We present the Multi-Modal Discussion Transformer (mDT), a novel multi-m...
The black-box nature of artificial intelligence (AI) models has been the...
Our work advances an approach for predicting hate speech in social media...
We propose a system to predict harmful discussions on social media platf...
A core issue in federated reinforcement learning is defining how to aggr...
In this paper, we present an approach for predicting trust links between...
This paper envisions a multi-agent system for detecting the presence of ...
Autonomous Vehicles (AV) will transform transportation, but also the
int...
In this paper, we propose a mechanism to deal with dishonest opinions in...
Inter-vehicle communication for autonomous vehicles (AVs) stands to prov...
One-sided matching mechanisms are fundamental for assigning a set of
ind...
For assignment problems where agents, specifying ordinal preferences, ar...
This paper considers a novel approach to scalable multiagent resource
al...