Results 211 to 220 of about 3,424,284 (379)
Advancing Antecedents of Brand Personality: A Meta‐Analytical Review and Moderator Analysis
ABSTRACT Product differentiation is essential to attract consumers. Besides functional brand characteristics, symbolic traits like brand personality are a value‐adding differentiation tool for marketers. While extant research has examined the relationships between brand personality and its antecedents, an extended and contemporary review is lacking ...
Wenxin Wang+2 more
wiley +1 more source
Semantics of a sequential language for exact real-number computation
J. Raymundo Marcial‐Romero+1 more
openalex +1 more source
ABSTRACT Conducting online, controlled laboratory, and more realistic laboratory experiments, this study investigates how the connotative congruency between instrumental timbre and visual design affects consumer evaluation and choice behavior.
Tsutomu Sunaga+3 more
wiley +1 more source
Natural semantics on the computer
Disponible dans les fichiers attachés à ce ...
Clement, Dominique+4 more
openaire +1 more source
Abstract Dissolved organic matter (DOM) contains thousands of molecules and is key for biogeochemical cycles in aquatic and terrestrial ecosystems by interacting with microbes. Over the last decade, the study of DOM has been advanced and accelerated with the developments of instrumental and statistical approaches.
Fanfan Meng+3 more
wiley +1 more source
A Computational Semantics for Communicating Rational Agents Based on Mental Models
K. Hindriks, M. Birna, Van Riemsdijk
semanticscholar +1 more source
Abstract Background Unsupervised domain adaptation (UDA) seeks to mitigate the performance degradation of deep neural networks when applied to new, unlabeled domains by leveraging knowledge from source domains. In medical image segmentation, prevailing UDA techniques often utilize adversarial learning to address domain shifts for cross‐modality ...
Xiaoxue Qian+4 more
wiley +1 more source
A Computational Framework to Study Hierarchical Processing in Visual Narratives. [PDF]
Upadhyayula A, Cohn N.
europepmc +1 more source
Abstract Background Semi‐supervised segmentation leverages sparse annotation information to learn rich representations from combined labeled and label‐less data for segmentation tasks. The Match‐based framework, by using the consistency constraint of segmentation results from different models/augmented label‐less inputs, is found effective in semi ...
Guoping Xu+5 more
wiley +1 more source