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Pedro Henrique da Costa Avelar
Pedro Henrique da Costa Avelar
Dirección de correo verificada de inf.ufrgs.br
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Año
Assessing gender bias in machine translation: a case study with google translate
MOR Prates, PH Avelar, LC Lamb
Neural Computing and Applications 32, 6363-6381, 2020
4112020
Learning to solve np-complete problems: A graph neural network for decision tsp
M Prates, PHC Avelar, H Lemos, LC Lamb, MY Vardi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4731-4738, 2019
2012019
Graph neural networks meet neural-symbolic computing: A survey and perspective
LC Lamb, A Garcez, M Gori, M Prates, P Avelar, M Vardi
arXiv preprint arXiv:2003.00330, 2020
1712020
Graph colouring meets deep learning: Effective graph neural network models for combinatorial problems
H Lemos, M Prates, P Avelar, L Lamb
2019 IEEE 31st International Conference on Tools with Artificial …, 2019
742019
Superpixel image classification with graph attention networks
PHC Avelar, AR Tavares, TLT da Silveira, CR Jung, LC Lamb
2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2020
452020
TIGIT blockade repolarizes AML-associated TIGIT+ M2 macrophages to an M1 phenotype and increases CD47-mediated phagocytosis
F Brauneck, B Fischer, M Witt, J Muschhammer, J Oelrich, ...
Journal for immunotherapy of cancer 10 (12), 2022
232022
Multitask learning on graph neural networks: Learning multiple graph centrality measures with a unified network
P Avelar, H Lemos, M Prates, L Lamb
International Conference on Artificial Neural Networks, 701-715, 2019
162019
Discrete and Continuous Deep Residual Learning over Graphs
P Avelar, A Tavares, M Gori, L Lamb
13th International Conference on Agents and Artificial Intelligence 2, 119-131, 2021
132021
Understanding boolean function learnability on deep neural networks
AR Tavares, P Avelar, JM Flach, M Nicolau, LC Lamb, M Vardi
arXiv e-prints, arXiv: 2009.05908, 2020
12*2020
On quantifying and understanding the role of ethics in AI research: a historical account of flagship conferences and journals
M Prates, P Avelar, LC Lamb
arXiv preprint arXiv:1809.08328, 2018
112018
On the evolution of AI and machine learning: Towards measuring and understanding impact, influence, and leadership at premier AI conferences
RB Audibert, H Lemos, P Avelar, AR Tavares, LC Lamb
arXiv preprint arXiv:2205.13131, 2022
72022
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases
H Lemos, P Avelar, M Prates, A Garcez, L Lamb
International Conference on Artificial Neural Networks, 647-659, 2020
42020
Typed graph networks
PHC Avelar, H Lemos, MOR Prates, M Gori, L Lamb
arXiv preprint arXiv:1901.07984, 2019
32019
Assessing gender bias in machine translation: a case study with Google Translate
PH Avelar, LC Lamb
Neural Computing & Applications 32 (10), 6363-6381, 2020
22020
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
PHC Avelar, M Wu, S Tsoka
arXiv preprint arXiv:2306.05813, 2023
12023
Measuring Ethics in AI with AI: A Methodology and Dataset Construction
PHC Avelar, RB Audibert, LC Lamb
Brazilian Conference on Intelligent Systems, 370-384, 2022
12022
Multi-Omic Data Integration and Feature Selection for Patient Stratification via Supervised Concrete Autoencoders
PH da Costa Avelar, R Laddach, SN Karagiannis, M Wu, S Tsoka
The 8th International Conference on Machine Learning, Optimization, and Data …, 2022
1*2022
CLigOpt: Controllable Ligand Design through Target-Specific Optimisation
Y Li, PH da Costa Avelar, X Chen, L Zhang, M Wu, S Tsoka
bioRxiv, 2024.03. 15.585255, 2024
2024
Graph Neural Networks with No Supervision and Heuristics for the Kidney-Exchange Problem
PF Pimenta, PHC Avelar, LC Lamb
2023 IEEE 35th International Conference on Tools with Artificial …, 2023
2023
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders
PH da Costa Avelar, M Wu, S Tsoka
arXiv e-prints, arXiv: 2306.05813, 2023
2023
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