Background and activities

Area of research

My research is on computational structures for helping people making clever decision when faced with uncertainty. In paricular, I work with

  • Probabilistic graphical models, in particular Bayesian networks
  • Decision support systems 
  • Bayesian methods
  • Machine learning

Research group:  Intelligent systems

Homepage: www.idi.ntnu.no/~helgel/

 

Scientific, academic and artistic work

A selection of recent journal publications, artistic productions, books, including book and report excerpts. See all publications in the database

2018

2017

2016

  • Masegosa, Andres R.; Martinez, Ana M.; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Ramos-López, Dario; Madsen, Anders L.. (2016) d-VMP: Distributed Variational Message Passing. Journal of machine learning research. vol. 55.
  • Ramos-López, Dario; Salmeron, Antonio; Rumi, Rafael; Martinez, Ana M.; Nielsen, Thomas D.; Masegosa, Andres R.; Langseth, Helge; Madsen, Anders L.. (2016) Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Journal of machine learning research. vol. 52.
  • Salmerón, Antonio; Madsen, Anders L.; Jensen, Frank; Langseth, Helge; Nielsen, Thomas D.; Ramos-López, Dario; Martínez, Ana M.; Masegosa, Andres R.. (2016) Parallel filter-based feature selection based on balanced incomplete block designs. Frontiers in Artificial Intelligence and Applications. vol. 285.

2015