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Marilia Barandas

Explore the profile of Marilia Barandas including associated specialties, affiliations and a list of published articles. Areas
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Citations 52
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Recent Articles
1.
Campagner A, Barandas M, Folgado D, Gamboa H, Cabitza F
IEEE Trans Pattern Anal Mach Intell . 2024 Apr; 46(11):7205-7216. PMID: 38607715
In this article we propose a conceptual framework to study ensembles of conformal predictors (CP), that we call Ensemble Predictors (EP). Our approach is inspired by the application of imprecise...
2.
Famiglini L, Campagner A, Barandas M, La Maida G, Gallazzi E, Cabitza F
Comput Biol Med . 2024 Feb; 170:108042. PMID: 38308866
This paper proposes a user study aimed at evaluating the impact of Class Activation Maps (CAMs) as an eXplainable AI (XAI) method in a radiological diagnostic task, the detection of...
3.
Bento N, Rebelo J, Carreiro A, Ravache F, Barandas M
Sensors (Basel) . 2023 Jul; 23(14). PMID: 37514805
The study of Domain Generalization (DG) has gained considerable momentum in the Machine Learning (ML) field. Human Activity Recognition (HAR) inherently encompasses diverse domains (e.g., users, devices, or datasets), rendering...
4.
Cabitza F, Campagner A, Ronzio L, Cameli M, Mandoli G, Pastore M, et al.
Artif Intell Med . 2023 Mar; 138:102506. PMID: 36990586
In this paper, we study human-AI collaboration protocols, a design-oriented construct aimed at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We applied this construct in...
5.
Bento N, Rebelo J, Barandas M, Carreiro A, Campagner A, Cabitza F, et al.
Sensors (Basel) . 2022 Oct; 22(19). PMID: 36236427
Human Activity Recognition (HAR) has been studied extensively, yet current approaches are not capable of generalizing across different domains (i.e., subjects, devices, or datasets) with acceptable performance. This lack of...
6.
Moreira D, Barandas M, Rocha T, Alves P, Santos R, Leonardo R, et al.
Sensors (Basel) . 2021 Sep; 21(18). PMID: 34577526
With the fast increase in the demand for location-based services and the proliferation of smartphones, the topic of indoor localization is attracting great interest. In indoor environments, users' performed activities...
7.
Neves I, Folgado D, Santos S, Barandas M, Campagner A, Ronzio L, et al.
Comput Biol Med . 2021 Apr; 133:104393. PMID: 33915362
Treatment and prevention of cardiovascular diseases often rely on Electrocardiogram (ECG) interpretation. Dependent on the physician's variability, ECG interpretation is subjective and prone to errors. Machine learning models are often...
8.
Fernandes L, Santos S, Barandas M, Folgado D, Leonardo R, Santos R, et al.
Sensors (Basel) . 2020 Nov; 20(22). PMID: 33233815
Infrastructure-free Indoor Positioning Systems (IPS) are becoming popular due to their scalability and a wide range of applications. Such systems often rely on deployed Wi-Fi networks. However, their usability may...
9.
Santos R, Barandas M, Leonardo R, Gamboa H
Sensors (Basel) . 2019 Mar; 19(4). PMID: 30813228
The demand for easily deployable indoor localisation solutions has been growing. Although several systems have been proposed, their limitations regarding the high implementation costs hinder most of them to be...
10.
Oliveira S, Neeli-Venkata R, Goncalves N, Santinha J, Martins L, Tran H, et al.
Mol Microbiol . 2015 Oct; 99(4):686-99. PMID: 26507787
In Escherichia coli, under optimal conditions, protein aggregates associated with cellular aging are excluded from midcell by the nucleoid. We study the functionality of this process under sub-optimal temperatures from...