Results 41 to 50 of about 3,073,916 (262)

Enhancing random forests performance in microarray data classification [PDF]

, 2013
Random forests are receiving increasing attention for classification of microarray datasets. We evaluate the effects of a feature selection process on the performance of a random forest classifier as well as on the choice of two critical parameters, i.e.
DESSI, NICOLETTA, MILIA, GABRIELE, PES, BARBARA   +2 more
core   +1 more source

Enhancing Student's Performance Classification Using Ensemble Modeling

Iraqi Journal for Computer Science and Mathematics, 2023
 A precise prediction of student performance is an important aspect within educational institutions to improve results and provide personalized support of students.
Ahmed Adil Nafea, Muthanna Mishlish, Ali Muwafaq Shaban Shaban, Mohammed M AL-Ani, Khattab M Ali Alheeti, Hussam J. Mohammed   +5 more
doaj   +1 more source

An AUC-based Permutation Variable Importance Measure for Random Forests [PDF]

, 2012
The random forest (RF) method is a commonly used tool for classification with high dimensional data as well as for ranking candidate predictors based on the so-called random forest variable importance measures (VIMs).
A Estabrooks, AL Boulesteix, AL Boulesteix, Anne-Laure Boulesteix, C Chen, C Liu, C Strobl, Carolin Strobl, F Briggs, G Batista, J Chang, J Van Hulse, J Van Hulse, K Nicodemus, KK Nicodemus, KK Nicodemus, KK Nicodemus, L Breiman, M Calle, M Cummings, M Khalilia, M Kubat, M Pepe, N Japkowicz, R Blagus, Silke Janitza, T Fawcett, T Hothorn, T Hothorn, T Khoshgoftaar, WJ Lin, Y Huang, Y Sun, Y Xie   +33 more
core   +3 more sources

Validation of Soft Classification Models using Partial Class Memberships: An Extended Concept of Sensitivity & Co. applied to the Grading of Astrocytoma Tissues

, 2013
We use partial class memberships in soft classification to model uncertain labelling and mixtures of classes. Partial class memberships are not restricted to predictions, but may also occur in reference labels (ground truth, gold standard diagnosis) for ...
Beleites, Claudia, Salzer, Reiner, Sergo, Valter   +2 more
core   +1 more source

Variable Selection Bias in Classification Trees Based on Imprecise Probabilities [PDF]

, 2005
Classification trees based on imprecise probabilities provide an advancement of classical classification trees. The Gini Index is the default splitting criterion in classical classification trees, while in classification trees based on imprecise ...
Strobl, Carolin
core   +3 more sources

The Devil is in the Tails: Fine-grained Classification in the Wild [PDF]

, 2017
The world is long-tailed. What does this mean for computer vision and visual recognition? The main two implications are (1) the number of categories we need to consider in applications can be very large, and (2) the number of training examples for most ...
Perona, Pietro, Van Horn, Grant
core   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Selection of optimum frequency bands for detection of epileptiform patterns

Healthcare Technology Letters, 2019
The significant research effort in the domain of epilepsy has been directed toward the development of an automated seizure detection system. In their usage of the electrophysiological recordings, most of the proposals thus far have followed the ...
Piyush Swami, Manvir Bhatia, Manvir Bhatia, Manjari Tripathi, Poodipedi Sarat Chandra, Bijaya K. Panigrahi, Tapan K. Gandhi   +6 more
doaj   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

Predicting Classification Performance for Benchmark Hyperspectral Datasets

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The classification of hyperspectral images (HSIs) is an essential application of remote sensing and it is addressed by numerous publications every year.
Bin Zhao, Haukur Isfeld Ragnarsson, Magnus O. Ulfarsson, Gabriele Cavallaro, Jon Atli Benediktsson   +4 more
doaj   +1 more source