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On the accuracy of code complexity metrics: A neuroscience-based guideline for ...

Hao, Gao; Hijazi, Haytham; Durães, João; Medeiros, Julio; Couceiro, Ricardo; Lam, Chan Tong; Teixeira, César A.; Castelhano, João

Complexity is the key element of software quality. This article investigates the problem of measuring code complexity and discusses the results of a controlled experiment to compare different views and methods to measure code complexity. Participants (27 programmers) were asked to read and (try to) understand a set of programs, while the complexity of such programs is assessed through different methods and pers...


Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural...

Lopes, Fábio; Leal, Adriana; Medeiros, Julio; Pinto, Mauro; Dourado, António; Dumpelmann, Matthias; Teixeira, César

Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely used in several applications including cognitive tasks, sleep stage detection, and seizure prediction. When recorded over several hours, this signal is usually corrupted by noisy disturbances such as experimental errors, environmental interferences, and physiological artifacts. These may generate confounding factors and, ...


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