119 citations · 148 across the 11 of their papers we have counts for
6 papers · 1 filter
Neural Networks Models for Analyzing Magic: the Gathering Cards
Felipe Zilio, Marcelo Prates, Luis Lamb
Historically, games of all kinds have often been the subject of study in scientific works of Computer Science, including the field of machine learning. By using machine learning te…
Problem Solving at the Edge of Chaos: Entropy, Puzzles and the Sudoku Freezing Transition
Marcelo Prates, Luis Lamb
Sudoku is a widely popular -Complete combinatorial puzzle whose prospects for studying human computation have recently received attention, but the algorithmic hardnes…
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Marcelo Prates, Pedro Avelar, Luis C. Lamb
Recent developments in AI, Machine Learning and Robotics have raised concerns about the ethical consequences of both academic and industrial AI research. Leading academics, busines…
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network
Pedro H. C. Avelar, Henrique Lemos, Marcelo O. R. Prates +1
The application of deep learning to symbolic domains remains an active research endeavour. Graph neural networks (GNN), consisting of trained neural modules which can be arranged i…
Learning to Solve NP-Complete Problems - A Graph Neural Network for Decision TSP
Marcelo O. R. Prates, Pedro H. C. Avelar, Henrique Lemos +2
Graph Neural Networks (GNN) are a promising technique for bridging differential programming and combinatorial domains. GNNs employ trainable modules which can be assembled in diffe…
Assessing Gender Bias in Machine Translation -- A Case Study with Google Translate
Marcelo O. R. Prates, Pedro H. C. Avelar, Luis Lamb
Recently there has been a growing concern about machine bias, where trained statistical models grow to reflect controversial societal asymmetries, such as gender or racial bias. A…