Maria Inês Silva

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Longest Common Subsequence

Machine Learning Methods

Applying Data Mining

Money Laundering

Top Venues

Publications

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 (2024)
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 (2024)
Maria Inês Silva, Johnnatan Messias, Benjamin Livshits
A Public Dataset For the ZKsync Rollup. CoRR (2024)
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)
Maria Inês Silva, Roberto Henriques
TripMD: Driving patterns investigation via motif analysis. Expert Syst. Appl. 184 (2021)
Maria Inês Silva, Roberto Henriques
TripMD: Driving patterns investigation via Motif Analysis. CoRR (2020)
Maria Inês Silva, Roberto Henriques
Exploring time-series motifs through DTW-SOM. CoRR (2020)
Maria Inês Silva, Roberto Henriques
Exploring time-series motifs through DTW-SOM. IJCNN (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)
Maria Inês Silva, Roberto Henriques
Finding manoeuvre motifs in vehicle telematics. 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. ICAIF (2020)