241 citations · 715 across the 25 of their papers we have counts for
27 papers
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
Pedro Foletto Pimenta, Pedro H. C. Avelar, Luis C. Lamb
This paper introduces a new learning-based approach for approximately solving the Kidney-Exchange Problem (KEP), an NP-hard problem on graphs. The problem consists of, given a pool…
Graph-based Neural Modules to Inspect Attention-based Architectures: A Position Paper
Breno W. Carvalho, Artur D'Avilla Garcez, Luis C. Lamb
Encoder-decoder architectures are prominent building blocks of state-of-the-art solutions for tasks across multiple fields where deep learning (DL) or foundation models play a key…
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
Pedro H. C. Avelar, Rafael B. Audibert, Anderson R. Tavares +1
Recently, the use of sound measures and metrics in Artificial Intelligence has become the subject of interest of academia, government, and industry. Efforts towards measuring diffe…
Weekly sequential Bayesian updating improves prediction of deaths at an early epidemic stage
Pedro Henrique da Costa Avelar, Natalia Del Coco, Luis C. Lamb +2
Background: Following the outbreak of the coronavirus epidemic in early 2020, municipalities, regional governments and policymakers worldwide had to plan their Non-Pharmaceutical I…
Neurosymbolic AI: The 3rd Wave
Artur d'Avila Garcez, Luis C. Lamb
Current advances in Artificial Intelligence (AI) and Machine Learning (ML) have achieved unprecedented impact across research communities and industry. Nevertheless, concerns about…
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
Henrique Lemos, Pedro Avelar, Marcelo Prates +2
The recent developments and growing interest in neural-symbolic models has shown that hybrid approaches can offer richer models for Artificial Intelligence. The integration of effe…