Results 51 to 60 of about 331,795 (188)

A New Image Oversampling Method Based on Influence Functions and Weights

Applied Sciences
Although imbalanced data have been studied for many years, the problem of data imbalance is still a major problem in the development of machine learning and artificial intelligence. The development of deep learning and artificial intelligence has further
Jun Ye, Shoulei Lu, Jiawei Chen
doaj   +1 more source

Combining Textual and Visual Information for Image Retrieval in the Medical Domain [PDF]

, 2011
Yiannis Gkoufas, Anna Morou, Theodore Kalamboukis   +2 more
openalex   +1 more source

Logic replicant: a new machine learning algorithm for multiclass classification in small datasets

Machine Learning: Science and Technology
Multiclass classification with small datasets often presents a significant challenge for conventional machine learning (ML) algorithms, predicting with an accuracy affected by this context of data scarcity. To remedy this, this papers presents a novel ML
Pedro Corral, Roberto Centeno, Víctor Fresno   +2 more
doaj   +1 more source

The Impact of an Ontological Knowledge Representation on Information Retrieval: An Evaluation Study of OCLC's FRBR-Based FictionFinder [PDF]

, 2008
Myung-Dae Cho
openalex   +1 more source

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression

Scientific Reports
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data.
Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy   +3 more
doaj   +1 more source

Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease

Frontiers in Artificial Intelligence
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data.
Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens   +5 more
doaj   +1 more source

A novel model for expanding horizons in sign Language recognition

Scientific Reports
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik   +3 more
doaj   +1 more source

A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics

IEEE Access
Integrating Deep Learning (DL) into abdominal imaging represents a significant leap forward in diagnosing and managing abdominal conditions, offering the potential to transform conventional medical practices.
Mariem Bellal, Sanaa El Fkihi, Korhan Cengiz, Nikola Ivkovic   +3 more
doaj   +1 more source

The Effect of Training Data Size on Disaster Classification from Twitter

Information
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis, Georgios Sylaios, Avi Arampatzis   +2 more
doaj   +1 more source

An Enhanced Information Retrieval-Based Bug Localization System with Code Coverage, Stack Traces, and Spectrum Information

, 2022
Shakirat Aderonke Salihu, Oluwakemi Christiana Abikoye   +1 more
openalex   +2 more sources