Michael SioutisTitle: Postdoctoral Researcher School/office: School of Science and Technology
Phone: +46 19 301325
About Michael Sioutis
Fields of Interest
Articles in journals | Conference papers |
Articles in journals
Kong, S. , Li, S. & Sioutis, M. (2018). Exploring Directional Path-Consistency for Solving Constraint Networks. Computer journal, 61 (9), 1338-1350.
Sioutis, M. , Long, Z. & Li, S. (2018). Leveraging Variable Elimination for Efficiently Reasoning about Qualitative Constraints. International journal on artificial intelligence tools, 27 (4).
Alirezaie, M. , Längkvist, M. , Sioutis, M. & Loutfi, A. (2018). A Symbolic Approach for Explaining Errors in Image Classification Tasks. Paper presented at 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 13-19, 2018.
Sioutis, M. , Paparrizou, A. & Condotta, J. (2017). A Lazy Algorithm to Efficiently Approximate Singleton Path Consistency for Qualitative Constraint Networks. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). Paper presented at IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), NOV 06-08, 2017, Boston, MA (pp. 110-117). Institute of Electrical and Electronics Engineers (IEEE).