Works about RANDOM forest algorithms

Results: 5000

Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data.

Published in:

2020

By:

Chen, Qi;
Zhang-James, Yanli;
Barnett, Eric J.;
Lichtenstein, Paul;
Jokinen, Jussi;
D'Onofrio, Brian M.;
Faraone, Stephen V.;
Larsson, Henrik;
Fazel, Seena

Publication type:

journal article

Is Infidelity Predictable? Using Explainable Machine Learning to Identify the Most Important Predictors of Infidelity.

Published in:

Journal of Sex Research, 2022, v. 59, n. 2, p. 224, doi. 10.1080/00224499.2021.1967846

By:

Vowels, Laura M.;
Vowels, Matthew J.;
Mark, Kristen P.

Publication type:

Article

Application of the random forest algorithm to predict the corrosion losses of carbon steel over the first year of exposure in various regions of the world.

Published in:

Corrosion Engineering, Science & Technology, 2023, v. 58, n. 3, p. 205, doi. 10.1080/1478422X.2022.2161336

By:

Gavryushina, Marina;
Marshakov, Andrey;
Panchenko, Yuliya

Publication type:

Article

A hybrid CNN with transfer learning for skin cancer disease detection.

Published in:

Medical & Biological Engineering & Computing, 2024, v. 62, n. 10, p. 3057, doi. 10.1007/s11517-024-03115-x

By:

Shukla, Man Mohan;
Tripathi, B. K.;
Dwivedi, Tanay;
Tripathi, Ashish;
Chaurasia, Brijesh Kumar

Publication type:

Article

Uncertain prediction of deformable image registration on lung CT using multi-category features and supervised learning.

Published in:

Medical & Biological Engineering & Computing, 2024, v. 62, n. 9, p. 2669, doi. 10.1007/s11517-024-03092-1

By:

Zhou, Zhiyong;
Yin, Pengfei;
Liu, Yuhang;
Hu, Jisu;
Qian, Xusheng;
Chen, Guangqiang;
Hu, Chunhong;
Dai, Yakang

Publication type:

Article

Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates.

Published in:

Medical & Biological Engineering & Computing, 2024, v. 62, n. 8, p. 2557, doi. 10.1007/s11517-024-03099-8

By:

Tanwar, Nakul;
Hasija, Yasha

Publication type:

Article

Imagined speech classification exploiting EEG power spectrum features.

Published in:

Medical & Biological Engineering & Computing, 2024, v. 62, n. 8, p. 2529, doi. 10.1007/s11517-024-03083-2

By:

Hossain, Arman;
Khan, Protima;
Kader, Md. Fazlul

Publication type:

Article

Evaluating sleep-stage classification: how age and early-late sleep affects classification performance.

Published in:

Medical & Biological Engineering & Computing, 2024, v. 62, n. 2, p. 343, doi. 10.1007/s11517-023-02943-7

By:

Moris, Eugenia;
Larrabide, Ignacio

Publication type:

Article

Ensemble classifier fostered detection of arrhythmia using ECG data.

Published in:

Medical & Biological Engineering & Computing, 2023, v. 61, n. 9, p. 2453, doi. 10.1007/s11517-023-02839-6

By:

Ramkumar, M.;
Alagarsamy, Manjunathan;
Balakumar, A.;
Pradeep, S.

Publication type:

Article

Characterization of noise in long-term ECG monitoring with machine learning based on clinical criteria.

Published in:

Medical & Biological Engineering & Computing, 2023, v. 61, n. 9, p. 2227, doi. 10.1007/s11517-023-02802-5

By:

Holgado-Cuadrado, Roberto;
Plaza-Seco, Carmen;
Lovisolo, Lisandro;
Blanco-Velasco, Manuel

Publication type:

Article

Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU.

Published in:

Medical & Biological Engineering & Computing, 2023, v. 61, n. 8, p. 2013, doi. 10.1007/s11517-023-02857-4

By:

Wang, Linlin;
Li, Mingai;
Zhang, Liyuan

Publication type:

Article

CML-Cardio: a cascade machine learning model to predict cardiovascular disease risk as a primary prevention strategy.

Published in:

Medical & Biological Engineering & Computing, 2023, v. 61, n. 6, p. 1409, doi. 10.1007/s11517-022-02757-z

By:

Oliveira, Bruno Alberto Soares;
Castro, Giulia Zanon;
Ferreira, Giovanna Luiza Medina;
Guimarães, Frederico Gadelha

Publication type:

Article

Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques.

Published in:

Medical & Biological Engineering & Computing, 2022, v. 60, n. 3, p. 683, doi. 10.1007/s11517-021-02466-z

By:

Mokri, Chiako;
Bamdad, Mahdi;
Abolghasemi, Vahid

Publication type:

Article

Identifying risk factors of intracerebral hemorrhage stability using explainable attention model.

Published in:

Medical & Biological Engineering & Computing, 2022, v. 60, n. 2, p. 337, doi. 10.1007/s11517-021-02459-y

By:

Rangaraj, Seshasayi;
Islam, Mobarakol;
VS, Vibashan;
Wijethilake, Navodini;
Uppal, Utkarsh;
See, Angela An Qi;
Chan, Jasmine;
James, Michael Lucas;
King, Nicolas Kon Kam;
Ren, Hongliang

Publication type:

Article

Iterative principal component analysis method for improvised classification of breast cancer disease using blood sample analysis.

Published in:

Medical & Biological Engineering & Computing, 2021, v. 59, n. 10, p. 1973, doi. 10.1007/s11517-021-02405-y

By:

R, Geetharamani;
G, Sivagami

Publication type:

Article

An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Published in:

2021

By:

Aswathy, M. A.;
Jagannath, M.

Publication type:

journal article

Evaluation of train and test performance of machine learning algorithms and Parkinson diagnosis with statistical measurements.

Published in:

Medical & Biological Engineering & Computing, 2020, v. 58, n. 11, p. 2775, doi. 10.1007/s11517-020-02260-3

By:

Avuçlu, Emre;
Elen, Abdullah

Publication type:

Article

Classification of error-related potentials from single-trial EEG in association with executed and imagined movements: a feature and classifier investigation.

Published in:

Medical & Biological Engineering & Computing, 2020, v. 58, n. 11, p. 2699, doi. 10.1007/s11517-020-02253-2

By:

Usama, Nayab;
Kunz Leerskov, Kasper;
Niazi, Imran Khan;
Dremstrup, Kim;
Jochumsen, Mads

Publication type:

Article

A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.

Published in:

2020

By:

Hajipour, Farahnaz;
Jozani, Mohammad Jafari;
Moussavi, Zahra

Publication type:

journal article

Use of a K-nearest neighbors model to predict the development of type 2 diabetes within 2 years in an obese, hypertensive population.

Published in:

2020

By:

Garcia-Carretero, Rafael;
Vigil-Medina, Luis;
Mora-Jimenez, Inmaculada;
Soguero-Ruiz, Cristina;
Barquero-Perez, Oscar;
Ramos-Lopez, Javier

Publication type:

journal article

Ensemble learning algorithm based on multi-parameters for sleep staging.

Published in:

2019

By:

Wang, Qiangqiang;
Zhao, Dechun;
Wang, Yi;
Hou, Xiaorong

Publication type:

journal article

Automated detection of vulnerable plaque in intravascular ultrasound images.

Published in:

2019

By:

Jun, Tae Joon;
Kang, Soo-Jin;
Lee, June-Goo;
Kweon, Jihoon;
Na, Wonjun;
Kang, Daeyoun;
Kim, Dohyeun;
Kim, Daeyoung;
Kim, Young-Hak

Publication type:

journal article

Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain.

Published in:

2017

By:

Silveira, Thiago;
Kozakevicius, Alice;
Rodrigues, Cesar;
da Silveira, Thiago L T;
Kozakevicius, Alice J;
Rodrigues, Cesar R

Publication type:

journal article

Mental Health Monitoring and Detection Based on Machine Learning and IoT Data.

Published in:

International Journal of Information Technology & Decision Making, 2024, v. 23, n. 4, p. 1449, doi. 10.1142/S0219622022500973

By:

Mohsen, Belal;
Al-Khaleel, Osama;
Alfadhly, Abdullah

Publication type:

Article

An Ensemble Model for Stance Detection in Social Media Texts.

Published in:

International Journal of Information Technology & Decision Making, 2023, v. 22, n. 2, p. 737, doi. 10.1142/S0219622022500481

By:

Sherif, Sara S.;
Shawky, Doaa M.;
Fayed, Hatem A.

Publication type:

Article

A Deep Learning-Based Decision Support System for Mobile Performance Marketing.

Published in:

International Journal of Information Technology & Decision Making, 2023, v. 22, n. 2, p. 679, doi. 10.1142/S021962202250047X

By:

Matos, Luís Miguel;
Cortez, Paulo;
Mendes, Rui;
Moreau, Antoine

Publication type:

Article

A Hybrid Data-Driven Approach for Forecasting the Characteristics of Production Disruptions and Interruptions.

Published in:

International Journal of Information Technology & Decision Making, 2022, v. 21, n. 4, p. 1127, doi. 10.1142/S0219622022500171

By:

Bazargan-Lari, Mohammad Reza;
Taghipour, Sharareh

Publication type:

Article

A New Adaptive Weighted Deep Forest and Its Modifications.

Published in:

International Journal of Information Technology & Decision Making, 2020, v. 19, n. 04, p. 963, doi. 10.1142/S0219622020500236

By:

Utkin, Lev V.;
Konstantinov, Andrei V.;
Chukanov, Viacheslav S.;
Meldo, Anna A.

Publication type:

Article

Rule Extraction from Decision Trees Ensembles: New Algorithms Based on Heuristic Search and Sparse Group Lasso Methods.

Published in:

International Journal of Information Technology & Decision Making, 2017, v. 16, n. 6, p. 1707, doi. 10.1142/S0219622017500055

By:

Mashayekhi, Morteza;
Gras, Robin

Publication type:

Article

Machine Learning Assisted Analysis, Prediction, and Fabrication of High‐Efficiency CZTSSe Thin Film Solar Cells.

Published in:

Advanced Functional Materials, 2023, v. 33, n. 41, p. 1, doi. 10.1002/adfm.202303459

By:

Karade, Vijay C.;
Sutar, Santosh S.;
Shin, Seung Wook;
Suryawanshi, Mahesh P.;
Jang, Jun Sung;
Gour, Kuldeep Singh;
Kamat, Rajanish K.;
Yun, Jae Ho;
Dongale, Tukaram D.;
Kim, Jin Hyeok

Publication type:

Article

Machine Learning: Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells (Adv. Funct. Mater. 23/2021).

Published in:

Advanced Functional Materials, 2021, v. 31, n. 23, p. 1, doi. 10.1002/adfm.202170168

By:

Kranthiraja, Kakaraparthi;
Saeki, Akinori

Publication type:

Article

Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells.

Published in:

Advanced Functional Materials, 2021, v. 31, n. 23, p. 1, doi. 10.1002/adfm.202011168

By:

Kranthiraja, Kakaraparthi;
Saeki, Akinori

Publication type:

Article

Environmental and anthropogenic determinants of the spread of alien plant species: insights from South Africa’s quaternary catchments.

Published in:

Plant Ecology, 2018, v. 219, n. 3, p. 277, doi. 10.1007/s11258-018-0795-5

By:

Terzano, Dilva;
Kotzé, Ian;
Marais, Christo;
Cianciullo, Silvio;
Farcomeni, Alessio;
Caroli, Paolo;
Malatesta, Luca;
Attorre, Fabio

Publication type:

Article

Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.).

Published in:

Plant Cell, Tissue & Organ Culture, 2022, v. 150, n. 1, p. 141, doi. 10.1007/s11240-022-02255-y

By:

Kirtis, Arife;
Aasim, Muhammad;
Katırcı, Ramazan

Publication type:

Article

On PAC-Bayesian bounds for random forests.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1503, doi. 10.1007/s10994-019-05803-4

By:

Lorenzen, Stephan S.;
Igel, Christian;
Seldin, Yevgeny

Publication type:

Article

Efficient Venn predictors using random forests.

Published in:

Machine Learning, 2019, v. 108, n. 3, p. 535, doi. 10.1007/s10994-018-5753-x

By:

Johansson, Ulf;
Löfström, Tuve;
Linusson, Henrik;
Boström, Henrik

Publication type:

Article

Ensembles for multi-target regression with random output selections.

Published in:

Machine Learning, 2018, v. 107, n. 11, p. 1673, doi. 10.1007/s10994-018-5744-y

By:

Breskvar, Martin;
Kocev, Dragi;
Džeroski, Sašo

Publication type:

Article

Adaptive random forests for evolving data stream classification.

Published in:

Machine Learning, 2017, v. 106, n. 9-10, p. 1469, doi. 10.1007/s10994-017-5642-8

By:

Gomes, Heitor;
Bifet, Albert;
Read, Jesse;
Barddal, Jean;
Enembreck, Fabrício;
Pfharinger, Bernhard;
Holmes, Geoff;
Abdessalem, Talel

Publication type:

Article

Learning to identify relevant studies for systematic reviews using random forest and external information.

Published in:

Machine Learning, 2016, v. 102, n. 3, p. 465, doi. 10.1007/s10994-015-5535-7

By:

Khabsa, Madian;
Elmagarmid, Ahmed;
Ilyas, Ihab;
Hammady, Hossam;
Ouzzani, Mourad

Publication type:

Article

Two-level quantile regression forests for bias correction in range prediction.

Published in:

Machine Learning, 2015, v. 101, n. 1-3, p. 325, doi. 10.1007/s10994-014-5452-1

By:

Nguyen, Thuy;
Nguyen, Thanh-Tung;
Huang, Joshua

Publication type:

Article

The effect of splitting on random forests.

Published in:

Machine Learning, 2015, v. 99, n. 1, p. 75, doi. 10.1007/s10994-014-5451-2

By:

Ishwaran, Hemant

Publication type:

Article

Regression conformal prediction with random forests.

Published in:

Machine Learning, 2014, v. 97, n. 1-2, p. 155, doi. 10.1007/s10994-014-5453-0

By:

Johansson, Ulf;
Boström, Henrik;
Löfström, Tuve;
Linusson, Henrik

Publication type:

Article

Unsupervised feature selection with ensemble learning.

Published in:

Machine Learning, 2015, v. 98, n. 1-2, p. 157, doi. 10.1007/s10994-013-5337-8

By:

Elghazel, Haytham;
Aussem, Alex

Publication type:

Article

Smart process mapping of powder bed fusion additively manufactured metallic wicks using surrogate modeling.

Published in:

Journal of Intelligent Manufacturing, 2025, v. 36, n. 3, p. 1819, doi. 10.1007/s10845-024-02330-5

By:

Borumand, Mohammad;
Nannapaneni, Saideep;
Madiraddy, Gurucharan;
Sealy, Michael P.;
Esfandiarpour Borujeni, Sima;
Hwang, Gisuk

Publication type:

Article

Predicting the number of printed cells during inkjet-based bioprinting process based on droplet velocity profile using machine learning approaches.

Published in:

Journal of Intelligent Manufacturing, 2024, v. 35, n. 5, p. 2349, doi. 10.1007/s10845-023-02167-4

By:

Huang, Xi;
Ng, Wei Long;
Yeong, Wai Yee

Publication type:

Article

Robust modeling method for thermal error of CNC machine tools based on random forest algorithm.

Published in:

Journal of Intelligent Manufacturing, 2023, v. 34, n. 4, p. 2013, doi. 10.1007/s10845-021-01894-w

By:

Zhu, Mengrui;
Yang, Yun;
Feng, Xiaobing;
Du, Zhengchun;
Yang, Jianguo

Publication type:

Article

Evaluation of multi-target deep neural network models for compound potency prediction under increasingly challenging test conditions.

Published in:

Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 3, p. 285, doi. 10.1007/s10822-021-00376-8

By:

Rodríguez-Pérez, Raquel;
Bajorath, Jürgen

Publication type:

Article

IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations.

Published in:

Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 3, p. 315, doi. 10.1007/s10822-020-00368-0

By:

Hasan, Md Mehedi;
Alam, Md Ashad;
Shoombuatong, Watshara;
Kurata, Hiroyuki

Publication type:

Article

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations.

Published in:

Journal of Computer-Aided Molecular Design, 2020, v. 34, n. 12, p. 1229, doi. 10.1007/s10822-020-00343-9

By:

Khatun, Mst. Shamima;
Hasan, Md. Mehedi;
Shoombuatong, Watshara;
Kurata, Hiroyuki

Publication type:

Article

Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins.

Published in:

Journal of Computer-Aided Molecular Design, 2017, v. 31, n. 5, p. 453, doi. 10.1007/s10822-017-0020-y

By:

Basu, Sankar;
Wallner, Björn;
Söderquist, Fredrik

Publication type:

Article