Academic literature on the topic 'Strongly supervised learning'
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Journal articles on the topic "Strongly supervised learning"
Lucas, Thomas, Philippe Weinzaepfel, and Gregory Rogez. "Barely-Supervised Learning: Semi-supervised Learning with Very Few Labeled Images." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 1881–89. http://dx.doi.org/10.1609/aaai.v36i2.20082.
Full textShe, Dongyu, Ming Sun, and Jufeng Yang. "Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs." ACM Transactions on Multimedia Computing, Communications, and Applications 15, no. 3s (January 22, 2020): 1–19. http://dx.doi.org/10.1145/3326335.
Full textPan, Junwen, Qi Bi, Yanzhan Yang, Pengfei Zhu, and Cheng Bian. "Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 2 (June 28, 2022): 2026–34. http://dx.doi.org/10.1609/aaai.v36i2.20098.
Full textGui, Haitian, Tao Su, Zhiyong Pang, Han Jiao, Lang Xiong, Xinhua Jiang, Li Li, and Zixin Wang. "Diagnosis of Breast Cancer with Strongly Supervised Deep Learning Neural Network." Electronics 11, no. 19 (September 22, 2022): 3003. http://dx.doi.org/10.3390/electronics11193003.
Full textKasihmuddin, Mohd Shareduwan Mohd, Siti Zulaikha Mohd Jamaludin, Mohd Asyraf Mansor, Habibah A. Wahab, and Siti Maisharah Sheikh Ghadzi. "Supervised Learning Perspective in Logic Mining." Mathematics 10, no. 6 (March 13, 2022): 915. http://dx.doi.org/10.3390/math10060915.
Full textMa, Jun, and Guolin Yu. "Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification." Symmetry 14, no. 6 (June 9, 2022): 1186. http://dx.doi.org/10.3390/sym14061186.
Full textLiu, Yuzhuo, Hangting Chen, Jian Wang, Pei Wang, and Pengyuan Zhang. "Confidence Learning for Semi-Supervised Acoustic Event Detection." Applied Sciences 11, no. 18 (September 15, 2021): 8581. http://dx.doi.org/10.3390/app11188581.
Full textShe, Dong-Yu, and Kun Xu. "Contrastive Self-supervised Representation Learning Using Synthetic Data." International Journal of Automation and Computing 18, no. 4 (May 11, 2021): 556–67. http://dx.doi.org/10.1007/s11633-021-1297-9.
Full textWaspada, Indra, Adi Wibowo, and Noel Segura Meraz. "SUPERVISED MACHINE LEARNING MODEL FOR MICRORNA EXPRESSION DATA IN CANCER." Jurnal Ilmu Komputer dan Informasi 10, no. 2 (June 30, 2017): 108. http://dx.doi.org/10.21609/jiki.v10i2.481.
Full textZhao, Zhen, Luping Zhou, Lei Wang, Yinghuan Shi, and Yang Gao. "LaSSL: Label-Guided Self-Training for Semi-supervised Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 9208–16. http://dx.doi.org/10.1609/aaai.v36i8.20907.
Full textDissertations / Theses on the topic "Strongly supervised learning"
Gardner, Angelica. "Stronger Together? An Ensemble of CNNs for Deepfakes Detection." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97643.
Full textMaicas, Suso Gabriel. "Pre-hoc and Post-hoc Diagnosis and Interpretation of Breast Magnetic Resonance Volumes." Thesis, 2018. http://hdl.handle.net/2440/120330.
Full textThesis (Ph.D.) -- University of Adelaide, School of Computer Science, 2018
Book chapters on the topic "Strongly supervised learning"
He, Qinyuan, and Hualong Yu. "Optimal Decision Threshold-Moving Strategy for Skewed Gaussian Naive Bayes Classifier." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 837–43. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_85.
Full textBatina, Lejla, Milena Djukanovic, Annelie Heuser, and Stjepan Picek. "It Started with Templates: The Future of Profiling in Side-Channel Analysis." In Security of Ubiquitous Computing Systems, 133–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-10591-4_8.
Full textLien, Yen-Chieh, Rongting Zhang, F. Maxwell Harper, Vanessa Murdock, and Chia-Jung Lee. "Leveraging Customer Reviews for E-commerce Query Generation." In Lecture Notes in Computer Science, 190–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99739-7_22.
Full textMarcher, Thomas, Georg Erharter, and Paul Unterlass. "Capabilities and Challenges Using Machine Learning in Tunnelling." In Theory and Practice on Tunnel Engineering [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97695.
Full textKhan, Muhammad Taimoor, and Shehzad Khalid. "Sentiment Analysis for Health Care." In Big Data, 676–89. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9840-6.ch031.
Full textAnderson, Raymond A. "Segmentation." In Credit Intelligence & Modelling, 687–704. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844194.003.0022.
Full textTeodor, Stefanut, Dorian Gorgan, Eleni Kaldoudi, Nikolas Dovrolis, and Stefan Dietze. "Creating Educational Resources for Medical Education in the Web2.0/Web3.0 Era." In Advances in Business Information Systems and Analytics, 275–94. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4062-7.ch015.
Full textSalhi, Dhai Eddine, Abelkamel Tari, and Mohand Tahar Kechadi. "Using E-Reputation for Sentiment Analysis." In Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines, 1384–400. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-6303-1.ch071.
Full textRahim, Rahila, Aamir S Ahanger, Sajad M Khan, and Faheem Masoodi. "Analysis of IDS using Feature Selection Approach on NSL-KDD Dataset." In SCRS CONFERENCE PROCEEDINGS ON INTELLIGENT SYSTEMS, 475–81. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-93-91842-08-6-45.
Full textConference papers on the topic "Strongly supervised learning"
Wang, Jiajie, Jiangchao Yao, Ya Zhang, and Rui Zhang. "Collaborative Learning for Weakly Supervised Object Detection." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/135.
Full textLiu, Meng, Nate Veldt, Haoyu Song, Pan Li, and David F. Gleich. "Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning." In WWW '21: The Web Conference 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3442381.3449887.
Full textWang, Yuhui, Xin Jin, and Xiaoyang Tan. "Pornographic image recognition by strongly-supervised deep multiple instance learning." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7533195.
Full textDu, Yu, Yongkang Wong, Wenguang Jin, Wentao Wei, Yu Hu, Mohan Kankanhalli, and Weidong Geng. "Semi-Supervised Learning for Surface EMG-based Gesture Recognition." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/225.
Full textPardo, Alejandro, Mengmeng Xu, Ali Thabet, Pablo Arbelaez, and Bernard Ghanem. "BAOD: Budget-Aware Object Detection." In LatinX in AI at Computer Vision and Pattern Recognition Conference 2021. Journal of LatinX in AI Research, 2021. http://dx.doi.org/10.52591/lxai202106254.
Full textLang, Xiao, Da Wu, and Wengang Mao. "Benchmark Study of Supervised Machine Learning Methods for a Ship Speed-Power Prediction at Sea." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-62395.
Full textPagé Fortin, Mathieu, and Brahim Chaib-draa. "Continual Semantic Segmentation Leveraging Image-level Labels and Rehearsal." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/177.
Full textWolff, Sascha, Jan-Simon Schäpel, and Rudibert King. "Application of Artificial Neural Networks for Misfiring Detection in an Annular Pulsed Detonation Combustor Mockup." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56007.
Full textHu, Yazhe, and Tomonari Furukawa. "A Self-Supervised Learning Technique for Road Defects Detection Based on Monocular Three-Dimensional Reconstruction." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98135.
Full textRahman, M. Shafiqur, Jonathan Ciaccio, and Uttam K. Chakravarty. "A Machine Learning Approach for Predicting Melt-Pool Dynamics of Ti-6Al-4V Alloy in the Laser Powder-Bed Fusion Process." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-71348.
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