177   Artículos

 
en línea
Ilvija Pikturnaite,Judita Jonu?eviciene,Robertas Kavolius     Pág. 69 - 85

 
en línea
Jing Liu, Xuesong Hai and Keqin Li    
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Tomasz Gajewski and Pawel Skiba    
The main goal of this work is to combine the usage of the numerical homogenization technique for determining the effective properties of representative volume elements with artificial neural networks. The effective properties are defined according to the... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiaochun Sun, Chenmou Wu and Shuqun Yang    
With the proliferation of Knowledge Graphs (KGs), knowledge graph completion (KGC) has attracted much attention. Previous KGC methods focus on extracting shallow structural information from KGs or in combination with external knowledge, especially in com... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Igor Masich, Natalya Rezova, Guzel Shkaberina, Sergei Mironov, Mariya Bartosh and Lev Kazakovtsev    
A number of real-world problems of automatic grouping of objects or clustering require a reasonable solution and the possibility of interpreting the result. More specific is the problem of identifying homogeneous subgroups of objects. The number of group... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Senay Ozkaya de Juanas, Fernando Barroso-Barcenilla, Mélani Berrocal-Casero and Pedro Miguel Callapez    
Accessible palaeontological sites conform highly adequate out-of-school environments for meaningful learning experiences regarding formal and non-formal teaching of geosciences. With a perspective of international cooperation, two correlative Cenomanian?... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Dario Guidotti, Laura Pandolfo and Luca Pulina    
Interest in machine learning and neural networks has increased significantly in recent years. However, their applications are limited in safety-critical domains due to the lack of formal guarantees on their reliability and behavior. This paper shows rece... ver más
Revista: Information    Formato: Electrónico

 
en línea
Jaime Ruiz-Serra and Michael S. Harré    
Theory of mind (ToM) is the psychological construct by which we model another?s internal mental states. Through ToM, we adjust our own behaviour to best suit a social context, and therefore it is essential to our everyday interactions with others. In ado... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Yu Dai, Yuqiao Liu, Lei Yang and Yufan Fu    
Idioms are a unique class of words in the Chinese language that can be challenging for Chinese machine reading comprehension due to their formal simplicity and the potential mismatch between their literal and figurative meanings. To address this issue, t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Erika Nazaruka,Tarmo Robal     Pág. I - II
Models allow us to simplify reality and give advantages to both decomposition and abstraction. Models can have various forms from textual, tabular, mathematical, and graphical to a combination of these formats. Formal models can be processed, or even exe... ver más
Revista: Complex Systems Informatics and Modeling Quarterly    Formato: Electrónico

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