Deep Fusion Model Combining Explicit and Implicit Feature Interactions [PDF]
Jisuanji gongcheng, 2020 Feature engineering has significant effects on performance of machine learning algorithms,but its cost continues to grow with scaling Internet data.In order to reduce the dependence on feature engineering,this paper proposes a fusion model combining ...
NI Zhiwen, MA Xiaohu, SUN Xiao, BIAN Lina
doaj +1 more source
Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters [PDF]
, 2020 Data analysis in science, e.g., high-energy particle physics, is often subject to an intractable likelihood if the observables and observations span a high-dimensional input space.
Jörger, Simon +3 more
core +3 more sources
Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification
Diagnostics, 2023 Acute lymphoblastic leukemia (ALL) is a lethal blood cancer that is characterized by an abnormal increased number of immature lymphocytes in the blood or bone marrow. For effective treatment of ALL, early assessment of the disease is essential.
Ghada Atteia +2 more
doaj +1 more source
Taxonomy-aware feature engineering for microbiome classification
BMC Bioinformatics, 2018 Background What is a healthy microbiome? The pursuit of this and many related questions, especially in light of the recently recognized microbial component in a wide range of diseases has sparked a surge in metagenomic studies.
Mai Oudah, Andreas Henschel
doaj +1 more source
Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis
Entropy, 2023 The engineering challenge of rolling bearing condition monitoring has led to a large number of method developments over the past few years. Most commonly, vibration measurement data are used for fault diagnosis using machine learning algorithms.
Christoph Bienefeld +3 more
doaj +1 more source
Malware Detection Based on API Sequence Feature Engineering and Feature Learning [PDF]
Jisuanji kexueAPI sequence-based malware analysis methods can effectively capture the behavioral characteristics of programs during runtime.However,existing detection approaches typically focus solely on API names while neglecting parameters and return values,or fail ...
YANG Yizhe, LU Tianliang, PENG Shufan, LI Xiaolin
doaj +1 more source
BioMedical Engineering OnLine, 2023 Background This study aimed to develop a pipeline for selecting the best feature engineering-based radiomic path to predict epidermal growth factor receptor (EGFR) mutant lung adenocarcinoma in 18F-fluorodeoxyglucose (FDG) positron emission tomography ...
Zefeng Liu +5 more
doaj +1 more source
Engineering superficial zone features in tissue engineered cartilage [PDF]
Biotechnology and Bioengineering, 2012 AbstractA major challenge in cartilage tissue engineering is the need to recreate the native tissue's anisotropic extracellular matrix structure. This anisotropy has important mechanical and biological consequences and could be crucial for integrative repair.
Tony, Chen +4 more
openaire +2 more sources
Sarcasm detection on Twitter [PDF]
, 2016 State-of-the-art approaches for sarcasm detection in social media combine lexical clues with contextual information surrounding the potentially sarcastic posting including author information.
Lyu, Hao
core +1 more source
ServeNet: A Deep Neural Network for Web Services Classification
, 2020 Automated service classification plays a crucial role in service discovery, selection, and composition. Machine learning has been widely used for service classification in recent years.
Grolinger, Katarina +6 more
core +1 more source