Matthew Bardeen
Matthew Bardeen
Assistant Professor Computer Science, Universidad de Talca
Verified email at utalca.cl
Title
Cited by
Cited by
Year
The optimization of success probability for software projects using genetic algorithms
F Reyes, N Cerpa, A Candia-Véjar, M Bardeen
Journal of Systems and Software 84 (5), 775-785, 2011
752011
Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV): A case study in a commercial vineyard
C Poblete-Echeverría, GF Olmedo, B Ingram, M Bardeen
Remote Sensing 9 (3), 268, 2017
652017
Evaluating logistic regression models to estimate software project outcomes
N Cerpa, M Bardeen, B Kitchenham, J Verner
Information and Software Technology 52 (9), 934-944, 2010
592010
Artificial neural network to predict vine water status spatial variability using multispectral information obtained from an unmanned aerial vehicle (UAV)
T Poblete, S Ortega-Farías, MA Moreno, M Bardeen
Sensors 17 (11), 2488, 2017
492017
Selecting canopy zones and thresholding approaches to assess grapevine water status by using aerial and ground-based thermal imaging
D Sepúlveda-Reyes, B Ingram, M Bardeen, M Zúñiga, S Ortega-Farías, ...
Remote Sensing 8 (10), 822, 2016
472016
Evaluating different families of prediction methods for estimating software project outcomes
N Cerpa, M Bardeen, CA Astudillo, J Verner
Journal of Systems and Software 112, 48-64, 2016
352016
data mining in electronic commerce–support vs. confidence
C Astudillo, M Bardeen, N Cerpa
Journal of theoretical and applied electronic commerce research 9 (1), 1-7, 2014
192014
technological evolution in society-the evolution of mobile devices
M Bardeen, N Cerpa
Journal of theoretical and applied electronic commerce research 10 (1), 1-7, 2015
92015
A simulated annealing approach for the minmax regret path problem
F Pérez, CA Astudillo, M Bardeen, A Candia-Véjar
Proceedings of the Congresso Latino Americano de Investigación Operativa …, 2012
92012
Algorithms for the minmax regret path problem with interval data
F Pérez-Galarce, A Candia-Véjar, C Astudillo, M Bardeen
Information Sciences 462, 218-241, 2018
72018
Survey of Methods to Prevent Premature Convergence in Evolutionary Algorithms
M Bardeen
Workshop of Natural Computing, Jornadas Chilenas de Computacion 2013, 2013
72013
The value of death in evolution: A lesson from Daisyworld
M Bardeen
Artifical Life IX: Proceedings of the Ninth International Conference on the …, 2004
52004
Lesson from Daisyworld: survival of the stable
MD Bardeen
University of Sussex, 2009
22009
Td-learning and coevolution: Hiding or guiding?
M Bardeen
22002
Patch-level Selection in Darwinian Daisyworld
M Bardeen
Proc. of the Alife XII Conference, Odense, Denmark, 541, 2010
2010
Lessons from Daisyworld
MD Bardeen
2009
The value of death: A lesson from Daisyworld
M Bardeen
The 17 th White House Papers Graduate Research In Informatics at Sussex, 2004
2004
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Articles 1–17