João Tiago Ascensão

18 papers A* 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Adversarial training for tabular data with attack propagation.
CoRR
Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro
2023 — conf
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.
ICAIF
Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro
2023 J jnl
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs.
CoRR
Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro
2023 — conf
The GANfather: Controllable generation of malicious activity to improve defence systems.
ICAIF
Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro
2023 J jnl
The GANfather: Controllable generation of malicious activity to improve defence systems.
CoRR
Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro
2022 J jnl
Lightweight Automated Feature Monitoring for Data Streams.
CoRR
João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
2021 — conf
Active learning for imbalanced data under cold start.
ICAIF
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Active learning for online training in imbalanced data streams under cold start.
CoRR
Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.
CoRR
Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro
2021 — conf
Finding NeMo: Fishing in Banking Networks Using Network Motifs.
SEA-Data@VLDB
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
Finding NeMo: Fishing in banking networks using network motifs.
CoRR
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs.
CoRR
Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
2021 J jnl
GuiltyWalker: Distance to illicit nodes in the Bitcoin network.
CoRR
Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
ARMS: Automated rules management system for fraud detection.
CoRR
David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro
2020 A* conf
Interleaved Sequence RNNs for Fraud Detection.
KDD
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
Interleaved Sequence RNNs for Fraud Detection.
CoRR
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
2020 J jnl
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity.
CoRR
Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
2020 — conf
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity.
ICAIF
Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro