1.
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
by Komorowski, Matthieu
Nature medicine, 2018, Vol.24 (11), p.1716-1720

2.
Ultra-Strong Machine Learning: comprehensibility of programs learned with ILP
by Muggleton, Stephen H
Machine learning, 2018, Vol.107 (7), p.1119-1140

3.
A comprehensive survey: artificial bee colony (ABC) algorithm and applications
by Karaboga, Dervis
The Artificial intelligence review, 2012, Vol.42 (1), p.21-57

4.
Learning from positive and unlabeled data: a survey
by Bekker, Jessa
Machine learning, 2020, Vol.109 (4), p.719-760

5.
A survey on semi-supervised learning
by van Engelen, Jesper E
Machine learning, 2019, Vol.109 (2), p.373-440

6.
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
by Muggleton, Stephen H
Machine learning, 2015, Vol.100 (1), p.49-73

7.
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
by Vasey, Baptiste
Nature medicine, 2021, Vol.27 (2), p.186-187

8.
Analyzing business process anomalies using autoencoders
by Nolle, Timo
Machine learning, 2018, Vol.107 (11), p.1875-1893

9.
Ensemble-based classifiers
by Rokach, Lior
The Artificial intelligence review, 2009, Vol.33 (1-2), p.1-39

10.
Adaptive random forests for evolving data stream classification
by Gomes, Heitor M
Machine learning, 2017, Vol.106 (9-10), p.1469-1495

11.
Optimal classification trees
by Bertsimas, Dimitris
Machine learning, 2017, Vol.106 (7), p.1039-1082

12.
Aggregating Algorithm for prediction of packs
by Adamskiy, Dmitry
Machine learning, 2019, Vol.108 (8-9), p.1231-1260

13.
Vision based hand gesture recognition for human computer interaction: a survey
by Rautaray, Siddharth S
The Artificial intelligence review, 2012, Vol.43 (1), p.1-54

14.
Computational trust and reputation models for open multi-agent systems: a review
by Pinyol, Isaac
The Artificial intelligence review, 2011, Vol.40 (1), p.1-25

15.
Analysis of classifiers’ robustness to adversarial perturbations
by Fawzi, Alhussein
Machine learning, 2017, Vol.107 (3), p.481-508

16.
High-dimensional Bayesian optimization using low-dimensional feature spaces
by Moriconi, Riccardo
Machine learning, 2020, Vol.109 (9-10), p.1925-1943

17.
Regularisation of neural networks by enforcing Lipschitz continuity
by Gouk, Henry
Machine learning, 2020, Vol.110 (2), p.393-416

18.
Metalearning: a survey of trends and technologies
by Lemke, Christiane
The Artificial intelligence review, 2013, Vol.44 (1), p.117-130

19.
Visual simultaneous localization and mapping: a survey
by Fuentes-Pacheco, Jorge
The Artificial intelligence review, 2012, Vol.43 (1), p.55-81

20.
A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms
by Civicioglu, Pinar
The Artificial intelligence review, 2011, Vol.39 (4), p.315-346
