Results 21 to 30 of about 19,261 (212)
Multilevel Sentence Embeddings for Personality Prediction [PDF]
Representing text into a multidimensional space can be done with sentence embedding models such as Sentence-BERT (SBERT). However, training these models when the data has a complex multilevel structure requires individually trained class-specific models,
Paolo Tirotta +2 more
semanticscholar +1 more source
A novel machine learning strategy for model selections - Stepwise Support Vector Machine (StepSVM).
An essential aspect of medical research is the prediction for a health outcome and the scientific identification of important factors. As a result, numerous methods were developed for model selections in recent years.
Chao-Yu Guo, Yu-Chin Chou
doaj +1 more source
LIETUVIŠKOSIOS NEO PI-R VERSIJOS PSICHOMETRINIAI RODIKLIAI
Pastaruosius du dešimtmečius asmenybės psichologiniuose tyrimuose Penkių faktorių modelis (PFM), kitaip žinomas kaip „Penketas svarbiausiųjų“, tampa dominuojančia paradigma.
Rita Žukauskienė, Rasa Barkauskienė
doaj +1 more source
Beyond the Big Five factors: using facets and nuances for enhanced prediction in life outcomes
Research on personality traits predicting life outcomes has typically been investigated using the Big Five factors and only occasionally their facets. However, recent research suggests that the use of items (reflecting personality nuances) can account ...
Maiken Due Nielsen, Petri J. Kajonius
semanticscholar +1 more source
Background A joint, hierarchical structure of psychopathology and personality has been reported in adults but should also be investigated at earlier ages, as psychopathology often develops before adulthood. Here, we investigate the joint factor structure
L. Gjerde +9 more
semanticscholar +1 more source
Multiview Deep Autoencoder-Inspired Layerwise Error-Correcting Non-Negative Matrix Factorization
Multiview Clustering (MVC) plays a crucial role in the holistic analysis of complex data by leveraging complementary information from multiple perspectives, a necessity in the era of big data.
Yuan Liu +3 more
doaj +1 more source
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley +1 more source
The time between adolescence and adulthood is a transformative period of development. During these years, youth are exploring work, relationships, and worldviews while gaining the capacities needed to take on adult roles.
Whitney R. Ringwald +4 more
semanticscholar +1 more source
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Investigating undergraduate students’ ideas about the fate of the Universe
As astronomers further develop an understanding of the fate of the Universe, it is essential to study students’ ideas on the fate of the Universe so that instructors can communicate the field’s current status more effectively.
Mallory Conlon +3 more
doaj +1 more source

