Pedro H. C. Avelar
Orcid: 0000-0002-0347-7002Affiliations:
- King's College London, UK
According to our database1,
Pedro H. C. Avelar
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
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
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
2020
Neural Comput. Appl., 2020
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
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
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
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