Artículos de revistas sobre el tema "TRANSFER LEARNING APPROACH"
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Durgut, Rafet, Mehmet Emin Aydin y Abdur Rakib. "Transfer Learning for Operator Selection: A Reinforcement Learning Approach". Algorithms 15, n.º 1 (17 de enero de 2022): 24. http://dx.doi.org/10.3390/a15010024.
Texto completoZhao, Peng, Guoqin Wu, Sheng Yao y HuiTing Liu. "A Transductive Transfer Learning Approach Based on Manifold Learning". Computing in Science & Engineering 22, n.º 1 (1 de enero de 2020): 77–87. http://dx.doi.org/10.1109/mcse.2018.2882699.
Texto completoMishra, Bishwas y Abhishek Samanta. "Quantum Transfer Learning Approach for Deepfake Detection". Sparklinglight Transactions on Artificial Intelligence and Quantum Computing 02, n.º 01 (2022): 17–27. http://dx.doi.org/10.55011/staiqc.2022.2103.
Texto completoHuang, Shuai, Jing Li, Kewei Chen, Teresa Wu, Jieping Ye, Xia Wu y Li Yao. "A transfer learning approach for network modeling". IIE Transactions 44, n.º 11 (2 de enero de 2012): 915–31. http://dx.doi.org/10.1080/0740817x.2011.649390.
Texto completoRaza, Noman, Asma Naseer, Maria Tamoor y Kashif Zafar. "Alzheimer Disease Classification through Transfer Learning Approach". Diagnostics 13, n.º 4 (20 de febrero de 2023): 801. http://dx.doi.org/10.3390/diagnostics13040801.
Texto completoCao, Bin, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung y Qiang Yang. "Adaptive Transfer Learning". Proceedings of the AAAI Conference on Artificial Intelligence 24, n.º 1 (3 de julio de 2010): 407–12. http://dx.doi.org/10.1609/aaai.v24i1.7682.
Texto completoRani, Rajneesh y Harpreet Singh. "Fingerprint Presentation Attack Detection Using Transfer Learning Approach". International Journal of Intelligent Information Technologies 17, n.º 1 (enero de 2021): 53–67. http://dx.doi.org/10.4018/ijiit.2021010104.
Texto completoAswathi, T., T. R. Swapna y S. Padmavathi. "Transfer Learning approach for grading of Diabetic Retinopathy". Journal of Physics: Conference Series 1767, n.º 1 (1 de febrero de 2021): 012033. http://dx.doi.org/10.1088/1742-6596/1767/1/012033.
Texto completoOh, YongKyung, Namu Kim y Sungil Kim. "Transfer Learning based Approach for Mixture Gas Classification". Journal of the Korean Institute of Industrial Engineers 47, n.º 2 (30 de abril de 2021): 144–59. http://dx.doi.org/10.7232/jkiie.2021.47.2.144.
Texto completoCvetkovic, Stevica, Nemanja Savic y Ivan Ciric. "Deep Transfer Learning Approach for Robust Hand Detection". Intelligent Automation & Soft Computing 36, n.º 1 (2023): 967–79. http://dx.doi.org/10.32604/iasc.2023.032526.
Texto completoAbdulazeem, Yousry, Hossam Magdy Balaha, Waleed M. Bahgat y Mahmoud Badawy. "Human Action Recognition Based on Transfer Learning Approach". IEEE Access 9 (2021): 82058–69. http://dx.doi.org/10.1109/access.2021.3086668.
Texto completoHien, Ngo Le Huy, Luu Van Huy y Nguyen Van Hieu. "Artwork style transfer model using deep learning approach". Cybernetics and Physics, Volume 10, 2021, Number 3 (30 de octubre de 2021): 127–37. http://dx.doi.org/10.35470/2226-4116-2021-10-3-127-137.
Texto completoStegmann, Patrick G., Benjamin Johnson, Isaac Moradi, Bryan Karpowicz y Will McCarty. "A deep learning approach to fast radiative transfer". Journal of Quantitative Spectroscopy and Radiative Transfer 280 (abril de 2022): 108088. http://dx.doi.org/10.1016/j.jqsrt.2022.108088.
Texto completoMathew, Alwyn, Jimson Mathew, Mahesh Govind y Asif Mooppan. "An Improved Transfer learning Approach for Intrusion Detection". Procedia Computer Science 115 (2017): 251–57. http://dx.doi.org/10.1016/j.procs.2017.09.132.
Texto completoWang, Danshi, Yilan Xu, Jianqiang Li, Min Zhang, Jin Li, Jun Qin, Cheng Ju, Zhiguo Zhang y Xue Chen. "Comprehensive Eye Diagram Analysis: A Transfer Learning Approach". IEEE Photonics Journal 11, n.º 6 (diciembre de 2019): 1–19. http://dx.doi.org/10.1109/jphot.2019.2947705.
Texto completoShi, Jihao, Weikang Xie, Junjie Li, Xinqi Zhang, Xinyan Huang, Asif Sohail Usmani, Faisal Khan y Guoming Chen. "Real-time plume tracking using transfer learning approach". Computers & Chemical Engineering 172 (abril de 2023): 108172. http://dx.doi.org/10.1016/j.compchemeng.2023.108172.
Texto completoShirahatti, Abhinandan, Vijay Rajpurohit y Sanjeev Sannakki. "Fine grained irony classification through transfer learning approach". Computer Science and Information Technologies 4, n.º 1 (1 de marzo de 2023): 43–49. http://dx.doi.org/10.11591/csit.v4i1.p43-49.
Texto completoTrinh, Van Hai, Johann Guilleminot, Camille Perrot y Viet Dung Vu. "Learning acoustic responses from experiments: A multiscale-informed transfer learning approach". Journal of the Acoustical Society of America 151, n.º 4 (abril de 2022): 2587–601. http://dx.doi.org/10.1121/10.0010187.
Texto completoHan, Kaixu, Jinxin He, Yongzhi Wang, Yue Xiong y Chi Zhang. "An Image Classification Approach based on Deep Learning and Transfer Learning". IOP Conference Series: Materials Science and Engineering 768 (31 de marzo de 2020): 072055. http://dx.doi.org/10.1088/1757-899x/768/7/072055.
Texto completoLeimbach, Michael. "Learning transfer model: a research‐driven approach to enhancing learning effectiveness". Industrial and Commercial Training 42, n.º 2 (16 de marzo de 2010): 81–86. http://dx.doi.org/10.1108/00197851011026063.
Texto completoRenta-Davids, Ana-Inés, José-Miguel Jiménez-González, Manel Fandos-Garrido y Ángel-Pío González-Soto. "Transfer of learning". European Journal of Training and Development 38, n.º 8 (27 de agosto de 2014): 728–44. http://dx.doi.org/10.1108/ejtd-03-2014-0026.
Texto completoDavis, Jesse y Pedro Domingos. "Deep Transfer: A Markov Logic Approach". AI Magazine 32, n.º 1 (16 de marzo de 2011): 51. http://dx.doi.org/10.1609/aimag.v32i1.2330.
Texto completoZhu, Fei, Quan Liu, Hui Wang, Xiaoke Zhou y Yuchen Fu. "Unregistered Biological Words Recognition by Q-Learning with Transfer Learning". Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/173290.
Texto completoMat Said, Noor Azura, Siti Mariam Bujang, Nor Aishah Buang, Harlina Harlizah Siraj @ Ramli y Mohd Nasri Awang Besar. "CONCEPTUALIZING CRITICAL THINKING LEARNING TRANSFER MODEL: A QUALITATIVE APPROACH". Malaysian Journal of Learning and Instruction 18, Number 1 (31 de enero de 2021): 111–30. http://dx.doi.org/10.32890/mjli2021.18.1.5.
Texto completoAli, W. y S. Kolyubin. "EMG-Based Grasping Force Estimation for Robot Skill Transfer Learning". Nelineinaya Dinamika 18, n.º 5 (2022): 0. http://dx.doi.org/10.20537/nd221221.
Texto completoEshratifar, Amir Erfan, Mohammad Saeed Abrishami, David Eigen y Massoud Pedram. "A Meta-Learning Approach for Custom Model Training". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 9937–38. http://dx.doi.org/10.1609/aaai.v33i01.33019937.
Texto completoBraylan, Alexander y Risto Miikkulainen. "Object-Model Transfer in the General Video Game Domain". Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 12, n.º 1 (25 de junio de 2021): 136–42. http://dx.doi.org/10.1609/aiide.v12i1.12870.
Texto completoKiranov, Dmitry Maratovich, Maxim Alexeevitch Ryndin y Ilya Sergeevich Kozlov. "Active learning and transfer learning for document segmentation". Proceedings of the Institute for System Programming of the RAS 33, n.º 6 (2021): 205–16. http://dx.doi.org/10.15514/ispras-2021-33(6)-14.
Texto completoShapiee, Muhammad Nur Aiman, Muhammad Ar Rahim Ibrahim, Muhammad Amirul Abdullah, Rabiu Muazu Musa, Noor Azuan Abu Osman, Anwar P.P Abdul Majeed y Mohd Azraai Mohd Razman. "The Classification of Skateboarding Tricks : A Transfer Learning and Machine Learning Approach". MEKATRONIKA 2, n.º 2 (27 de octubre de 2020): 1–12. http://dx.doi.org/10.15282/mekatronika.v2i2.6683.
Texto completoYe, Zhuyifan, Yilong Yang, Xiaoshan Li, Dongsheng Cao y Defang Ouyang. "An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction". Molecular Pharmaceutics 16, n.º 2 (20 de diciembre de 2018): 533–41. http://dx.doi.org/10.1021/acs.molpharmaceut.8b00816.
Texto completoDyatlova, Olga V., Igor A. Elman y Roman I. Krivonogov. "Transfer of learning: approaches to definition and applicability in adaptive learning". Yaroslavl Pedagogical Bulletin 5, n.º 122 (2021): 185–94. http://dx.doi.org/10.20323/1813-145x-2021-5-122-185-194.
Texto completoBarlas, Georgios y Efstathios Stamatatos. "A transfer learning approach to cross-domain authorship attribution". Evolving Systems 12, n.º 3 (9 de abril de 2021): 625–43. http://dx.doi.org/10.1007/s12530-021-09377-2.
Texto completoKakde, Aditya, Durgansh Sharma y Nitin Arora. "Optimal Classification of COVID-19: A Transfer Learning Approach". International Journal of Computer Applications 176, n.º 20 (15 de mayo de 2020): 25–31. http://dx.doi.org/10.5120/ijca2020920165.
Texto completoYang, Yuting y Gang Mei. "Deep Transfer Learning Approach for Identifying Slope Surface Cracks". Applied Sciences 11, n.º 23 (25 de noviembre de 2021): 11193. http://dx.doi.org/10.3390/app112311193.
Texto completoS. Alrumiah, Sarah y Amal A. Al-Shargabi. "A Transfer Learning-Based Approach to Detect Cerebral Microbleeds". Computers, Materials & Continua 71, n.º 1 (2022): 1903–23. http://dx.doi.org/10.32604/cmc.2022.021930.
Texto completoDhanapriya, B. "Diverse Approach on Image Categorization Using Transfer Learning Methods". International Journal for Research in Applied Science and Engineering Technology 10, n.º 1 (31 de enero de 2022): 1209–15. http://dx.doi.org/10.22214/ijraset.2022.40033.
Texto completoMa, Yuxin, Jiayi Xu, Xiangyang Wu, Fei Wang y Wei Chen. "A visual analytical approach for transfer learning in classification". Information Sciences 390 (junio de 2017): 54–69. http://dx.doi.org/10.1016/j.ins.2016.03.021.
Texto completoHATTAB, Abdessalam y Ali BEHLOUL. "A Robust Iris Recognition Approach Based on Transfer Learning". International Journal of Computing and Digital Systems 13, n.º 1 (16 de abril de 2023): 1065–80. http://dx.doi.org/10.12785/ijcds/130186.
Texto completoYoon, Jeonghyeon, Jisoo Oh y Seungku Kim. "Transfer Learning Approach for Indoor Localization with Small Datasets". Remote Sensing 15, n.º 8 (17 de abril de 2023): 2122. http://dx.doi.org/10.3390/rs15082122.
Texto completoJain, Ayushi. "A Transfer Learning-based Approach for Multimodal Emotion Recognition". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, n.º 3 (15 de diciembre de 2020): 2001–9. http://dx.doi.org/10.17762/turcomat.v11i3.13597.
Texto completoBinfeng, Yu y Ji Haibo. "Near-infrared calibration transfer via support vector machine and transfer learning". Analytical Methods 7, n.º 6 (2015): 2714–25. http://dx.doi.org/10.1039/c4ay02462a.
Texto completoNguyen Duc, Tho, Chanh Minh Tran, Nguyen Gia Bach, Phan Xuan Tan y Eiji Kamioka. "Repetition-Based Approach for Task Adaptation in Imitation Learning". Sensors 22, n.º 18 (14 de septiembre de 2022): 6959. http://dx.doi.org/10.3390/s22186959.
Texto completoMia, Md Jueal, Syeda Khadizatul Maria, Shahrun Siddique Taki y Al Amin Biswas. "Cucumber disease recognition using machine learning and transfer learning". Bulletin of Electrical Engineering and Informatics 10, n.º 6 (1 de diciembre de 2021): 3432–43. http://dx.doi.org/10.11591/eei.v10i6.3096.
Texto completoBokade, Aarti y Ankit Shah. "Breast Cancer Diagnosis in Mammography Images Using Deep Convolutional Neural Network-Based Transfer and Scratch Learning Approach". Indian Journal Of Science And Technology 16, n.º 18 (9 de mayo de 2023): 1385–94. http://dx.doi.org/10.17485/ijst/v16i18.39.
Texto completoTeo, Christopher T. H., Milad Abdollahzadeh y Ngai-Man Cheung. "Fair Generative Models via Transfer Learning". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junio de 2023): 2429–37. http://dx.doi.org/10.1609/aaai.v37i2.25339.
Texto completoLuo, Aoning, Yuanjia Feng, Chunyan Zhu, Yipei Wang y Xiaoqin Wu. "Transfer Learning for Modeling Plasmonic Nanowire Waveguides". Nanomaterials 12, n.º 20 (16 de octubre de 2022): 3624. http://dx.doi.org/10.3390/nano12203624.
Texto completoĆwiklinski, Bartosz, Agata Giełczyk y Michał Choraś. "Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers". Entropy 23, n.º 1 (10 de enero de 2021): 90. http://dx.doi.org/10.3390/e23010090.
Texto completoĆwiklinski, Bartosz, Agata Giełczyk y Michał Choraś. "Who Will Score? A Machine Learning Approach to Supporting Football Team Building and Transfers". Entropy 23, n.º 1 (10 de enero de 2021): 90. http://dx.doi.org/10.3390/e23010090.
Texto completoInsani, Istyadi, Jumadil Saputra y Hardi Warsono. "The Factors that Influence Job Transfer and Its Impact on Organizational Performance: Mini-Review Approach". Journal of Madani Society 1, n.º 1 (30 de abril de 2022): 34–58. http://dx.doi.org/10.56225/jmsc.v1i1.127.
Texto completoCuzzocrea, Alfredo, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai, Fan Jiang y Edoardo Fadda. "A Combined Deep-Learning and Transfer-Learning Approach for Supporting Social Influence Prediction". Procedia Computer Science 177 (2020): 170–77. http://dx.doi.org/10.1016/j.procs.2020.10.025.
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