13 papers · ranked by Valyu relevance
Arpit Merchant, Ananth Mahadevan, Michael Mathioudakis, Adam Lipowski
'Adam Lipowski'] The task of node classification concerns a network where nodes are associated with labels, but labels are known only for some of the nodes. The task consists of inferring the unknown labels given the known node labels, the structure of the network, and other known node attributes. Common node…
Kaushalya Madhawa, Tsuyoshi Murata
Current breakthroughs in the field of machine learning are fueled by the deployment of deep neural network models. Deep neural networks models are notorious for their dependence on large amounts of labeled data for training them. Active learning is being used as a solution to train classification models with less…
Zhenwen Wang, Fengjing Yin, Wentang Tan, Weidong Xiao
In the real world, a large amount of data can be described by networks using relations between data. The data described by networks can be called networked data. Classification is one of the main tasks in analyzing networked data. Most of the previous methods find the class of the unlabeled node using the classes of…
Amir Mohammad Heravi, Fatemeh Hataminia, Bashir Rasoulian, Maryam Tavakoli + 3 more
'Maryam Tavakoli' 'Narjes Sadat Yaghobi' 'Amir Hossein Jafarian' 'Seyed Ali Alamdaran'] Introduction: Lymphadenopathy often causes anxiety due to its association with malignancy or serious infections. This study investigates the role of ultrasound features in distinguishing benign from malignant neck lymphadenopathy…
Khaoula Ait Rai, Mustapha Machkour, Jilali Antari
Researchers have paid a lot of attention to complex networks in recent decades. Due to their rapid evolution, they turn into a major scientific and innovative field. Several studies on complex networks are carried out, and other subjects are evolving every day such as the challenge of detecting influential nodes. In…
Fenghui Zhu, Wenxu Wang, Zengru Di, Ying Fan + 1 more
Complex networks with community structures are ubiquitous in the real world. Despite many approaches developed for detecting communities, we continue to lack tools for identifying overlapping and bridging nodes that play crucial roles in the interactions and communications among communities in complex networks. Here we…
Yiwen Wang, Min Yao, Jianhua Yang
The classification of different cancer types owns great significance in the medical field. However, the great majority of existing cancer classification methods are clinical-based and have relatively weak diagnostic ability. With the rapid development of gene expression technology, it is able to classify different…
Liuhai Wang, Xin Du, Bo Jiang, Weifeng Pan + 3 more
'Dongsheng Liu' 'Amelia Carolina Sparavigna'] Software maintenance is indispensable in the software development process. Developers need to spend a lot of time and energy to understand the software when maintaining the software, which increases the difficulty of software maintenance. It is a feasible method to…
Yihan Deng, Kerstin Denecke
The Swiss classification of surgical interventions (CHOP) has to be used in daily practice by physicians to classify clinical procedures. Its purpose is to encode the delivered healthcare services for the sake of quality assurance and billing. For encoding a procedure, a code of a maximal of 6-digits has to be selected…
Lidong Fu, Xin Ma, Zengfa Dou, Yun Bai + 2 more
In the field of complex network analysis, accurately identifying key nodes is crucial for understanding and controlling information propagation. Although several local centrality methods have been proposed, their accuracy may be compromised if interactions between nodes and their neighbors are not fully considered. To…
Feifei Wang, Zejun Sun, Guan Wang, Bohan Sun + 1 more
In a complex network, the identification of node influence and the localization of key nodes play a crucial role in analyzing network structure and determining the positioning of nodes for information transmission control, resource redistribution, and network regulation. In this study, we propose a method for…
Konrad Pawełczyk, Marek Marciniak, Piotr Błasiak
Background The aim of the study was to evaluate the prognostic power of new classifications of N descriptor created basing on the number (NLN) and the ratio of metastatic lymph nodes (RLN) in NSCLC compared to the current classification (CLN). Methods The data of 529 patients with NSCLC operated with the intention of…
Daniel Fernández-Álvarez, Johannes Frey, Jose Emilio Labra Gayo, Daniel Gayo-Avello + 2 more
'Daniel Gayo-Avello' 'Sebastian Hellmann' 'Jacopo Soldani'] The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of this information with…