• Suche: Machine Learning Using R

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61

Design of an Integrated Model Using R-GCN, TPOT, and Transformers for Efficient NoSQL Data Processing and Analysis.
Balley, Pragya Lekheshwar ; Sonekar, Shrikant V.
Journal of Neonatal Surgery. 2025 Supplement, Vol. 14, p298-314. 17p.

MACHINE learning ARTIFICIAL neural networ... DATABASES ELECTRONIC data processi... HETEROGENEOUS computing
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62

Machine Learning for Classification in Lung Cancer Using Routine Clinical and Laboratory Data
Liu, Chang ; Liao, YuLin ; Wang, Dongsheng ; et al.
Annals of Surgical Oncology. :1-13

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63

Machine-learning at the service of plastic surgery: a case study evaluating facial attractiveness and emotions using R language
Lubomir Stepanek ; Pavel Kasal ; Jan Mestak
Annals of computer science and information systems, Vol 18, Pp 107-112 (2019)

Electronic computers. Co... 0202 electrical engineer... Information technology QA75.5-76.95 02 engineering and techn... T58.5-58.64 …
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67

Development of an epileptic seizure prediction algorithm using R–R intervals with self-attentive autoencoder
Ode, Rikumo ; Fujiwara, Koichi ; Miyajima, Miho ; et al.
Artificial Life and Robotics. 28:403-409

03 medical and health sc... Epilepsy 0302 clinical medicine Machine learning Self-attentive autoencod... Electrocardiogram
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69

Performance Evaluation of the Supervised Machine Learning Algorithms Using R
Pratibha Maurya ; Nidhi Srivastava
Advances in Intelligent Systems and Computing ISBN: 9789811601705

3. Good health
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70

Quantitative evaluation of hydrocarbon contamination in soil using hyperspectral data—a comparative study of machine learning models
Al Ayass, Rafic ; Mustapha, Samir ; Ahmad, Farah Ali ; et al.
Environmental Monitoring and Assessment: An International Journal Devoted to Progress in the Use of Monitoring Data in Assessing Environmental Risks to Humans and the Environment. 197(8)

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71

Active recursive Bayesian inference using R\'enyi information measures
Marghi, Yeganeh M. ; Kocanaogullari, Aziz ; Akcakaya, Murat ; et al.

Computer Science - Machi... Computer Science - Infor... Electrical Engineering a... Statistics - Machine Lea...
Report
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72

Students Engagement Detection in Online Learning During Covid-19 Pandemic Using R Programming Language
Ahmed Imran KABIR ; Suraya AKTER ; Sriman MITRA
Informatică economică, Vol 25, Iss 3, Pp 26-37 (2021)

0301 basic medicine Computer engineering. Co... 0303 health sciences 4. Education artificial intelligence... Bibliography. Library sc... …
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73

Adaptive feature selection using an autoencoder and classifier: applied to a radiomics case
Zare Hassanpour, R. ; Netten, C.P.M. ; Busker, A.L.J. ; et al.
SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing. :1256-1259

computing methodologies machine learning learning settings learning from implicit f... feature selection radiomics …
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74

Behavior Analysis with Machine Learning Using R
Enrique Garcia Ceja ; Enrique Garcia Ceja

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75

Site-specific fertilizer recommendation using data driven machine learning enhanced wheat productivity and resource use efficiency
Liben, Feyera ; Abera, Wuletawu ; Chernet, Meklit Tariku ; et al.
In Field Crops Research 1 June 2024 313

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76

Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization
Li, Mengke ; Mumpower, Matthew ; Vassh, Nicole ; et al.

Astrophysics - Solar and...
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77

Artificial Intelligence Driven Skin Cancer Detection Using R-FCN Enhanced Deep Convolutional Neural Networks with SMOTE Balancing.
Doni, A. Ronald ; Shieh, Chin-Shiuh ; S., Siva Shankar ; et al.
International Journal of Engineering Science & Information Technology; 2025, Vol. 5 Issue 4, p28-36, 9p

CONVOLUTIONAL neural net... SKIN tumors DEEP learning COMPUTER-assisted image... ARTIFICIAL neural networ... CLASSIFICATION …
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78

Sentiment Analysis Using R: An Approach to Correlate Cryptocurrency Price Fluctuations with Change in User Sentiment Using Machine Learning
Hossain Al Muhee ; Jia Uddin ; Syed Junayed Ahmed Anta ; et al.
2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR). :492-497

2. Zero hunger 0211 other engineering a... 0202 electrical engineer... 02 engineering and techn...
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80

Comparison of machine learning methods versus traditional Cox regression for survival prediction in cancer using real-world data: a systematic literature review and meta-analysis.
Huang, Yinan ; Bazzazzadehgan, Shadi ; Li, Jieni ; et al.
BMC Medical Research Methodology. 10/28/2025, Vol. 25 Issue 1, p1-16. 16p.

MACHINE learning CANCER prognosis PREDICTIVE validity SURVIVAL analysis (Biome... SCIENTIFIC observation PROPORTIONAL hazards mod...
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