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ORCIDJoão Tiago Ascensão
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2020 – today
- 2023
[c6]Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro:
The GANfather: Controllable generation of malicious activity to improve defence systems. ICAIF 2023: 133-140- [c5]Jacopo Bono, Ahmad Naser Eddin, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro:
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. ICAIF 2023: 176-184 - [i12]Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro:
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs. CoRR abs/2307.08433 (2023) - [i11]Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro:
The GANfather: Controllable generation of malicious activity to improve defence systems. CoRR abs/2307.13787 (2023) - [i10]Tiago Leon Melo, João Bravo, Marco O. P. Sampaio, Paolo Romano, Hugo Ferreira, João Tiago Ascensão, Pedro Bizarro:
Adversarial training for tabular data with attack propagation. CoRR abs/2307.15677 (2023) - 2022
- [i9]João Conde, Ricardo Moreira, João Torres, Pedro Cardoso, Hugo R. C. Ferreira, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Lightweight Automated Feature Monitoring for Data Streams. CoRR abs/2207.08640 (2022) - 2021
- [c4]Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Active learning for imbalanced data under cold start. ICAIF 2021: 17:1-17:9 - [c3]Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
Finding NeMo: Fishing in Banking Networks Using Network Motifs. SEA-Data@VLDB 2021: 1-6 - [i8]Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
GuiltyWalker: Distance to illicit nodes in the Bitcoin network. CoRR abs/2102.05373 (2021) - [i7]Ricardo Barata, Miguel Leite, Ricardo Pacheco, Marco O. P. Sampaio, João Tiago Ascensão, Pedro Bizarro:
Active learning for online training in imbalanced data streams under cold start. CoRR abs/2107.07724 (2021) - [i6]Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
Finding NeMo: Fishing in banking networks using network motifs. CoRR abs/2108.04494 (2021) - [i5]Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro:
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs. CoRR abs/2108.09200 (2021) - [i4]Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro:
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs. CoRR abs/2112.07508 (2021) - 2020
- [c2]Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity. ICAIF 2020: 23:1-23:8 - [c1]Bernardo Branco, Pedro Abreu, Ana Sofia Gomes
, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro:
Interleaved Sequence RNNs for Fraud Detection. KDD 2020: 3101-3109 - [i3]Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro:
Interleaved Sequence RNNs for Fraud Detection. CoRR abs/2002.05988 (2020) - [i2]David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro:
ARMS: Automated rules management system for fraud detection. CoRR abs/2002.06075 (2020) - [i1]Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro:
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity. CoRR abs/2005.14635 (2020)
Coauthor Index
aka: David Aparício
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