Search Results for author: João Carvalho

Found 7 papers, 4 papers with code

The ECM and tissue architecture are major determinants of early invasion mediated by E-cadherin dysfunction

3 code implementations Communications Biology 2023 Soraia Melo, Pilar Guerrero, Maurício Moreira Soares, José Rafael Bordin, Fátima Carneiro, Patrícia Carneiro, Maria Beatriz Dias, João Carvalho, Joana Figueiredo, Raquel Seruca, Rui D. M. Travasso

Germline mutations of E-cadherin cause Hereditary Diffuse Gastric Cancer (HDGC), a highly invasive cancer syndrome characterised by the occurrence of diffuse-type gastric carcinoma and lobular breast cancer.

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

1 code implementation20 Jul 2021 João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters

This estimator is unbiased, has low variance, and can be used with differentiable and non-differentiable function approximators.

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient

no code implementations27 Oct 2020 Samuele Tosatto, João Carvalho, Jan Peters

Off-policy Reinforcement Learning (RL) holds the promise of better data efficiency as it allows sample reuse and potentially enables safe interaction with the environment.

Policy Gradient Methods reinforcement-learning +1

Angiogenic Factors produced by Hypoxic Cells are a leading driver of Anastomoses in Sprouting Angiogenesis---a computational study

1 code implementation12 Jun 2018 Maurício Moreira-Soares, Rita Coimbra, Luís Rebelo, João Carvalho, Rui D. M. Travasso

We demonstrate that this increased production of angiogenic factors by hypoxic cells is able to promote vessel anastomoses events in both 2D and 3D.

Biological Physics Soft Condensed Matter Tissues and Organs

Subspace Segmentation by Successive Approximations: A Method for Low-Rank and High-Rank Data with Missing Entries

no code implementations5 Sep 2017 João Carvalho, Manuel Marques, João P. Costeira

We propose a method to reconstruct and cluster incomplete high-dimensional data lying in a union of low-dimensional subspaces.

Clustering

Understanding People Flow in Transportation Hubs

no code implementations28 Apr 2017 João Carvalho, Manuel Marques, João P. Costeira

Results show that our methodology is able to successfully summarize the representative patterns for such a long observation period, providing relevant information for airport management.

Clustering Management

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