Results 211 to 220 of about 5,574 (249)

Expert Asymmetry: Evidence From Securities Litigation

Journal of Empirical Legal Studies, EarlyView.
ABSTRACT Modern litigation often involves two separate, extra‐legal features: (1) contingency fee arrangements with the plaintiff‐side attorney, and (2) a “battle of the experts” where the outcome of the case rests on conflicting expert witness testimony.
Adam Callister, Andrew Granato, Belisa Pang   +2 more
wiley   +1 more source

An MEM-DMD-Enabled Ghost Imaging System Enhanced by a Hybrid CNN-GAN for High-Resolution Imaging Under Scattering Media. [PDF]

Micromachines (Basel)
Akhter Z, Iqbal R, Janusas G, Urbaite S, Palevicius A.   +4 more
europepmc   +1 more source

Leveraging modified ex situ tomography data for segmentation of in situ synchrotron X‐ray computed tomography

Journal of Microscopy, EarlyView.
Abstract In situ synchrotron X‐ray computed tomography enables dynamic material studies. However, automated segmentation remains challenging due to complex imaging artefacts – like ring and cupping effects – and limited training data. We present a methodology for deep learning‐based segmentation by transforming high‐quality ex situ laboratory data to ...
Tristan Manchester, Adam Anders, Julio Spadotto, Hannah Eccleston, William Beavan, Hugues Arcis, Brian J. Connolly   +6 more
wiley   +1 more source

An Integrated and Robust Vision System for Internal and External Thread Defect Detection with Adversarial Defense. [PDF]

Sensors (Basel)
Fu L, Li L, Zhang G, Jiang Z.
europepmc   +1 more source

Reporting Guidelines for Meta‐Analysis in Economics—Updated for AI

Journal of Economic Surveys, EarlyView.
ABSTRACT Meta‐analysis is how science takes stock of its vast research output. The advent of increasingly capable artificial intelligence (AI) promises an unprecedented ability to identify and synthesize relevant research and its findings. In this document, the meta‐analysis of economics research network (MAER‐Net) updates existing Reporting Guidelines
Nikolai Cook, František Bartoš, Pedro R. D. Bom, Sebastian Gechert, Klára Kantová, Jerome Geyer‐Klingeberg, Tomáš Havránek, Zuzana Irsova, Martina Luskova, Matěj Opatrný, Franz Prante, Heiko J. Rachinger, T. D. Stanley   +12 more
wiley   +1 more source

From local textures to global attention: a hybrid feature fusion network for skin lesion classification. [PDF]

Sci Rep
Alkhrijah Y, Shah SNH, Usman SM, Khalid S, Shah SA, Alshuhri SS, Shin J.   +6 more
europepmc   +1 more source

Benchmarking Adversarial Patch Against Aerial Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
DNNs are vulnerable to adversarial examples, which poses great security concerns for security-critical systems. In this paper, a novel adaptive-patch-based physical attack (AP-PA) framework is proposed, which aims to generate adversarial patches that are adaptive in both physical dynamics and varying scales, and by which the particular targets can be ...
Jiawei Lian, Shaohui Mei, Shizhou Zhang   +2 more
exaly   +3 more sources

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Cross-Shaped Adversarial Patch Attack

IEEE Transactions on Circuits and Systems for Video Technology
Yu Ran, Weijia Wang, Mingjie Li
exaly   +2 more sources

A data independent approach to generate adversarial patches

Machine Vision and Applications, 2021
Deep neural networks are vulnerable to adversarial examples, i.e., carefully perturbed inputs designed to mislead the network at inference time. Recently, adversarial patch, with perturbations confined to a small and localized patch, emerged for its easy accessibility in real-world attack.
Xingyu Zhou 0002, Zhisong Pan 0003, Yexin Duan, Jin Zhang 0024, Shuaihui Wang   +4 more
openaire   +1 more source