Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
Integer linear programming for contrasting state interventions in Boolean networks. [PDF]
Bampos C, Megalooikonomou V.
europepmc +1 more source
A tutorial for understanding SEM using R: Where do all the numbers come from?
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley +1 more source
Value chain optimization in large scale gas network considering elevation and transmission direction. [PDF]
Ning X, Qiu J, Yu D.
europepmc +1 more source
Latent Poisson count models for action count data from technology‐enhanced assessments
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley +1 more source
Evaluating Synthetic Cyber Deception Strategies Under Uncertainty via Game Theory Approach: Linking Information Leakage and Game Outcomes in Cyber Deception. [PDF]
Shahin M, Maghanaki M, Chen FF.
europepmc +1 more source
Splatshop: Efficiently Editing Large Gaussian Splat Models
Abstract We present Splatshop, a highly optimized toolbox for interactive editing (selection, deletion, painting, transformation, …) of 3D Gaussian Splatting models. Utilizing a comprehensive collection of heuristic approaches, we carefully balance between exact and fast rendering to enable precise editing without sacrificing real‐time performance. Our
Markus Schütz +5 more
wiley +1 more source
A Positive Semidefinite Safe Approximation of Multivariate Distributionally Robust Constraints Determined by Simple Functions. [PDF]
Dienstbier J, Liers F, Rolfes J.
europepmc +1 more source
Style Brush: Guided Style Transfer for 3D Objects
We introduce Style Brush, a guided 3D style‐transfer method for textured meshes that provides precise creative control. It supports the use of multiple style images, smooth transitions and intuitive guidance, producing visually appealing textures that follow user intent as we demonstrate in our user study and results. Abstract We introduce Style Brush,
Áron Samuel Kovács +2 more
wiley +1 more source
Mixed-integer, multi-objective layerwise optimization of variable-stiffness composites with gaps and overlaps. [PDF]
Zamani D +2 more
europepmc +1 more source

