Displaying 8 resources
Article/Books/eBooks Article/Books/eBooks

Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition

In this paper, the authors propose a lightweight neural network architecture that extracts and performs the analysis of multimodal information using the same audio and visual networks across multiple temporal segments.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

CO2A – Contrastive Conditional domain Alignment

A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

Category
Multi-modal interaction, Sensing of motion and mechanical properties
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Software resources Software resources

pygrank

pygrank is an open source framework to define, run and evaluate node ranking algorithms.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

InDistill

InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Software resources Software resources

AutoDraw

AutoDraw is a new web-based tool that pairs machine learning with drawings created by talented artists to help you draw.

Category
Multi-modal interaction
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

SAFEXPLAIN Introduction to Trustworthy AI for Safety-Critical Systems

This introductory video provides an overview of the steps taken by the SAFEXPLAIN project to ensure that the AI-based solutions used in safety-critical systems are Trustworthy, explainable and comply with the safety guidelines of diverse industria

Category
Data flow standards, Certification and Compliance, Trustworthiness
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector
Source
Adra-e