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: RSNNS
https://packages.ecosyste.ms/registries/cran.r-project.org/packages/RSNNS
Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)
19 versions
Latest release: over 1 year ago
12 dependent packages
2,884 downloads last month
Papers Mentioning RSNNS 28
10.3390/plants10020247
Machine Learning Applications and Optimization of Clustering Methods Improve the Selection of Descriptors in Blackberry Germplasm BanksCited by: 5
Author(s): Juan Camilo Henao-Rojas, María Gladis Rosero-Alpala, Carolina Ortiz-Muñoz, Carlos Enrique Velásquez-Arroyo, William A. León-Rueda, Joaquín Guillermo Ramírez‐Gil
Software Mentions: 19
Published: almost 4 years ago
10.1371/journal.pone.0135784
Comparison of Nine Statistical Model Based Warfarin Pharmacogenetic Dosing Algorithms Using the Racially Diverse International Warfarin Pharmacogenetic Consortium Cohort DatabaseCited by: 38
Author(s): Rong Liu, Xi Li, Wei Zhang, Hong‐Hao Zhou
Software Mentions: 13
Published: about 9 years ago
10.1371/journal.pone.0159046
Accuracy and Calibration of Computational Approaches for Inpatient Mortality Predictive ModelingCited by: 13
Author(s): Christos T. Nakas, Narayan Schütz, Marcus Werners, Alexander Benedikt Leichtle
Software Mentions: 13
Published: over 8 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: over 3 years ago
10.1038/srep42192
Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant RecipientsCited by: 86
Author(s): Jie Tang, Rong Liu, Yueli Zhang, Mou-Ze Liu, HU Yong-fang, Minghai Shao, Lan Zhu, Hua‐Wen Xin, Feng Gao, Wenjun Shang, Xiang‐Gao Meng, Lirong Zhang, Yingzi Ming, Wei Zhang
Software Mentions: 11
Published: almost 8 years ago
10.1016/j.scitotenv.2018.08.122
Prediction of bioconcentration factors in fish and invertebrates using machine learningCited by: 56
Author(s): Thomas H. Miller, Matteo D. Gallidabino, James I. MacRae, Stewart F. Owen, Nicolas R. Bury, Leon Barron
Software Mentions: 11
Published: almost 6 years ago
10.1186/s13040-016-0086-4
Prediction of donor splice sites using random forest with a new sequence encoding approachCited by: 31
Author(s): Prabina Kumar Meher, Tanmaya Kumar Sahu, Atmakuri Ramakrishna Rao
Software Mentions: 9
Published: almost 9 years ago
10.1186/s12967-021-02720-w
Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospitalCited by: 38
Author(s): Verena Schöning, Evangelia Liakoni, Christine Baumgartner, Aristomenis K. Exadaktylos, Wolf E. Hautz, Andrew Atkinson, Felix Hammann
Software Mentions: 7
Published: almost 4 years ago
10.3389/fimmu.2021.656541
The Predictive Value of Monocytes in Immune Microenvironment and Prognosis of Glioma Patients Based on Machine LearningCited by: 32
Author(s): Nan Zhang, Ziyu Dai, Wantao Wu, Zeyu Wang, Hui Cao, Yakun Zhang, Zhanchao Wang, Hao Zhang, Quan Cheng
Software Mentions: 7
Published: over 3 years ago
10.3389/fmicb.2018.01100
nifPred: Proteome-Wide Identification and Categorization of Nitrogen-Fixation Proteins of Diaztrophs Based on Composition-Transition-Distribution Features Using Support Vector MachineCited by: 10
Author(s): Prabina Kumar Meher, Tanmaya Kumar Sahu, Jyotilipsa Mohanty, Shachi Gahoi, P. Supriya, Monendra Grover, Atmakuri Ramakrishna Rao
Software Mentions: 7
Published: over 6 years ago
10.2196/21331
Detection of Bulbar Involvement in Patients With Amyotrophic Lateral Sclerosis by Machine Learning Voice Analysis: Diagnostic Decision Support Development StudyCited by: 9
Author(s): Alberto Tena, Francesc Clarià, Francesc Solsona, Einar Meister, Mònica Povedano
Software Mentions: 6
Published: over 3 years ago
10.7717/peerj.7969
Machine learning analysis to identify the association between risk factors and onset of nosocomial diarrhea: a retrospective cohort studyCited by: 4
Author(s): Ken Kurisu, Kazuhiro Yoshiuchi, Kei Ogino, Toshimi Oda
Software Mentions: 6
Published: about 5 years ago
10.5713/ajas.18.0504
White striping degree assessment using computer vision system and consumer acceptance testCited by: 12
Author(s): Talita Kato, Saulo Martiello Mastelini, Gabriel Fillipe Centini Campos, Ana Paula Ayub da Costa Barbon, Sandra Helena Prudêncio, Massami Shimokomaki, Adriana Lourenço Soares, Sylvio Barbon
Software Mentions: 5
Published: over 5 years ago
10.1186/s12859-017-1848-9
A machine learning approach for predicting methionine oxidation sitesCited by: 26
Author(s): Juan Carlos Aledo, Francisco R. Cantón, Francisco J. Veredas
Software Mentions: 4
Published: about 7 years ago
10.3390/e21121168
Using Entropy for Welds Segmentation and EvaluationCited by: 7
Author(s): Oto Haffner, Erik Kučera, Peter Drahoš, Jan Cigánek
Software Mentions: 4
Published: almost 5 years ago
10.1038/s41598-018-37309-9
HRGPred: Prediction of herbicide resistant genes with k-mer nucleotide compositional features and support vector machineCited by: 8
Author(s): Prabina Kumar Meher, Tanmaya Kumar Sahu, K. Raghunandan, Shachi Gahoi, Nalini Kanta Choudhury, Atmakuri Ramakrishna Rao
Software Mentions: 4
Published: almost 6 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
10.1038/s41598-021-92155-6
Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning modelsCited by: 10
Author(s): Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia K. Gerke, Eric A. Hoffman, Prashant Nagpal
Software Mentions: 4
Published: over 3 years ago
10.3390/s19194342
Prediction of Motor Failure Time Using An Artificial Neural NetworkCited by: 39
Author(s): Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva, Leandro Augusto da Silva
Software Mentions: 4
Published: about 5 years ago
10.1186/s12894-021-00849-w
Development and head-to-head comparison of machine-learning models to identify patients requiring prostate biopsyCited by: 4
Author(s): Shuanbao Yu, Tao Jin, Biao Dong, Yafeng Fan, Haopeng Du, Haotian Deng, Jinshan Cui, Guodong Hong, Xuepei Zhang
Software Mentions: 4
Published: over 3 years ago
10.3390/genes11080931
A Linear Regression and Deep Learning Approach for Detecting Reliable Genetic Alterations in Cancer Using DNA Methylation and Gene Expression DataCited by: 22
Author(s): Saurav Mallik, Soumita Seth, Tapas Bhadra, Zhongming Zhao
Software Mentions: 3
Published: over 4 years ago
10.3390/jcm10091921
Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison—Cardiac MRI Radiomics in Pulmonary HypertensionCited by: 5
Author(s): Sarv Priya, Tanya Aggarwal, Caitlin Ward, Girish Bathla, Mathews Jacob, Alicia K. Gerke, Eric A. Hoffman, Prashant Nagpal
Software Mentions: 3
Published: over 3 years ago
10.1371/journal.pone.0086222
SMART: A Spatially Explicit Bio-Economic Model for Assessing and Managing Demersal Fisheries, with an Application to Italian Trawlers in the Strait of SicilyCited by: 49
Author(s): Tommaso Russo, Antonio Parisi, Germana Garofalo, Michele Gristina, Stefano Cataudella, Fabio Fiorentino
Software Mentions: 3
Published: almost 11 years ago
10.1038/s41598-021-90032-w
Machine learning based differentiation of glioblastoma from brain metastasis using MRI derived radiomicsCited by: 23
Author(s): Sarv Priya, Yanan Liu, Caitlin Ward, Nam Le, Neetu Soni, Ravishankar Pillenahalli Maheshwarappa, Varun Monga, Honghai Zhang, Milan Sonka, Girish Bathla
Software Mentions: 3
Published: over 3 years ago
10.1186/s12879-019-4028-x
Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networksCited by: 32
Author(s): Wei Wu, Shi An, Peng Guan, Desheng Huang, Baosen Zhou
Software Mentions: 2
Published: over 5 years ago
10.7717/peerj.8530
Uncertainty in gap filling and estimating the annual sum of carbon dioxide exchange for the desert Tugai forest, Ebinur Lake Basin, Northwest ChinaCited by: 1
Author(s): Dexiong Teng, Xuemin He, Jingzhe Wang, Jinlong Wang, Guanghui Lv
Software Mentions: 2
Published: almost 5 years ago
10.3390/s20061692
A Systematic Methodology to Evaluate Prediction Models for Driving Style ClassificationCited by: 28
Author(s): Iván Silva, José Eugenio Naranjo
Software Mentions: 2
Published: over 4 years ago
10.1038/s41598-021-95978-5
Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithmsCited by: 22
Author(s): Sunil Saha, Raju Sarkar, Sunil Saha, Tusar Kanti Hembram, Saroj Acharya, Gautam Thapa, Dowchu Drukpa
Software Mentions: 1
Published: over 3 years ago