Reconstructing Spatiotemporal Data with C-VAEs

1 code implementation • 12 Jul 2023 • Tiago F. R. Ribeiro, Fernando Silva, Rogério Luís de C. Costa

Existing region interpolation methods often fail to generate smooth and realistic representations of a region's evolution.

Position

Novel Features for Time Series Analysis: A Complex Networks Approach

1 code implementation • 11 Oct 2021 • Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando Silva

Our results are very promising, with network features from different mapping methods capturing different properties of the time series, adding a different and rich feature set to the literature.

Clustering Time Series +1

Time Series Analysis via Network Science: Concepts and Algorithms

no code implementations • 11 Oct 2021 • Vanessa Freitas Silva, Maria Eduarda Silva, Pedro Ribeiro, Fernando Silva

These methods involve transforming an initial time series data set into one or more networks, which can be analyzed in depth to provide insight into the original time series.

Time Series Time Series Analysis

GoT-WAVE: Temporal network alignment using graphlet-orbit transitions

no code implementations • 24 Aug 2018 • David Aparício, Pedro Ribeiro, Tijana Milenković, Fernando Silva

Dynamic GDVs (DGDVs) were used as a dynamic NC measure within the first-ever algorithms for GPNA of temporal networks: DynaMAGNA++ and DynaWAVE.

Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots

1 code implementation • 10 Nov 2015 • Miguel Duarte, Vasco Costa, Jorge Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen

We then assess the performance of the controllers on a real swarm of up to ten aquatic surface robots.

Robotics