Maria Inês Silva

According to our database, Maria Inês Silva authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Short Paper: Atomic Execution is Not Enough for Arbitrage Profit Extraction in Shared Sequencers.

Maria Inês Silva, Benjamin Livshits

CoRR, 2024

MEV Capture Through Time-Advantaged Arbitrage.

Robin Fritsch, Maria Inês Silva, Akaki Mamageishvili, Benjamin Livshits, Edward W. Felten

CoRR, 2024

A Public Dataset For the ZKsync Rollup.

Maria Inês Silva, Johnnatan Messias, Benjamin Livshits

CoRR, 2024

The Writing is on the Wall: Analyzing the Boom of Inscriptions and its Impact on EVM-compatible Blockchains.

Johnnatan Messias, Krzysztof Gogol, Maria Inês Silva, Benjamin Livshits

CoRR, 2024

The Writing is on the Wall: Analyzing the Boom of Inscriptions and its Impact on Rollup Performance and Cost Efficiency.

Krzysztof Gogol, Johnnatan Messias, Maria Inês Silva, Benjamin Livshits

CoRR, 2024

2021

TripMD: Driving patterns investigation via motif analysis.

Maria Inês Silva, Roberto Henriques

Expert Syst. Appl., 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

Finding manoeuvre motifs in vehicle telematics.

Maria Inês Silva, Roberto Henriques

CoRR, 2020

Exploring time-series motifs through DTW-SOM.

Maria Inês Silva, Roberto Henriques

Proceedings of the 2020 International Joint Conference on Neural Networks, 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