João Tiago Ascensão

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 18

Top Topics

Imbalanced Data

Management System

Top Venues

Publications

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)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2022)
Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro
GuiltyWalker: Distance to illicit nodes in the Bitcoin network. CoRR (2021)
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 (2021)
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 (2021)
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)
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)
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
Finding NeMo: Fishing in banking networks using network motifs. CoRR (2021)
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 (2021)
David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro
ARMS: Automated rules management system for fraud detection. CoRR (2020)
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 (2020)
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
Interleaved Sequence RNNs for Fraud Detection. CoRR (2020)
Bernardo Branco, Pedro Abreu, Ana Sofia Gomes, Mariana S. C. Almeida, João Tiago Ascensão, Pedro Bizarro
Interleaved Sequence RNNs for Fraud Detection. KDD (2020)
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)