João Tiago Ascensão

According to our database, João Tiago Ascensão authored at least 13 papers between 2020 and 2023.

Collaborative distances:

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

2023

Adversarial training for tabular data with attack propagation.

Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro

CoRR, 2023

The GANfather: Controllable generation of malicious activity to improve defence systems.

Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.

Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

Lightweight Automated Feature Monitoring for Data Streams.

João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

CoRR, 2022

2021

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.

Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro

CoRR, 2021

GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs.

Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro

CoRR, 2021

Active learning for online training in imbalanced data streams under cold start.

Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

CoRR, 2021

GuiltyWalker: Distance to illicit nodes in the Bitcoin network.

Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

CoRR, 2021

Finding NeMo: Fishing in Banking Networks Using Network Motifs.

Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro

Proceedings of the 2nd Workshop on Search, 2021

Active learning for imbalanced data under cold start.

Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

ARMS: Automated rules management system for fraud detection.

David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro

CoRR, 2020

Interleaved Sequence RNNs for Fraud Detection.

Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity.

Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020