Anis Yazidi
Anis Yazidi
Professor, AI Lab, Oslo Metropolitan University
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Service selection in stochastic environments: a learning-automaton based solution
A Yazidi, OC Granmo, BJ Oommen
Applied Intelligence 36 (3), 617-637, 2012
Crowd models for emergency evacuation: A review targeting human-centered sensing
J Radianti, OC Granmo, N Bouhmala, P Sarshar, A Yazidi, J Gonzalez
2013 46th Hawaii International Conference on System Sciences, 156-165, 2013
A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme
A Yazidi, OC Granmo, BJ Oommen, M Goodwin
IEEE transactions on cybernetics 44 (11), 2202-2220, 2014
Constructing sentiment lexicons in Norwegian from a large text corpus
A Bai, H Hammer, A Yazidi, P Engelstad
2014 IEEE 17th international conference on computational science and …, 2014
An adaptive approach to learning the preferences of users in a social network using weak estimators
BJ Oommen, A Yazidi, OC Granmo
Journal of Information Processing Systems 8 (2), 191-212, 2012
A user-centric approach for personalized service provisioning in pervasive environments
A Yazidi, OC Granmo, BJ Oommen, M Gerdes, F Reichert
Wireless Personal Communications 61 (3), 543-566, 2011
Learning-automaton-based online discovery and tracking of spatiotemporal event patterns
A Yazidi, OC Granmo, BJ Oommen
IEEE transactions on cybernetics 43 (3), 1118-1130, 2012
A learning automaton-based scheme for scheduling domestic shiftable loads in smart grids
R Thapa, L Jiao, BJ Oommen, A Yazidi
IEEE Access 6, 5348-5361, 2017
Multiplicative update methods for incremental quantile estimation
A Yazidi, H Hammer
IEEE transactions on cybernetics 49 (3), 746-756, 2017
Automatic security classification with lasso
PE Engelstad, H Hammer, KW Kongsgård, A Yazidi, NA Nordbotten, A Bai
International Workshop on Information Security Applications, 399-410, 2015
Building sentiment lexicons applying graph theory on information from three norwegian thesauruses
H Hammer, A Bai, A Yazidi, P Engelstad
Norsk IKT-konferanse for forskning og utdanning, 2014
A machine learning approach to TCP state monitoring from passive measurements
DH Hagos, PE Engelstad, A Yazidi, Ø Kure
2018 Wireless Days (WD), 164-171, 2018
Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus
H Hammer, A Yazidi, A Bai, P Engelstad
IFIP International Conference on Computer Science and its Applications, 205-216, 2015
A pattern recognition approach for peak prediction of electrical consumption
M Goodwin, A Yazidi
Integrated computer-aided engineering 23 (2), 101-113, 2016
Dynamic ordering of firewall rules using a novel swapping window-based paradigm
R Mohan, A Yazidi, B Feng, BJ Oommen
Proceedings of the 6th International Conference on Communication and Network …, 2016
General TCP state inference model from passive measurements using machine learning techniques
DH Hagos, PE Engelstad, A Yazidi, Ø Kure
IEEE Access 6, 28372-28387, 2018
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata
A Jobava, A Yazidi, BJ Oommen, K Begnum
Journal of computational science 24, 290-312, 2018
Automatic security classification by machine learning for cross-domain information exchange
H Hammer, KW Kongsgård, A Bai, A Yazidi, NA Nordbotten, PE Engelstad
MILCOM 2015-2015 IEEE Military Communications Conference, 1590-1595, 2015
Advanced classification lists (dirty word lists) for automatic security classification
PE Engelstad, H Hammer, A Yazidi, A Bai
2015 International Conference on Cyber-Enabled Distributed Computing and …, 2015
Novel discretized weak estimators based on the principles of the stochastic search on the line problem
A Yazidi, BJ Oommen
IEEE transactions on cybernetics 46 (12), 2732-2744, 2016
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