Alfredo Cuesta-Infante

According to our database1, Alfredo Cuesta-Infante authored at least 16 papers between 2010 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 





Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Learning Representations for Log Data in Cybersecurity.
Proceedings of the Cyber Security Cryptography and Machine Learning, 2017

ATM: A distributed, collaborative, scalable system for automated machine learning.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

Lightweight tracking-by-detection system for multiple pedestrian targets.
Integrated Computer-Aided Engineering, 2016

Markov Switching Copula Models for Longitudinal Data.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Comparative study of meta-heuristic 3D floorplanning algorithms.
Neurocomputing, 2015

Pedestrian Tracking-by-Detection Using Image Density Projections and Particle Filters.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Copula Graphical Models for Wind Resource Estimation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

glUCModel: A monitoring and modeling system for chronic diseases applied to diabetes.
Journal of Biomedical Informatics, 2014

Modeling glycemia in humans by means of Grammatical Evolution.
Appl. Soft Comput., 2014

Clarke and parkes error grid analysis of diabetic glucose models obtained with evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Boosting the 3D thermal-aware floorplanning problem through a master-worker parallel MOEA.
Concurrency and Computation: Practice and Experience, 2013

An evolutionary methodology for automatic design of finite state machines.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

On a generalized name entity recognizer based on Hidden Markov Models.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

(1+2)-evolution strategy for fitting a straight shuffle of min to a dataset.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Bivariate empirical and n-variate Archimedean copulas in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010