Results 51 to 60 of about 819,529 (261)

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

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

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

Measurable Residual Disease Monitoring During Treatment for Pediatric Acute Myeloid Leukemia in First Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen, Kristian Juul Sandahl, Lene Karlsson, Jonas Abrahamsson, Nira Arad‐Cohen, Daniel Cheuk, Barbara De Moerloose, Linda Fogelstrand, Jose Maria Fernandez Navarro, Bianca F. Goemans, Kirsi Jahnukainen, Gertjan Kaspers, Zhanna Kovalova, Monica Cheng Munthe‐Kaas, Ulrika Norén‐Nyström, Josefine Palle, Ramune Pasauliene, Cornelis Jan Pronk, Kadri Saks, Anne Tierens, Henrik Hasle, Kristian Løvvik Juul‐Dam   +21 more
wiley   +1 more source

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

Survival by Race and Ethnicity in Children and Adolescents/Young Adults With Relapsed/Refractory Hodgkin Lymphoma: A Pooled Analysis of Children's Oncology Group Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan, Lindsay A. Renfro, Yue Wu, Katia M. Crisler, Erin Marcotte, Tanya Trippett, Terzah Horton, Bradford S. Hoppe, Frank G. Keller, Chris Forlenza, Cindy Schwartz, Kara M. Kelly, Peter D. Cole, Sharon M. Castellino, Justine M. Kahn   +14 more
wiley   +1 more source

The Relationship Between Physical Activity and Left Ventricular Remodeling in Childhood Cancer Survivors Treated With Anthracyclines: A Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan, Sitong Chen, F. Lennie Wong, Nathan Young, Anna Qi, Christopher Davis, Sanjeet Hegde, Nicholas Gloude, Kasey J. Leger, Kelly D. Getz, Francisco Contijoch, Kirsten Ness, Bonnie Ky, Dennis Kuo, Sheri J. Hartman, Saro H. Armenian   +15 more
wiley   +1 more source

Childhood Acute Lymphoblastic Leukemia Survival in Western Kenya: Reduction in Early Deaths and Treatment Abandonment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara, George Bogonko, Festus Njuguna, Sandra Langat, Martha Kipngetich, Dennis Njenga, Gertjan Johannes Kaspers, Terry Allen Vik   +7 more
wiley   +1 more source

ML-based validation of experimental randomization in learning games

Frontiers in Artificial Intelligence
Randomization is a standard method in experimental research, yet its validity is not always guaranteed. This study introduces machine learning (ML) models as supplementary tools for validating participant randomization.
Pei-Hsuan Hsieh, Pei-Hsuan Hsieh
doaj   +1 more source