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Refinado por: Nome da Publicação: Expert Systems With Applications remover
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Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors
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Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors

Lucas Daniel Chiba de Castro Leonardo Felipe dos Santos Scabini; Lucas Correia Ribas; Odemir Martinez Bruno; Osvaldo Novais de Oliveira Junior

Expert Systems with Applications Oxford v. 212, p.118792-1-118792-7, Feb. 2023

Oxford 2023

Localização: IFSC - Inst. Física de São Carlos    (PROD033434 )(Acessar)

2
An embedded imputation method via Attribute-based Decision Graphs
An embedded imputation method via Attribute-based Decision Graphs
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An embedded imputation method via Attribute-based Decision Graphs

João Roberto Bertini Junior Maria do Carmo Nicoletti; Liang Zhao

Expert Systems with Applications Kidlington v. 57, p. 159-177, 2016

Kidlington 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2781971 Estantes Deslizantes )(Acessar)

3
The use of machine learning algorithms in recommender systems: A systematic review
The use of machine learning algorithms in recommender systems: A systematic review
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The use of machine learning algorithms in recommender systems: A systematic review

Portugal, Ivens ; Alencar, Paulo ; Cowan, Donald

Expert systems with applications, 2018-05, Vol.97, p.205-227 [Periódico revisado por pares]

New York: Elsevier Ltd

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4
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey
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Analysis of Extreme Learning Machines (ELMs) for intelligent intrusion detection systems: A survey

Abu Al-Haija, Qasem ; Altamimi, Shahad ; AlWadi, Mazen

Expert systems with applications, 2024-11, Vol.253, Article 124317 [Periódico revisado por pares]

Elsevier Ltd

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5
Integration of unsupervised and supervised machine learning algorithms for credit risk assessment
Integration of unsupervised and supervised machine learning algorithms for credit risk assessment
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Integration of unsupervised and supervised machine learning algorithms for credit risk assessment

Bao, Wang ; Lianju, Ning ; Yue, Kong

Expert systems with applications, 2019-08, Vol.128, p.301-315 [Periódico revisado por pares]

New York: Elsevier Ltd

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6
Adaptive boosting with fairness-aware reweighting technique for fair classification
Adaptive boosting with fairness-aware reweighting technique for fair classification
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Adaptive boosting with fairness-aware reweighting technique for fair classification

Song, Xiaobin ; Liu, Zeyuan ; Jiang, Benben

Expert systems with applications, 2024-09, Vol.250, Article 123916 [Periódico revisado por pares]

Elsevier Ltd

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7
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
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Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques

Liu, Diyi ; Lim, Hyeonsup ; Uddin, Majbah ; Liu, Yuandong ; Han, Lee D. ; Hwang, Ho-ling ; Chin, Shih-Miao

Expert systems with applications, 2023-11, Vol.240 (1) [Periódico revisado por pares]

United States: Elsevier

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8
An explainable AI decision-support-system to automate loan underwriting
An explainable AI decision-support-system to automate loan underwriting
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An explainable AI decision-support-system to automate loan underwriting

Sachan, Swati ; Yang, Jian-Bo ; Xu, Dong-Ling ; Benavides, David Eraso ; Li, Yang

Expert systems with applications, 2020-04, Vol.144, p.113100, Article 113100 [Periódico revisado por pares]

New York: Elsevier Ltd

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9
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision
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Machine learning in the quantum realm: The state-of-the-art, challenges, and future vision

Houssein, Essam H. ; Abohashima, Zainab ; Elhoseny, Mohamed ; Mohamed, Waleed M.

Expert systems with applications, 2022-05, Vol.194, p.116512, Article 116512 [Periódico revisado por pares]

New York: Elsevier Ltd

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10
Behind the cues: A benchmarking study for fake news detection
Behind the cues: A benchmarking study for fake news detection
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Behind the cues: A benchmarking study for fake news detection

Gravanis, Georgios ; Vakali, Athena ; Diamantaras, Konstantinos ; Karadais, Panagiotis

Expert systems with applications, 2019-08, Vol.128, p.201-213 [Periódico revisado por pares]

New York: Elsevier Ltd

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