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Spatiotemporal information coupling in network navigation 

Mazuelas, S.Autoridad BCAM; Shen, Y.; Win, Z. (2018-12)
Network navigation, encompassing both spatial and temporal cooperation to locate mobile agents, is a key enabler for numerous emerging location-based applications. In such cooperative networks, the positional information ...
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Theoretical and Methodological Advances in Semi-supervised Learning and the Class-Imbalance Problem 

Ortigosa-Hernandez, J. (2018-11-30)
his paper focuses on the theoretical and practical generalization of two known and challenging situations from the field of machine learning to classification problems in which the assumption of having a single binary class ...
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A review on distance based time series classification 

Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2018-11-01)
Time series classification is an increasing research topic due to the vast amount of time series data that is being created over a wide variety of fields. The particularity of the data makes it a challenging task and ...
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Application of machine learning techniques to weather forecasting 

Rozas Larraondo, P. (2018-10-24)
Weather forecasting is, still today, a human based activity. Although computer simulations play a major role in modelling the state and evolution of the atmosphere, there is a lack of methodologies to automate the ...
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Crowd Learning with Candidate Labeling: an EM-based Solution 

Beñaran-Muñoz, I.Autoridad BCAM; Hernández-González, J.; Pérez, A.Autoridad BCAM (2018-09-27)
Crowdsourcing is widely used nowadays in machine learning for data labeling. Although in the traditional case annotators are asked to provide a single label for each instance, novel approaches allow annotators, in case ...
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Bayesian inference for algorithm ranking analysis 

Calvo, B.; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2018-08-30)
The statistical assessment of the empirical comparison of algorithms is an essential step in heuristic optimization. Classically, researchers have relied on the use of statistical tests. However, recently, concerns about ...
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Distance-based exponential probability models on constrained combinatorial optimization problems 

Ceberio, J.; Mendiburu, A.; Lozano, J.A.Autoridad BCAM (2018-08-30)
Estimation of distribution algorithms have already demonstrated their utility when solving a broad range of combinatorial problems. However, there is still room for methodological improvements when approaching constrained ...
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Detection of Sand Dunes on Mars Using a Regular Vine-based Classification Approach 

Carrera, D.; Bandeira, L.; Santana, R.; Lozano, J.A.Autoridad BCAM (2018-08)
This paper deals with the problem of detecting sand dunes from remotely sensed images of the surface of Mars. We build on previous approaches that propose methods to extract informative features for the classification of ...
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Soft range information for network localization 

Mazuelas, S.Autoridad BCAM; Conti, A.; Allen, J.C.; Win, M.Z. (2018-06-15)
The demand for accurate localization in complex environments continues to increase despite the difficulty in extracting positional information from measurements. Conventional range-based localization approaches rely on ...
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Are the artificially generated instances uniform in terms of difficulty? 

Pérez, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2018-06)
In the field of evolutionary computation, it is usual to generate artificial benchmarks of instances that are used as a test-bed to determine the performance of the algorithms at hand. In this context, a recent work on ...
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AuthorLozano, J.A. (8)Ceberio, J. (5)Cernuda, C. (2)Hernández-González, J. (2)Mazuelas, S. (2)Mendiburu, A. (2)Pérez, A. (2)Santana, R. (2)Abanda, A. (1)Allen, J.C. (1)... másSubjectAerospace Engineering (1)Astrodynamics (1)Auto-scaling policies (1)Biased annotations (1)Candidate labeling (1)Cloud computing (1)Combinatorial optimization problems (1)Crowdsourced labels (1)data preprocessing, incremental Mahalanobis distance update, signal processing, feature selection, feature extraction, discretization, imbalance data treatment (1)difficulty (1)... másFecha
2018 (16)

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