Results 21 to 30 of about 524,719 (351)
Feature Engineering in Persian Dependency Parser [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar.
S. Lazemi, H. Ebrahimpour-komleh
doaj +1 more source
VEST: automatic feature engineering for forecasting [PDF]
Machine Learning, 2021 25 pages, R code ...
Vítor Cerqueira +2 more
openaire +2 more sources
Feature interaction: a critical review and considered forecast [PDF]
, 2003 The state of the art of the field of feature interactions in telecommunications services is reviewed, concentrating on three major research trends: software engineering approaches, formal methods, and on line techniques.
Magill, Evan +17 more
core +1 more source
Military Medical Research, 2023 Modern medicine is reliant on various medical imaging technologies for non-invasively observing patients’ anatomy. However, the interpretation of medical images can be highly subjective and dependent on the expertise of clinicians.
Yuanpeng Zhang +13 more
semanticscholar +1 more source
Computers and Education: Artificial Intelligence, 2022 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
doaj +1 more source
Effective Feature Engineering Technique for Heart Disease Prediction With Machine Learning
IEEE Access, 2023 Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning-based technique is needed to predict heart failure health status early and take necessary actions to overcome this worldwide issue.
Azam Mehmood Qadri +3 more
semanticscholar +1 more source
Kurdistan Journal of Applied Research, 2020 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
doaj +1 more source
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
Italian National Conference on Sensors, 2023 Distributed denial-of-service (DDoS) attacks pose a significant cybersecurity threat to software-defined networks (SDNs). This paper proposes a feature-engineering- and machine-learning-based approach to detect DDoS attacks in SDNs.
Zhenpeng Liu +5 more
semanticscholar +1 more source
Automated data processing and feature engineering for deep learning and big data applications: a survey [PDF]
Journal of Information and IntelligenceModern approach to artificial intelligence (AI) aims to design algorithms that learn directly from data. This approach has achieved impressive results and has contributed significantly to the progress of AI, particularly in the sphere of supervised deep ...
A. Mumuni, F. Mumuni
semanticscholar +1 more source