An analysis of the structure and evolution of the scientific collaboration network of computer intelligence in games

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (p. 523-536) - 1/2/2014

10.1016/j.physa.2013.10.036 View at source

• ISSN 03784371

• iMarina

Deep learning approach to obtain collaborative filtering neighborhoods

Neural Computing & Applications (p. 2939-2951) - 1/1/2022

10.1007/s00521-021-06493-7 View at source

• ISSN 14333058

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Deep learning feature selection to unhide demographic recommender systems factors

Neural Computing & Applications (p. 7291-7308) - 1/1/2021

10.1007/s00521-020-05494-2 View at source

• ISSN 14333058

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On balance and dynamism in procedural content generation with self-adaptive evolutionary algorithms

Natural Computing (p. 157-168) - 1/1/2014

10.1007/s11047-014-9418-9 View at source

• ISSN 15677818

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CF4J 2.0: Adapting Collaborative Filtering for Java to new challenges of collaborative filtering based recommender systems

Knowledge-Based Systems - 1/1/2021

10.1016/j.knosys.2020.106629 View at source

• ISSN 09507051

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EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

Journal Of Parallel And Distributed Computing (p. 180-191) - 1/7/2018

10.1016/j.jpdc.2017.09.006 View at source

• ISSN 07437315

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Social networks data analysis with semantics: application to the radicalization problem

Journal Of Ambient Intelligence And Humanized Computing - 1/1/2018

10.1007/s12652-018-0968-z View at source

• ISSN 18685137

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Providing reliability in recommender systems through Bernoulli Matrix Factorization

Information Sciences (p. 110-128) - 1/1/2021

10.1016/j.ins.2020.12.001 View at source

• ISSN 00200255

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Android malware detection through hybrid features fusion and ensemble classifiers: The AndroPyTool framework and the OmniDroid dataset

Information Fusion (p. 128-142) - 1/12/2019

10.1016/j.inffus.2018.12.006 View at source

• ISSN 15662535

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Measuring the Radicalisation Risk in Social Networks

Ieee Access (p. 10892-10900) - 1/1/2017

10.1109/access.2017.2706018 View at source

• ISSN 21693536

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A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS game

Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 (p. 298-304) - 16/9/2014

10.1109/cec.2014.6900562 View at source

• iMarina

A review of computational intelligence in RTS games

Proceedings of the 2013 IEEE Symposium on Foundations of Computational Intelligence, FOCI 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 (p. 114-121) - 15/10/2013

10.1109/foci.2013.6602463 View at source

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Ontology uses for radicalisation detection on social networks

Lecture Notes In Computer Science (p. 3-8) - 1/1/2018

10.1007/978-3-030-03496-2_1 View at source

• ISSN 03029743

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Checking the difficulty of evolutionary-generated maps in a N-body inspired mobile game

Communications in Computer and Information Science (p. 206-215) - 1/1/2020

10.1007/978-3-030-41913-4_17 View at source

• ISSN 18650929

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Automatic content generation for a new game based on the problem of three bodies

CEUR Workshop Proceedings (p. 199-210) - 1/1/2014

• ISSN 16130073

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Game artificial intelligence: Challenges for the scientific community

CEUR Workshop Proceedings (p. 1-12) - 1/1/2015

• ISSN 16130073

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Extracting radicalisation behavioural patterns from social network data

20th International Workshop On Database And Expert Systems Applications, Dexa2009 (p. 6-10) - 25/9/2017

10.1109/dexa.2017.18 View at source

• ISSN 15294188

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Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks

2020 Ieee Congress On Evolutionary Computation, Cec 2020 - Conference Proceedings (p. 1-8) - 1/7/2020

10.1109/cec48606.2020.9185914 View at source

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Can an Automatic Tool Assess Risk of Radicalization Online? A Case Study on Facebook

2017 European Intelligence And Security Informatics Conference (Eisic) (p. 165-165) - 26/12/2017

10.1109/eisic.2017.36 View at source

• ISSN 25723723

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A spatially-structured PCG method for content diversity in a physics-based simulation game

14th Conference on Artificial Intelligence in Medicine, AIME 2013 (p. 653-668) - 1/1/2016

10.1007/978-3-319-31204-0_42 View at source

• ISSN 16113349

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