6 citations · 11 across the 3 of their papers we have counts for
5 papers
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL
Ricardo Ferreira, Carolina Lopes, Ricardo Gonçalves +3
The amount of information produced, whether by newspapers, blogs and social networks, or by monitoring systems, is increasing rapidly. Processing all this data in real-time, while…
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks
João Ferreira, Diogo Lavado, Ricardo Gonçalves +3
With the constant increase of available data in various domains, such as the Internet of Things, Social Networks or Smart Cities, it has become fundamental that agents are able to…
Explainable Abstract Trains Dataset
Manuel de Sousa Ribeiro, Ludwig Krippahl, Joao Leite
The Explainable Abstract Trains Dataset is an image dataset containing simplified representations of trains. It aims to provide a platform for the application and research of algor…
Teaching the Machine to Explain Itself using Domain Knowledge
Vladimir Balayan, Pedro Saleiro, Catarina Belém +2
Machine Learning (ML) has been increasingly used to aid humans to make better and faster decisions. However, non-technical humans-in-the-loop struggle to comprehend the rationale b…
CONDENSER: A Graph-Based Approachfor Detecting Botnets
Pedro Camelo, Joao Moura, Ludwig Krippahl
Botnets represent a global problem and are responsible for causing large financial and operational damage to their victims. They are implemented with evasion in mind, and aim at hi…