Deep neural network trained to detect eye contact from facial image

Detecting Autism Spectrum Disorder in Children With Computer Vision - Adapting facial recognition models to detect Autism Spectrum Disorder

Code respository for AutSPACEs: the Autistica/Turing citizen science platform

Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical data were collected in StonyBrook Social Competence Treatment Lab, for data request evaluation please contact professor Matthew D. Lerner matthew.lerner@stonybrook.edu

Employs data science to assist therapists treat a common autism symptom that involves interpretation and correlation of facial and speech emotions

This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including data from individuals diagnosed with Autism (ASD). For more details and data request send an email to the authors and contributors Juan Manuel Mayor Torres (juan.mayortorres@unitn.it) and Mirco Ravanelli (Mila)

Project for detecting Autism and Dyslexia using ML. A POC for the KPMG Ideation Challenge, 2021.

[TAFFC-2025] Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder

Code for paper 'Obtaining leaner DNN for decoding brain functional connectome in a single shot'

Video Classification Autism Behaviour

👾 blockchain infrastructure projects and resources (e.g., ethereum event scanner, on chain analysis, data pipelines, etc.)

Face Micro-Expression Analysis on ADOS Videos

Multi-person eye-contact detection from single-camera videos for clinical and in-the-wild interaction scenarios

How to train an unknown NN...

Real-time video emotion, pattern & signature detection – open, fast, explainable, accessible.

Human survival post-LGM relied on adaptation, cooperation, and innovation. Neanderthal and Denisovan genes shaped immunity and metabolism, but uniform modern diets clash with these traits, fueling chronic disease. Embracing diversity can drive health and resilience.

Ethical AI assistant for autism, and Down syndrome – multilingual, open-source.

The Stratification of Autism Spectrum Disorder Using Multimodal, Semi-supervised Cluster Analysis of the SPARK Cohort

This repository contains all of code used to create the Autism Waiting Times publication.