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5 papers · 1 filter
Setting the Right Expectations: Algorithmic Recourse Over Time
Joao Fonseca, Andrew Bell, Carlo Abrate +2
Algorithmic systems are often called upon to assist in high-stakes decision making. In light of this, algorithmic recourse, the principle wherein individuals should be able to take…
Learning from pandemics: using extraordinary events can improve disease now-casting models
Sara Mesquita, Cláudio Haupt Vieira, Lília Perfeito +1
Online searches have been used to study different health-related behaviours, including monitoring disease outbreaks. An obvious caveat is that several reasons can motivate individu…
Teaching the Machine to Explain Itself using Domain Knowledge
Vladimir Balayan, Pedro Saleiro, Catarina Belém +2
Machine Learning (ML) has been increasingly used to aid humans to make better and faster decisions. However, non-technical humans-in-the-loop struggle to comprehend the rationale b…
Deteção de estruturas permanentes a partir de dados de séries temporais Sentinel 1 e 2
André Neves, Carlos Damásio, João Pires +1
Mapping structures such as settlements, roads, individual houses and any other types of artificial structures is of great importance for the analysis of urban growth, masking, imag…
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process…