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