Results 61 to 70 of about 197,388 (314)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
, 2015 Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Otero, Fernando E.B. +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
, 2007 A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is generated and applied to all of the images in the labeled training set. The
Mayo, Michael
core +1 more source
Simpler is better: a novel genetic algorithm to induce compact multi-label chain classifiers [PDF]
, 2015 Multi-label classification (MLC) is the task of assigning multiple class labels to an object based on the features that describe the object. One of the most effective MLC methods is known as Classifier Chains (CC).
Plastino, Alexandre +5 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai +4 more
wiley +1 more source
The Performance Comparison Of Ensemble Machine Learning Classifiers On Medical Datasets
, 2023 : The machine learning methodology consists of two stages: the training stage, during which an algorithmic classification program is taught to assign labels to data, and the testing stage, during which the algorithmic classification program is put ...
Erhan Turan +3 more
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FACIAL MICRO-EXPRESSION RECOGNITION USING CLASSIFIERS BASED ON MACHINE LEARNING METHODS
Модели, системы, сети в экономике, технике, природе и обществе, 2023 Background. The problem of the automatic facial micro-expression recognition from the image sequence can be solved using technologies on the basis of computer vision methods and algorithms.
O.V. Melnik +2 more
doaj +1 more source
Journal of Applied Logic, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source