Artificial intelligence and liquidation: Reality, destiny and fantasy
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley +1 more source
SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training. [PDF]
Huang W +5 more
europepmc +1 more source
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li +29 more
wiley +1 more source
Chinese medical named entity recognition integrating adversarial training and feature enhancement. [PDF]
Zhang X +6 more
europepmc +1 more source
Adversarial training with misaligned label correction for carotid segmentation from simultaneous non-contrast angiography and intraplaque hemorrhage MRI. [PDF]
Zhang W, Lin M, Chan KL, Chen H, Chiu B.
europepmc +1 more source
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
Despite remarkable achievements in deep learning across various domains, its inherent vulnerability to adversarial examples still remains a critical concern for practical deployment. Adversarial training has emerged as one of the most effective defensive
Wang, Z. Jane +3 more
core
Sharing unwritten rules of negotiation: An effort to help leaders thrive
Abstract Negotiation is a skill essential for leader success yet not often trained in the academic pathway. Ideal negotiation is between at least two parties with overlapping goals where mutual benefit is achieved in a solidified agreement. For long‐term success in partnership, integrity, shared value, mutual respect, and clarity should be demonstrated
Julie Byerley +2 more
wiley +1 more source
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization. [PDF]
Han T +10 more
europepmc +1 more source
Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review
Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad +5 more
wiley +1 more source
A multi-layered defense against adversarial attacks in brain tumor classification using ensemble adversarial training and feature squeezing. [PDF]
Yinusa A, Faezipour M.
europepmc +1 more source

