40   Artículos

 
en línea
Dania Tamayo-Vera, Xiuquan Wang and Morteza Mesbah    
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic domain is pivotal for addressing the multifaceted challenges posed by climate change on agriculture. This paper embarks on a systematic review to dissect the current ut... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Samuel de Oliveira, Oguzhan Topsakal and Onur Toker    
Automated Machine Learning (AutoML) is a subdomain of machine learning that seeks to expand the usability of traditional machine learning methods to non-expert users by automating various tasks which normally require manual configuration. Prior benchmark... ver más
Revista: Information    Formato: Electrónico

 
en línea
George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal    
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit... ver más
Revista: Information    Formato: Electrónico

 
en línea
Nirmal Acharya, Padmaja Kar, Mustafa Ally and Jeffrey Soar    
Significant clinical overlap exists between mental health and substance use disorders, especially among women. The purpose of this research is to leverage an AutoML (Automated Machine Learning) interface to predict and distinguish co-occurring mental hea... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lauren M. Paladino, Alexander Hughes, Alexander Perera, Oguzhan Topsakal and Tahir Cetin Akinci    
Globally, over 17 million people annually die from cardiovascular diseases, with heart disease being the leading cause of mortality in the United States. The ever-increasing volume of data related to heart disease opens up possibilities for employing mac... ver más
Revista: AI    Formato: Electrónico

 
en línea
Dagoberto Castellanos-Nieves and Luis García-Forte    
Automated machine learning (AutoML), which aims to facilitate the design and optimization of machine-learning models with reduced human effort and expertise, is a research field with significant potential to drive the development of artificial intelligen... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Swetha Lenkala, Revathi Marry, Susmitha Reddy Gopovaram, Tahir Cetin Akinci and Oguzhan Topsakal    
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis. EEG is a non-invasive medical test fo... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Konstantinos Gratsos , Stefanos Ougiaroglou and Dionisis Margaris    
Partition-based clustering is widely applied over diverse domains. Researchers and practitioners from various scientific disciplines engage with partition-based algorithms relying on specialized software or programming libraries. Addressing the need to b... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Richard Wen and Songnian Li    
Many spatial decision support systems suffer from user adoption issues in practice due to lack of trust, technical expertise, and resources. Automated machine learning has recently allowed non-experts to explore and apply machine-learning models in the i... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Konstantinos Filippou, George Aifantis, George A. Papakostas and George E. Tsekouras    
In this paper, we built an automated machine learning (AutoML) pipeline for structure-based learning and hyperparameter optimization purposes. The pipeline consists of three main automated stages. The first carries out the collection and preprocessing of... ver más
Revista: Information    Formato: Electrónico

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