Marcus de Carvalho

According to our database, Marcus de Carvalho authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Mining under Data scarcity.

Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2024

Towards Cross-Domain Continual Learning.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Haoyan Chua, Edward Kien Yee Yapp

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Autonomous Cross Domain Adaptation Under Extreme Label Scarcity.

Weiwei Weng, Mahardhika Pratama, Choiru Za'in, Marcus de Carvalho, Appan Rakaraddi, Andri Ashfahani, Edward Kien Yee Yapp

IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022

ACDC: Online unsupervised cross-domain adaptation.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Edward Kien Yee Yapp

Knowl. Based Syst., 2022

Class-Incremental Learning via Knowledge Amalgamation.

Marcus de Carvalho, Mahardhika Pratama, Jie Zhang, Yajuan Sun

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Reinforced Continual Learning for Graphs.

Appan Rakaraddi, Siew-Kei Lam, Mahardhika Pratama, Marcus de Carvalho

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2019

ATL: Autonomous Knowledge Transfer from Many Streaming Processes.

Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Improving shallow neural network by compressing deep neural network.

Marcus de Carvalho, Mahardhika Pratama

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018