المؤلفون: Vettoruzzo, Anna, 1998

المساهمون: Bouguelia, Mohamed-Rafik, Universitetslektor, 1987, Rögnvaldsson, Thorsteinn, Professor, 1963, van Rijn, Jan, Assistant professor

المصدر: Halmstad University Dissertations.

مصطلحات موضوعية: Meta-learning, Few-shot learning, Domain adaptation, Federated learning, Continual learning, Unsupervised learning, In-context learning

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55147
https://hh.diva-portal.org/smash/get/diva2:1924707/FULLTEXT01.pdf
https://hh.diva-portal.org/smash/get/diva2:1924707/PREVIEW01.jpg

المؤلفون: Juan Zhao, Lili Kong, Jiancheng Lv

المصدر: Big Data Mining and Analytics, Vol 8, Iss 1, Pp 145-188 (2025)

مصطلحات موضوعية: few-shot learning (fsl), meta-learning, data augmentation, prior knowledge, parameter optimization, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.sciopen.com/article/10.26599/BDMA.2024.9020049; https://doaj.org/toc/2096-0654

URL الوصول: https://doaj.org/article/b44bb150d0b047f5a257e7652ccc7b99

المؤلفون: Junzi Sun, Esther Roosenbrand

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 4273-4285 (2025)

مصطلحات موضوعية: Contrail detection, contrail segmentation, few-shot learning, remote sensing, SR loss, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10820969/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/69bdbae0cdeb4269b6083494cb89c452

المؤلفون: Dan Liu, Guihong Yuan, Huachao Tan, Yanbo Jiang, Hai Bi, Yuan Cheng

المصدر: IEEE Access, Vol 13, Pp 16223-16237 (2025)

مصطلحات موضوعية: Marine microalgae, few-shot learning, multi-scale feature fusion, feature enhancement, metric learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10620182/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/75dc11651a434cb7bbd73374a7e7cbda

المؤلفون: Tahira Amin, Zahoor-Ur-Rehman Tanoli, Farhan Aadil, Khalid Mahmood Awan, Sangsoon Lim

المصدر: IEEE Access, Vol 13, Pp 12483-12501 (2025)

مصطلحات موضوعية: AES, NLP, transfer learning, BERT, few-shot learning, holistic scoring, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10843186/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/27b012ff8d4549649a4bc363becbc05f

المؤلفون: Sai Babu Veesam, Aravapalli Rama Satish, Sreenivasulu Tupakula, Yuvaraju Chinnam, Krishna Prakash, Shonak Bansal, Mohammad Rashed Iqbal Faruque

المصدر: Scientific Reports, Vol 15, Iss 1, Pp 1-24 (2025)

مصطلحات موضوعية: Anomaly detection, Temporal graph attention, Transformer-augmented RNNs, Multimodal fusion, Few-shot learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/0954db36c8074bd7ae196d5115c9b9bb

المؤلفون: Andrew DuPlissis, Abhishri Medewar, Evan Hegarty, Adam Laing, Amber Shen, Sebastian Gomez, Sudip Mondal, Adela Ben-Yakar

المصدر: Scientific Reports, Vol 15, Iss 1, Pp 1-15 (2025)

مصطلحات موضوعية: U-Net, Few-shot learning, C. elegans, Developmental toxicity, Microfluidics, High-throughput screening, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/9bc598fc59b64eb18f07fe3550f87c29

المؤلفون: Xiyu Qi, Yidan Zhang, Lei Wang, Yifan Wu, Yi Xin, Zhan Chen, Yunping Ge

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 853-864 (2025)

مصطلحات موضوعية: Aerial image, dual metric learning, few-shot learning, graph convolutional network (GCN), semantic segmentation, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10746596/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/aaaca3a28fe34d469546abc6e7f38aef

المؤلفون: Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

المصدر: Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Chronic risk prediction, Data imbalance, Electronic health records, Few-shot learning, Reinforcement learning, 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/a025377b1d8346eba0e1f8cb3e372773

المؤلفون: Vettoruzzo, Anna, 1998, Bouguelia, Mohamed-Rafik, 1987, Rögnvaldsson, Thorsteinn, 1963

المصدر: Neural Computing & Applications. 36(15):8519-8529

مصطلحات موضوعية: Meta-learning, Few-shot learning, Transfer learning, Task representation, Multimodal distribution

وصف الملف: electronic

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52924
https://doi.org/10.1007/s00521-024-09540-1
https://hh.diva-portal.org/smash/get/diva2:1846103/FULLTEXT02.pdf

المؤلفون: Vettoruzzo, Anna, 1998, Bouguelia, Mohamed-Rafik, 1987, Vanschoren, Joaquin, Rögnvaldsson, Thorsteinn, 1963, Santosh, KC

المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7):4763-4779

مصطلحات موضوعية: Adaptation models, Data models, deep neural networks, few-shot learning, Meta-learning, Metalearning, representation learning, Surveys, Task analysis, Training, transfer learning, Transfer learning

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52730
https://doi.org/10.1109/TPAMI.2024.3357847

المؤلفون: Tian, Songsong, Li, Lusi, Li, Weijun, Ran, Hang, Ning, Xin, Tiwari, Prayag, 1991

المصدر: Neural Networks. 169:307-324

مصطلحات موضوعية: Catastrophic forgetting, Class-incremental learning, Few-shot learning, Overfitting, Performance evaluation

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-52064
https://doi.org/10.1016/j.neunet.2023.10.039

المؤلفون: Hammal, Ayoub, Uthayasooriyar, Benno, Corro, Caio

المساهمون: Sciences et Technologies des Langues - LISN (STL), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Mathématiques de Bretagne Atlantique (LMBA), Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), SCOR SE Paris, Creating and exploiting explicit links between multimedia fragments (LinkMedia), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA), First and last authors were funded by SCAI (Sorbonne Université), ANR-23-IAS1-0004,InExtenso,Evaluation intrinsèque et extrinsèque des biais dans les grands modèles de langue(2023)

المصدر: Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025) ; https://hal.science/hal-04877776 ; Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Jan 2025, Abu DHABI, France

مصطلحات موضوعية: Natural language processing, Named entity recognition, K-means, Deep learning, Few-shot learning, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]

جغرافية الموضوع: Abu DHABI, France

الاتاحة: https://hal.science/hal-04877776
https://hal.science/hal-04877776v1/document
https://hal.science/hal-04877776v1/file/2025_COLING___Semi_supervised_kmeans_for_fewshot_NER-9.pdf

المؤلفون: Lin, Hong, Qiang, Zhenping, Tse, Rita, Tang, Su-Kit, Pau, Giovanni

مصطلحات موضوعية: cross-domain, feature representation, few-shot learning, instance-embedding, task-adaptation, tobacco disease identification

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/6fh597qn
https://escholarship.org/content/qt6fh597qn/qt6fh597qn.pdf

المؤلفون: Biaoli Gao, Bin Yang, Hongru Xiao, Yanmin Zhou

المصدر: Alexandria Engineering Journal, Vol 117, Iss , Pp 81-98 (2025)

مصطلحات موضوعية: Construction progress monitoring, Rebar tying, Few-shot learning, Worker activity recognition, Computer vision, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S111001682401696X; https://doaj.org/toc/1110-0168

URL الوصول: https://doaj.org/article/c423fef79212483e92378462ef11b62e

المؤلفون: Seyed Mohamad Javidan, Yiannis Ampatzidis, Ahmad Banakar, Keyvan Asefpour Vakilian, Kamran Rahnama

المصدر: AgriEngineering, Vol 6, Iss 4, Pp 4233-4247 (2024)

مصطلحات موضوعية: cosine similarity, deep learning, few-shot learning, image processing, intelligent method, one-shot learning, Agriculture (General), S1-972, Engineering (General). Civil engineering (General), TA1-2040

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2624-7402/6/4/238; https://doaj.org/toc/2624-7402

URL الوصول: https://doaj.org/article/f67307f24ada488eab40508ffec56236

المؤلفون: Yulong Ji, Kunjin Zou, Bin Zou

المصدر: Cybersecurity, Vol 7, Iss 1, Pp 1-19 (2024)

مصطلحات موضوعية: Malware classification, Few-shot learning, Meta-learning, Data augmentation, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2523-3246

URL الوصول: https://doaj.org/article/a734a570de5544f5a5eadd8ca9c010b6

المؤلفون: Sandeep Kumar, Amit Sharma, Vikrant Shokeen, Ahmad Taher Azar, Syed Umar Amin, Zafar Iqbal Khan

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)

مصطلحات موضوعية: Deep learning, Few-shot learning, Incremental learning, Meta-learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/4b576478175e40a78d55f7f4e65df8df

المؤلفون: Yuan Tian, Yongquan Liang, Yufeng Chen, Lei Li, Hongyang Bian

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

مصطلحات موضوعية: Computer-Aided Diagnostic, Few-shot Learning, Multiple Windows and Feature Granularities Module, Miliary Tuberculosis with Tuberculous Meningitis, Chest CT Images, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/85a982be2f7c430da372486403affe77

المؤلفون: LI Yifei, ZHANG Lingling, DONG Yuxuan, WANG Jiaxin, ZHONG Yujie, WEI Bifan

المصدر: Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2326-2336 (2024)

مصطلحات موضوعية: large language model (llm), relation extraction, continual learning, few-shot learning, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2406056.pdf; https://doaj.org/toc/1673-9418

URL الوصول: https://doaj.org/article/84f6e43c102c45628198bcbcbfb881df