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: neuralnet
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/neuralnet
Training of Neural Networks
8 versions
Latest release: almost 6 years ago
31 dependent packages
14,104 downloads last month
Papers Mentioning neuralnet 37
10.3390/ijms21062114
Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank DatasetCited by: 22
Author(s): Robert Ancuceanu, Marilena Viorica Hovaneț, Adriana Iuliana Anghel, Florentina Furtunescu, Monica Neagu, Carolina Constantin, Mihaela Dinu
Software Mentions: 24
Published: almost 5 years ago
10.1038/s41598-020-69361-9
Effects of different intracranial volume correction methods on univariate sex differences in grey matter volume and multivariate sex predictionCited by: 28
Author(s): Carles Sanchis‐Segura, M.V. Ibáñez-Gual, Naiara Aguirre, Álvaro Javier Cruz-Gómez, Cristina Forn
Software Mentions: 14
Published: over 4 years ago
10.1016/j.mbplus.2019.04.001
Pan-Cancer analysis of the expression and regulation of matrisome genes across 32 tumor typesCited by: 37
Author(s): Valerio Izzi, Juho Lakkala, Raman Devarajan, Anni Kääriäinen, Jarkko Koivunen, Ritva Heljasvaara, Taina Pihlajaniemi
Software Mentions: 13
Published: almost 6 years ago
10.3390/jcm7100322
Derivation and Validation of Machine Learning Approaches to Predict Acute Kidney Injury after Cardiac SurgeryCited by: 100
Author(s): Hyung Chul Lee, Hyun Kyu Yoon, Karam Nam, Youn Joung Cho, Tae Kyoung Kim, Won Ho Kim, Jae Hyon Bahk
Software Mentions: 12
Published: about 6 years ago
10.1038/s41598-021-85155-z
Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort studyCited by: 6
Author(s): Yujin Myung, Sungmi Jeon, Chan Yeong Heo, Eun‐Kyu Kim, Eunyoung Kang, Hee-Chul Shin, Eun Joo Yang, Jae Hoon Jeong
Software Mentions: 12
Published: almost 4 years ago
10.3390/metabo7020030
Evaluation of Classifier Performance for Multiclass Phenotype Discrimination in Untargeted MetabolomicsCited by: 33
Author(s): Patrick J. Trainor, Andrew P. DeFilippis, N. Shesh
Software Mentions: 12
Published: over 7 years ago
10.1038/s41598-018-33986-8
Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning AlgorithmsCited 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
10.1186/s12859-018-2105-6
Building protein-protein interaction networks for Leishmania species through protein structural informationCited by: 17
Author(s): Crhisllane Rafaele dos Santos Vasconcelos, Túlio de Lima Campos, Antônio Mauro Rezende
Software Mentions: 11
Published: almost 7 years ago
10.3390/diagnostics11081517
Prediction Model for Tumor Budding Status Using the Radiomic Features of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography in Cervical CancerCited by: 5
Author(s): Gun Oh Chong, Shin‐Hyung Park, Shin Young Jeong, Su Jeong Kim, Nora Jee-Young Park, Yoon Hee Lee, Sang‐Woo Lee, Dae Gy Hong, Ji Young Park, Hyung Soo Han
Software Mentions: 11
Published: over 3 years ago
10.1126/sciadv.abc3781
Extensive tissue-specific expression variation and novel regulators underlying circadian behaviorCited by: 21
Author(s): Maria Litovchenko, Antonio C. A. Meireles-Filho, Michael Frochaux, R. Bevers, Alessio Prunotto, Ane Martín Anduaga, Brian Hollis, Vincent Gardeux, Virginie Braman, Julie Russeil, Sebastián Kadener, Matteo Dal Peraro, Bart Deplancke
Software Mentions: 10
Published: almost 4 years ago
10.1371/journal.pone.0233242
Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modelingCited by: 4
Author(s): Élizabeth Parent, Léon‐Étienne Parent, Léon E. Parent
Software Mentions: 10
Published: over 3 years ago
10.1208/s12249-020-01660-w
Data-Driven Modeling of the Bicalutamide Dissolution from Powder SystemsCited by: 9
Author(s): Aleksander Mendyk, Adam Pacławski, Joanna Szafraniec-Szczęsny, Agata Antosik, Witold Jamróz, Marian Paluch, Renata Jachowicz
Software Mentions: 9
Published: over 4 years ago
10.18632/aging.202405
Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failureCited by: 25
Author(s): Yuqing Tian, Jiefu Yang, Ming Lan, Tong Zou
Software Mentions: 8
Published: almost 4 years ago
10.1371/journal.pone.0219889
Spring onion seed demand forecasting using a hybrid Holt-Winters and support vector machine modelCited by: 11
Author(s): Yihang Zhu, Yinglei Zhao, Zhang Jing-jin, Nan Geng, Danfeng Huang
Software Mentions: 8
Published: over 5 years ago
10.3389/fonc.2020.00071
Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI FindingsCited by: 24
Author(s): Seyedmehdi Payabvash, Mariam Aboian, Tarık Tıhan, Soonmee Cha
Software Mentions: 8
Published: almost 5 years ago
10.3390/cancers13184559
Machine Learning Incorporating Host Factors for Predicting Survival in Head and Neck Squamous Cell Carcinoma PatientsCited by: 5
Author(s): Han Yu, Sung Jun, Mark Farrugia, Austin J. Iovoli, Kimberly Wooten, Vishal Gupta, Ryan McSpadden, Moni Abraham Kuriakose, Michael R. Markiewicz, Justin Chan, Wesley L. Hicks, Mary E. Platek, Anurag Singh
Software Mentions: 7
Published: over 3 years ago
10.3389/fonc.2020.538133
Behavior-Oriented Nomogram for the Stratification of Lower-Grade Gliomas to Improve Individualized TreatmentCited by: 6
Author(s): Ruo-Lun Wei, Liwei Zhang, Jianguo Li, Fengdong Yang, Yue Xue, Xinting Wei
Software Mentions: 7
Published: about 4 years ago
10.3390/s19204496
Simultaneous Assessment of Urinary and Fecal Volatile Organic Compound Analysis in De Novo Pediatric IBDCited by: 9
Author(s): Sofia el Manouni el Hassani, Sofie Bosch, Jesse P. M. Lemmen, Marina Brizzio Brentar, Ibrahim Ayada, Alfian Wicaksono, James A. Covington, Marc A. Benninga, Nanne K. H. de Boer, Tim G. J. de Meij
Software Mentions: 6
Published: about 5 years ago
10.1186/s12920-018-0413-3
Genomic analyses based on pulmonary adenocarcinoma in situ reveal early lung cancer signatureCited by: 20
Author(s): Dan Li, William Yang, Yifan Zhang, Jack Yang, Renchu Guan, Dong Xu, Mary Qu Yang
Software Mentions: 6
Published: about 6 years ago
10.3390/healthcare9030317
Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification MethodsCited by: 5
Author(s): Manuel A. Soto-Murillo, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, José M. Celaya-Padilla, Huizilopoztli Luna-García, Rafael Magallanes‐Quintanar, Tania A. Gutiérrez-García, Hamurabi Gamboa-Rosales
Software Mentions: 6
Published: almost 4 years ago
10.1038/s41598-021-86735-9
Machine learning is the key to diagnose COVID-19: a proof-of-concept studyCited by: 17
Author(s): Cédric Gangloff, Sonia Rafi, Guillaume Bouzillé, Louis Soulat, Marc Cuggia
Software Mentions: 6
Published: over 3 years ago
10.3389/fimmu.2018.02120
Comprehensively Profiling the Chromatin Architecture of Tissue Restricted Antigen Expression in Thymic Epithelial Cells Over DevelopmentCited by: 18
Author(s): Adam E. Handel, Noriko Shikama-Dorn, Saule Zhanybekova, Stefano Maio, Annina N. Graedel, Saulius Žuklys, Chris P. Ponting, Georg A. Holländer
Software Mentions: 6
Published: over 6 years ago
10.7717/peerj.8286
Determining hypertensive patients’ beliefs towards medication and associations with medication adherence using machine learning methodsCited by: 14
Author(s): Firdaus Aziz, Sorayya Malek, Adliah Mhd Ali, M. Wong, Mogeeb A. A. Mosleh, Pozi Milow
Software Mentions: 5
Published: almost 5 years ago
10.1371/journal.pone.0172572
Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networksCited by: 8
Author(s): Henry Dewhurst, Matthew P. Torres
Software Mentions: 5
Published: almost 8 years ago
10.3390/molecules25214894
Study on Molecular Profiles of Staphylococcus aureus Strains: Spectrometric ApproachCited by: 8
Author(s): Michał Złoch, Paweł Pomastowski, Ewelina Maślak, Fernanda Monedeiro
Software Mentions: 5
Published: about 4 years ago
10.3390/cancers13092000
Lipidomics as a Diagnostic Tool for Prostate CancerCited by: 21
Author(s): Magdalena Buszewska-Forajta, Paweł Pomastowski, Fernanda Monedeiro, Justyna Walczak-Skierska, Marcin Markuszewski, Marcin Matuszewski, Michał J. Markuszewski
Software Mentions: 5
Published: over 3 years ago
10.3390/bios11070228
Building a Cardiovascular Disease Prediction Model for Smartwatch Users Using Machine Learning: Based on the Korea National Health and Nutrition Examination SurveyCited by: 13
Author(s): Minjeong Kim
Software Mentions: 5
Published: over 3 years ago
10.3389/fpls.2021.639253
A Machine Learning Approach to Prioritizing Functionally Active F-box Members in Arabidopsis thalianaCited by: 2
Author(s): Yang Li, Madhura M. Yapa, Zhihua Hua
Software Mentions: 4
Published: over 3 years ago
10.1371/journal.pone.0216178
Flux prediction using artificial neural network (ANN) for the upper part of glycolysisCited by: 14
Author(s): Anamya Ajjolli Nagaraja, Nicolas Fontaine, Mathieu Delsaut, Philippe Charton, Cédric Damour, Bernard Offmann, Brigitte Grondin-Pérez, Frédéric Cadet
Software Mentions: 4
Published: over 5 years ago
10.1371/journal.pone.0199818
Divide and conquer! Data-mining tools and sequential multivariate analysis to search for diagnostic morphological characters within a plant polyploid complex (Veronica subsect. Pentasepalae, Plantaginaceae)Cited by: 1
Author(s): Noemí López-González, Santiago Andrés‐Sánchez, Blanca M. Rojas‐Andrés, M. Montserrat Martínez‐Ortega
Software Mentions: 4
Published: over 6 years ago
10.1186/s13568-017-0491-1
Responses of zinc recovery to temperature and mineral composition during sphalerite bioleaching processCited by: 9
Author(s): Yunhua Xiao, Xueduan Liu, Jun Fang, Yili Liang, Xian Zhang, Delong Meng, Huaqun Yin
Software Mentions: 4
Published: about 7 years ago
10.3390/s20030625
Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial IntelligenceCited by: 18
Author(s): Elmer Ccopa Rivera, Jonathan Swerdlow, Rodney Lee Summerscales, Padma P. Tadi Uppala, Rubens Maciel Filho, Mabio R. Cohelo Neto, Hyu‐Sang Kwon
Software Mentions: 3
Published: almost 5 years ago
10.1371/journal.pone.0249243
Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in IndonesiaCited by: 0
Author(s): Bumi Herman, Wandee Sirichokchatchawan, Sathirakorn Pongpanich, Chanin Nantasenamat
Software Mentions: 3
Published: over 3 years ago
10.1186/s13040-015-0060-6
Supervised learning methods in modeling of CD4+ T cell heterogeneityCited by: 15
Author(s): Pinyi Lu, Vida Abedi, Yefeng Mei, Raquel Hontecillas, Stefan Hoops, Adria Carbo, Josep Bassaganya‐Riera
Software Mentions: 3
Published: over 9 years ago
10.1186/s13104-018-4013-2
A neural network analysis of Lifeways cross-generation imputed dataCited by: 0
Author(s): Gabrielle Kelly
Software Mentions: 3
Published: about 6 years ago
10.3389/fpsyg.2020.01869
A PLS-Neural Network Analysis of Motivational Orientations Leading to Facebook Engagement and the Moderating Roles of Flow and AgeCited by: 8
Author(s): Inma Rodríguez‐Ardura
Software Mentions: 3
Published: over 4 years ago
10.1186/1471-2156-10-87
Neural networks for modeling gene-gene interactions in association studiesCited by: 24
Author(s): Frauke Günther, Nina Wawro, Karin Bammann
Software Mentions: 2
Published: about 15 years ago