Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: adabag

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/adabag

Applies Multiclass AdaBoost.M1, SAMME and Bagging
12 versions
Latest release: over 1 year ago
10 dependent packages
4,641 downloads last month

Papers Mentioning adabag 16

Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms
Cited by: 24
Author(s): Shayan Mostafaei, Anoshirvan Kazemnejad, Sadegh Azimzadeh Jamalkandi, Soroush Amirhashchi, Seamas C. Donnelly, Michelle E. Armstrong, Mohammad Doroudian
Software Mentions: 11
Published: about 6 years ago

10.3390/jcm8091298

Comparison of Machine Learning Techniques for Prediction of Hospitalization in Heart Failure Patients
Cited by: 32
Author(s): Giulia Lorenzoni, Stefano Santo Sabato, Corrado Lanera, Daniele Bottigliengo, Clara Minto, Honoria Ocagli, Paola De Paolis, Darío Gregori, Sabino Iliceto, Franco Pisanò
Software Mentions: 10
Published: about 5 years ago

10.1186/s13742-015-0065-6

An image database of Drosophila melanogaster wings for phenomic and biometric analysis
Cited by: 26
Author(s): Anne Sonnenschein, David VanderZee, William Pitchers, Sudarshan Chari, Ian Dworkin
Software Mentions: 9
Published: over 9 years ago

10.1186/s13007-021-00744-3

PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
Cited by: 4
Author(s): Prabina Kumar Meher, Ansuman Mohapatra, Subhrajit Satpathy, Anuj Sharma, Isha Saini, Sukanta Kumar Pradhan, Anil Rai
Software Mentions: 8
Published: over 3 years ago

10.3390/electronics9010099

Weighted Random Forests to Improve Arrhythmia Classification
Cited by: 21
Author(s): Krzysztof Gajowniczek, Iga Grzegorczyk, Tomasz Ząbkowski, Chandrajit L. Bajaj
Software Mentions: 7
Published: almost 5 years ago

10.1371/journal.pone.0245437

Identifying intentional injuries among children and adolescents based on Machine Learning
Cited by: 1
Author(s): Xiling Yin, Dan Ma, Kejing Zhu, Deyun Li
Software Mentions: 7
Published: almost 4 years ago

10.3390/healthcare9030268

Measuring the Response Performance of U.S. States against COVID-19 Using an Integrated DEA, CART, and Logistic Regression Approach
Cited by: 11
Author(s): Yawei Xu, Yong Shin Park, Ju Dong Park
Software Mentions: 7
Published: over 3 years ago

10.3389/fneur.2021.580440

Machine Learning Models on ADC Features to Assess Brain Changes of Children With Pierre Robin Sequence
Cited by: 0
Author(s): Ying Wang, Feng Yang, Meijiao Zhu, Ming Yang
Software Mentions: 7
Published: over 3 years ago

10.1186/s12859-021-04264-8

mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net
Cited by: 6
Author(s): Prabina Kumar Meher, Anil Rai, Atmakuri Ramakrishna Rao
Software Mentions: 6
Published: over 3 years ago

10.1186/s12938-017-0416-x

Empirical study of seven data mining algorithms on different characteristics of datasets for biomedical classification applications
Cited by: 37
Author(s): Yiyan Zhang, Yi Xin, Li Qin, Jianshe Ma, Shuai Li, Xiaodan Lv, Weiqi Lv
Software Mentions: 6
Published: about 7 years ago

10.1186/s12931-021-01837-2

Prediction of lung emphysema in COPD by spirometry and clinical symptoms: results from COSYCONET
Cited by: 4
Author(s): Christina Kellerer, Rudolf A. Jörres, Antonius Schneider, Peter Alter, Hans‐Ulrich Kauczor, Bertram Jobst, Jürgen Biederer, Robert Bals, Henrik Watz, Jürgen Behr, Diego Kauffmann-Guerrero, Johanna I. Lutter, Alexander Hapfelmeier, H Magnussen, Franziska Trudzinski, Tobias Welte, Claus Vogelmeier, Kathrin Kahnert
Software Mentions: 4
Published: about 3 years ago

10.1038/s41598-020-67604-3

The major effects of health-related quality of life on 5-year survival prediction among lung cancer survivors: applications of machine learning
Cited by: 21
Author(s): Jin Ah Sim, Young Ae Kim, Ju Han Kim, Jong Mog Lee, Moon Soo Kim, Young Mog Shim, Jae Ill Zo, Young Ho Yun
Software Mentions: 3
Published: over 4 years ago

10.2196/24305

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study
Cited by: 9
Author(s): Yu Lin, Ray Jade Chen, Jui Hsiang Tang, Cheng Yu, Jenny L Wu, Li Chuan Chen, Shy Shin Chang
Software Mentions: 3
Published: about 4 years ago

10.1155/2018/7207151

Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017
Cited by: 20
Author(s): Yukai Li, Huling Li, Hua Yao
Software Mentions: 2
Published: over 6 years ago

10.1371/journal.pone.0142069

Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost
Cited by: 35
Author(s): Zhen Zhou, Jingfeng Huang, Jing Wang, Kangyu Zhang, Zhaomin Kuang, Shiquan Zhong, Xiaodong Song
Software Mentions: 1
Published: about 9 years ago

10.1371/journal.pone.0178757

Prediction of in-hospital mortality after pancreatic resection in pancreatic cancer patients: A boosting approach via a population-based study using health administrative data
Cited by: 17
Author(s): Jose F. Velez-Serrano, Daniel Vélez-Serrano, Valentín Hernández‐Barrera, Rodrigo Jiménez‐García, Ana López‐de‐Andrés, Pilar Carrasco Garrido, Alejandro Álvaro-Meca
Software Mentions: 1
Published: over 7 years ago