Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages

Autor: Brito, Tiago, Ferreira, Mafalda, Monteiro, Miguel, Lopes, Pedro, Barros, Miguel, Santos, José Fragoso, Santos, Nuno

With the emergence of the Node.js ecosystem, JavaScript has become a widely-used programming language for implementing server-side web applications. In this paper, we present the first empirical study of static code analysis tools for detecting vulne

Externí odkaz: http://arxiv.org/abs/2301.05097

Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies

Autor: Ferreira, Mafalda Falcao, Camacho, Rui, Teixeira, Luis F.

Cancer is still one of the most devastating diseases of our time. One way of automatically classifying tumor samples is by analyzing its derived molecular information (i.e., its genes expression signatures). In this work, we aim to distinguish three

Externí odkaz: http://arxiv.org/abs/2001.05253

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Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management.

Autor: Antunes-Ferreira, Mafalda^1,2,3 (AUTHOR), D'Ambrosi, Silvia^1,2,3 (AUTHOR), Arkani, Mohammad^1,2,4,5 (AUTHOR), Post, Edward^1,2,3 (AUTHOR), In 't Veld, Sjors G. J. G.^1,2,3 (AUTHOR), Ramaker, Jip^1,2,3 (AUTHOR), Zwaan, Kenn^1,2,3 (AUTHOR), Kucukguzel, Ece Demirel^1,2,3 (AUTHOR), Wedekind, Laurine E.^1,2,3 (AUTHOR), Griffioen, Arjan W.^2,6 (AUTHOR), Oude Egbrink, Mirjam⁷ (AUTHOR), Kuijpers, Marijke J. E.⁸ (AUTHOR), van den Broek, Daan⁹ (AUTHOR), Noske, David P.^1,2,3 (AUTHOR), Hartemink, Koen J.¹⁰ (AUTHOR), Sabrkhany, Siamack⁷ (AUTHOR), Bahce, Idris⁴ (AUTHOR), Sol, Nik^2,3,11 (AUTHOR), Bogaard, Harm-Jan⁴ (AUTHOR), Koppers-Lalic, Danijela¹² (AUTHOR)

Publikováno v: Scientific Reports. 6/8/2023, Vol. 13 Issue 1, p1-12. 12p.

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