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2020 – today
- 2024
[i10]Krzysztof Gogol, Johnnatan Messias, Maria Inês Silva, Benjamin Livshits:
The Writing is on the Wall: Analyzing the Boom of Inscriptions and its Impact on Rollup Performance and Cost Efficiency. CoRR abs/2404.11189 (2024)- [i9]Johnnatan Messias, Krzysztof Gogol, Maria Inês Silva, Benjamin Livshits:
The Writing is on the Wall: Analyzing the Boom of Inscriptions and its Impact on EVM-compatible Blockchains. CoRR abs/2405.15288 (2024) - [i8]Maria Inês Silva, Johnnatan Messias, Benjamin Livshits:
A Public Dataset For the ZKsync Rollup. CoRR abs/2407.18699 (2024) - 2021
- [j1]Maria Inês Silva
, Roberto Henriques:
TripMD: Driving patterns investigation via motif analysis. Expert Syst. Appl. 184: 115527 (2021) - [c3]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 - [i7]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) - [i6]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) - [i5]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) - 2020
- [c2]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 - [c1]Maria Inês Silva, Roberto Henriques:
Exploring time-series motifs through DTW-SOM. IJCNN 2020: 1-8 - [i4]Maria Inês Silva, Roberto Henriques:
Finding manoeuvre motifs in vehicle telematics. CoRR abs/2002.04127 (2020) - [i3]Maria Inês Silva, Roberto Henriques:
Exploring time-series motifs through DTW-SOM. CoRR abs/2004.08176 (2020) - [i2]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) - [i1]Maria Inês Silva, Roberto Henriques:
TripMD: Driving patterns investigation via Motif Analysis. CoRR abs/2007.03727 (2020)
Coauthor Index
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