Articoli di riviste sul tema "Self-supervised learning (artificial intelligence)"
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Neghawi, Elie, e Yan Liu. "Enhancing Self-Supervised Learning through Explainable Artificial Intelligence Mechanisms: A Computational Analysis". Big Data and Cognitive Computing 8, n. 6 (3 giugno 2024): 58. http://dx.doi.org/10.3390/bdcc8060058.
Testo completoCHAN, JASON, IRENA KOPRINSKA e JOSIAH POON. "SEMI-SUPERVISED CLASSIFICATION USING BRIDGING". International Journal on Artificial Intelligence Tools 17, n. 03 (giugno 2008): 415–31. http://dx.doi.org/10.1142/s0218213008003972.
Testo completoYuya, KOBAYASHI, Masahiro SUZUKI e Yutaka MATSUO. "Scene Interpretation Method using Transformer and Self-supervised Learning". Transactions of the Japanese Society for Artificial Intelligence 37, n. 2 (1 marzo 2022): I—L75_1–17. http://dx.doi.org/10.1527/tjsai.37-2_i-l75.
Testo completoHrycej, Tomas. "Supporting supervised learning by self-organization". Neurocomputing 4, n. 1-2 (febbraio 1992): 17–30. http://dx.doi.org/10.1016/0925-2312(92)90040-v.
Testo completoWang, Fei, e Changshui Zhang. "Robust self-tuning semi-supervised learning". Neurocomputing 70, n. 16-18 (ottobre 2007): 2931–39. http://dx.doi.org/10.1016/j.neucom.2006.11.004.
Testo completoBiscione, Valerio, e Jeffrey S. Bowers. "Learning online visual invariances for novel objects via supervised and self-supervised training". Neural Networks 150 (giugno 2022): 222–36. http://dx.doi.org/10.1016/j.neunet.2022.02.017.
Testo completoMa, Jun, Yakun Wen e Liming Yang. "Lagrangian supervised and semi-supervised extreme learning machine". Applied Intelligence 49, n. 2 (25 agosto 2018): 303–18. http://dx.doi.org/10.1007/s10489-018-1273-4.
Testo completoChe, Feihu, Guohua Yang, Dawei Zhang, Jianhua Tao e Tong Liu. "Self-supervised graph representation learning via bootstrapping". Neurocomputing 456 (ottobre 2021): 88–96. http://dx.doi.org/10.1016/j.neucom.2021.03.123.
Testo completoGu, Nannan, Pengying Fan, Mingyu Fan e Di Wang. "Structure regularized self-paced learning for robust semi-supervised pattern classification". Neural Computing and Applications 31, n. 10 (19 aprile 2018): 6559–74. http://dx.doi.org/10.1007/s00521-018-3478-1.
Testo completoSaravana Kumar, N. M. "IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN IMPARTING EDUCATION AND EVALUATING STUDENT PERFORMANCE". Journal of Artificial Intelligence and Capsule Networks 01, n. 01 (2 settembre 2019): 1–9. http://dx.doi.org/10.36548/jaicn.2019.1.001.
Testo completoWei, Chen, Yiping Tang, Chuang Niu Chuang Niu, Haihong Hu, Yue Wang e Jimin Liang. "Self-Supervised Representation Learning for Evolutionary Neural Architecture Search". IEEE Computational Intelligence Magazine 16, n. 3 (agosto 2021): 33–49. http://dx.doi.org/10.1109/mci.2021.3084415.
Testo completoXi, Liang, Zichao Yun, Han Liu, Ruidong Wang, Xunhua Huang e Haoyi Fan. "Semi-supervised Time Series Classification Model with Self-supervised Learning". Engineering Applications of Artificial Intelligence 116 (novembre 2022): 105331. http://dx.doi.org/10.1016/j.engappai.2022.105331.
Testo completoSerey, Joel, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Rodrigo Ternero, Jorge Sabattin, Claudia Duran e Sebastian Gutierrez. "Artificial Intelligence Methodologies for Data Management". Symmetry 13, n. 11 (29 ottobre 2021): 2040. http://dx.doi.org/10.3390/sym13112040.
Testo completoKozhuharov, Mihail. "Artificial Intelligence: Basic Concepts". Педагогически форум 11, n. 4 (2023): 3–24. http://dx.doi.org/10.15547/pf.2023.023.
Testo completoTakama, Yasufumi. "Web Intelligence and Artificial Intelligence". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, n. 1 (20 gennaio 2017): 25–30. http://dx.doi.org/10.20965/jaciii.2017.p0025.
Testo completoLedziński, Łukasz, e Grzegorz Grześk. "Artificial Intelligence Technologies in Cardiology". Journal of Cardiovascular Development and Disease 10, n. 5 (6 maggio 2023): 202. http://dx.doi.org/10.3390/jcdd10050202.
Testo completoYamauchi, K., M. Oota e N. Ishii. "A self-supervised learning system for pattern recognition by sensory integration". Neural Networks 12, n. 10 (dicembre 1999): 1347–58. http://dx.doi.org/10.1016/s0893-6080(99)00064-7.
Testo completoDushkin, R. V. "Semantic Supervised Training for General Artificial Cognitive Agents". Siberian Journal of Philosophy 19, n. 2 (21 ottobre 2021): 51–64. http://dx.doi.org/10.25205/2541-7517-2021-19-2-51-64.
Testo completoFlorence, Peter, Lucas Manuelli e Russ Tedrake. "Self-Supervised Correspondence in Visuomotor Policy Learning". IEEE Robotics and Automation Letters 5, n. 2 (aprile 2020): 492–99. http://dx.doi.org/10.1109/lra.2019.2956365.
Testo completoPal, S. K., A. Pathak e C. Basu. "Dynamic guard zone for self-supervised learning". Pattern Recognition Letters 7, n. 3 (marzo 1988): 135–44. http://dx.doi.org/10.1016/0167-8655(88)90056-6.
Testo completoSoni, Kuldeep, Nidhi Pateria e Gulafsha Anjum. "Artificial Intelligence and Machine Learning in Sport Medicines". International Journal of Innovative Research in Computer and Communication Engineering 12, Special Is (25 marzo 2024): 69–73. http://dx.doi.org/10.15680/ijircce.2024.1203511.
Testo completoLi, Li, Kaiyi Zhao, Sicong Li, Ruizhi Sun e Saihua Cai. "Extreme Learning Machine for Supervised Classification with Self-paced Learning". Neural Processing Letters 52, n. 3 (14 giugno 2020): 1723–44. http://dx.doi.org/10.1007/s11063-020-10286-9.
Testo completoMiranda, Enrique, e Jordi Suñé. "Memristors for Neuromorphic Circuits and Artificial Intelligence Applications". Materials 13, n. 4 (20 febbraio 2020): 938. http://dx.doi.org/10.3390/ma13040938.
Testo completoMody, Rohit, Debabrata Dash e Deepanshu Mody. "Artificial intelligence in coronary physiology: where do we stand?" Journal of Transcatheter Interventions 30 (28 ottobre 2022): 1–9. http://dx.doi.org/10.31160/jotci202230a20220009.
Testo completoOkadome, Yuya, Kenshiro Ata, Hiroshi Ishiguro e Yutaka Nakamura. "Self-supervised Learning Method for Behavior Prediction during Dialogue Based on Temporal Consistency". Transactions of the Japanese Society for Artificial Intelligence 37, n. 6 (1 novembre 2022): B—M43_1–13. http://dx.doi.org/10.1527/tjsai.37-6_b-m43.
Testo completoBenavides-Prado, Diana, Yun Sing Koh e Patricia Riddle. "Towards Knowledgeable Supervised Lifelong Learning Systems". Journal of Artificial Intelligence Research 68 (8 maggio 2020): 159–224. http://dx.doi.org/10.1613/jair.1.11432.
Testo completoOkori, Washington, e Joseph Obua. "SUPERVISED LEARNING ALGORITHMS FOR FAMINE PREDICTION". Applied Artificial Intelligence 25, n. 9 (ottobre 2011): 822–35. http://dx.doi.org/10.1080/08839514.2011.611930.
Testo completoPoulos, Jason, e Rafael Valle. "Missing Data Imputation for Supervised Learning". Applied Artificial Intelligence 32, n. 2 (19 marzo 2018): 186–96. http://dx.doi.org/10.1080/08839514.2018.1448143.
Testo completoWeinlichová, Jana, e Jiří Fejfar. "Usage of self-organizing neural networks in evaluation of consumer behaviour". Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, n. 6 (2010): 625–32. http://dx.doi.org/10.11118/actaun201058060625.
Testo completoHashimoto, Daniel A., Elan Witkowski, Lei Gao, Ozanan Meireles e Guy Rosman. "Artificial Intelligence in Anesthesiology". Anesthesiology 132, n. 2 (1 febbraio 2020): 379–94. http://dx.doi.org/10.1097/aln.0000000000002960.
Testo completoLu, Keyu, Chengyi Zeng e Yonghu Zeng. "Self-supervised learning of monocular depth using quantized networks". Neurocomputing 488 (giugno 2022): 634–46. http://dx.doi.org/10.1016/j.neucom.2021.11.071.
Testo completoHou, Wenjie, Zheyun Qin, Xiaoming Xi, Xiankai Lu e Yilong Yin. "Learning disentangled representation for self-supervised video object segmentation". Neurocomputing 481 (aprile 2022): 270–80. http://dx.doi.org/10.1016/j.neucom.2022.01.066.
Testo completoChen, Long, Wen Tang, Tao Ruan Wan e Nigel W. John. "Self-supervised monocular image depth learning and confidence estimation". Neurocomputing 381 (marzo 2020): 272–81. http://dx.doi.org/10.1016/j.neucom.2019.11.038.
Testo completoAryal, Gopi. "Artificial intelligence in surgical pathology". Journal of Pathology of Nepal 9, n. 1 (2 aprile 2019): I. http://dx.doi.org/10.3126/jpn.v9i1.23444.
Testo completoXu, Rongge, Ruiyang Hao e Biqing Huang. "Efficient surface defect detection using self-supervised learning strategy and segmentation network". Advanced Engineering Informatics 52 (aprile 2022): 101566. http://dx.doi.org/10.1016/j.aei.2022.101566.
Testo completoLiu, Chicheng, Libin Song, Jiwen Zhang, Ken Chen e Jing Xu. "Self-Supervised Learning for Specified Latent Representation". IEEE Transactions on Fuzzy Systems 28, n. 1 (gennaio 2020): 47–59. http://dx.doi.org/10.1109/tfuzz.2019.2904237.
Testo completoPETROVIC, SMILJANA, e SUSAN L. EPSTEIN. "RANDOM SUBSETS SUPPORT LEARNING A MIXTURE OF HEURISTICS". International Journal on Artificial Intelligence Tools 17, n. 03 (giugno 2008): 501–20. http://dx.doi.org/10.1142/s0218213008004023.
Testo completoXu, Ke, Guoqiang Zhong, Zhaoyang Deng, Kang Zhang e Kaizhu Huang. "Self-supervised generative learning for sequential data prediction". Applied Intelligence, 20 aprile 2023. http://dx.doi.org/10.1007/s10489-023-04578-5.
Testo completo"Artificial Intelligence Methodologies for Supervised Learning". International Journal of Advanced Research in Big Data Management System 3, n. 1 (30 maggio 2019). http://dx.doi.org/10.21742/ijarbms.2019.3.1.03.
Testo completoLi, Simou, Yuxing Mao, Jian Li, Yihang Xu, Jinsen Li, Xueshuo Chen, Siyang Liu e Xianping Zhao. "FedUTN: federated self-supervised learning with updating target network". Applied Intelligence, 26 agosto 2022. http://dx.doi.org/10.1007/s10489-022-04070-6.
Testo completoKim, Sangwon, Jimi Lee e Byoung Chul Ko. "SSL-MOT: self-supervised learning based multi-object tracking". Applied Intelligence, 22 aprile 2022. http://dx.doi.org/10.1007/s10489-022-03473-9.
Testo completoWang, Zhipeng, Chunping Hou, Guanghui Yue e Qingyuan Yang. "Dynamic-boosting attention for self-supervised video representation learning". Applied Intelligence, 1 luglio 2021. http://dx.doi.org/10.1007/s10489-021-02440-0.
Testo completoHafez, Muhammad Burhan, e Stefan Wermter. "Continual Robot Learning Using Self-Supervised Task Inference". IEEE Transactions on Cognitive and Developmental Systems, 2023, 1. http://dx.doi.org/10.1109/tcds.2023.3315513.
Testo completoWang, Jing, Jun Wu, Caiyan Jia e Zhifei Zhang. "Self-supervised variational autoencoder towards recommendation by nested contrastive learning". Applied Intelligence, 14 febbraio 2023. http://dx.doi.org/10.1007/s10489-023-04488-6.
Testo completoLi, Jinlong, Zequn Jie, Xu Wang, Yu Zhou, Lin Ma e Jianmin Jiang. "Weakly supervised semantic segmentation via self-supervised destruction learning". Neurocomputing, settembre 2023, 126821. http://dx.doi.org/10.1016/j.neucom.2023.126821.
Testo completoLiu, Jiabin, Biao Li, Minglong Lei e Yong Shi. "Self-supervised knowledge distillation for complementary label learning". Neural Networks, agosto 2022. http://dx.doi.org/10.1016/j.neunet.2022.08.014.
Testo completoHuang, Lang, Chao Zhang e Hongyang Zhang. "Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning". IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 1–17. http://dx.doi.org/10.1109/tpami.2022.3217792.
Testo completoRafiei, Mohammad H., Lynne V. Gauthier, Hojjat Adeli e Daniel Takabi. "Self-Supervised Learning for Electroencephalography". IEEE Transactions on Neural Networks and Learning Systems, 2022, 1–15. http://dx.doi.org/10.1109/tnnls.2022.3190448.
Testo completoYe, Fei, e Adrian G. Bors. "Self-supervised adversarial variational learning". Pattern Recognition, novembre 2023, 110156. http://dx.doi.org/10.1016/j.patcog.2023.110156.
Testo completoVerleysen, Andreas, Matthijs Biondina e Francis wyffels. "Learning self-supervised task progression metrics: a case of cloth folding". Applied Intelligence, 2 maggio 2022. http://dx.doi.org/10.1007/s10489-022-03466-8.
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