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: ANN2

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/ANN2

Artificial Neural Networks for Anomaly Detection
14 versions
Latest release: almost 4 years ago
469 downloads last month

Papers Mentioning ANN2 14

10.3390/ijms21010079
Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data
Cited by: 10
Author(s): Jörn Lötsch, Alfred Ultsch
Software Mentions: 6
Published: almost 5 years ago
10.3389/fgene.2018.00477
Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma
Cited by: 122
Author(s): Li Zhang, Chenkai Lv, Yichen Jin, Ganqi Cheng, Yibao Fu, Dongsheng Yuan, Yiran Tao, Yongli Guo, Xin Ni, Tieliu Shi
Software Mentions: 3
Published: about 6 years ago
10.3390/cancers13112528
Biomarker Identification through Multiomics Data Analysis of Prostate Cancer Prognostication Using a Deep Learning Model and Similarity Network Fusion
Cited by: 26
Author(s): Tzu Hao Wang, Cheng Yang Lee, Tzong-Yi Lee, Hsien Da Huang, Justin Bo Kai Hsu, Tzu Hao Chang
Software Mentions: 3
Published: over 3 years ago
10.3390/molecules24050826
Prediction Models to Control Aging Time in Red Wine
Cited by: 18
Author(s): Gonzalo Astray, Juan C. Mejuto, Víctor Martínez-Martínez, Ignacio Nevares, María del Álamo Sanza, Jesús Simal-Gándara
Software Mentions: 1
Published: over 5 years ago
10.3390/plants8110439
Organization Features of the Mitochondrial Genome of Sunflower (Helianthus annuus L.) with ANN2-Type Male-Sterile Cytoplasm
Cited by: 7
Author(s): Maksim Makarenko, А. В. Усатов, Tatiana V. Tatarinova, Kirill Azarin, Maria D. Logacheva, В. А. Гаврилова, И. В. Корниенко, Renate Horn
Software Mentions: 1
Published: about 5 years ago
10.1371/journal.pone.0246403
Relay protection system of transmission line based on AI
Cited by: 1
Author(s): Xiangyu Zheng, Rong Jia, Linling Gong, Aisikaer, Xiaoli Ma, Jian Dang
Software Mentions: 1
Published: over 3 years ago
10.3389/fphys.2018.00218
Estimation of Vertical Ground Reaction Forces and Sagittal Knee Kinematics During Running Using Three Inertial Sensors
Cited by: 119
Author(s): Frank J. Wouda, Matteo Giuberti, Giovanni Bellusci, Erik Maartens, Jasper Reenalda, Bert-Jan van Beijnum, Petrus H. Veltink
Software Mentions: 1
Published: over 6 years ago
10.1038/s41598-019-40429-5
Using artificial neural networks to predict future dryland responses to human and climate disturbances
Cited by: 33
Author(s): Catherine E. Buckland, Richard M. Bailey, David S.G. Thomas
Software Mentions: 1
Published: over 5 years ago
10.1155/2014/303858
Neural and Hybrid Modeling: An Alternative Route to Efficiently Predict the Behavior of Biotechnological Processes Aimed at Biofuels Obtainment
Cited by: 8
Author(s): Stefano Curcio, Alessandra Saraceno, Vincenza Calabrò, G. Iorio
Software Mentions: 1
Published: almost 11 years ago
10.3390/s20247150
Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications
Cited by: 14
Author(s): Zlatica Marinković, Giovanni Gugliandolo, M. Latino, Giuseppe Campobello, Giovanni Crupi, Nicola Donato
Software Mentions: 1
Published: almost 4 years ago
10.1186/1472-6947-7-35
A comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – Part I: model planning
Cited by: 27
Author(s): Emanuela Barbini, Gabriele Cevenini, Sabino Scolletta, Bonizella Biagioli, Pierpaolo Giomarelli, Paolo Barbini
Software Mentions: 1
Published: almost 17 years ago
10.1186/1743-0003-5-5
A neural tracking and motor control approach to improve rehabilitation of upper limb movements
Cited by: 28
Author(s): Michela Goffredo, Ivan Bernabucci, Maurizio Schmid, Silvia Conforto
Software Mentions: 1
Published: almost 17 years ago
10.3390/ma12223730
Artificial Neural Network in Fibres Length Prediction for High Precision Control of Cellulose Refining
Cited by: 19
Author(s): Daniele Almonti, Gabriele Baiocco, V. Tagliaferri, Nadia Ucciardello
Software Mentions: 1
Published: about 5 years ago
10.3390/ma14112737
Optimization of Extrusion-Based 3D Printing Process Using Neural Networks for Sustainable Development
Cited by: 16
Author(s): Izabela Rojek, Dariusz Mikołajewski, Marek Macko, Z Szczepański, Ewa Dostatni
Software Mentions: 1
Published: over 3 years ago