David Oliveira Aparício

According to our database, David Oliveira Aparício authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated test generation to evaluate tool-augmented LLMs as conversational AI agents.

Samuel Arcadinho, David Aparício, Mariana Almeida

CoRR, 2024

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs.

Ahmad Naser Eddin, Jacopo Bono, David Aparício, Hugo Ferreira, Pedro Ribeiro, Pedro Bizarro

CoRR, 2024

2023

Natural language to SQL in low-code platforms.

Sofia Aparicio, Samuel Arcadinho, João Nadkarni, David Aparício, João Lages, Mariana Lourenço, Bartlomiej Matejczyk, Filipe Assunção

CoRR, 2023

Intent Detection at Scale: Tuning a Generic Model using Relevant Intents.

Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida

Proceedings of the International Conference on Machine Learning and Applications, 2023

The GANfather: Controllable generation of malicious activity to improve defence systems.

Ricardo Ribeiro Pereira, Jacopo Bono, João Tiago Ascensão, David Aparício, Pedro Ribeiro, Pedro Bizarro

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

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, João Tiago Ascensão, Pedro Ribeiro, Pedro Bizarro

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

2022

A Survey on Subgraph Counting: Concepts, Algorithms, and Applications to Network Motifs and Graphlets.

Pedro Ribeiro, Pedro Paredes, Miguel E. P. Silva, David Aparício, Fernando M. A. Silva

ACM Comput. Surv., 2022

T5QL: Taming language models for SQL generation.

Samuel Arcadinho, David Aparício, Hugo Veiga, António Alegria

CoRR, 2022

2021

Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs.

Ahmad Naser Eddin, Jacopo Bono, David Aparício, David Polido, João Tiago Ascensão, Pedro Bizarro, Pedro Ribeiro

CoRR, 2021

GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs.

Maria Inês Silva, David Aparício, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro

CoRR, 2021

GuiltyWalker: Distance to illicit nodes in the Bitcoin network.

Catarina Oliveira, João Torres, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

CoRR, 2021

Finding NeMo: Fishing in Banking Networks Using Network Motifs.

Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro

Proceedings of the 2nd Workshop on Search, 2021

2020

ARMS: Automated rules management system for fraud detection.

David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro

CoRR, 2020

FOCAS: penalising friendly citations to improve author ranking.

Jorge M. B. Silva, David Aparício, Pedro Ribeiro, Fernando M. A. Silva

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity.

Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

Network Comparison and Node Ranking in Complex Networks

David Oliveira Aparício

PhD thesis, 2019

Temporal network alignment via GoT-WAVE.

David Oliveira Aparício, Pedro Ribeiro, Tijana Milenkovic, Fernando Silva

Bioinform., 2019

Feature-enriched author ranking in incomplete networks.

Jorge M. B. Silva, David Aparício, Fernando M. A. Silva

Appl. Netw. Sci., 2019

Finding Dominant Nodes Using Graphlets.

David Aparício, Pedro Ribeiro, Fernando Silva, Jorge M. B. Silva

Proceedings of the Complex Networks and Their Applications VIII, 2019

2018

GoT-WAVE: Temporal network alignment using graphlet-orbit transitions.

David Oliveira Aparício, Pedro Ribeiro, Tijana Milenkovic, Fernando Silva

CoRR, 2018

OTARIOS: OpTimizing Author Ranking with Insiders/Outsiders Subnetworks.

Jorge M. B. Silva, David Oliveira Aparício, Fernando M. A. Silva

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Extending the Applicability of Graphlets to Directed Networks.

David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Temporal Network Comparison using Graphlet-orbit Transitions.

David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva

CoRR, 2017

2016

A Subgraph-Based Ranking System for Professional Tennis Players.

David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva

Proceedings of the Complex Networks VII, 2016

2015

Network comparison using directed graphlets.

David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva

CoRR, 2015

2014

Parallel Subgraph Counting for Multicore Architectures.

David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando Manuel Augusto da Silva

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2014

A Scalable Parallel Approach for Subgraph Census Computation.

David Oliveira Aparício, Pedro Paredes, Pedro Manuel Pinto Ribeiro

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014