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Supervised non-parametric discretization based on Kernel density estimation

Flores, J.L.; Calvo, B.; Pérez, A.

(2019-12-19)

Nowadays, machine learning algorithms can be found in many applications where the classifiers play a key role. In this context, discretizing continuous attributes is a common step previous to classification tasks, the main ...

Soft information for localization-of-things

Conti, A.; Mazuelas, S.

; Bartoletti, S.; Lindsey, W.C; Win, M. (2019-11-01)

Location awareness is vital for emerging Internetof- Things applications and opens a new era for Localizationof- Things. This paper first reviews the classical localization techniques based on single-value metrics, such ...

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

Del Ser, J.

; Benítez-Hidalgo, A.; J. Nebro, A.; García-Nieto, J.; Oregi, I. (2019-10-31)

This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques. Building upon our experiences with the well-known jMetal framework, we have developed ...

An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit

Shirazi, A.

; Ceberio, J.; Lozano, J.A.

(2019-09-18)

In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach , the Lambert problem is expanded towards a discretized ...

Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework

Carreño, A.

; Inza, I.; Lozano, J.A.

(2019-09-01)

In recent years, a variety of research areas have contributed to a set of related problems with rare event, anomaly, novelty and outlier detection terms as the main actors. These multiple research areas have created a ...

Crowd-Centric Counting via Unsupervised Learning

Morselli, F.; Bartoletti, S.; Mazuelas, S.

; Win, M.; Conti, A. (2019-07-11)

Counting targets (people or things) within a moni-tored area is an important task in emerging wireless applications,including those for smart environments, safety, and security.Conventional device-free radio-based ...

Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms

Shirazi, A.

; Ceberio, J.; Lozano, J.A.

(2019-07-01)

In this paper, a direct approach is presented to tackle the multi-impulse rendezvous problem considering the impulse limit. Particularly, the standard Lambert problem is extended toward several consequential orbit transfers ...

Approaching the Quadratic Assignment Problem with Kernels of Mallows Models under the Hamming Distance

Arza, E.

; Ceberio, J.; Pérez, A.

; Irurozki, E. (2019-07)

The Quadratic Assignment Problem (QAP) is a specially challenging permutation-based np-hard combinatorial optimization problem, since instances of size $n>40$ are seldom solved using exact methods. In this sense, many ...

A mathematical analysis of edas with distance-based exponential models

Unanue, I.; Merino, M.

; Lozano, J.A.