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Spatiotemporal information coupling in network navigation
(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 ...
Theoretical and Methodological Advances in Semi-supervised Learning and the Class-Imbalance Problem
(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 ...
A review on distance based time series classification
(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 ...
Application of machine learning techniques to weather forecasting
(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 ...
Crowd Learning with Candidate Labeling: an EM-based Solution
(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 ...
Bayesian inference for algorithm ranking analysis
(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 ...
Distance-based exponential probability models on constrained combinatorial optimization problems
(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 ...
Detection of Sand Dunes on Mars Using a Regular Vine-based Classification Approach
(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 ...
Soft range information for network localization
(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 ...
Are the artificially generated instances uniform in terms of difficulty?
(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 ...