:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Marandi, Ramtin Zargari, Frahm, Anne Svane, Lundgren, Jens, Murray, Daniel Dawson, Milojevic, Maja
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2501.04547
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research
por: Marandi, Ramtin Zargari, et al.
Publicado: (2025)

The impact of multi-agent debate protocols on debate quality: a controlled case study
por: Marandi, Ramtin Zargari
Publicado: (2026)

A Unified Machine Learning Model for Relapse Prediction in Clinical Stage I Testicular Cancer
por: Thomas Wagner, et al.
Publicado: (2026)

Investigation of cardinality classification for bacterial colony counting using explainable artificial intelligence
por: Zheng, Minghua, et al.
Publicado: (2026)

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification
por: Ruoxi Qi, et al.
Publicado: (2024)

Effects of explainable artificial intelligence in neurology decision support
por: Grace Y. Gombolay, et al.
Publicado: (2024)

Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence
por: Candia-Rivera, Diego
Publicado: (2026)

InterKulturell 1 (2025) By CynthiaChalupa, AngelikaBecker, PeterChace, and DebraMol, Freeport: Wayside Publishing, 2025. 401 pp. $31.25 (one year access to the digital textbook); $37.50 (printed textbook), $87.50 (one year access to the full digital package); $162.50 (hardcover). ISBN: 978‐1‐641595‐12‐4.
por: Kristian Svane
Publicado: (2026)

Adversarial attacks and defenses in explainable artificial intelligence: A survey
por: Baniecki, Hubert, et al.
Publicado: (2023)

Basic principles of artificial intelligence in dermatology explained using melanoma
por: Tim Hartmann, et al.
Publicado: (2024)

survex: an R package for explaining machine learning survival models
por: Spytek, Mikołaj, et al.
Publicado: (2023)

Detecting and explaining postpartum depression in real-time with generative artificial intelligence
por: García-Méndez, Silvia, et al.
Publicado: (2025)

Identification of biological markers in cancer disease using explainable artificial intelligence
por: Muhammad Shahzad, et al.
Publicado: (2024)

Model-agnostic explainable artificial intelligence for object detection in image data
por: Moradi, Milad, et al.
Publicado: (2023)

Medical education in the age of artificial intelligence
por: Minyang Chow, et al.
Publicado: (2025)

Radionuclide classification based on gamma spectroscopy and artificial intelligence
por: M. M. A Silva
Publicado: (2021)

retinalysis-vascx: An explainable software toolbox for the extraction of retinal vascular biomarkers
por: Quiros, Jose D. Vargas, et al.
Publicado: (2026)

Deep learning of committor and explainable artificial intelligence analysis for identifying reaction coordinates
por: Mori, Toshifumi, et al.
Publicado: (2026)

Explainable artificial intelligence (XAI): from inherent explainability to large language models
por: Mumuni, Fuseini, et al.
Publicado: (2025)

Stage-specific cancer survival prediction enriched by explainable machine learning
por: Poorhasani, Parisa, et al.
Publicado: (2026)

Normal and Poisson approximation for Gibbs point processes with pair potentials
por: Hirsch, Christian, et al.
Publicado: (2026)

Normal approximation for Gibbs processes via disagreement couplings
por: Hirsch, Christian, et al.
Publicado: (2023)

Eclipsing binary classification with machine learning techniques
por: Keskin, Bedri, et al.
Publicado: (2026)

Foreword to the special issue on machine learning/artificial intelligence
por: Gernot Frenking
Publicado: (2024)

Man and machine: artificial intelligence and judicial decision making
por: Dyevre, Arthur, et al.
Publicado: (2026)

Demographic parity in regression and classification within the unawareness framework
por: Divol, Vincent, et al.
Publicado: (2024)

Comparison of artificial intelligence and multivariate regression in modeling the flexural behavior of UHPFRC
por: Joaquín Abellán-García
Publicado: (2020)

How to leverage artificial intelligence for efficiency and leadership
por: Anne Schmitz
Publicado: (2026)

Typological classification of bamboo: from the advent of microscopy to artificial intelligence
por: Fernando Rusch
Publicado: (2025)

Chemical classification program synthesis using generative artificial intelligence
por: Mungall, Christopher J., et al.
Publicado: (2025)

DETERMINISTIČKI I HEURISTIČKI MODEL ZA PROGNOZU POTRAŽNJE REZERVNIH DELOVA
por: Milojević S. Ivan
Publicado: (2012)

STOHASTIČKI MODEL PROGNOZE POTRAŽNJE REZERVNIH DELOVA
por: Ivan Milojević S.
Publicado: (2012)

Propuestas metodológicas para el estudio de la interactividad en revistas de comunicación
por: Ana Milojevic
Publicado: (2013)

Different Traditions in the Study of Disciplinarity in Science--Science and Technology Studies, Library and Information Science and Scientometrics
por: Milojevic, Staša
Publicado: (2013)

Big Science, Nano Science?: Mapping the Evolution and Socio-Cognitive Structure of Nanoscience/Nanotechnology Using Mixed Methods
por: Milojevic, Stasa
Publicado: (2009)

Modeling per‐ and polyfluoroalkyl substances fate in agricultural soils: Clay and air‐water interface adsorption
por: Camilla Jakobsen, et al.
Publicado: (2026)

Fischereiökonomische Forschung in Deutschland – Ergebnisse zur deutschen Fischereiflotte aus einem EU-Verbundprojekt
por: Bender, Svane, et al.
Publicado: (2005)

The asymptotic distribution of the scaled remainder for pseudo golden ratio expansions of a continuous random variable
por: Herbst, Ira W., et al.
Publicado: (2024)

Causality and causal inference for engineers: Beyond correlation, regression, prediction and artificial intelligence
por: M. Z. Naser
Publicado: (2024)

Quantifying artificial intelligence through algorithmic generalization
por: Ito, Takuya, et al.
Publicado: (2024)