Results 181 to 190 of about 168,761 (284)

RoentMod: a synthetic chest X-ray modification model to identify and correct image interpretation model shortcuts. [PDF]

NPJ Digit Med
Cooke LH, Jung M, Brendel JM, Kerkovits NM, Foldyna B, Lu MT, Raghu VK.   +6 more
europepmc   +1 more source

Is Reading an Upstream Predictor of Science and Mathematics Achievements in PISA? A Bayesian Network Analysis for Policy Educational Interventions on Socio‐Economic Dispersion and Gender Gaps

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This study investigates the structural relationships among reading, science and mathematics performance, socio‐economic dispersion (SES_Variance) and gender gaps using cross‐country PISA 2022 data. The primary objective is to assess whether reading functions as an upstream determinant of academic achievement and to evaluate the causal roles of
Simona‐Vasilica Oprea, Adela Bâra
wiley   +1 more source

Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab

Symbolic Interaction, EarlyView.
How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz, Leslie DeChurch, Noshir Contractor   +2 more
wiley   +1 more source

LLM-based feature selection and counterfactual explanations applied to functional connectivity analysis in schizophrenia. [PDF]

Front Neurosci
Yuan X, Chen T, He Y, Gu L, Sun Y, Wei S.   +5 more
europepmc   +1 more source

From prediction to intervention: Paradigm shifts in causal AI for precision medicine and large‐scale cohorts

VIEW, EarlyView.
Large‐scale cohorts and multimodal biomedical data have enabled powerful predictive models for clinical risk stratification, but prediction alone cannot guide effective interventions. This review introduces causal artificial intelligence as a design‐first framework that integrates target trial emulation, causal discovery, and robust effect estimation ...
Linlin Cao, Yudian Xu, Yifan Chen, Honghao Huang, Wei Xu, Jun Pu   +5 more
wiley   +1 more source

Counterfactual Explanation-Based Cryptocurrency Price Prediction. [PDF]

Entropy (Basel)
Luo X, Yin W.
europepmc   +1 more source

Tannhäuser’s dilemma: a counterfactual analysis [PDF]

, 2008
Harmgart, H., Huck, S., Muller, W.
core  

Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang, Hongxu Chen, Xiangyu Zhao, Sixiao Zhang, Xiangguo Sun, Qian Li, Hongzhi Yin, Guandong Xu   +7 more
wiley   +1 more source

The green spark of partial reform: Evidence from China's electricity market experiment. [PDF]

PNAS Nexus
Hao X, Sun A, Song F, Zheng H, Zhang L.
europepmc   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source