Results 211 to 220 of about 31,109 (263)
A Ceramic Rare Defect Amplification Method Based on TC-CycleGAN. [PDF]
Zeng Z, Dang C, Ma Z, Li J, Li Z.
europepmc +1 more source
Abstract The land has been a source of capital accumulation since colonization through extractive activities like mining and industrial agriculture. Indigenous peoples have profoundly different relationships with the land, which are more relational than extractive. However, their knowledge has been subjugated by and systematically excluded from Western
Diane‐Laure Arjaliès +1 more
wiley +1 more source
ELDGG: an end-to-end LiDAR-dynamic-guided GAN for hyperspectral image hierarchical reconstruction and classification. [PDF]
Zhang X +7 more
europepmc +1 more source
It’s All About Me (Or Is It Us?): The Narrative Antecedents of the Locus of Celebrity
Abstract For two decades, research on individual and organizational celebrity has flourished. However, the literature remains limited in several ways. First, despite recent gains regarding the antecedents of celebrity, current theory does not fully explain why celebrity resides at a specific locus (i.e., at the individual‐ and/or organizational level).
Laura D’Oria +3 more
wiley +1 more source
Real-world face super-resolution based on generative adversarial and face alignment networks. [PDF]
Fathy H, Faheem MT, Elbasiony R.
europepmc +1 more source
Abstract Recruitment research has traditionally focused on how positive signals about organizations influence job seekers' perceptions and attraction to them, despite the fact that job seekers often encounter a mix of positive and negative information about prospective employers.
Keyan Lai, Kristina Potočnik
wiley +1 more source
Progressive Upsampling Generative Adversarial Network with Collaborative Attention for Single-Image Super-Resolution. [PDF]
Lu H, Zhang J, Jing M, Wang Z, Wang W.
europepmc +1 more source
Validation of machine learning based scenario generators
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley +1 more source
A painting art rendering system by deep learning framework and machine translation. [PDF]
Wang S, Shahir S, Ismail MU.
europepmc +1 more source
Effective faking of verbal deception detection with target‐aligned adversarial attacks
Abstract Background Deception detection through analysing language is a promising avenue using both human judgements and automated machine learning judgements. For both forms of credibility assessment, automated adversarial attacks that rewrite deceptive statements to appear truthful pose a serious threat.
Bennett Kleinberg +2 more
wiley +1 more source

