Results 21 to 30 of about 78,978 (267)
Optimization and Optimizers for Adversarial Robustness
Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algorithms that are commonly used to solve them in practice predominantly rely on projected gradient, and mostly handle perturbations modeled by the $\ell_1$, $\ell_2$ and $\ell_\
Hengyue Liang +5 more
openaire +2 more sources
A Cross-Country Study of Comparative Optimism About Privacy Risks on Social Media
People exhibit comparative optimism about privacy risks, believing that they are personally less vulnerable to privacy threats than their average peers, and yet comparative optimism about privacy threats can lead to reckless online behaviors.
Hichang Cho +3 more
doaj
The Effect of Behavioral Strains of Managers on Optimistic Tone of Financial Reporting [PDF]
Objective: Behavioral strains of managers, including optimism, overconfidence and short-sightedness, can overshadow their behavior and type of decisions in the organization while improving the company's financial performance.
Elnaz Akbarlou +3 more
doaj +1 more source
9 pages, 4 figures. Accompanying paper of arXiv:2111.12130.
Kamil Korzekwa, Matteo Lostaglio
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The implementation of EFL online learning: how do the non-English department students perceive it?
The COVID-19 outbreak influences nearly all facets of life, including education. This study conducted survey investigations to detect non-English students' views on the implementation of EFL online learning.
M. Ali Ghufron
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An Active Inference Model of the Optimism Bias
The optimism bias is a cognitive bias where individuals overestimate the likelihood of good outcomes and underestimate the likelihood of bad outcomes. Associated with improved quality of life, optimism bias is considered to be adaptive and is a promising
Elizabeth L. Fisher +2 more
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Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Optimal growth and Pareto optimality [PDF]
Using the McKenzie-Montrucchio approach to optimal growth problems the authors show that in a stationary intertemporal economy with discrete infinite time span and recursive utilities for each of a finite numbers of agents, every Pareto optimum solution is a solution to a generalized McKenzie problem.
Dana Rose-anne, Le Van Cuong
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This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Developing a model of Corona Anxiety in Students Based on Optimism and Resilience: The Mediating role of the Perceived Social Support [PDF]
Due to the prevalence of coronavirus among people, especially the affected countries, which has caused anxiety, the aim of the present study was to investigate the causal modeling of Corona anxiety in students based on optimism and resilience with the ...
Sanaz eyni, matineh ebadi, naghme torabi
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