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A comprehensive survey: artificial bee colony (ABC) algorithm and applications
by Karaboga, Dervis
The Artificial intelligence review, 2012-03-11, Vol.42 (1), p.21-57
2.
The “Reading the Mind in the Eyes” Test in Autism-Spectrum Disorders Comparison with Healthy Controls: A Systematic Review and Meta-analysis
by Peñuelas-Calvo, Inmaculada
Journal of autism and developmental disorders, 2018-11-07, Vol.49 (3), p.1048-1061
3.
Analyzing business process anomalies using autoencoders
by Nolle, Timo
Machine learning, 2018-04-27, Vol.107 (11), p.1875-1893
4.
A survey: algorithms simulating bee swarm intelligence
by Karaboga, Dervis
The Artificial intelligence review, 2009-10-28, Vol.31 (1-4), p.61-85
5.
Business Intelligence and Analytics: From Big Data to Big Impact
by Chen, Hsinchun
MIS quarterly, 2012-12-01, Vol.36 (4), p.1165-1188
6.
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
by Muggleton, Stephen H
Machine learning, 2018-05-07, Vol.107 (7), p.1119-1140
7.
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
by Komorowski, Matthieu
Nature medicine, 2018-11, Vol.24 (11), p.1716-1720
9.
Brain storm optimization algorithm: a review
by Cheng, Shi
The Artificial intelligence review, 2016-02-26, Vol.46 (4), p.445-458
10.
Exploring the effect of microdosing psychedelics on creativity in an open-label natural setting
by Prochazkova, Luisa
Psychopharmacology, 2018-10-25, Vol.235 (12), p.3401-3413
11.
Intellectual ability and cortical development in children and adolescents
by Shaw, P
Nature, 2006-03-30, Vol.440 (7084), p.676-679
12.
Does WISC-IV Underestimate the Intelligence of Autistic Children?
by Nader, Anne-Marie
Journal of autism and developmental disorders, 2014-10-12, Vol.46 (5), p.1582-1589
13.
MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud
by Abbasi, Ahmed
MIS quarterly, 2012-12-01, Vol.36 (4), p.1293-1327
14.
Applications of quantum inspired computational intelligence: a survey
by Manju, A
The Artificial intelligence review, 2012-05-09, Vol.42 (1), p.79-156
15.
Peabody Picture Vocabulary Test: Proxy for Verbal IQ in Genetic Studies of Autism Spectrum Disorder
by Krasileva, Kate E
Journal of autism and developmental disorders, 2017-01-28, Vol.47 (4), p.1073-1085
16.
Artificial intelligence applications in upper gastrointestinal cancers – Authors' reply
by Luo, Huiyan
The lancet oncology, 2020-01, Vol.21 (1), p.e5-e5
17.
Author Correction: Reporting guidelines for clinical trials evaluating artificial intelligence interventions are needed
by Liu, Xiaoxuan
Nature medicine, 2019-12, Vol.25 (12), p.1948-1948
18.
Publisher Correction: Artificial intelligence aims to improve cancer screenings in Kenya
by Wetsman, Nicole
Nature medicine, 2019-12, Vol.25 (12), p.1949-1949
19.
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
by Muggleton, Stephen H
Machine learning, 2015-03-12, Vol.100 (1), p.49-73
20.
Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications
by Neshat, Mehdi
The Artificial intelligence review, 2012-05-06, Vol.42 (4), p.965-997
