1 code implementation • SemEval (NAACL) 2022 • Álvaro Huertas-García, Helena Liz, Guillermo Villar-Rodríguez, Alejandro Martín, Javier Huertas-Tato, David Camacho
The main contribution of this paper is the exploration of different late fusion methods to boost the performance of the combination based on the Transformer-based model and Convolutional Neural Networks (CNN) for text and image, respectively.
no code implementations • 28 Feb 2024 • Cristian Ramirez-Atencia, Javier Del Ser, David Camacho
The main objective of this work is to reduce the convergence rate of the MOEA solver for multi-UAV mission planning using weighted random strategies that focus the search on potentially better regions of the solution space.
no code implementations • 28 Feb 2024 • Cristian Ramirez-Atencia, Victor Rodriguez-Fernandez, David Camacho
In this work, a DSS consisting of ranking and filtering systems, which order and reduce the optimal solutions, has been designed.
no code implementations • 21 Feb 2024 • Moutaz Alazab, Ruba Abu Khurma, Pedro A. Castillo, Bilal Abu-Salih, Alejandro Martin, David Camacho
This paper proposes an Intrusion Detection System (IDS) employing the Harris Hawks Optimization algorithm (HHO) to optimize Multilayer Perceptron learning by optimizing bias and weight parameters.
no code implementations • 15 Feb 2024 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
This approach effectively reduces the performance drop in encoder-only models to an average of 5% in offensive language detection and 2% in misinformation detection tasks.
no code implementations • 9 Feb 2024 • Cristian Ramirez-Atencia, David Camacho
Over the last decade, developments in unmanned aerial vehicles (UAVs) has greatly increased, and they are being used in many fields including surveillance, crisis management or automated mission planning.
no code implementations • 9 Feb 2024 • Cristian Ramirez-Atencia, Gema Bello-Orgaz, Maria D R-Moreno, David Camacho
Mission Planning for UAVs is the process of planning the locations and actions (loading/dropping a load, taking videos/pictures, acquiring information) for the vehicles, typically over a time period.
no code implementations • 11 Dec 2023 • Emma Stevenson, Victor Rodriguez-Fernandez, Hodei Urrutxua, Vincent Morand, David Camacho
This paper presents a novel methodology for improving the performance of machine learning based space traffic management tasks through the use of a pre-trained orbit model.
1 code implementation • 17 Oct 2023 • Javier Huertas-Tato, Alejandro Martin, David Camacho
Additionally, we attain promising results on PAN verification challenges using a single dense layer, with our model serving as an embedding encoder.
no code implementations • 8 Jun 2023 • Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil, Carlos Casanova-Mateo, Julia Sanz-Justo, David Camacho
Each year, wildfires destroy larger areas of Spain, threatening numerous ecosystems.
1 code implementation • 8 Feb 2023 • Victor Rodriguez-Fernandez, David Montalvo, Francesco Piccialli, Grzegorz J. Nalepa, David Camacho
DeepVATS trains, in a self-supervised way, a masked time series autoencoder that reconstructs patches of a time series, and projects the knowledge contained in the embeddings of that model in an interactive plot, from which time series patterns and anomalies emerge and can be easily spotted.
1 code implementation • 27 Dec 2022 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas Tato, David Camacho
In response to this recent ongoing issue, this paper presents an innovative approach to address this linguistic trend in social networks through the simulation of different content evasion techniques and a multilingual Transformer model for content evasion detection.
Multilingual Named Entity Recognition named-entity-recognition +2
1 code implementation • 30 Sep 2022 • Javier Huertas-Tato, Alvaro Huertas-Garcia, Alejandro Martin, David Camacho
The model is evaluated on these datasets, achieving zero-shot 72. 39\% and 86. 73\% accuracy and top-5 accuracy respectively on the joint evaluation dataset when determining authorship from a set of 250 different authors.
no code implementations • 28 Jul 2022 • Helena Liz, Javier Huertas-Tato, Manuel Sánchez-Montañés, Javier Del Ser, David Camacho
To apply these algorithms in different fields and test how the methodology works, we need to use eXplainable AI techniques.
no code implementations • 18 Apr 2022 • Álvaro Huertas-García, Alejandro Martín, Javier Huertas-Tato, David Camacho
The results of this study will significantly contribute to the understanding of how different tuning approaches affect performance on semantic-aware tasks and how dimensional reduction techniques deal with the high-dimensional embeddings computed for the STS task and their potential for highly demanding NLP tasks
no code implementations • 7 Apr 2022 • Javier Huertas-Tato, Alejandro Martin, David Camacho
Our motivation is to provide a powerful resource to better understand Spanish Twitter and to be used on applications focused on this social network, with special emphasis on solutions devoted to tackle the spreading of misinformation in this platform.
no code implementations • 12 Feb 2022 • Leandro A. Passos, Danilo Jodas, Kelton A. P. da Costa, Luis A. Souza Júnior, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa
Recent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos.
no code implementations • 27 Oct 2021 • Alejandro Martín, Javier Huertas-Tato, Álvaro Huertas-García, Guillermo Villar-Rodríguez, David Camacho
Our society produces and shares overwhelming amounts of information through Online Social Networks (OSNs).
no code implementations • 17 Mar 2021 • Javier Huertas-Tato, Alejandro Martín, David Camacho
In this paper, we propose a new architecture called Siamese Inter-Lingual Transformer (SILT), to efficiently align multilingual embeddings for Natural Language Inference, allowing for unmatched language pairs to be processed.
1 code implementation • 20 Dec 2020 • Javier Huertas-Tato, Alejandro Martín, Julián Fierrez, David Camacho
In this paper, an ensemble method is proposed for accurate image classification, fusing automatically detected features through Convolutional Neural Network architectures with a set of manually defined statistical indicators.
no code implementations • 29 Sep 2020 • Helena Liz, Manuel Sánchez-Montañés, Alfredo Tagarro, Sara Domínguez-Rodríguez, Ron Dagan, David Camacho
However, the usability of these systems is limited in medicine due to the lack of interpretability, because of these models cannot be used to generate an understandable explanation (from a human-based perspective), about how they have reached those results.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1
no code implementations • 21 Feb 2020 • David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz, Antonio Gonzalez-Pardo, Erik Cambria
Social network based applications have experienced exponential growth in recent years.
no code implementations • 20 Feb 2020 • Cristian Ramirez-Atencia, Sanaz Mostaghim, David Camacho
Nevertheless, some problems have many objectives which lead to a large number of non-dominated solutions obtained by the optimization algorithms.