Results 61 to 70 of about 1,014,031 (308)

A New Ant Colony Algorithm for Multi-Label Classification with Applications in Bioinformatics [PDF]

, 2006
The conventional classification task of data mining can be called single-label classification, since there is a single class attribute to be predicted.
Chan, Allen, Allen Chan, Alex A. Freitas, Freitas, Alex A.   +3 more
core   +1 more source

LSTM Network and OCR Performance for Classification of Decimal Dewey Classification Code

Record and Library Journal, 2020
Background of the study: Giving book code by a librarian in accordance with the Decimal Dewey Classification system aims to facilitate the search for books on the shelf precisely and quickly.
Yesy Diah Rosita, Yanuarini Nur Sukmaningtyas   +1 more
doaj   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

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, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

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, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Optimization of the Mathematical Model of Cyclone Separation Performance Based on Response Surface Analysis

Kuangchan zonghe liyong
This is an article in the field of mining engineering. With the increasing application of cyclone in the field of mineral processing, the influence of its operating factors on the separation performance has been paid more and more attention in the ...
Longfei CONG, Shengyu WANG, Jiajing LUO, Changchun ZHOU   +3 more
doaj   +1 more source

Classification Performance of Confidence-Driven Centroids

Cybernetics and Systems Analysis
Hyperdimensional computing (HDC) is a powerful algorithmic framework at the intersection of symbolic and neural network Artificial Intelligence. In particular, HDC has received significant attention as a suitable candidate for low-resource machine learning tasks, exemplified by wearable Internet of Things.
Smets, L., Rachkovskij, D., Osipov, E., Volkov, O., Van Leekwijck, W., Latré, S.   +5 more
openaire   +3 more sources

Performance measures for classification systems with rejection [PDF]

Pattern Recognition, 2017
Classifiers with rejection are essential in real-world applications where misclassifications and their effects are critical. However, if no problem specific cost function is defined, there are no established measures to assess the performance of such classifiers.
Filipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic   +2 more
openaire   +3 more sources

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, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Evaluation of Classification Algorithms in Prediction of Students Performance: A Comparative Analysis

, 2021
The thesis covers the application and evaluation of classification algorithms to predict failures and potential academic performance of students based on Portuguese secondary school students data.
Asadova, Fidan
core  

Performance Variability in Zero-Shot Classification

LatinX in AI at Neural Information Processing Systems Conference 2020, 2020
Zero-shot classification (ZSC) is the task of learning predictors for classes not seen during training. Although the different methods in the literature are evaluated using the same class splits, little is known about their stability under different class partitions.
Matías Molina, Jorge Sánchez
openaire   +2 more sources