Results 61 to 70 of about 106,507 (280)

Anomaly Detection for imbalanced datasets with Deep Generative Models [PDF]

, 2018
Many important data analysis applications present with severely imbalanced datasets with respect to the target variable. A typical example is medical image analysis, where positive samples are scarce, while performance is commonly estimated against the ...
Buitrago, Nazly Rocio Santos, Mavroeidis, Dimitrios, Menkovski, Vlado, Tonnaer, Loek   +3 more
core   +1 more source

Predictive Modeling of ICU Healthcare-Associated Infections from Imbalanced Data. Using Ensembles and a Clustering-Based Undersampling Approach

, 2019
Early detection of patients vulnerable to infections acquired in the hospital environment is a challenge in current health systems given the impact that such infections have on patient mortality and healthcare costs.
Ballesteros-Herráez, Juan Carlos, Kraiem, Mohamed S., Moreno-García, María N., Sánchez-Barba, Mercedes, Sánchez-Hernández, Fernando   +4 more
core   +1 more source

Erythropoietin modulates hepatic inflammation, glucose homeostasis, and soluble epoxide hydrolase and epoxides in high‐fat diet‐induced obese mice

FEBS Open Bio, EarlyView.
Erythropoietin administration suppresses hepatic soluble epoxide hydrolase (sEH) expression, leading to increased CYP‐derived epoxides. This is associated with a shift in hepatic macrophage polarization characterized by reduced M1 markers and increased M2 markers, along with reduced hepatic inflammation, suppressed hepatic lipogenesis, and attenuated ...
Takeshi Goda, Satoru Sugimoto, Chiharu Cho, Madoka Konishi, Nozomi Inoue, Satoshi Miyagaki, Yasuhiro Kawabe, Takuro Okamura, Masahide Hamaguchi, Hisakazu Nakajima, Michiaki Fukui, Masakazu Shinohara, Tomoko Iehara   +12 more
wiley   +1 more source

Ensemble Capsule Network with an Attention Mechanism for the Fault Diagnosis of Bearings from Imbalanced Data Samples

Sensors, 2022
In order to solve the problem of imbalanced and noisy data samples for the fault diagnosis of rolling bearings, a novel ensemble capsule network (Capsnet) with a convolutional block attention module (CBAM) that is based on a weighted majority voting ...
Zengbing Xu, Carman Ka Man Lee, Yaqiong Lv, Jeffery Chan   +3 more
doaj   +1 more source

High-Resolution Road Vehicle Collision Prediction for the City of Montreal

, 2019
Road accidents are an important issue of our modern societies, responsible for millions of deaths and injuries every year in the world. In Quebec only, in 2018, road accidents are responsible for 359 deaths and 33 thousands of injuries. In this paper, we
Glatard, Tristan, Guédon, Timothée, Hébert, Antoine, Jaumard, Brigitte   +3 more
core   +1 more source

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha, Bishwas Mandal, Vishal Mandal, Asis Shrestha, Amir Babu Shrestha   +4 more
wiley   +1 more source

Solving Simulated Imbalanced Body Performance Data using A-SUWO and Tomek Link Algorithm

Journal of Applied Engineering and Technological Science
This research examines the impact of various sampling techniques on the performance of classification models in the context of imbalanced datasets, employing the body performance dataset as a case study.  Many studies in this field analyze the effect of
Febryan Grady, Joel Rizky Wahidiyat, Abba Suganda Girsang   +2 more
doaj   +1 more source

An Imbalanced R-STDP Learning Rule in Spiking Neural Networks for Medical Image Classification

IEEE Access, 2020
Spiking neural networks (SNNs) have the advantages of inherent power-efficiency, biological plausibility and good image recognition performance. They are good candidates for medical image classification especially when the labeled training data are ...
Qian Zhou, Cong Ren, Saibing Qi
doaj   +1 more source

DefectNET: multi-class fault detection on highly-imbalanced datasets

, 2019
As a data-driven method, the performance of deep convolutional neural networks (CNN) relies heavily on training data. The prediction results of traditional networks give a bias toward larger classes, which tend to be the background in the semantic ...
Anantrasirichai, N., Bull, David
core   +1 more source

Aging Is a Key Driver for Adult Acute Myeloid Leukemia

Aging and Cancer, EarlyView.
Acute myeloid leukemia (AML) is a classical age‐related hematologic malignancy, and a key driver of AML is aging, which profoundly regulates intrinsic factors such as genomic instability, epigenetic reprogramming, and metabolic dysregulation, and alters bone marrow microenvironment.
Rong Yin, Haojian Zhang
wiley   +1 more source