المؤلفون: Gómez Zurita, Jose Luis

Thesis Advisors: López Peña, Antonio M. (Antonio Manuel)

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Adaptació de domini, Adaptación de dominio, Domain adaptation, Aprenentatge semisupervisat, Aprendizaje semi-supervisado, Semi-supervised learning, Conducció autònoma, Conducción autónoma, Autonomous driving, Tecnologies

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/689680

المؤلفون: Zolfaghari Bengar, Javad

Thesis Advisors: Weijer, Joost van de, Raducanu, Bogdan

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Reconeixement visual, Reconocimiento visual, Visual recognition, Aprenentatge actiu profund, Aprendizaje activo profundo, Deep active learning, Detecció d’objectes de vídeo, Detección de objetos en video, Video object detection, Aprenentatge semisupervisat, Aprendizaje semi-supervisado, Semi-supervised learning, Conjunts de dades de desequilibri, Conjuntos de datos imbalanceados, Imbalance datasets, Aprenentatge autosupervisat, Aprendizaje auto-supervisado, Self-supervised learning, Ciències Experimentals

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/675182

المؤلفون: Li, Zhongnian^1,2, Ding, Yanyan¹, Wei, Meng¹, Xu, Xinzheng^1,2,3 xxzheng@cumt.edu.cn

المصدر: Electronic Research Archive. 2024, Vol. 32 Issue 10, p1-15. 15p.

مصطلحات موضوعية: *ALGAL blooms, *TRANSFORMER models, *VISUAL programming languages (Computer science), *DATA augmentation

Reviews & Products: SEMI-Supervised Learning (Book)

المؤلفون: Fredriksson, Teodor, Bosch, Jan, Olsson, Helena H.

المصدر: International Journal of Data Science and Analytics.

مصطلحات موضوعية: Data labeling, Software engineering, Semi-supervised learning, Bayesian data analysis

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-73330
https://doi.org/10.1007/s41060-024-00713-8

المؤلفون: Miller, Kevin S, Bertozzi, Andrea L

المصدر: Communications on Applied Mathematics and Computation. 6(2)

مصطلحات موضوعية: Computer Vision and Multimedia Computation, Information and Computing Sciences, Machine Learning, Active learning, Graph-based methods, Semi-supervised learning, Graph Laplacian

URL الوصول: https://escholarship.org/uc/item/1560w5g8

المؤلفون: Pedram Aridas, Narendra Kumar, Anis Salwa Mohd Khairuddin, Daniel Ting, Vivek Regeev

المصدر: IEEE Access, Vol 13, Pp 21678-21694 (2025)

مصطلحات موضوعية: Defect detection, graph, semi-supervised learning, semiconductor wafer, test-induced, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10855443/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/5f1e5ac7e31f4fb49f59ef8dda39a032

المؤلفون: G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

المصدر: IEEE Access, Vol 13, Pp 9642-9653 (2025)

مصطلحات موضوعية: Semi-supervised learning, flood mapping, SAR images, semantic segmentation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10829568/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/a4ed3a35865d411ab1bed82da82d696c

المؤلفون: Jia-Nan Zhou, Zhi-Lin Feng

المصدر: IEEE Access, Vol 13, Pp 6704-6728 (2025)

مصطلحات موضوعية: Support vector machines, semi-supervised learning, regularization, energy-based margin, classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10830480/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/d097f33b11134d5386cc6eceff388540

المؤلفون: Uk Jo, Seoung Bum Kim

المصدر: IEEE Access, Vol 13, Pp 56-66 (2025)

مصطلحات موضوعية: Data augmentation, defect patterns classification, semiconductor manufacturing, semi-supervised learning, wafer bin maps, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10813350/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/b46d5f8b90bc4d66a40a4fbdcc5d9cef

المؤلفون: Fereshteh Karimi, Mohammad Bagher Dowlatshahi, Amin Hashemi

المصدر: Journal of Mahani Mathematical Research, Vol 14, Iss 1, Pp 283-326 (2025)

مصطلحات موضوعية: ant colony optimization, ensemble of heuristics, semi-supervised learning, ensemble feature selection, multi-criteria decision-making, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://jmmrc.uk.ac.ir/article_4480_ba6af5216f52d0a8fd0b2faaf1c68a8b.pdf; https://doaj.org/toc/2251-7952; https://doaj.org/toc/2645-4505

URL الوصول: https://doaj.org/article/c4ad390230cf49e3a922aba03c3870a1

المؤلفون: Rui Xu, Tie Yan, Shihui Sun, Jingyu Qu, Zhaokai Hou

المصدر: Oil Shale, Vol 42, Iss 1, Pp 79-114 (2025)

مصطلحات موضوعية: shale oil, favorable area, autoencoder, batch normalization, semi-supervised learning, Technology, Science (General), Q1-390

وصف الملف: electronic resource

Relation: https://kirj.ee/wp-content/plugins/kirj/pub/OS-1-2025-79-114_20250113132828.pdf; https://doaj.org/toc/0208-189X; https://doaj.org/toc/1736-7492

URL الوصول: https://doaj.org/article/da7d2f9ae0f44834ad7d97723b913d99

المؤلفون: Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

المصدر: IEEE Access, Vol 13, Pp 3572-3582 (2025)

مصطلحات موضوعية: Semi-supervised object detection, object detection, semi-supervised learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10818482/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/2dfa115f731a43cdbf6d754a7e5950a5

المؤلفون: Zijian Jiang, Chaoli Sun, Xiaotong Liu, Hui Shi, Sisi Wang

المصدر: Complex & Intelligent Systems, Vol 11, Iss 2, Pp 1-11 (2025)

مصطلحات موضوعية: Expensive multi-objective evolutionary algorithm, Semi-supervised learning, Gaussian process model, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2199-4536; https://doaj.org/toc/2198-6053

URL الوصول: https://doaj.org/article/c618c4a505f145129b36fbdd641f7cfe

المؤلفون: Matthew Chin, Roberto Corizzo

المصدر: Machine Learning and Knowledge Extraction, Vol 6, Iss 4, Pp 2829-2854 (2024)

مصطلحات موضوعية: continual learning, malware detection, semi-supervised learning, one-class learning, anomaly detection, Computer engineering. Computer hardware, TK7885-7895

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-4990/6/4/135; https://doaj.org/toc/2504-4990

URL الوصول: https://doaj.org/article/8a01c00918474965bc0d8c4da8236315

المؤلفون: Ahmed Saihood, Wijdan Rashid Abdulhussien, Laith Alzubaid, Mohamed Manoufali, Yuantong Gu

المصدر: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-28 (2024)

مصطلحات موضوعية: Generative Adversarial Network, Lung Nodules Classification, Semi-supervised learning, Deep learning, Medical imaging, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1472-6947

URL الوصول: https://doaj.org/article/029bda65011c41b18a6c67e1e0a94942

المؤلفون: Arvidsson, Victor, Alawadi, Sadi, 1983, Boldt, Martin, Angelsmark, Ola, Soderlund, Fanny

المصدر: 2024 9th International Conference on Fog and Mobile Edge Computing, FMEC 2024. :114-121

مصطلحات موضوعية: Centralized Federated Learning, Cybersecurity, Naive Bayes, NSL-KDD, Semi-Supervised Learning, SFLEDS, Adversarial machine learning, Contrastive Learning, Network intrusion, Self-supervised learning, Centralised, Cyber security, Data stream, Intrusion Detection Systems, Offline, Supervised federated learning on evolving data stream, Federated learning

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27102
https://bth.diva-portal.org/smash/get/diva2:1914270/FULLTEXT01.pdf

المؤلفون: Naidu, Sarala Mohan, Xiong, Ning

المصدر: ACM International Conference Proceeding Series. :301-310

مصطلحات موضوعية: Anomaly detection, Attentions, Calibration error, Convolutional Autoencoder, cooling liquid conductivity, Cooling systems, Industrial refrigeration, Risk assessment, Risk management, Self-supervised learning, Semi-supervised learning, Attention, Auto encoders, Cooling liquid, Industrial systems, Liquid conductivity, Risks assessments, Calibration

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68572
https://doi.org/10.1145/3674029.3674076

المؤلفون: Naidu, Sarala Mohan, Xiong, Ning

المصدر: ACM International Conference Proceeding Series. :49-57

مصطلحات موضوعية: Anomaly detection, Ensemble Learning, Fusion, predictive maintenance, self-supervised learning, Voting, Adversarial machine learning, Contrastive Learning, Industrial refrigeration, Semi-supervised learning, Anomaly predictions, Auto encoders, Industrial settings, Learn+, Learning frameworks, Voting fusion

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68581
https://doi.org/10.1145/3674029.3674038

المؤلفون: Zoljodi, Ali, Abadijou, S., Alibeigi, M., Daneshtalab, Masoud

المصدر: Pattern Recognition Letters. 185:175-183

مصطلحات موضوعية: Contrastive learning, Convolutional neural networks, Lane detection, Adversarial machine learning, Road and street markings, Self-supervised learning, Semi-supervised learning, Condition, Convolutional neural network, Detection models, Input image, Lane markings, Learning methods, Local feature, Real-world scenario, Shape priors

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68260
https://doi.org/10.1016/j.patrec.2024.08.007

المؤلفون: Fan, Rui, Bowd, Christopher, Brye, Nicole, Christopher, Mark, Weinreb, Robert N, Kriegman, David J, Zangwill, Linda M

المصدر: IEEE Transactions on Medical Imaging. 42(12)

مصطلحات موضوعية: Information and Computing Sciences, Machine Learning, Neurodegenerative, Bioengineering, Networking and Information Technology R&D (NITRD), Neurosciences, Humans, Glaucoma, Fundus Oculi, Neural Networks, Computer, Supervised Machine Learning, Training, Semisupervised learning, Convolutional neural networks, Task analysis, Training data, Supervised learning, glaucoma diagnosis, low-shot learning, semi-supervised learning, Engineering, Nuclear Medicine & Medical Imaging, Information and computing sciences

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/10x056pz
https://escholarship.org/content/qt10x056pz/qt10x056pz.pdf