Decisions Under Radical Uncertainty: The Role of Volitional Liminality in Radical Innovation
ABSTRACT Academic Summary Radical innovation management can be understood as an organizational practice that enacts distant futures, which are open‐ended and unknowable. Such radical innovation endeavors are thus characterized by radical uncertainty, where possible futures are not only quantitatively but qualitatively different from the present, and ...
José Antonio Rosa +2 more
wiley +1 more source
Secure aggregation for heterogeneous enterprise data based on federated meta-learning. [PDF]
Yang C, Ma Y.
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Abstract This replication study examines feedback timing in vocational language learners and verifies the hypothesis that the advantage of immediate over delayed feedback found in the original study (Li, Zhu, & Ellis, 2016) is due to practice opportunities in immediate feedback.
Shaofeng Li, Jie Li, Jiancheng Qian
wiley +1 more source
Epistemic limits of local interpretability in self-modulating cognitive architectures. [PDF]
Mahrouk A.
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Abstract Purpose In some contexts, US‐based White jurors appear to exhibit a heightened focus on legally relevant information when the defendant is Black as compared to White. The current study tested this ‘watchdog’ effect in the Canadian context by examining mock jurors' decisions using a trial involving a recanted confession with an Indigenous or a ...
Logan Ewanation, Evelyn M. Maeder
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Don't Stop Me Now, `Cause I'm Having a Good Time Screening: Evaluation of Stopping Methods for Safe Use of Priority Screening in Systematic Reviews. [PDF]
Repke T +7 more
europepmc +1 more source
Meta-learning provides a robust framework to discern taxonomic carnivore agency from the analysis of tooth marks on bone: reassessing the role of felids as predators of <i>Homo habilis</i>. [PDF]
Domínguez-Rodrigo M +4 more
europepmc +1 more source
Early autism detection: a review of emerging technologies, biomarkers, and explainable AI approaches. [PDF]
Agrawal R, Agrawal R.
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Mean shift based prototypical network for steel surface anomaly recognition. [PDF]
Tastimur C.
europepmc +1 more source
Generalized multi task learning framework for glucose forecasting and hypoglycemia detection using simulation to reality. [PDF]
Hwang M +4 more
europepmc +1 more source

