Results 161 to 170 of about 20,583 (298)

Explicaciones Visuales Post Hoc (XAI): Un enfoque orientado hacia la Leucemia Linfoblástica Aguda [PDF]

open access: yes
En este estudio se evaluaron las características morfológicas de componentes sanguíneos en imágenes mediante métodos de generación de mapas de relevancia, parte de la Inteligencia Artificial Explicativa (XAI).
Jose de Jesus Velazquez Arreola
core  

Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model

open access: yes
169190This paper presents an evaluation framework for xAI methods that is tailored for multivariate time series data. The framework includes three evaluation approaches encompassing a stability analysis, consistency analysis, and truthfulness analysis ...
Tcholtchev, Nikolay Vassilev   +2 more
core   +1 more source

A Novel Full‐Chain Loop Tracking Auditing Framework for Obtaining Audit Evidence With Reasonable Assurance

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT As an attestation engagement, auditing is required to provide reasonable assurance for its conclusions. Traditional auditing has limited capacity to handle unstructured data and is usually based on audit sampling techniques, which can lead to the neglect of important audit evidence during the auditing process and result in a higher audit risk,
Xiaojia Wang, Ziqing Luo, Chaoxu Mu
wiley   +1 more source

Complete elliptic Fourier descriptor normalization and its application in quantitative morphological analysis

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Elliptic Fourier analysis (EFA) is often employed in geometric morphometrics (GM), but the normalization of elliptic Fourier descriptor (EFD) has persistently posed challenges for obtaining unique and comparable results, especially in the application of outline‐based GM methods, which limits the implementation in automated analysis of numerous,
Hui Wu   +6 more
wiley   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

open access: yesAsia-Pacific Journal of Financial Studies, EarlyView.
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley   +1 more source

What if Adam Smith Debated an AI Economist: A Thought Experiment on Markets, Ethics, and the Invisible Hand

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Can AI‐driven capitalism sustain the moral preconditions of market order? We stage a dialogue between Adam Smith and a steel‐manned “EconAI” to test four Moral‐Market‐Fitness criteria: trustworthiness, fairness, non‐domination, and contestability, across 11 dilemmas.
Alexandra‐Codruța Bîzoi   +1 more
wiley   +1 more source

Using multilabel classification neural network to detect intersectional DIF with small sample sizes

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional marginal DIF methods, which often fail to capture the effects of intersecting identities and require ...
Yale Quan, Chun Wang
wiley   +1 more source

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