Search Results for author: Maria Inês Silva

Found 5 papers, 2 papers with code

TripMD: Driving patterns investigation via Motif Analysis

1 code implementation7 Jul 2020 Maria Inês Silva, Roberto Henriques

Processing driving data and investigating driving behavior has been receiving an increasing interest in the last decades, with applications ranging from car insurance pricing to policy making.

Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

1 code implementation29 May 2020 Joana Lorenz, Maria Inês Silva, David Aparício, João Tiago Ascensão, Pedro Bizarro

First, we show that existing state-of-the-art solutions using unsupervised anomaly detection methods are inadequate to detect the illicit patterns in a real Bitcoin transaction dataset.

Active Learning Unsupervised Anomaly Detection

Exploring time-series motifs through DTW-SOM

no code implementations17 Apr 2020 Maria Inês Silva, Roberto Henriques

In this paper, we argue that visually exploring time-series motifs computed by motif discovery algorithms can be useful to understand and debug results.

Anomaly Detection Dynamic Time Warping +3

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