Results 141 to 150 of about 217,331 (267)

An adversarial training framework for mitigating algorithmic biases in clinical machine learning. [PDF]

NPJ Digit Med, 2023
Yang J, Soltan AAS, Eyre DW, Yang Y, Clifton DA.   +4 more
europepmc   +1 more source

Family Dispute Resolution in Australia: The Under‐Servicing of Indigenous, Migrant and Refugee Families Experiencing Family Violence

Australian Journal of Social Issues, EarlyView.
ABSTRACT Improving access to legal services for Indigenous, migrant and refugee women is critical to addressing family violence. In this context, Family Dispute Resolution (FDR) has long been discussed as a solution for separating families. This paper presents key findings of a research evaluation of an Australian Government $8.37 million pilot project
Siobhan McDonnell, Alyson Wright
wiley   +1 more source

Named entity recognition for Chinese based on global pointer and adversarial training. [PDF]

Sci Rep, 2023
Li H, Cheng M, Yang Z, Yang L, Chua Y.
europepmc   +1 more source

Privacy-Aware Early Detection of COVID-19 Through Adversarial Training. [PDF]

IEEE J Biomed Health Inform, 2023
Rohanian O, Kouchaki S, Soltan A, Yang J, Rohanian M, Yang Y, Clifton D.   +6 more
europepmc   +1 more source

Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]

Soc Netw Anal Min, 2023
Huang S, Wu X, Wu X, Wang K.
europepmc   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction. [PDF]

Front Comput Neurosci, 2023
Yang Y, Qin X, Wen H, Li F, Lin X.
europepmc   +1 more source

Prioritizing Feasible and Impactful Actions to Enable Secure AI Development and Use in Biology

Biotechnology and Bioengineering, EarlyView.
ABSTRACT As artificial intelligence continues to enhance biological innovation, the potential for misuse must be addressed to fully unlock the potential societal benefits. While significant work has been done to evaluate general‐purpose AI and specialized biological design tools (BDTs) for biothreat creation risks, actionable steps to mitigate the risk
Josh Dettman, Emily Lathrop, Aurelia Attal‐Juncqua, Matthew Nicotra, Allison Berke   +4 more
wiley   +1 more source

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. [PDF]

Pattern Recognit, 2023
Lanfredi RB, Schroeder JD, Tasdizen T.
europepmc   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source