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Thao-Trang Huynh-Cam, Venkateswarlu Nalluri, Long-Sheng Chen and Yi-Yi Yang
Traditional data-driven feature selection techniques for extracting important attributes are often based on the assumption of maximizing the overall classification accuracy. However, the selected attributes are not always meaningful for practical problem...
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Gabriela Azócar de la Cruz, Gabriela Alfaro, Claudia Alonso, Rubén Calvo and Paz Orellana
Wildland fires are a phenomenon of broad interest due to their relationship with climate change. The impacts of climate change are related to a greater frequency and intensity of wildland fires. In this context, megafires have become a phenomenon of part...
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Sanja Vlaovic Begovic,Ljiljana Bonic
Pág. 127 - 139
Decision trees made by visualizing the decision-making process solve a problem that requires more successive decisions to be made. They are also used for classification and to solve problems usually addressed by regression analysis. One of the problems o...
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Miriam Andrejiová, Miriama Pinosová, Ru?ena Králiková, Bystrík Dolník, Pavol Liptai and Erika Dolníková
During the process of designing and implementing a working environment, there is a need to guarantee adequate conditions for future workers? health and well-being. This article addresses the classification of employees characterized by several basic inpu...
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Jingyun Gui, Ignacio Pérez-Rey, Miao Yao, Fasuo Zhao and Wei Chen
Spatial landslide susceptibility assessment is a fundamental part of landslide risk management and land-use planning. The main objective of this study is to apply the Credal Decision Tree (CDT), adaptive boosting Credal Decision Tree (AdaCDT), and random...
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Ch. Ravi Sekhar, Minal, E. Madhu
Pág. 644 - 652
Mode choice analysis forms an integral part of transportation planning process as it gives a complete insight to the mode choice preferences of the commuters and is also used as an instrument for evaluation of introduction of new transport systems. Mode ...
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Andrei Konstantinov, Lev Utkin and Vladimir Muliukha
A new random forest-based model for solving the Multiple Instance Learning problem under small tabular data, called the Soft Tree Ensemble Multiple Instance Learning, is proposed. A new type of soft decision trees is considered, which is similar to the w...
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Thanapong Champahom, Panuwat Wisutwattanasak, Chamroeun Se, Chinnakrit Banyong, Sajjakaj Jomnonkwao and Vatanavongs Ratanavaraha
Among several approaches to analyzing crash research, the use of machine learning and econometric analysis has found potential in the analysis. This study aims to empirically examine factors influencing the single-vehicle crash for personal cars and truc...
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Ali Mirzazade, Cosmin Popescu and Björn Täljsten
The aim of this study was to find strains in embedded reinforcement by monitoring surface deformations. Compared with analytical methods, application of the machine learning regression technique imparts a noteworthy reduction in modeling complexity cause...
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Jeongeun Won, Jiyu Seo, Jeonghoon Lee, Jeonghyeon Choi, Yoonkyung Park, Okjeong Lee and Sangdan Kim
River runoff predictions in ungauged basins are one of the major challenges in hydrology. In the past, the approach using a physical-based conceptual model was the main approach, but recently, a solution using a data-driven model has been evaluated as mo...
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Heba Aly Elzeheiry, Sherief Barakat and Amira Rezk
In recent years, medical data have vastly increased due to the continuous generation of digital data. The different forms of medical data, such as reports, textual, numerical, monitoring, and laboratory data generate the so-called medical big data. This ...
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Thao-Trang Huynh-Cam, Long-Sheng Chen and Huynh Le
First-year students? learning performance has received much attention in educational practice and theory. Previous works used some variables, which should be obtained during the course or in the progress of the semester through questionnaire surveys and ...
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Nikolaos Mellios, S. Jannicke Moe and Chrysi Laspidou
Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail under different and often compli...
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Somayeh Labafi, Sanee Ebrahimzadeh, Mohamad Mahdi Kavousi, Habib Abdolhossein Maregani and Samad Sepasgozar
Evidence-based policy seeks to use evidence in public policy in a systematic way in a bid to improve decision-making quality. Evidence-based policy cannot work properly and achieve the expected results without accurate, appropriate, and sufficient eviden...
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Mochammad Agus Afrianto,Meditya Wasesa
Pág. 123 - 132
Background: Literature in the peer-to-peer accommodation has put a substantial focus on accommodation listings' price determinants. Developing prediction models related to the demand for accommodation listings is vital in revenue management because accur...
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Nina Kuchuk, Roman Artiukh, Artem Nechausov
Pág. 62 - 69
The subject matter of the article is semantic networks of distributed search in e-learning. The goal is to synthesize a decision tree and a stratified semantic network that allows network intelligent agents in the e-learning to construct inference mechan...
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Hamza Salahudin, Muhammad Shoaib, Raffaele Albano, Muhammad Azhar Inam Baig, Muhammad Hammad, Ali Raza, Alamgir Akhtar and Muhammad Usman Ali
To maximize crop production, reference evapotranspiration (ET0) measurement is crucial for managing water resources and planning crop water needs. The FAO-PM56 method is recommended globally for estimating ET0 and evaluating alternative methods due to it...
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Chintan M. Bhatt, Parth Patel, Tarang Ghetia and Pier Luigi Mazzeo
The diagnosis and prognosis of cardiovascular disease are crucial medical tasks to ensure correct classification, which helps cardiologists provide proper treatment to the patient. Machine learning applications in the medical niche have increased as they...
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Yufeng Wang, Shuangrong Liu, Songqian Li, Jidong Duan, Zhihao Hou, Jia Yu and Kun Ma
Social network services for self-media, such as Weibo, Blog, and WeChat Public, constitute a powerful medium that allows users to publish posts every day. Due to insufficient information transparency, malicious marketing of the Internet from self-media p...
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Ruifeng Luo, Yifan Wang, Weifang Xiao and Xianzhong Zhao
Truss layout optimization under complex constraints has been a hot and challenging problem for decades that aims to find the optimal node locations, connection topology between nodes, and cross-sectional areas of connecting bars. Monte Carlo Tree Search ...
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