Results 161 to 170 of about 6,370 (239)

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Adversarial attack of sequence-free enhancer prediction identifies chromatin architecture. [PDF]

Bioinformatics
Gafur J, Lang OW, Lai WKM.
europepmc   +1 more source

Consumer Behavior Analysis in Digital Marketing Using AI and Big Data Analytics: A Narrative Review and Methodological Taxonomy

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
AI and Big Data in Consumer Behavior Analysis. ABSTRACT The rapid expansion of digital consumer data has challenged traditional approaches to understanding behavior in digital marketing. Existing reviews often focus on individual methods and give limited guidance on how analytical techniques compare or how they should be selected for specific marketing
Leonidas Theodorakopoulos, Alexandra Theodoropoulou   +1 more
wiley   +1 more source

Hard label adversarial attack with high query efficiency against NLP models. [PDF]

Sci Rep
Qiu S, Liu Q, Zhou S, Gou M, Zeng Y, Zhang Z, Wu Z.   +6 more
europepmc   +1 more source

From Past Outbreaks to Future Threats: Detecting Medical Conspiracy Theories With LLMs and Limited Labels

Expert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Online dissemination of conspiracy theories (CTs) during epidemics poses significant risks to public health. This paper addresses the problem of detecting CTs in social media posts with an emphasis on the resource‐constrained scenarios characterized by the scarcity of labelled datasets and expert annotations, and the lack of computational ...
Ipek Baris Schlicht, Damir Korenčić, Berta Chulvi, Lucie Flek, Paolo Rosso   +4 more
wiley   +1 more source

Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods. [PDF]

Sci Rep
Lee SB.
europepmc   +1 more source

Ideology on Trial: How CEO Political Leanings Shape Firms' Propensity to Litigate Over Patents

R&D Management, Volume 56, Issue 4, Page 620-640, September 2026.
ABSTRACT This study investigates how CEOs' political ideology affects corporate decisions to sue for patent infringement. Integrating upper‐echelons and behavioral‐agency perspectives, we theorize that conservative‐leaning CEOs—marked by heightened threat sensitivity and low tolerance for ambiguity—frame infringement as a looming loss and therefore ...
Ali Radfard, Luca Pistilli
wiley   +1 more source

Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security. [PDF]

Sci Rep
Sharaf SA, Nooh S.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects. [PDF]

J Imaging
Zhao L, Lv X, Zhu L, Luo B, Cao H, Cui J, Li H, Peng J.   +7 more
europepmc   +1 more source