David Aparício

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Machine Learning

Money Laundering

Management System

Top Venues

ACM Comput. Surv.

Publications

Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, Pedro Ribeiro, Pedro Bizarro
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs. CoRR (2024)
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)
Sofia Aparicio, Samuel Arcadinho, João Nadkarni, David Aparício, João Lages, Mariana Lourenço, Bartlomiej Matejczyk, Filipe Assunção
Natural language to SQL in low-code platforms. CoRR (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)
Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. ICMLA (2023)
Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. 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)
Samuel Arcadinho, David Aparício, Hugo Veiga, António Alegria
T5QL: Taming language models for SQL generation. CoRR (2022)
Pedro Ribeiro, Pedro Paredes, Miguel E. P. Silva, David Aparício, Fernando M. A. Silva
A Survey on Subgraph Counting: Concepts, Algorithms, and Applications to Network Motifs and Graphlets. ACM Comput. Surv. 54 (2) (2021)
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)
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)
Jorge M. B. Silva, David Aparício, Pedro Ribeiro, Fernando M. A. Silva
FOCAS: penalising friendly citations to improve author ranking. SAC (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)
Jorge M. B. Silva, David Aparício, Fernando M. A. Silva
Feature-enriched author ranking in incomplete networks. Appl. Netw. Sci. 4 (1) (2019)
David Aparício, Pedro Ribeiro, Fernando Silva, Jorge M. B. Silva
Finding Dominant Nodes Using Graphlets. COMPLEX NETWORKS (1) (2019)
Pedro Ribeiro, Pedro Paredes, Miguel E. P. Silva, David Aparício, Fernando Silva
A Survey on Subgraph Counting: Concepts, Algorithms and Applications to Network Motifs and Graphlets. CoRR (2019)