Ponències/Comunicacions de congressos
Recent Submissions
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Ensemble model-based method for time series sensors’ data validation and imputation applied to a real waste water treatment plant
(International Environmental Modelling and Software Society (iEMSS), 2022)
Conference lecture
Open AccessIntelligent Decision Support Systems (IDSSs) integrate different Artificial Intelligence (AI) techniques with the aim of taking or supporting human-like decisions. To this end, these techniques are based on the available ... -
Recognition of conformational states of a G protein coupled receptor from molecular dynamic simulations using sampling techniques
(Springer, 2023)
Conference report
Restricted access - publisher's policyProtein structures are complex and dynamic entities relevant to many biological processes. G-protein-coupled receptors in particular are a functionally relevant family of cell membrane proteins of interest as targets in ... -
Translate first reorder later: leveraging monotonicity in semantic parsing
(Association for Computational Linguistics, 2023)
Conference report
Open AccessPrior work in semantic parsing has shown that conventional seq2seq models fail at compositional generalization tasks. This limitation led to a resurgence of methods that model alignments between sentences and their ... -
Adding preferences and moral values in an agent-based simulation framework for high-performance computing
(2023)
Conference report
Open AccessAgent-Based Simulation is a suitable approach used now-a-days to simulate and analyze complex societal environments and scenarios. Current Agent-Based Simulation frameworks either scale quite well in computation but implement ... -
Explainable agents adapt to human behaviour
(2023)
Conference report
Open AccessWhen integrating artificial agents into physical or digital environments that are shared with humans, agents are often equipped with opaque Machine Learning methods to enable adapting their behaviour to dynamic human needs ... -
Morphological symmetries in robot learning
(OpenReview.net, 2023)
Conference report
Open AccessThis work studies the impact of morphological symmetries in learning applications in robotics. Morphological symmetries are a predominant feature in both biological and robotic systems, arising from the presence of planes/axis ... -
Platform-portable reinforcement learning methods to localize underwater targets
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessIn this study, we present a platform-portable deep reinforcement learning method that has been used as a path-planning system to localize underwater objects with autonomous vehicles. -
TransfQMix: transformers for leveraging the graph structure of multi-agent reinforcement learning problems
(Association for Computing Machinery (ACM), 2023)
Conference report
Open AccessCoordination is one of the most difficult aspects of multi-agent reinforcement learning (MARL). One reason is that agents normally choose their actions independently of one another. In order to see coordination strategies ... -
Analyzing multiple conflicts in SAT: an experimental evaluation
(EasyChair Publications, 2023)
Conference report
Open AccessUnit propagation and conflict analysis are two essential ingredients of CDCL SAT Solving. The order in which unit propagation is computed does not matter when no conflict is found, because it is well known that there exists ... -
Animation fidelity in self-avatars: impact on user performance and sense of agency
(Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessThe use of self-avatars is gaining popularity thanks to affordable VR headsets. Unfortunately, mainstream VR devices often use a small number of trackers and provide low-accuracy animations. Previous studies have shown ... -
Effective user studies in computer graphics
(European Association for Computer Graphics (Eurographics), 2023)
Conference lecture
Open AccessUser studies are a useful tool for researchers, allowing them to collect data on how users perceive, interact with and process different types of sensory information. If planned in advance, user experiments can be leveraged ... -
Federated learning with exponentially weighted moving average for real-time emotion classification
(Springer, 2022)
Conference report
Restricted access - publisher's policyFederated learning (FL) allows to develop a powerful shared prediction model while preserving the users' privacy by keeping the data local. In particular it is a useful framework to use resource-constrained edge computing ...
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