no code implementations • 17 Apr 2024 • Miracle Aniakor, Vinicius V. Cogo, Pedro M. Ferreira
Buildings account for a substantial portion of global energy consumption.
no code implementations • 26 Jan 2024 • Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira
We utilize well-established data collected in previous research from Twitter to assess the competitiveness of these chatbots when compared to specialized models trained for those tasks.
no code implementations • 14 Dec 2020 • Duarte Azevedo, Pedro M. Ferreira, Heather E. Logan, Rui Santos
We discuss the vacuum structure of a version of the Georgi-Machecek model with an exact $\mathbb{Z}_2$ symmetry acting on the triplet fields.
High Energy Physics - Phenomenology
1 code implementation • 18 Oct 2019 • Pedro M. Ferreira, Logan A. Morrison, Stefano Profumo
We analyze the vacuum structure of the one-loop effective potential in the two Higgs doublet model.
High Energy Physics - Phenomenology
no code implementations • 3 Apr 2019 • Fernando Alves, Aurélien Bettini, Pedro M. Ferreira, Alysson Bessani
Receiving timely and relevant security information is crucial for maintaining a high-security level on an IT infrastructure.
1 code implementation • 1 Apr 2019 • Nuno Dionísio, Fernando Alves, Pedro M. Ferreira, Alysson Bessani
A convolutional neural network identifies tweets containing security-related information relevant to assets in an IT infrastructure.
no code implementations • 3 May 2018 • Pedro M. Ferreira, Diogo Pernes, Kelwin Fernandes, Ana Rebelo, Jaime S. Cardoso
This paper addresses the problem of automatic emotion recognition in the scope of the One-Minute Gradual-Emotional Behavior challenge (OMG-Emotion challenge).