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Gemini (Modello Linguistico di Google)

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Gemini AI

  1. Disentanglement dello Spettro Raman del Gesso tramite beta-VAE

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  2. Decomposizione Semantica e Disentanglement nella Visione Artificiale tramite beta-VAE autoencoder

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  3. Decomposizione Semantica e Disentanglement nella Visione Artificiale tramite beta-VAE autoencoder

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаMineral Processing and GrindingZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  4. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  5. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Structure of the Topology of Gene Expressions

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  6. Disentanglement Semantico tramite beta-VAE nella Diagnostica Molecolare

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаGene expression and cancer classificationZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  7. Disentanglement Semantico tramite beta-VAE nella Diagnostica Molecolare

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаGene expression and cancer classificationZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  8. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  9. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  10. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  11. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  12. Kaniadakis-driven beta-VAE Latent Spaces: Unveiling a "Relativistic" Topology for Breast Cancer Diagnosis

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаStatistical Mechanics and EntropyZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  13. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  14. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  15. Relativistic kappa-Deformed Graph Autoencoders for Topological Confinement in Scale-Free Networks

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаAdvanced Graph Neural NetworksZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  16. Beyond the Luminescence Trap: A Relativistic kappa-Dense Autoencoder for the Objective Taxonomy of Native Raman Spectra

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  17. Beyond the Luminescence Trap: A Relativistic kappa-Dense Autoencoder for the Objective Taxonomy of Native Raman Spectra

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  18. Architectural Invariance in Spectral Autoencoders: The Robustness of 1D Convolutional Kernels Against kappa-Deformed Loss Regimes in Native Raman Taxonomy

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  19. Architectural Invariance in Spectral Autoencoders: The Robustness of 1D Convolutional Kernels Against kappa-Deformed Loss Regimes in Native Raman Taxonomy

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаSpectroscopy Techniques in Biomedical and Chemical ResearchZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  20. Analisi Computazionale dell'Atto III dell'Otello di Shakespeare mediante Autoencoder Conv-1D e Modelli di Risposta Entropica in una "Spettroscopia Retorica Digitale" - Computational Analysis of Act III of Shakespeare's Othello Using Conv-1D Autoencoders and Entropic Response Models within a "Digital Rhetorical Spectroscopy"

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  21. Analisi Computazionale dell'Atto III dell'Otello di Shakespeare mediante Autoencoder Conv-1D e Modelli di Risposta Entropica in una "Spettroscopia Retorica Digitale" - Computational Analysis of Act III of Shakespeare's Othello Using Conv-1D Autoencoders and Entropic Response Models within a "Digital Rhetorical Spectroscopy"

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаCold Fusion and Nuclear ReactionsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  22. Le 'tele grezze' di Gemini AI

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    БошқаZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  23. Omaggio di Gemini alle 'tele grezze' di Mastroianni

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    БошқаZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  24. Omaggio di Gemini alle 'tele grezze' di Mastroianni

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    БошқаZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  25. Le 'tele grezze' di Gemini AI

    Gemini (Modello Linguistico di Google), Amelia Carolina Sparavigna

    БошқаZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI