Results 71 to 80 of about 539,097 (330)
Emerging SMOTE and GAN Variants for Data Augmentation in Imbalance Machine Learning Tasks: A Review
IEEE AccessClass imbalance is a pervasive challenge in real-world machine learning (ML) applications, where the minority class, often the class of interest, is significantly underrepresented.
Amadi G. Udu +5 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Ensemble-SMOTE: Mitigating Class Imbalance in Graduate on Time Detection
Journal of Informatics and Web EngineeringIn education, detecting students graduating on time is difficult due to high data complexity. Researchers have employed various approaches in identifying on-time graduation with Machine Learning, but it remains a challenging task due to the class ...
Theng-Jia Law +4 more
doaj +1 more source
Yule-generated trees constrained by node imbalance
, 2013 The Yule process generates a class of binary trees which is fundamental to population genetic models and other applications in evolutionary biology.
Disanto, Filippo +2 more
core +1 more source
Imbalance: A comprehensive multi-interface Juliatoolbox to address class imbalance [PDF]
Journal of Open Source SoftwareEssam Wisam, Anthony D. Blaom
openalex +2 more sources
Symmetry, 2020 Software defect prediction (SDP) is the technique used to predict the occurrences of defects in the early stages of software development process. Early prediction of defects will reduce the overall cost of software and also increase its reliability. Most of the defect prediction methods proposed in the literature suffer from the class imbalance problem.
Kiran Kumar Bejjanki +2 more
openaire +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
, 2016 Increasing the spin imbalance in superconductors can spatially modulate the gap by forming Cooper pairs with finite momentum. For large imbalances compared to the Fermi energy, the inhomogeneous FFLO superconductor ultimately becomes a normal metal ...
Piazza, Francesco +2 more
core +1 more source
Dealing with Class Imbalance using Thresholding
CoRR, 2016 We propose thresholding as an approach to deal with class imbalance. We define the concept of thresholding as a process of determining a decision boundary in the presence of a tunable parameter. The threshold is the maximum value of this tunable parameter where the conditions of a certain decision are satisfied.
Charmgil Hong +2 more
openaire +2 more sources
Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source