Results 51 to 60 of about 22,610 (167)
Asia-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
Business 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
Marine Mammal Science, Volume 42, Issue 3, July 2026.ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese +3 more
wiley +1 more source
Intelligent Systems in Accounting, Finance and Management, Volume 33, Issue 2, June 2026.ABSTRACT Tax authorities face growing volumes of filings and payments and must manage procedural non‐compliance (e.g., late filing, late payment and the accumulation of tax arrears) with limited administrative capacity. Many existing machine learning (ML) and artificial intelligence (AI) applications in tax administration rely on binary outcomes, which
Lenka Papíková, Mário Papík
wiley +1 more source
Subgroup Identification via Multiple Change Point Detection: Methods and Applications
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li +3 more
wiley +1 more source
Racialized Labor Intermediation: Managing the “Threat” of Kurdish Workers on Turkish Farms
American Anthropologist, Volume 128, Issue 2, Page 381-392, June 2026.ABSTRACT Farm labor intermediaries in Turkey have been at the heart of maintaining a precarious and low‐wage migrant labor force for capitalist agriculture since the 19th century. This labor force has been predominantly comprised of Kurds, a people racialized as “savage,” “racially impure,” and “traitors of the Turkish nation” since the beginning of ...
Deniz Duruiz
wiley +1 more source
Fairness at Risk: Where Bias Emerges in Machine Learning
Expert Systems, Volume 43, Issue 6, June 2026.ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque +2 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.Abstract Purpose Automated classification of retinal diseases from optical coherence tomography (OCT) images plays a significant role in supporting early diagnosis and clinical decision‐making. In this study, a deep learning (DL) framework is developed by integrating a neutrosophic similarity score (NSS) with the EfficientNetB3 to improve image ...
Devi M, G. Hannah Grace
wiley +1 more source
CSGM: A R Package to Conduct a Robust Cross‐Sectional Geometric Morphometric Analysis
American Journal of Biological Anthropology, Volume 190, Issue 1, May 2026.ABSTRACT Objective Evaluating the relationships between the shape and biomechanical function of bone cross‐sections can contribute novel insights towards human functional and evolutionary morphology. However, this research involves unique analytical and statistical challenges when comparing complex and multidimensional shape data to multivariate ...
Brian A. Keeling +5 more
wiley +1 more source
Livelihood, Language or Self‐Identification? The Shifting Base of Sámi Representation in Finland
Scandinavian Political Studies, Volume 49, Issue 2, May 2026.ABSTRACT Against the backdrop of (i) the Finnish Eduskunta's enactment in June 2025 of a contentious change in the voting rules for elections to the Sámi Parliament and (ii) the publication in December 2025 of the final report of the Truth and Reconciliation Commission examining the historic discrimination practised against the Sámi population, this ...
David Arter
wiley +1 more source