• A cheap feature selection approach for the K -means algorithm 

  Capo, M.; Perez, A.; Lozano, J.A. (2021-05)

  The increase in the number of features that need to be analyzed in a wide variety of areas, such as genome sequencing, computer vision or sensor networks, represents a challenge for the K-means algorithm. In this regard, ...

• Targeting Impaired Antimicrobial Immunity in the Brain for the Treatment of Alzheimer’s Disease 

  Fülöp, T.; Tripathi, S.; Rodrigues, S.; Desroches, M.; Bunt, T.; Eiser, A.; Bernier, F.; Beauregard, P.; Barron, A.; Khalil, A.; Plotka, A.; Hirokawa, K.; Larbi, A.; Bocti, C.; Laurent, B.; Frost, E.; Witkowski, J. (2021-05-04)

  Alzheimer’s disease (AD) is the most common form of dementia and aging is the most common risk factor for developing the disease. The etiology of AD is not known but AD may be considered as a clinical syndrome with multiple ...

• Spike-adding and reset-induced canard cycles in adaptive integrate and fire models 

  Desroches, M.; Kowalczyk, P.; Rodrigues, S. (2021-05-03)

  We study a class of planar integrate and fire (IF) models called adaptive integrate and fire (AIF) models, which possesses an adaptation vari- able on top of membrane potential, and whose subthreshold dynamics is piece- ...

• Statistical model for reproducibility in ranking-based feature selection 

  Urkullu, A.; Pérez, A.; Calvo, B. (2020-11-05)

  The stability of feature subset selection algorithms has become crucial in real-world problems due to the need for consistent experimental results across different replicates. Specifically, in this paper, we analyze the ...

• Some contributions to the theory of singularities and their characteristic classes 

  Pallarés Torres, I. (2021-06-02)

  In this Ph.D. thesis, we give some contributions to the theory of singularities, as well as to the theory of characteristic classes of singular spaces. The first part of this thesis is devoted to the theory of singularities ...

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