Department of Computer Science and Artificial Intelligence

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#	Title	Journal	Year	Citations
1	Machine learning in bioinformatics	Briefings in Bioinformatics	2006	674
2	A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments	Journal of Grid Computing	2014	470
3	Filter versus wrapper gene selection approaches in DNA microarray domains	Artificial Intelligence in Medicine	2004	367
4	Structure learning of Bayesian networks by genetic algorithms: a performance analysis of control parameters	IEEE Transactions on Pattern Analysis and Machine Intelligence	1996	294
5	Bayesian classifiers based on kernel density estimation: Flexible classifiers	International Journal of Approximate Reasoning	2009	117
6	A review on evolutionary algorithms in Bayesian network learning and inference tasks	Information Sciences	2013	110
7	Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes	International Journal of Approximate Reasoning	2006	95
8	Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy	Nature Communications	2019	75
9	A review on probabilistic graphical models in evolutionary computation	Journal of Heuristics	2012	70
10	Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS	Journal of Biomedical Informatics	2005	69
11	Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms	Statistics and Computing	1997	67
12	Predicting survival in malignant skin melanoma using Bayesian networks automatically induced by genetic algorithms. An empirical comparison between different approaches	Artificial Intelligence in Medicine	1998	64
13	A review of estimation of distribution algorithms in bioinformatics	BioData Mining	2008	61
14	Learning Bayesian classifiers from positive and unlabeled examples	Pattern Recognition Letters	2007	59
15	Learning Bayesian networks in the space of structures by estimation of distribution algorithms	International Journal of Intelligent Systems	2003	58
16	Mathematical modelling of UMDAc algorithm with tournament selection. Behaviour on linear and quadratic functions	International Journal of Approximate Reasoning	2002	57
17	Video Activity Recognition: State-of-the-Art	Sensors	2019	55
18	Bayesian classification for the selection of in vitro human embryos using morphological and clinical data	Computer Methods and Programs in Biomedicine	2008	54
19	Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data	Artificial Intelligence in Medicine	2001	53
20	Feature subset selection by genetic algorithms and estimation of distribution algorithms	Artificial Intelligence in Medicine	2001	45
21	Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms	European Journal of Operational Research	2006	42
22	An improved Bayesian structural EM algorithm for learning Bayesian networks for clustering	Pattern Recognition Letters	2000	41
23	Gene Expression Profiling in Limb-Girdle Muscular Dystrophy 2A	PLoS ONE	2008	41
24	Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks	Evolutionary Computation	2005	40
25	Identification of a biomarker panel for colorectal cancer diagnosis	BMC Cancer	2012	40
26	Bayesian network multi-classifiers for protein secondary structure prediction	Artificial Intelligence in Medicine	2004	38
27	On the use of Bayesian Networks to develop behaviours for mobile robots	Robotics and Autonomous Systems	2007	38
28	Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction	Machine Learning	2002	35
29	A Multiobjective Approach to the Portfolio Optimization Problem		0	35
30	A Method for Detecting Coffee Leaf Rust through Wireless Sensor Networks, Remote Sensing, and Deep Learning: Case Study of the Caturra Variety in Colombia	Applied Sciences (Switzerland)	2020	35
31	Side chain placement using estimation of distribution algorithms	Artificial Intelligence in Medicine	2007	34
32	Combining variable neighborhood search and estimation of distribution algorithms in the protein side chain placement problem	Journal of Heuristics	2008	34
33	Layered architecture for real time sign recognition: Hand gesture and movement	Engineering Applications of Artificial Intelligence	2010	34
34	RGB-D, Laser and Thermal Sensor Fusion for People following in a Mobile Robot	International Journal of Advanced Robotic Systems	2013	33
35	Predictive Maintenance on the Machining Process and Machine Tool	Applied Sciences (Switzerland)	2020	33
36	Learning to traverse doors using visual information	Mathematics and Computers in Simulation	2002	28
37	Research topics in discrete estimation of distribution algorithms based on factorizations	Memetic Computing	2009	28
38	Using Multidimensional Bayesian Network Classifiers to Assist the Treatment of Multiple Sclerosis	IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews	2012	27
39	UNSUPERVISED LEARNING OF BAYESIAN NETWORKS VIA ESTIMATION OF DISTRIBUTION ALGORITHMS: AN APPLICATION TO GENE EXPRESSION DATA CLUSTERING	International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems	2004	26
40	Towards a Greener Cloud Infrastructure Management using Optimized Placement Policies	Journal of Grid Computing	2015	26
41	Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data	Pattern Recognition Letters	1997	25
42	LEARNING BAYESIAN NETWORKS IN THE SPACE OF ORDERINGS WITH ESTIMATION OF DISTRIBUTION ALGORITHMS	International Journal of Pattern Recognition and Artificial Intelligence	2004	25
43	Learning Bayesian networks for clustering by means of constructive induction	Pattern Recognition Letters	1999	24
44	A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images	Sensors	2011	24
45	Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers	Computer Methods and Programs in Biomedicine	2008	23
46	Histogram distance-based Bayesian Network structure learning: A supervised classification specific approach	Decision Support Systems	2009	23
47	Regularized continuous estimation of distribution algorithms	Applied Soft Computing Journal	2013	23
48	Wrapper discretization by means of estimation of distribution algorithms	Intelligent Data Analysis	2007	22
49	Learning Factorizations in Estimation of Distribution Algorithms Using Affinity Propagation	Evolutionary Computation	2010	22
50	Genetic structure among black grouse in Britain: implications for designing conservation units	Animal Conservation	2011	22

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