241 citations · 715 across the 25 of their papers we have counts for
9 papers · 1 filter
An Analysis of Centrality Measures for Complex and Social Networks
Felipe Grando, Diego Noble, Luis C. Lamb
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of netwo…
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model
Felipe Grando, Luis C. Lamb
Vertex centrality measures are a multi-purpose analysis tool, commonly used in many application environments to retrieve information and unveil knowledge from the graphs and networ…
Machine Learning in Network Centrality Measures: Tutorial and Outlook
Felipe Grando, Lisando Z. Granville, Luis C. Lamb
Complex networks are ubiquitous to several Computer Science domains. Centrality measures are an important analysis mechanism to uncover vital elements of complex networks. However,…
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…