Results 241 to 250 of about 160,235 (299)

Editorial: Machine learning and applied neuroscience, volume II. [PDF]

Front Neurorobot
Dos Santos WP, Conti V, Gambino O, Naik GR.   +3 more
europepmc   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

Bearing Anomaly Detection Method Based on Multimodal Fusion and Self-Adversarial Learning. [PDF]

Sensors (Basel)
Liu H, Qin Y, Tu D.
europepmc   +1 more source

From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang, Haiyan Wang, Hao Tan, Liyi Zeng, Jingnan Li, Zhaoquan Gu   +5 more
wiley   +1 more source

Neural Network Repair With Shapley‐Guided Search

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The deployment of deep neural networks (DNNs) in safety‐critical domains is critically hampered by their vulnerability to defects, which can arise from malicious attacks or low‐quality data. Therefore, precisely locating the network components responsible for these defects, and subsequently repairing them without compromising overall model ...
Xiaofu Du, Zixiong Zhang, Xuesong Wang, Linqiang Liu, Junyan Qian   +4 more
wiley   +1 more source

Synthetic data-augmented machine learning for 30-day readmission prediction in patients with chronic conditions: a retrospective real-world study. [PDF]

BMJ Open
Brothers T, Adhikari K, Ramazani M, Imtiaz A, Al-Mamun M.   +4 more
europepmc   +1 more source

Machine Learning in Adversarial Settings: Attacks and Defenses

, 2019
Hossein Hosseini
openalex   +1 more source

Keeping up with the regions: a hybrid machine learning framework for estimating regional input-output tables. [PDF]

Sci Rep
De Pretis F, Tortoli D, Caria S.
europepmc   +1 more source

Adversarial Machine Learning in Cybersecurity: Attacks and Defenses

Ke Hu, Jian Xu, Yong Wang, Heyao Chen, Zepeng Shen   +4 more
openalex   +2 more sources

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency‐Based Approach Can Do Better

British Journal of Management, EarlyView.
Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
wiley   +1 more source