Results 51 to 60 of about 224,004 (328)
Journal of Applied Sciences and Environmental Management, 2022 Clinicians are required to make an early prediction of diseases to save a life, especially cerebrovascular diseases. The objective of this research is to use mathematical models such as boosting machine learning algorithms as a tool to be applied by ...
S. D. Abdullahi, S. A. Muhammad
doaj +1 more source
Class Rectification Hard Mining for Imbalanced Deep Learning
, 2017 Recognising detailed facial or clothing attributes in images of people is a challenging task for computer vision, especially when the training data are both in very large scale and extremely imbalanced among different attribute classes.
Dong, Qi, Gong, Shaogang, Zhu, Xiatian
core +1 more source
Molecular Oncology, EarlyView.This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris +10 more
wiley +1 more source
Imbalanced data classification using MapReduce and relief
Journal of Information and Telecommunication, 2018 Classification of imbalanced data has been reported to require modification of standard classification algorithms and lately has attracted a lot of attention due to practical applications in industry, banking and finance.
Joanna Jedrzejowicz +3 more
doaj +1 more source
Toward a Balanced Feature Space for the Deep Imbalanced Regression
IEEE Access, 2023 Regression with imbalanced data has been regarded as a more realistic scenario due to the difficulty of data acquisition and label annotations. However, it has not been extensively studied compared to the imbalanced classification.
Jangho Lee
doaj +1 more source
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
, 2017 Class imbalance problem has been a challenging research problem in the fields of machine learning and data mining as most real life datasets are imbalanced.
Ahmed, Sajid +6 more
core +1 more source
Redox regulation meets metabolism: targeting PRDX2 to prevent hepatocellular carcinoma
Molecular Oncology, EarlyView.PRDX2 acts as a central redox hub linking metabolic dysfunction‐associated steatohepatitis (MASH) to hepatocellular carcinoma (HCC). In normal hepatocytes, PRDX2 maintains redox balance and metabolic homeostasis under oxidative stress. In contrast, during malignant transformation, PRDX2 promotes oncogenic signaling, stemness, and tumor initiation ...
Naroa Goikoetxea‐Usandizaga +2 more
wiley +1 more source
Prediction of Depression for Undergraduate Students Based on Imbalanced Data by Using Data Mining Techniques [PDF]
, 2022 Warawut Narkbunnum, Kittipol Wisaeng
openalex +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
On Improving the Classification of Imbalanced Data
Cybernetics and Information Technologies, 2017 Mining of imbalanced data isachallenging task due to its complex inherent characteristics. The conventional classifiers such as the nearest neighbor severely bias towards the majority class, as minority class data are under-represented and outnumbered ...
Mathews Lincy Meera, Seetha Hari
doaj +1 more source