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ORCIDDavid Oliveira Aparício
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2020 – today
- 2024
[i17]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 abs/2407.07712 (2024)- [i16]Samuel Arcadinho, David Aparício, Mariana Almeida:
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents. CoRR abs/2409.15934 (2024) - 2023
- [c11]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 - [c10]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 - [c9]Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida:
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. ICMLA 2023: 938-943 - [i15]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) - [i14]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) - [i13]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 abs/2308.15239 (2023) - [i12]Nichal Narotamo, David Aparício, Tiago Mesquita, Mariana Almeida:
Intent Detection at Scale: Tuning a Generic Model using Relevant Intents. CoRR abs/2309.08647 (2023) - 2022
- [j4]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): 28:1-28:36 (2022) - [i11]Samuel Arcadinho, David Aparício, Hugo Veiga, António Alegria:
T5QL: Taming language models for SQL generation. CoRR abs/2209.10254 (2022) - 2021
- [c8]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 - [i10]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) - [i9]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) - [i8]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) - [i7]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
- [c7]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 - [c6]Jorge M. B. Silva, David Aparício, Pedro Ribeiro, Fernando M. A. Silva:
FOCAS: penalising friendly citations to improve author ranking. SAC 2020: 1852-1860 - [i6]David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro:
ARMS: Automated rules management system for fraud detection. CoRR abs/2002.06075 (2020) - [i5]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)
2010 – 2019
- 2019
- [b1]David Oliveira Aparício:
Network Comparison and Node Ranking in Complex Networks. University of Porto, Portugal, 2019 - [j3]Jorge M. B. Silva, David Aparício, Fernando M. A. Silva:
Feature-enriched author ranking in incomplete networks. Appl. Netw. Sci. 4(1): 74 (2019) - [j2]David Oliveira Aparício, Pedro Ribeiro, Tijana Milenkovic, Fernando Silva:
Temporal network alignment via GoT-WAVE. Bioinform. 35(18): 3527-3529 (2019) - [c5]David Aparício, Pedro Ribeiro, Fernando Silva, Jorge M. B. Silva:
Finding Dominant Nodes Using Graphlets. COMPLEX NETWORKS (1) 2019: 77-89 - [i4]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 abs/1910.13011 (2019) - 2018
- [c4]Jorge M. B. Silva, David Oliveira Aparício, Fernando M. A. Silva:
OTARIOS: OpTimizing Author Ranking with Insiders/Outsiders Subnetworks. COMPLEX NETWORKS (1) 2018: 143-154 - [i3]David Oliveira Aparício, Pedro Ribeiro, Tijana Milenkovic, Fernando Silva:
GoT-WAVE: Temporal network alignment using graphlet-orbit transitions. CoRR abs/1808.08195 (2018) - 2017
- [j1]David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva:
Extending the Applicability of Graphlets to Directed Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1302-1315 (2017) - [i2]David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva:
Temporal Network Comparison using Graphlet-orbit Transitions. CoRR abs/1707.04572 (2017) - 2016
- [c3]David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva:
A Subgraph-Based Ranking System for Professional Tennis Players. CompleNet 2016: 159-171 - 2015
- [i1]David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando M. A. Silva:
Network comparison using directed graphlets. CoRR abs/1511.01964 (2015) - 2014
- [c2]David Oliveira Aparício, Pedro Paredes, Pedro Manuel Pinto Ribeiro:
A Scalable Parallel Approach for Subgraph Census Computation. Euro-Par Workshops (2) 2014: 194-205 - [c1]David Oliveira Aparício, Pedro Manuel Pinto Ribeiro, Fernando Manuel Augusto da Silva:
Parallel Subgraph Counting for Multicore Architectures. ISPA 2014: 34-41
Coauthor Index
aka: Pedro Manuel Pinto Ribeiro
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