23 citations · 40 across the 6 of their papers we have counts for
6 papers
From domain-landmark graph learning to problem-landmark graph generation
Cristian Pérez-Corral, Antonio Garrido, Laura Sebastia
Landmarks have long played a pivotal role in automated planning, serving as crucial elements for improving the planning algorithms. The main limitation of classical landmark extrac…
Gramian Angular Fields for leveraging pretrained computer vision models with anomalous diffusion trajectories
Òscar Garibo-i-Orts, Nicolás Firbas, Laura Sebastiá +1
Anomalous diffusion is present at all scales, from atomic to large scales. Some exemplary systems are; ultra-cold atoms, telomeres in the nucleus of cells, moisture transport in ce…
Scaling-up Generalized Planning as Heuristic Search with Landmarks
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson +1
Landmarks are one of the most effective search heuristics for classical planning, but largely ignored in generalized planning. Generalized planning (GP) is usually addressed as a c…
Recommendation Systems for Tourism Based on Social Networks: A Survey
Alan Menk, Laura Sebastia, Rebeca Ferreira
Nowadays, recommender systems are present in many daily activities such as online shopping, browsing social networks, etc. Given the rising demand for reinvigoration of the tourist…
Handling PDDL3.0 State Trajectory Constraints with Temporal Landmarks
Eliseo Marzal, Mohannad Babli, Eva Onaindia +1
Temporal landmarks have been proved to be a helpful mechanism to deal with temporal planning problems, specifically to improve planners performance and handle problems with deadlin…
Evaluating the quality of tourist agendas customized to different travel styles
Jesús Ibáñez-Ruiz, Laura Sebastiá, Eva Onaindia
Many tourist applications provide a personalized tourist agenda with the list of recommended activities to the user. These applications must undoubtedly deal with the constraints a…