Search Results for author: Daniela Oliveira

Found 9 papers, 1 papers with code

Chronic pain patient narratives allow for the estimation of current pain intensity

no code implementations31 Oct 2022 Diogo A. P. Nunes, Joana Ferreira-Gomes, Daniela Oliveira, Carlos Vaz, Sofia Pimenta, Fani Neto, David Martins de Matos

We show that language features from patient narratives indeed convey information relevant for pain intensity estimation, and that our computational models can take advantage of that.

Management

Lumen: A Machine Learning Framework to Expose Influence Cues in Text

1 code implementation12 Jul 2021 Hanyu Shi, Mirela Silva, Daniel Capecci, Luiz Giovanini, Lauren Czech, Juliana Fernandes, Daniela Oliveira

Phishing and disinformation are popular social engineering attacks with attackers invariably applying influence cues in texts to make them more appealing to users.

BIG-bench Machine Learning

Predicting Different Types of Subtle Toxicity in Unhealthy Online Conversations

no code implementations7 Jun 2021 Shlok Gilda, Mirela Silva, Luiz Giovanini, Daniela Oliveira

This paper investigates the use of machine learning models for the classification of unhealthy online conversations containing one or more forms of subtler abuse, such as hostility, sarcasm, and generalization.

Sentiment Analysis

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles

no code implementations20 May 2021 Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira

This paper investigates whether computer usage profiles comprised of process-, network-, mouse-, and keystroke-related events are unique and consistent over time in a naturalistic setting, discussing challenges and opportunities of using such profiles in applications of continuous authentication.

valid

Brazilian Favela Women: How Your Standard Solutions for Technology Abuse Might Actually Harm Them

no code implementations22 Jan 2021 Mirela Silva, Daniela Oliveira

Brazil is home to over 200M people, the majority of which have access to the Internet.

Computers and Society

Facebook Ad Engagement in the Russian Active Measures Campaign of 2016

no code implementations21 Dec 2020 Mirela Silva, Luiz Giovanini, Juliana Fernandes, Daniela Oliveira, Catia S. Silva

This paper examines 3, 517 Facebook ads created by Russia's Internet Research Agency (IRA) between June 2015 and August 2017 in its active measures disinformation campaign targeting the 2016 U. S. general election.

feature selection

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation--A Comparison Between COVID and General Narratives on Twitter

no code implementations3 Dec 2020 Mirela Silva, Fabrício Ceschin, Prakash Shrestha, Christopher Brant, Shlok Gilda, Juliana Fernandes, Catia S. Silva, André Grégio, Daniela Oliveira, Luiz Giovanini

We found that (i) factual tweets, regardless of whether COVID-related, were more engaging than misinformation tweets; and (ii) features that most heavily correlated with engagement varied depending on the veracity and content of the tweet.

Misinformation

Artin-Schreier curves given by $\mathbb F_q$-linearized polynomials

no code implementations2 Dec 2020 Daniela Oliveira, F. E. Brochero Martínez

Let $\mathbb F_q$ be a finite field with $q$ elements, where $q$ is a power of an odd prime $p$.

Number Theory Discrete Mathematics 12E20, 11T06

Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection

no code implementations4 Dec 2017 Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li

Existing malware detectors on safety-critical devices have difficulties in runtime detection due to the performance overhead.

General Classification Malware Detection

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