Welcome to the UPF Digital Repository

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Jonsson, Anders, 1973-"

Browsing Congressos (Departament de Tecnologies de la Informació i les Comunicacions) by Author "Jonsson, Anders, 1973-"

Sort by: Order: Results:

  • Nunes, Cecília; De Craene, Mathieu; Langet, Hélène; Camara, Oscar; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Decision trees (DTs) are a widely used prediction tool, owing to their interpretability. Standard learning methods follow a locally-optimal approach that trades off prediction performance for computational efficiency. Such ...
  • Lotinac, Damir; Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI), 2016)
    In many domains generalized plans can only/nbe computed if certain high-level state features,/ni.e. features that capture key concepts to accurately/ndistinguish between states and make good decisions,/nare available. In ...
  • Furelos Blanco, Daniel; Bucchiarone, Antonio; Jonsson, Anders, 1973- (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018)
    In this paper we present the CARPooL demonstrator, an implementation of a Collective Adaptation Engine (CAE) that addresses the challenge of collective adaptation in the smart mobility domain. CARPooL resolves adaptation ...
  • Bucchiarone, Antonio; Furelos Blanco, Daniel; Jonsson, Anders, 1973-; Khandokar, Fahmida; Mourshed, Monjur (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018)
  • Jonsson, Anders, 1973-; Lotinac, Damir (IOS Press, 2016)
    Hierarchical Task Networks (HTNs) are a common model for encoding knowledge about planning domains in the form of task decompositions. We present a novel algorithm that uses invariant analysis to construct an HTN from the ...
  • Nikbakht, Rasoul; Jonsson, Anders, 1973-; Lozano Solsona, Angel (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    We present a measurement-driven algorithm to map the large-scale channel losses observed between a cellular base station and any point in its coverage area. The algorithm is on-line, meaning that it operates on continuously ...
  • Furelos Blanco, Daniel; Jonsson, Anders, 1973-; Palacios Verdes, Héctor Luis; Jiménez, Sergio (Association for the Advancement of Artificial Intelligence (AAAI) - Congrés ICAPS17, 2018)
    In this paper we describe STP, a novel algorithm for temporal planning. Similar to several existing temporal planners, STP relies on a transformation from temporal planning to classical planning, and constructs a temporal ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (IJCAI, 2017)
    This paper presents a novel approach for generating Context-Free Grammars (CFGs) from small sets of input strings (a single input string in some cases). Our approach is to compile this task into a classical planning ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI), 2016)
    Finite State Controllers (FSCs) are an effective way/nto represent sequential plans compactly. By imposing/nappropriate conditions on transitions, FSCs/ncan also represent generalized plans that solve a/nrange of planning ...
  • Wilhelmi Roca, Francesc; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Reinforcement Learning is gaining attention by the wireless networking community due to its potential to learn good-performing configurations only from the observed results. In this work we propose a stateless variation ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (IEEE, 2017)
    Well-structured collaborative learning groups scripted based on Collaborative Learning Flow Patterns (CLFPs) often result in successful collaborative learning outcomes. Formulation of such learner groups based on instructor ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (2017)
    Learner group formation manually based on multiple criteria often fails due to its complexity and time limitations of practitioners. This paper presents a novel binary integer programming approach which models learner ...
  • Font Sola, Octavi; Francès, Guillem; Jonsson, Anders, 1973-; Bartie, Phil; Mackaness, William (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    In this paper we present a novel probabilistic approach to activity recognition. Our approach is to estimate posterior probabilities of different activities using Bayes' rule. The approach can handle any type of activities ...
  • Furelos Blanco, Daniel; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI) - Congrés ICAPS17, 2018)
    In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concurrent multiagent planning to classical ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (2017)
    Learning via collaboration has gained much success over past few decades given their learning benefits. Group composition has been seen as a relevant design element that contributes to the potential effectiveness of ...
  • Segovia-Aguas, Javier; Jiménez, Sergio; Jonsson, Anders, 1973- (Association for the Advancement of Artificial Intelligence (AAAI), 2017)
    In this paper we introduce a novel approach for unsupervised classification of planning instances based on the recent formalism of planning programs. Our approach is inspired by structured prediction in machine learning, ...

Search DSpace


Advanced Search

Browse

My Account

Compliant to Partaking