Pedro H. C. Avelar

Orcid: 0000-0002-0347-7002

Affiliations:
  • King's College London, UK


According to our database1, Pedro H. C. Avelar authored at least 19 papers between 2018 and 2024.

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Bibliography

2024
Solving the kidney exchange problem via graph neural networks with no supervision.
Neural Comput. Appl., September, 2024

2023
On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences.
FLAP, 2023

Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders.
CoRR, 2023

Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

2022
On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences.
CoRR, 2022

Multi-omic Data Integration and Feature Selection for Survival-Based Patient Stratification via Supervised Concrete Autoencoders.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Measuring Ethics in AI with AI: A Methodology and Dataset Construction.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Measuring Ethics in AI with AI: A Methodology and Dataset Construction.
CoRR, 2021

Discrete and Continuous Deep Residual Learning over Graphs.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Assessing gender bias in machine translation: a case study with Google Translate.
Neural Comput. Appl., 2020

Understanding Boolean Function Learnability on Deep Neural Networks.
CoRR, 2020

Superpixel Image Classification with Graph Attention Networks.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Typed Graph Networks.
CoRR, 2019

Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals.
Proceedings of the GCAI-2018, 2018


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