185   Artículos

 
en línea
Florin Leon, Marius Gavrilescu, Sabina-Adriana Floria and Alina Adriana Minea    
This paper proposes a classification methodology aimed at identifying correlations between job ad requirements and transversal skill sets, with a focus on predicting the necessary skills for individual job descriptions using a deep learning model. The ap... ver más
Revista: Information    Formato: Electrónico

 
en línea
Eike Blomeier, Sebastian Schmidt and Bernd Resch    
In the early stages of a disaster caused by a natural hazard (e.g., flood), the amount of available and useful information is low. To fill this informational gap, emergency responders are increasingly using data from geo-social media to gain insights fro... ver más
Revista: Information    Formato: Electrónico

 
en línea
Maryan Rizinski, Andrej Jankov, Vignesh Sankaradas, Eugene Pinsky, Igor Mishkovski and Dimitar Trajanov    
The task of company classification is traditionally performed using established standards, such as the Global Industry Classification Standard (GICS). However, these approaches heavily rely on laborious manual efforts by domain experts, resulting in slow... ver más
Revista: Information    Formato: Electrónico

 
en línea
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic    
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im... ver más
Revista: Information    Formato: Electrónico

 
en línea
Janine Florath, Jocelyn Chanussot and Sina Keller    
Natural hazards can present a significant risk to road infrastructure. This infrastructure is a fundamental component of the transportation infrastructure, with significant importance. During emergencies, society heavily relies on the functionality of th... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng    
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Georgios P. Georgiou and Aretousa Giannakou    
Investigating heritage language (HL)-contact effects on the dominant language has received limited attention despite its importance in understanding the dynamic interplay between linguistic systems in situations of bilingualism. This study compares the a... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Yehia Ibrahim Alzoubi, Ahmet E. Topcu and Ahmed Enis Erkaya    
The growth in textual data associated with the increased usage of online services and the simplicity of having access to these data has resulted in a rise in the number of text classification research papers. Text classification has a significant influen... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Davide Chiarella    
The underwater environment is a harmful environment, yet one of the richest and least exploited. For these reasons the idea of a robotic companion with the task of supporting and monitoring divers during their activities and operations has been proposed.... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Gabriele Papadia, Massimo Pacella, Massimiliano Perrone and Vincenzo Giliberti    
The paper deals with the analysis of conversation transcriptions between customers and agents in a call center of a customer care service. The objective is to support the analysis of text transcription of human-to-human conversations, to obtain reports o... ver más
Revista: Algorithms    Formato: Electrónico

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