Results 61 to 70 of about 40,856 (264)

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Explainable Ensemble Learning Framework with SMOTE, SHAP and LIME for Predicting 30-Day Readmission in Diabetic Patients

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hospital readmission among diabetic patients poses a significant burden on healthcare systems due to its frequency and associated costs. This study presents a machine learning framework for predicting 30-day readmission in diabetic patients using the ...
Joshua Pinem, Widi Astuti, Adiwijaya
doaj   +1 more source

Prediction of progression in idiopathic pulmonary fibrosis using CT scans atbaseline: A quantum particle swarm optimization - Random forest approach [PDF]

, 2019
Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by an unpredictable progressive declinein lung function. Natural history of IPF is unknown and the prediction of disease progression at the time ofdiagnosis is notoriously ...
Brown, Matthew S., Goldin, Jonathan G., Kim, Grace Hyun J., Shi, Yu, Wong, Weng Kee   +4 more
core  

GLP‐1 agonists and the gut microbiome: A bidirectional relationship

British Journal of Clinical Pharmacology, EarlyView.
Abstract Glucagon‐like peptide‐1 (GLP‐1) receptor agonists have transformed the management of type 2 diabetes mellitus (T2DM) and obesity, yet their interactions with the gut microbiome remain an emerging frontier in pharmacological and metabolic research.
Srinivas Kamath, Nicole S. L. Chan, Paul Joyce   +2 more
wiley   +1 more source

Optimizing Decision Tree and Random Forest with Grid Search and SMOTE for Malware Classification on IoT Network Traffic

Journal of Applied Informatics and Computing
The rapid growth of the Internet of Things (IoT) has increased the risk of malware attacks, posing serious threats especially to micro, small, and medium enterprises (MSMEs) that often lack sufficient cybersecurity resources.
Muhammad Nurus Siroj, Akhmad Khanif Zyen, Gentur Wahyu Nyipto Wibowo   +2 more
doaj   +1 more source

A-SMOTE: A New Preprocessing Approach for Highly Imbalanced Datasets by Improving SMOTE

International Journal of Computational Intelligence Systems, 2019
Imbalance learning is a challenging task for most standard machine learning algorithms. The Synthetic Minority Oversampling Technique (SMOTE) is a well-known preprocessing approach for handling imbalanced datasets, where the minority class is oversampled by producing synthetic examples in feature vector rather than data space.
Ahmed Saad Hussein, Tianrui Li, Chubato Wondaferaw Yohannese, Kamal Bashir   +3 more
openaire   +2 more sources

Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification

, 2020
Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE) architecture to generate synthetic samples for variable length, multi-feature ...
Ger, Stephanie, Klabjan, Diego
core  

Who Will Retweet This? Automatically Identifying and Engaging Strangers on Twitter to Spread Information [PDF]

, 2014
There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in an emergency.
Chen, Jilin, Lee, Kyumin, Mahmud, Jalal, Nichols, Jeffrey, Zhou, Michelle   +4 more
core   +1 more source

Systematic review and scoring‐based selection of pharmacokinetic models for precision dosing of vancomycin in neonates and children

British Journal of Clinical Pharmacology, EarlyView.
This systematic review identified 112 population pharmacokinetic models of vancomycin in neonates and children. To support rational model selection for model‐informed precision, we developed and applied expert‐driven, transparent criteria that integrate both methodological rigour and clinical relevance.
Zoë Vander Elst, Pieter‐Jan Spiessens, Dorian Vanneste, Nada Dia, Matthias Gijsen, Isabel Spriet, Karel Allegaert, Erwin Dreesen, Anne Smits   +8 more
wiley   +1 more source

Performance Comparison of Machine Learning Algorithms Using EfficientNetB0 Feature Extraction on Dental Disease Classification

Journal of Applied Informatics and Computing
Oral health conditions such as dental caries, calculus, gingivitis, and ulcers are prevalent globally and require accurate early detection to prevent further complications.
Mohammad Faiq Ruliff Mustafa, Ajie Kusuma Wardhana   +1 more
doaj   +1 more source