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04/19/2023
Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
This paper introduces a new learning-based approach for approximately so...
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04/18/2023
A Neural Lambda Calculus: Neurosymbolic AI meets the foundations of computing and functional programming
Over the last decades, deep neural networks based-models became the domi...
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10/13/2022
Graph-based Neural Modules to Inspect Attention-based Architectures: A Position Paper
Encoder-decoder architectures are prominent building blocks of state-of-...
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05/26/2022
On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences
Artificial Intelligence is now recognized as a general-purpose technolog...
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07/26/2021
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
Recently, the use of sound measures and metrics in Artificial Intelligen...
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04/02/2021
Weekly Bayesian modelling strategy to predict deaths by COVID-19: a model and case study for the state of Santa Catarina, Brazil
Background: The novel coronavirus pandemic has affected Brazil's Santa C...
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12/10/2020
Neurosymbolic AI: The 3rd Wave
Current advances in Artificial Intelligence (AI) and Machine Learning (M...
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09/13/2020
Understanding Boolean Function Learnability on Deep Neural Networks
Computational learning theory states that many classes of boolean formul...
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02/13/2020
Superpixel Image Classification with Graph Attention Networks
This document reports the use of Graph Attention Networks for classifyin...
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11/21/2019
Discrete and Continuous Deep Residual Learning Over Graphs
In this paper we propose the use of continuous residual modules for grap...
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05/15/2019
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Current advances in Artificial Intelligence and machine learning in gene...
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10/28/2018
Machine Learning in Network Centrality Measures: Tutorial and Outlook
Complex networks are ubiquitous to several Computer Science domains. Cen...
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10/28/2018
Computing Vertex Centrality Measures in Massive Real Networks with a Neural Learning Model
Vertex centrality measures are a multi-purpose analysis tool, commonly u...
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09/21/2018
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals
Recent developments in AI, Machine Learning and Robotics have raised con...
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11/10/2017