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Matthew Bardeen
Matthew Bardeen
Assistant Professor Computer Science, Universidad de Talca
Verified email at utalca.cl
Title
Cited by
Cited by
Year
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
1122017
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
1112017
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
942011
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
772016
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
692010
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
482016
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
252014
Evaluation of a two-source patch model to estimate vineyard energy balance using high-resolution thermal images acquired by an unmanned aerial vehicle (UAV)
S Ortega-Farias, W Esteban-Condori, C Riveros-Burgos, ...
Agricultural and Forest Meteorology 304, 108433, 2021
142021
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
122015
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
92018
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
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
52004
Lesson from Daisyworld: survival of the stable
MD Bardeen
University of Sussex, 2009
22009
Td-learning and coevolution: Hiding or guiding?
M Bardeen
Master thesis, University of Sussex, 2002
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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