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)

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 006; João Tiago Ascensão; Pedro Ribeiro 004; Pedro Bizarro (ICAIF, 2023)

Adversarial training for tabular data with attack propagation. - Tiago Leon Melo; João Bravo; Marco O. P. Sampaio; Paolo Romano 002; Hugo Ferreira 006; João Tiago Ascensão; Pedro Bizarro (CoRR, 2023)

Mind the truncation gap: challenges of learning on dynamic graphs with recurrent architectures. - João Bravo; Jacopo Bono; Hugo Ferreira 006; Pedro Saleiro; Pedro Bizarro (Trans. Mach. Learn. Res., 2024)

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs. - Ahmad Naser Eddin; Jacopo Bono; David Oliveira Aparício; Hugo Ferreira 006; Pedro Manuel Pinto Ribeiro; Pedro Bizarro (Trans. Mach. Learn. Res., 2024)