no code implementations • 8 Oct 2023 • Ana L. C. Bazzan, Anderson R. Tavares, André G. Pereira, Cláudio R. Jung, Jacob Scharcanski, Joel Luis Carbonera, Luís C. Lamb, Mariana Recamonde-Mendoza, Thiago L. T. da Silveira, Viviane Moreira
With no intent to exhaust the subject, we explore the AI applications that are redefining sectors of the economy, impacting society and humanity.
no code implementations • 26 May 2022 • Rafael B. Audibert, Henrique Lemos, Pedro Avelar, Anderson R. Tavares, Luís C. Lamb
This work also contributes, to a certain extent, to shed new light on the history and evolution of AI by exploring the dynamics involved in the field's evolution by looking at papers published at the flagship AI and machine learning conferences since the first International Joint Conference on Artificial Intelligence (IJCAI) held in 1969.
no code implementations • 26 Jul 2021 • Pedro H. C. Avelar, Rafael B. Audibert, Anderson R. Tavares, Luís C. Lamb
In this paper we propose to use such newfound capabilities of AI technologies to augment our AI measuring capabilities.
2 code implementations • 13 Sep 2020 • Marcio Nicolau, Anderson R. Tavares, Zhiwei Zhang, Pedro Avelar, João M. Flach, Luis C. Lamb, Moshe Y. Vardi
Computational learning theory states that many classes of boolean formulas are learnable in polynomial time.
1 code implementation • 13 Feb 2020 • Pedro H. C. Avelar, Anderson R. Tavares, Thiago L. T. da Silveira, Cláudio R. Jung, Luís C. Lamb
This paper presents a methodology for image classification using Graph Neural Network (GNN) models.
no code implementations • 21 Nov 2019 • Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luis C. Lamb
In this paper we propose the use of continuous residual modules for graph kernels in Graph Neural Networks.