesh Bilalpur; Seyed Mostafa Kia; Tat-Seng Chua; Ramanathan Subramanian (ACII, 2017)

Gender and emotion recognition with implicit user signals. - Maneesh Bilalpur; Seyed Mostafa Kia; Manisha Chawla; Tat-Seng Chua; Ramanathan Subramanian (ICMI, 2017)

Brain Decoding for Brain Mapping: Definition, Heuristic Quantification, and Improvement of Interpretability in Group MEG Decoding. - Seyed Mostafa Kia (2017)

Normative Modeling of Neuroimaging Data Using Scalable Multi-task Gaussian Processes. - Seyed Mostafa Kia; Andre F. Marquand (MICCAI (3), 2018)

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 (CoRR, 2018)

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders. - Nastaran Mohammadian Rad; Seyed Mostafa Kia; Calogero Zarbo; Twan van Laarhoven; Giuseppe Jurman; Paola Venuti; Elena Marchiori; Cesare Furlanello (Signal Process., 2018)

Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data. - Seyed Mostafa Kia; Andre F. Marquand (MIDL, 2019)

Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data. - Seyed Mostafa Kia; Hester Huijsdens; Richard Dinga; Thomas Wolfers; Maarten Mennes; Ole A. Andreassen; Lars T. Westlye; Christian F. Beckmann; Andre F. Marquand (MICCAI (7), 2020)

Gender and Emotion Recognition from Implicit User Behavior Signals. - Maneesh Bilalpur; Seyed Mostafa Kia; Mohan S. Kankanhalli; Ramanathan Subramanian (CoRR, 2020)

Multi-site Normative Modeling of Diffusion Tensor Imaging Metrics Using Hierarchical Bayesian Regression. - Julio E. Villalon-Reina; Clara Moreau; Talia M. Nir; Neda Jahanshad; Anne M. Maillard; David Romascano; Bogdan Draganski; Sarah Lippé; Carrie E. Bearden; Seyed Mostafa Kia; Andre F. Marquand; Sébastien Jacquemont; et al. (MICCAI (1), 2022)

PROMISSING: Pruning Missing Values in Neural Networks. - Seyed Mostafa Kia; Nastaran Mohammadian Rad; Daniel van Opstal; Bart van Schie; Andre F. Marquand; Josien P. W. Pluim; Wiepke Cahn; Hugo G. Schnack (CoRR, 2022)

Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models. - Johanna M. M. Bayer; Richard Dinga; Seyed Mostafa Kia; Akhil R. Kottaram; Thomas Wolfers; Jinglei Lv; Andrew Zalesky; Lianne Schmaal; Andre F. Marquand (NeuroImage, 2022)