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David Aparicio
David Aparicio
Verified email at dcc.fc.up.pt - Homepage
Title
Cited by
Cited by
Year
A survey on subgraph counting: concepts, algorithms, and applications to network motifs and graphlets
P Ribeiro, P Paredes, MEP Silva, D Aparicio, F Silva
ACM Computing Surveys (CSUR) 54 (2), 1-36, 2021
952021
Machine learning methods to detect money laundering in the bitcoin blockchain in the presence of label scarcity
J Lorenz, MI Silva, D Aparício, JT Ascensão, P Bizarro
Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020
562020
Parallel subgraph counting for multicore architectures
D Aparício, P Ribeiro, F Silva
2014 IEEE International Symposium on Parallel and Distributed Processing …, 2014
352014
Extending the applicability of graphlets to directed networks
D Aparicio, P Ribeiro, F Silva
IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016
33*2016
Graphlet-orbit Transitions (GoT): A fingerprint for temporal network comparison
D Aparício, P Ribeiro, F Silva
PloS one 13 (10), e0205497, 2018
27*2018
Temporal network alignment via GoT-WAVE
D Aparício, P Ribeiro, T Milenković, F Silva
Bioinformatics 35 (18), 3527–3529, 2019
21*2019
A scalable parallel approach for subgraph census computation
D Aparicio, P Paredes, P Ribeiro
Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International …, 2014
152014
GuiltyWalker: Distance to illicit nodes in the Bitcoin network
C Oliveira, J Torres, MI Silva, D Aparício, JT Ascensão, P Bizarro
arXiv preprint arXiv:2102.05373, 2021
122021
Otarios: Optimizing author ranking with insiders/outsiders subnetworks
J Silva, D Aparício, F Silva
Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th …, 2019
62019
A subgraph-based ranking system for professional tennis players
D Aparício, P Ribeiro, F Silva
Complex Networks VII: Proceedings of the 7th Workshop on Complex Networks …, 2016
52016
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
AN Eddin, J Bono, D Aparício, D Polido, JT Ascensao, P Bizarro, ...
arXiv preprint arXiv:2112.07508, 2021
42021
Arms: Automated rules management system for fraud detection
D Aparício, R Barata, J Bravo, JT Ascensão, P Bizarro
arXiv preprint arXiv:2002.06075, 2020
42020
Feature-enriched author ranking in incomplete networks
J Silva, D Aparício, F Silva
Applied Network Science 4, 1-15, 2019
32019
Finding NeMo: Fishing in banking networks using network motifs
X Fontes, D Aparício, MI Silva, B Malveiro, JT Ascensão, P Bizarro
arXiv preprint arXiv:2108.04494, 2021
22021
FOCAS: penalising friendly citations to improve author ranking
J Silva, D Aparício, P Ribeiro, F Silva
Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1852-1860, 2020
22020
Finding Dominant Nodes Using Graphlets
D Aparício, P Ribeiro, F Silva, J Silva
Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020
12020
Pattern Discovery in Complex Networks using Parallelism
D Aparıcio
Faculty of Sciences of the University of Porto, 2014
12014
T5QL: Taming language models for SQL generation
S Arcadinho, D Aparício, H Veiga, A Alegria
arXiv preprint arXiv:2209.10254, 2022
2022
Automated rules management system
DO Aparício, RJD Barata, JGSB Ferreira, JTBN Ascensão, PGSR Bizarro
US Patent 11,403,644, 2022
2022
Graph traversal for measurement of fraudulent nodes
MI Silva, DO Aparício, AN Eddin, J Bono, JTBN Ascensão, PGSR Bizarro
US Patent App. 17/553,265, 2022
2022
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