Doctorat en Intel·ligència Artificial
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Articles de revista [12]
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Choosing the root of the tree decomposition when solving WCSPs: preliminary results
(IOS Press, 2021)
Conference report
Open AccessIn this paper we analyze the effect of selecting the root in a tree decomposition when using decomposition-based backtracking algorithms. We focus on optimization tasks for Graphical Models using the BTD algorithm. We show ... -
Applying and verifying an explainability method based on policy graphs in the context of reinforcement learning
(IOS Press, 2021)
Conference report
Open AccessThe advancement on explainability techniques is quite relevant in the field of Reinforcement Learning (RL) and its applications can be beneficial for the development of intelligent agents that are understandable by humans ... -
Everything transformers: Recognition, classification and normalisation of professions and family relations
(CEUR-WS.org, 2021)
Conference report
Open AccessThis document describes the system submitted by TALP team for IberLEF 2021’s MEDDOPROF Shared Task. The joint occupation mention identification and family relation classification model is composed of a pre-trained DistilBERT ... -
Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates
(Nature, 2021-09-23)
Article
Open AccessThe COVID-19 pandemic is raging. It revealed the importance of rapid scientific advancement towards understanding and treating new diseases. To address this challenge, we adapt an explainable artificial intelligence algorithm ... -
Linear functional organization of the omic embedding space
(2021-11-01)
Article
Open AccessMotivation: We are increasingly accumulating complex omics data that capture different aspects of cellular functioning. A key challenge is to untangle their complexity and effectively mine them for new biomedical information. ... -
Condition assessment of industrial gas turbine compressor using a drift soft sensor based in autoencoder
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-12)
Article
Open AccessMaintenance is the process of preserving the good condition of a system to ensure its reliability and availability to perform specific operations. The way maintenance is nowadays performed in industry is changing thanks ... -
Real-time multimodal emotion classification system in E-Learning context
(Springer, 2021)
Conference report
Restricted access - publisher's policyEmotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models have been proposed ... -
Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning
(2021-03)
Article
Open AccessOne of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which ... -
Gender bias in multilingual neural machine translation: The architecture matters
(2020-12-24)
External research report
Open AccessMultilingual Neural Machine Translation architectures mainly differ in the amount of sharing modules and parameters among languages. In this paper, and from an algorithmic perspective, we explore if the chosen architecture, ... -
The organisational structure of an agent-based model for the management of wastewater systems
(2021-04-30)
Article
Open AccessWater managers have to deal with complex problems due to the intertwined characteristics of processes, in particular those that occur in wastewater systems. Existing modelling approaches are usually centred in the physical, ... -
Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems
(Elsevier, 2021-06)
Article
Restricted access - publisher's policyThis paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, ... -
Forecastability measures that describe the complexity of a site for deep learning wind predictions
(2021-05-29)
Article
Open AccessThe application of deep learning to wind time series for multi-step prediction obtains good results at short horizons. The accuracy of a wind forecast is highly dependent on the specific structure of wind in the specific ...
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