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Emiliano Díaz

Biographic Data

ID8003272
NAMEEmiliano Díaz
GIVEN NAMESEmiliano
FAMILY NAMEDíaz
SIGNATUREDIAZ E
AFFILIATIONSUniversitat de València
ORCID0000-0001-8410-6635
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The critical limits of phenomenology

    Open Access•Emiliano Díaz•ARTICLE•European Journal of Philosophy•2024

    Although Husserlian phenomenology appears to require that practitioners bracket all metaphysical questions and claims, this requirement runs against the evidence of experience in which objects themselves are presented as constituents of experience. Moreover, to completely bracket metaphysical considerations would suggest that phenomenology is compatible with metaphysical views it should in principle deny. Nonetheless, permitting metaphysical clai…

  • Physics-aware nonparametric regression models for Earth data analysis

    Open Access•Jordi Cortés-Andrés, Gustau Camps‐vall et al.•ARTICLE•Environmental Research Letters•2022

    Process understanding and modeling is at the core of scientific reasoning. Principled parametric and mechanistic modeling dominated science and engineering until the recent emergence of machine learning (ML). Despite great success in many areas, ML algorithms in the Earth and climate sciences, and more broadly in physical sciences, are not explicitly designed to be physically-consistent and may, therefore, violate the most basic laws of physics. …

  • Peripheral Experience and Epistemic Neutrality

    Open Access•Emiliano Díaz•ARTICLE•Husserl Studies•2021

No prominent works on this page.

  • Peripheral Experience and Epistemic Neutrality

    Open Access•Emiliano Díaz•ARTICLE•Husserl Studies•2021

  • Physics-aware nonparametric regression models for Earth data analysis

    Open Access•Jordi Cortés-Andrés, Gustau Camps‐vall et al.•ARTICLE•Environmental Research Letters•2022

    Process understanding and modeling is at the core of scientific reasoning. Principled parametric and mechanistic modeling dominated science and engineering until the recent emergence of machine learning (ML). Despite great success in many areas, ML algorithms in the Earth and climate sciences, and more broadly in physical sciences, are not explicitly designed to be physically-consistent and may, therefore, violate the most basic laws of physics. …

  • The critical limits of phenomenology

    Open Access•Emiliano Díaz•ARTICLE•European Journal of Philosophy•2024

    Although Husserlian phenomenology appears to require that practitioners bracket all metaphysical questions and claims, this requirement runs against the evidence of experience in which objects themselves are presented as constituents of experience. Moreover, to completely bracket metaphysical considerations would suggest that phenomenology is compatible with metaphysical views it should in principle deny. Nonetheless, permitting metaphysical clai…

Epistemology (2 works) · Philosophy (2 works) · Aesthetics (1 work) · Artificial Intelligence (1 work) · Categorization, perception, and language (1 work) · Climate change (1 work) · Climate model (1 work) · Color perception and design (1 work) · Computer Science (1 work) · Conditional independence (1 work)

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