• English
    • Basque
    • español
  • English 
    • English
    • Basque
    • español
  • Login
Search 
  •   BIRD Home
  • Data Science (DS)
  • Search
  •   BIRD Home
  • Data Science (DS)
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filtros

Use filtros para refinar sus resultados.

Now showing items 1-10 of 73

  • Opciones de clasificación:
  • Relevancia
  • Título Asc
  • Título Desc
  • Fecha Asc
  • Fecha Desc
  • Resultados por página:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Learning the progression patterns of treatments using a probabilistic generative model 

Zaballa, O.Autoridad BCAM; Pérez, A.Autoridad BCAM; Gómez-Inhiesto, E.; Acaiturri-Ayesta, T.; Lozano, J.A.Autoridad BCAM (2022-12-15)
Modeling a disease or the treatment of a patient has drawn much attention in recent years due to the vast amount of information that Electronic Health Records contain. This paper presents a probabilistic generative model ...
Thumbnail

Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2022-10-09)
In this paper, a direct approach is developed for discovering optimal transfer trajectories of close-range rendezvous of satellites considering disturbances in elliptical orbits. The control vector representing the inputs ...
Thumbnail

A mathematical analysis of EDAs with distance-based exponential models 

Unanue, I.; Merino, M.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-09-01)
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying ...
Thumbnail

Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization 

Martinez, M.Autoridad BCAM; García-Gutierrez, S.; Armañanzas, R.Autoridad BCAM; Díaz, A.; Inza, I.; Lozano, J.A.Autoridad BCAM (2022-07-09)
The COVID-19 pandemic is continuously evolving with drastically changing epidemiological situations which are approached with different decisions: from the reduction of fatalities to even the selection of patients with the ...
Thumbnail

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees 

Alvarez, V.; Mazuelas, S.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-07)
The statistical characteristics of instance-label pairs often change with time in practical scenarios of supervised classification. Conventional learning techniques adapt to such concept drift accounting for a scalar rate ...
Thumbnail

An active adaptation strategy for streaming time series classification based on elastic similarity measures 

Oregi, I.; Pérez, A.Autoridad BCAM; Del Ser, J.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-05-21)
In streaming time series classification problems, the goal is to predict the label associated to the most recently received observations over the stream according to a set of categorized reference patterns. In on-line ...
Thumbnail

Time Series Classifier Recommendation by a Meta-Learning Approach 

Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022-03-26)
This work addresses time series classifier recommendation for the first time in the literature by considering several recommendation forms or meta-targets: classifier accuracies, complete ranking, top-M ranking, best set ...
Thumbnail

EDA++: Estimation of Distribution Algorithms with Feasibility Conserving Mechanisms for Constrained Continuous Optimization 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2022-02-25)
Handling non-linear constraints in continuous optimization is challenging, and finding a feasible solution is usually a difficult task. In the past few decades, various techniques have been developed to deal with linear ...
Thumbnail

Ad-Hoc Explanation for Time Series Classification 

Abanda, A.Autoridad BCAM; Mori, U.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2022)
In this work, a perturbation-based model-agnostic explanation method for time series classification is presented. One of the main novelties of the proposed method is that the considered perturbations are interpretable and ...
Thumbnail

Analysis of Dominant Classes in Universal Adversarial Perturbations 

Vadillo, J.; Santana, R.; Lozano, J.A.Autoridad BCAM (2022)
The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many differ- ent strategies can be employed to efficiently generate adversarial attacks, some ...
  • 1
  • 2
  • 3
  • 4
  • . . .
  • 8

DSpace software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback
 

 

Browse

All of BIRDCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CommunityBy Issue DateAuthorsTitlesSubjects

My Account

Login

Descubre

Author
Lozano, J.A. (73)
Pérez, A. (15)Mendiburu, A. (14)Ceberio, J. (13)Inza, I. (11)Santana, R. (11)Mori, U. (9)Shirazi, A. (7)Del Ser, J. (5)Merino, M. (5)... másSubjectAerospace Engineering (6)Evolutionary Algorithm (6)Optimization (6)Spacecraft (6)Estimation of Distribution Algorithms (4)K-means++ (3)Space Rendezvous (3)Time series (3)time series (3)Adversarial examples (2)... másFecha2022 (11)2021 (10)2020 (7)2019 (16)2018 (8)2017 (14)2016 (6)2015 (1)

DSpace software copyright © 2002-2022  LYRASIS
Contact Us | Send Feedback