Results 11 to 20 of about 1,274,997 (260)
Mining Actuarial Risk Predictors in Accident Descriptions Using Recurrent Neural Networks
Risks, 2020 One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts.
Jean-Thomas Baillargeon +2 more
doaj +1 more source
Patterns, 2020 Summary: Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observations
Hossein Estiri +8 more
doaj +1 more source
THE ROLE OF DATA VISUALIZATION IN ENHANCING TEXTUAL ANALYSIS [PDF]
Trakia Journal of Sciences, 2023 PURPOSE: The article aims to explore the integral role of data visualization in enhancing textual analysis, elucidating its current applications, ethical implications, challenges, and future trends.
P. Milev
doaj +1 more source
Triplet Loss Network for Unsupervised Domain Adaptation
Algorithms, 2019 Domain adaptation is a sub-field of transfer learning that aims at bridging the dissimilarity gap between different domains by transferring and re-using the knowledge obtained in the source domain to the target domain.
Imad Eddine Ibrahim Bekkouch +4 more
doaj +1 more source
IoT, 2022 In this paper, we compare and assess the efficacy of a number of time-series instance feature representations for anomaly detection. To assess whether there are statistically significant differences between different feature representations for anomaly ...
Rahul Agrahari +4 more
doaj +1 more source
Achieving deep clustering through the use of variational autoencoders and similarity-based loss
Mathematical Biosciences and Engineering, 2022 Clustering is an important and challenging research topic in many fields. Although various clustering algorithms have been developed in the past, traditional shallow clustering algorithms cannot mine the underlying structural information of the data ...
He Ma
doaj +1 more source
A Survey of Data Representation for Multi-Modality Event Detection and Evolution
Applied Sciences, 2022 The rapid growth of online data has made it very convenient for people to obtain information. However, it also leads to the problem of “information overload”.
Kejing Xiao, Zhaopeng Qian, Biao Qin
doaj +1 more source
Variations in Variational Autoencoders - A Comparative Evaluation
IEEE Access, 2020 Variational Auto-Encoders (VAEs) are deep latent space generative models which have been immensely successful in many applications such as image generation, image captioning, protein design, mutation prediction, and language models among others.
Ruoqi Wei +4 more
doaj +1 more source
Robust Graph Regularized Nonnegative Matrix Factorization
IEEE Access, 2022 Nonnegative Matrix Factorization (NMF) has become a popular technique for dimensionality reduction, and been widely used in machine learning, computer vision, and data mining. Existing unsupervised NMF methods impose the intrinsic geometric constraint on
Qi Huang +3 more
doaj +1 more source
Design and Implementation of a Hybrid Ontological-Relational Data Repository for SIEM Systems
Future Internet, 2013 The technology of Security Information and Event Management (SIEM) becomes one of the most important research applications in the area of computer network security.
Igor Saenko +3 more
doaj +1 more source