Results 11 to 20 of about 461,060 (258)
Educators' loss of ability to read students' comprehension level during the class through quick questions or nonverbal communication is one of the main challenges of online and blended learning. Many researchers recently tackled this problem by proposing
Ali Al-Zawqari +2 more
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A conceptual basis for feature engineering
Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems. Users are focused on the problem domain, where the system's features are the primary concern. Developers are focused on the solution domain, where the system's life-cycle artifacts are key.
C. R. TURNER +3 more
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The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits.
Rebwar M. Nabi +2 more
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Deep Fusion Model Combining Explicit and Implicit Feature Interactions [PDF]
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
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Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification
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
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Taxonomy-aware feature engineering for microbiome classification
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
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Malware Detection Based on API Sequence Feature Engineering and Feature Learning [PDF]
API 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
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Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis
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
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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
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Ontology Driven Feature Engineering for Opinion Mining
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui +3 more
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