Suchergebnisse - "Classification algorithm"

A DNA methylation-based algorithm for diagnosing rheumatoid arthritis

Autoren: Espen Riskedal Astanand Jugessur Silje Watterdal Syversen et al.

Quelle: Arthritis Research & Therapy, Vol 27, Iss 1, Pp 1-11 (2025)

Schlagwörter: Rheumatoid arthritis, Classification algorithm, Seronegative, Epigenetics, DNA methylation, Diseases of the musculoskeletal system, RC925-935

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1478-6362

Zugangs-URL: https://doaj.org/article/13ba8eb45ad84a60b799e273d7dc811e

Commercial pilot license stage flight training evaluation method based on competency and CatBoost algorithm

Autoren: SUN Hong ZHANG Zhaoyang LAN Jian et al.

Quelle: Hangkong gongcheng jinzhan, Vol 16, Iss 5, Pp 183-189 (2025)

Schlagwörter: cpl stage flight training, z-score method, competency assessment, observable behaviors, gradient boosting tree, catboost multi-classification algorithm, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Dateibeschreibung: electronic resource

Relation: http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2024120; https://doaj.org/toc/1674-8190

Zugangs-URL: https://doaj.org/article/e6a30f9e6efe4bf39f570e572fb9e115

Predicting Online Learners’ Performance Through Ontologies: A Systematic Literature Review

Autoren: Albo Abdullah, Safa Ridha Al-Azawei, Ahmed

Quelle: International Review of Research in Open and Distributed Learning, Vol 26, Iss 1 (2025)

Schlagwörter: education, LC8-6691, decision tree, data mining, ontology, classification algorithm, Special aspects of education, Semantic Web

Zugangs-URL: https://doaj.org/article/65cea7a2f6e74e43b2bf0cb8f5f1c3dc

Application of Big Data Technology to Assessments of Female Ovarian Reserve Dysfunction

Autoren: Xia Ji’An Ma YunFei Wu YiYun et al.

Quelle: IEEE Access, Vol 13, Pp 19408-19419 (2025)

Schlagwörter: Diminished ovarian reserve, three-dimensional power Doppler ultrasound, machine learning, Electrical engineering. Electronics. Nuclear engineering, classification algorithm, medical big data, performance evaluation, TK1-9971

Zugangs-URL: https://doaj.org/article/f6f1302e097e43d6999eff8eafe21796

Three-Layer Retrieval and Self-Evaluation Classification Method Based on FastText Algorithm

Autoren: Yidan Li Huanhuan Hong Luhong Wen

Quelle: IEEE Access, Vol 13, Pp 87136-87148 (2025)

Schlagwörter: tertiary classification, multi-step search strategy, FastText classification algorithm, Patent retrieval, Electrical engineering. Electronics. Nuclear engineering, DBDI, TK1-9971

Zugangs-URL: https://doaj.org/article/e4ae6575fd494c2f80f45afcc0128dfb

Music Emotion Classification Based on Heterogeneous Graph Neural Networks

Autoren: Jing-Ying Guo Peng Wang

Quelle: IEEE Access, Vol 13, Pp 76473-76480 (2025)

Schlagwörter: Electrical engineering. Electronics. Nuclear engineering, classification algorithm, heterogeneous graph neural networks, Music emotion, TK1-9971

Zugangs-URL: https://doaj.org/article/371091c5606b4801b6b819a84f363ca9

Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance

Autoren: Ziyuan Zhong Junyang Zhou

Quelle: IEEE Access, Vol 13, Pp 97249-97259 (2025)

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, subset prediction, Dynamic classification algorithm, Computer Science - Artificial Intelligence, I.0, J.0, prediction accuracy improvement, TK1-9971, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), self-supervised learning, Electrical engineering. Electronics. Nuclear engineering, data distribution, industrial forecasts

Zugangs-URL: http://arxiv.org/abs/2502.18891
https://doaj.org/article/602f754422ce403982c97f0aa31ef6cf

An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISE Dataset for Software Defect Prediction

Autoren: Agung Fatwanto Muh Nur Aslam Rebbecah Ndugi et al.

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 8, Iss 5, Pp 631-643 (2024)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 8 No 5 (2024): October 2024; 631-643

Schlagwörter: Resampling, Imbalanced Data, Software Defect Prediction, Information technology, T58.5-58.64, Systems engineering, Machine Learning, software defect prediction, TA168, machine learning, resampling, imbalanced data, Classification Algorithm, classification algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/c6162587b34144bfbc7309c87594eae2
http://jurnal.iaii.or.id/index.php/RESTI/article/view/5910

Performance Comparison of Sentiment Classification Algorithms on SIGNAL Reviews Using SMOTE

Autoren: Qothrunnada Wafi Anadia Allsela Meiriza

Quelle: Journal of Information Systems and Informatics, Vol 7, Iss 3, Pp 2407-2423 (2025)

Schlagwörter: sentiment analysis, user reviews, classification algorithm, smote, text classification, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://journal-isi.org/index.php/isi/article/view/1196; https://doaj.org/toc/2656-5935; https://doaj.org/toc/2656-4882

Zugangs-URL: https://doaj.org/article/7e932a1d66344d148af844d7d06b9a9e

Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning

Autoren: Xu, Jiayuan Doig, Andrew Michopoulou, Sofia et al.

Quelle: Frontiers in Aging Neuroscience. 17

Schlagwörter: machine learning classification algorithm, feature matching, feature selection, plasma biomarkers, Alzheimer's Disease, AB PET

Zugangs-URL: https://research.manchester.ac.uk/en/publications/57f88a63-0198-4d11-8818-5ae9a7c7bebf

Accurate and Robust Prediction of Amyloid-β Brain Deposition from Plasma Biomarkers and Clinical Information Using Machine Learning

Quelle: Alzheimer's Disease Neuroimaging Initiative 2025, 'Accurate and Robust Prediction of Amyloid-β Brain Deposition from Plasma Biomarkers and Clinical Information Using Machine Learning', Frontiers in aging neuroscience.

Schlagwörter: machine learning classification algorithm, feature matching, feature selection, plasma biomarkers, Alzheimer's Disease, AB PET

Zugangs-URL: https://research.manchester.ac.uk/en/publications/57f88a63-0198-4d11-8818-5ae9a7c7bebf

Machine learning classification algorithm screening for the main controlling factors of heavy oil CO2 huff and puff

Autoren: Peng-xiang Diwu Beichen Zhao Hangxiangpan Wang et al.

Quelle: Petroleum Research, Vol 9, Iss 4, Pp 541-552 (2024)

Schlagwörter: Oils, fats, and waxes, Algorithm screening, Main control factors, 0202 electrical engineering, electronic engineering, information engineering, TP670-699, 02 engineering and technology, Heavy oil, Petroleum refining. Petroleum products, CO2 huff and puff, Classification algorithm, TP690-692.5

Zugangs-URL: https://doaj.org/article/2e6f244aaf12435d860b7e068538247f

Power Quality Disturbance Classification Algorithm Based on Federated Learning of Inherited Private Model

Autoren: JIANG Peng WANG Peng ZHU Hongxia et al.

Quelle: Journal of Harbin University of Science and Technology, Vol 30, Iss 03, Pp 107-115 (2025)

Schlagwörter: power quality disturbance, federated learning, forgetting knowledge inherited private model, classification algorithm, privacy protection, Technology, Science

Dateibeschreibung: electronic resource

Relation: https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2435; https://doaj.org/toc/1007-2683

Zugangs-URL: https://doaj.org/article/aae4562b41dd496bb4a63b3a04a9b752

Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation

Autoren: Penni Wintasari Simarmata Putri Taqwa Prasetyaningrum

Quelle: Journal of Information Systems and Informatics, Vol 7, Iss 2, Pp 1283-1305 (2025)

Schlagwörter: classification algorithm, depression prediction, machine learning, model development, model evaluation, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://journal-isi.org/index.php/isi/article/view/1087; https://doaj.org/toc/2656-5935; https://doaj.org/toc/2656-4882

Zugangs-URL: https://doaj.org/article/6cfaaae13de2453d945e42cc92570a83

Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions

Autoren: Leonardo Buscarini Paola Romano Elena Sofia Cocco et al.

Quelle: Journal of NeuroEngineering and Rehabilitation, Vol 22, Iss 1, Pp 1-16 (2025)

Schlagwörter: Personalized rehabilitation, Machine learning, Classification algorithm, Random forest, Unbalance, Hyperparameters optimization, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1743-0003

Zugangs-URL: https://doaj.org/article/5550d330ce50499fbf87a55cec302e71

A predicted model-aided one-step classification–multireconstruction algorithm for X-ray free-electron laser single-particle imaging

Autoren: Zhichao Jiao Zhi Geng Wei Ding

Quelle: IUCrJ
IUCrJ, Vol 11, Iss 5, Pp 891-900 (2024)

Schlagwörter: 0301 basic medicine, orientation determination algorithm, 0303 health sciences, 03 medical and health sciences, Crystallography, x-ray free-electron lasers, QD901-999, classification algorithm, Research Papers, single-particle imaging

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39194258
https://doaj.org/article/d7caf41ab48347a0b164d5a98535c878

Modernising Receiver Operating Characteristic (ROC) Curves †

Autoren: Pendrill, Leslie Melin, Jeanette Stavelin, Anne et al.

Quelle: Algorithms. 16(5)

Schlagwörter: decision risks, measurement system analysis, ordinality, rating ability, receiver operating characteristic, Machine learning, Risk assessment, Systems analysis, Classification algorithm, Decision risk, Item response theory, Measurement systems analysis, Quality characteristic, Rating abilities, Receiver operating characteristic curves, Receiver operating characteristics, Specification limit, Decision making

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-64945
https://doi.org/10.3390/a16050253

Developing reliable predictive models using machine learning techniques for student admission at Bayero University, Kano, Nigeria

Autoren: Kausar Rabiu Ibrahim Muhammad Yahuza Bello Mahmud Yusuf Ahmad

Quelle: Dutse Journal of Pure and Applied Sciences; Vol. 11 No. 2b (2025); 208-218

Schlagwörter: Student admission prediction, predictive modeling, machine learning, BUK, classification algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.ajol.info/index.php/dujopas/article/view/298247

Unstructured Big Data Threat Intelligence Parallel Mining Algorithm

Autoren: Zhihua Li Xinye Yu Tao Wei et al.

Quelle: Big Data Mining and Analytics, Vol 7, Iss 2, Pp 531-546 (2024)

Schlagwörter: threat intelligence, 03 medical and health sciences, 0302 clinical medicine, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, unstructured big data mining, multi-label classification algorithm, QA75.5-76.95, 02 engineering and technology, parallel deep forest

Zugangs-URL: https://doaj.org/article/ebd1e2149746426cad7fb6a1ec547934

An Overview of Machine Learning Techniques for Diagnosing Diseases

Autoren: Waykole, Rashmi

Schlagwörter: Keywords: -Disease Diagnostics, Machine Learning, Classification Algorithm