no code implementations • 26 Dec 2023 • Erik Derner, Dalibor Kučera, Nuria Oliver, Jan Zahálka
We compare the personality trait estimations made by ChatGPT against those by human raters and report ChatGPT's competitive performance in inferring personality traits from text.
1 code implementation • 29 Nov 2023 • Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver
In this paper, we show that the effectiveness of these attacks on the clients negatively correlates with the size of the client datasets and model complexity.
no code implementations • 5 May 2023 • Adrian Arnaiz-Rodriguez, Georgina Curto, Nuria Oliver
We denote the social capital disparity among different groups in a network as structural group unfairness, and propose to mitigate it by means of a budgeted edge augmentation heuristic that systematically increases the social capital of the most disadvantaged group.
1 code implementation • 3 Mar 2023 • Adrian Arnaiz-Rodriguez, Nuria Oliver
Algorithmic fairness is of utmost societal importance, yet the current trend in large-scale machine learning models requires training with massive datasets that are frequently biased.
no code implementations • 1 Oct 2022 • Aditya Gulati, Miguel Angel Lozano, Bruno Lepri, Nuria Oliver
Human perception, memory and decision-making are impacted by tens of cognitive biases and heuristics that influence our actions and decisions.
no code implementations • 28 Sep 2022 • Piera Riccio, Nuria Oliver
This short paper proposes a preliminary and yet insightful investigation of racial biases in beauty filters techniques currently used on social media.
no code implementations • 27 Sep 2022 • Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver
Federated learning (FL) has been proposed as a privacy-preserving approach in distributed machine learning.
1 code implementation • 19 Jul 2022 • Piera Riccio, Bill Psomas, Francesco Galati, Francisco Escolano, Thomas Hofmann, Nuria Oliver
Augmented Reality or AR filters on selfies have become very popular on social media platforms for a variety of applications, including marketing, entertainment and aesthetics.
2 code implementations • 15 Jun 2022 • Adrian Arnaiz-Rodriguez, Ahmed Begga, Francisco Escolano, Nuria Oliver
Graph Neural Networks (GNNs) have been shown to achieve competitive results to tackle graph-related tasks, such as node and graph classification, link prediction and node and graph clustering in a variety of domains.
Ranked #1 on Graph Classification on IMDB-BINARY
no code implementations • NeurIPS 2021 • Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
Furthermore, unlike existing methods, we introduce a location prediction branch in MobTCast as an auxiliary task to model the geographical context and predict the next location.
no code implementations • 7 Jun 2018 • Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González-Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Nuria Sebastian, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold
The workshop gathered an interdisciplinary group of experts to establish the state of the art research in the field and a list of future research challenges to be addressed on the topic of human and machine intelligence, algorithm's potential impact on human cognitive capabilities and decision making, and evaluation and regulation needs.