Browsing by Author "Jonsson, Anders, 1973-"

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  • 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 ...
  • Wilhelmi Roca, Francesc; Cano Bastidas, Cristina; Neu, Gergely; Bellalta, Boris; Jonsson, Anders, 1973-; Barrachina Muñoz, Sergio (Elsevier, 2019)
    Next-generation wireless deployments are characterized by being dense and uncoordinated, which often leads to inefficient use of resources and poor performance. To solve this, we envision the utilization of completely ...
  • 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 ...
  • Amarasinghe, Ishari; Hernández Leo, Davinia; Jonsson, Anders, 1973- (Springer, 2019)
    This study presents how predictive analytics can be used to inform the formulation of adaptive collaborative learning groups in the context of Computer Supported Collaborative Learning considering across-spaces learning ...
  • 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 ...
  • Lotinac, Damir (Universitat Pompeu Fabra, 2017-12-14)
    Classical planning is the problem of finding a sequence of actions, from a given initial state to some goal state. While, in generalized planning, a plan is a solution to a set of planning problems, which belong to the ...
  • Wilhelmi Roca, Francesc; Barrachina Muñoz, Sergio; Bellalta, Boris; Cano Bastidas, Cristina; Jonsson, Anders, 1973-; Neu, Gergely (Elsevier, 2019)
    Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to be key in the development of SR solutions for ...
  • 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 ...
  • Segovia Aguas, Javier (Universitat Pompeu Fabra, 2018-10-05)
    Generalized planning is the problem of finding an algorithm-like solution called generalized plan to multiple planning instances. The two main tasks to perform in generalized planning are synthesizing and validating ...
  • 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; Manathunga, Kalpani; Jonsson, Anders, 1973- (Graz University of Technology. Institut für Informationssysteme und Computer Medien (IICM), 2018)
    Collaborative learning spaces deployed in Massive Open Online Courses (MOOCs) provide productive social learning opportunities. However, sustaining collaboration in these spaces is challenging. This paper provides a ...