|
|
|
|
|
Alexander Robitzsch
Missing item responses are frequently found in educational large-scale assessment studies. In this article, the Mislevy-Wu item response model is applied for handling nonignorable missing item responses. This model allows that the missingness of an item ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias and Antonio G. Ravelo-García
This study presents a novel approach for kernel selection based on Kullback?Leibler divergence in variational autoencoders using features generated by the convolutional encoder. The proposed methodology focuses on identifying the most relevant subset of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zitong Yan, Hongmei Liu, Laifa Tao, Jian Ma and Yujie Cheng
To address the limited data problem in real-world fault diagnosis, previous studies have primarily focused on semi-supervised learning and transfer learning methods. However, these approaches often struggle to obtain the necessary data, failing to fully ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rafael Abrantes Penchel, Ivan Aldaya, Lucas Marim, Mirian Paula dos Santos, Lucio Cardozo-Filho, Veeriah Jegatheesan and José Augusto de Oliveira
Cleaner production has emerged as a comprehensive paradigm, aiming to reduce, or even avoid, the environmental impact in the production stage, in a broad variety of fields. However, the great number of interacting factors makes the assessment of efficien...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexander Robitzsch
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of int...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wilfried Wöber, Lars Mehnen, Manuel Curto, Papius Dias Tibihika, Genanaw Tesfaye and Harald Meimberg
The biological investigation of a population?s shape diversity using digital images is typically reliant on geometrical morphometrics, which is an approach based on user-defined landmarks. In contrast to this traditional approach, the progress in deep le...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sami Diaf and Ulrich Fritsche
This paper proposes a new methodology to study sequential corpora by implementing a two-stage algorithm that learns time-based topics with respect to a scale of document positions and introduces the concept of Topic Scaling, which ranks learned topics wi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Muhammad Ashraf Javid, Nazam Ali, Muhammad Abdullah, Tiziana Campisi, Syed Arif Hussain Shah and Suniti Suparp
Speeding is one of the risky behaviors which results in accident involvement causing fatalities and severe injuries. This paper aimed to identify the significant socio-economic characteristics of drivers concerning their speeding behavior and crash invol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Simone Blanc, Valentina Maria Merlino, Alice Versino, Giulia Mastromonaco, Antonina Sparacino, Stefano Massaglia and Danielle Borra
Background: This research investigates the web-based communication and promotion strategies applied by a sample of selected chocolatiers in Piedmont, a region in the northwest of Italy known for its ancient chocolate-making tradition. Methods: the AGIL s...
ver más
|
|
|
|
|
|
|
|
|
|
|
FengLei Yang, Fei Liu and ShanShan Liu
Collaborative filtering (CF) is a widely used method in recommendation systems. Linear models are still the mainstream of collaborative filtering research methods, but non-linear probabilistic models are beyond the limit of linear model capacity. For exa...
ver más
|
|
|
|
|
|