31   Artículos

 
en línea
Zhe Yang, Yi Huang, Yaqin Chen, Xiaoting Wu, Junlan Feng and Chao Deng    
Controllable Text Generation (CTG) aims to modify the output of a Language Model (LM) to meet specific constraints. For example, in a customer service conversation, responses from the agent should ideally be soothing and address the user?s dissatisfactio... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lianlian He, Hao Li and Rui Zhang    
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeferen... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Moatsum Alawida, Bayan Abu Shawar, Oludare Isaac Abiodun, Abid Mehmood, Abiodun Esther Omolara and Ahmad K. Al Hwaitat    
The Chat Generative Pre-training Transformer (GPT), also known as ChatGPT, is a powerful generative AI model that can simulate human-like dialogues across a variety of domains. However, this popularity has attracted the attention of malicious actors who ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Ioana Branescu, Octavian Grigorescu and Mihai Dascalu    
Effectively understanding and categorizing vulnerabilities is vital in the ever-evolving cybersecurity landscape, since only one exposure can have a devastating effect on the entire system. Given the increasingly massive number of threats and the size of... 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
Jiajia Peng and Tianbing Tang    
Image captioning, also recognized as the challenge of transforming visual data into coherent natural language descriptions, has persisted as a complex problem. Traditional approaches often suffer from semantic gaps, wherein the generated textual descript... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim and Yu-Seop Kim    
Intracerebral hemorrhage (ICH) is a severe cerebrovascular disorder that poses a life-threatening risk, necessitating swift diagnosis and treatment. While CT scans are the most effective diagnostic tool for detecting cerebral hemorrhage, their interpreta... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Archana Tikayat Ray, Bjorn F. Cole, Olivia J. Pinon Fischer, Ryan T. White and Dimitri N. Mavris    
The system complexity that characterizes current systems warrants an integrated and comprehensive approach to system design and development. This need has brought about a paradigm shift towards Model-Based Systems Engineering (MBSE) approaches to system ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Guangming Ling, Xiaofeng Mu, Chao Wang and Aiping Xu    
Address parsing is a crucial task in natural language processing, particularly for Chinese addresses. The complex structure and semantic features of Chinese addresses present challenges due to their inherent ambiguity. Additionally, different task scenar... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Md. Mostafizer Rahman and Yutaka Watanobe    
In recent years, the rise of advanced artificial intelligence technologies has had a profound impact on many fields, including education and research. One such technology is ChatGPT, a powerful large language model developed by OpenAI. This technology of... ver más
Revista: Applied Sciences    Formato: Electrónico

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