Journal articles on the topic 'Dataset noise'
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Jia, Qingrui, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, and Dejing Dou. "Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 7 (June 26, 2023): 8041–49. http://dx.doi.org/10.1609/aaai.v37i7.25972.
Jiang, Gaoxia, Jia Zhang, Xuefei Bai, Wenjian Wang, and Deyu Meng. "Which Is More Effective in Label Noise Cleaning, Correction or Filtering?" Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 11 (March 24, 2024): 12866–73. http://dx.doi.org/10.1609/aaai.v38i11.29183.
Fu, Bo, Xiangyi Zhang, Liyan Wang, Yonggong Ren, and Dang N. H. Thanh. "A blind medical image denoising method with noise generation network." Journal of X-Ray Science and Technology 30, no. 3 (April 15, 2022): 531–47. http://dx.doi.org/10.3233/xst-211098.
Choi, Hwiyong, Haesang Yang, Seungjun Lee, and Woojae Seong. "Classification of Inter-Floor Noise Type/Position Via Convolutional Neural Network-Based Supervised Learning." Applied Sciences 9, no. 18 (September 7, 2019): 3735. http://dx.doi.org/10.3390/app9183735.
Hossain, Sadat, and Bumshik Lee. "NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image Noise." Sensors 23, no. 1 (December 26, 2022): 251. http://dx.doi.org/10.3390/s23010251.
Zhang, Rui, Zhenghao Chen, Sanxing Zhang, Fei Song, Gang Zhang, Quancheng Zhou, and Tao Lei. "Remote Sensing Image Scene Classification with Noisy Label Distillation." Remote Sensing 12, no. 15 (July 24, 2020): 2376. http://dx.doi.org/10.3390/rs12152376.
Van Hulse, Jason, Taghi M. Khoshgoftaar, and Amri Napolitano. "Evaluating the Impact of Data Quality on Sampling." Journal of Information & Knowledge Management 10, no. 03 (September 2011): 225–45. http://dx.doi.org/10.1142/s021964921100295x.
Nogales, Alberto, Javier Caracuel-Cayuela, and Álvaro J. García-Tejedor. "Analyzing the Influence of Diverse Background Noises on Voice Transmission: A Deep Learning Approach to Noise Suppression." Applied Sciences 14, no. 2 (January 15, 2024): 740. http://dx.doi.org/10.3390/app14020740.
Kramberger, Tin, and Božidar Potočnik. "LSUN-Stanford Car Dataset: Enhancing Large-Scale Car Image Datasets Using Deep Learning for Usage in GAN Training." Applied Sciences 10, no. 14 (July 17, 2020): 4913. http://dx.doi.org/10.3390/app10144913.
Shi, Haoxiang, Jun Ai, Jingyu Liu, and Jiaxi Xu. "Improving Software Defect Prediction in Noisy Imbalanced Datasets." Applied Sciences 13, no. 18 (September 19, 2023): 10466. http://dx.doi.org/10.3390/app131810466.
Singha, Samir, and Syed Hassan. "ENHANCING THE CLASSIFICATION ACCURACY OF NOISY DATASET BY FUSING CORRELATION BASED FEATURE SELECTION WITH K-NEAREST NEIGHBOUR." Oriental journal of computer science and technology 10, no. 2 (May 15, 2017): 282–90. http://dx.doi.org/10.13005/ojcst/10.02.05.
FOLLECO, ANDRES, and TAGHI KHOSHGOFTAAR. "ATTRIBUTE NOISE DETECTION USING MULTI-RESOLUTION ANALYSIS." International Journal of Reliability, Quality and Safety Engineering 13, no. 03 (June 2006): 267–88. http://dx.doi.org/10.1142/s0218539306002252.
Li, Qiang, Ziqi Xie, and Lihong Wang. "Robust Subspace Clustering with Block Diagonal Representation for Noisy Image Datasets." Electronics 12, no. 5 (March 5, 2023): 1249. http://dx.doi.org/10.3390/electronics12051249.
Ihler, Sontje, and Felix Kuhnke. "AUC margin loss for limited, imbalanced and noisy medical image diagnosis – a case study on CheXpert5000." Current Directions in Biomedical Engineering 9, no. 1 (September 1, 2023): 658–61. http://dx.doi.org/10.1515/cdbme-2023-1165.
García-Mendoza, Juan-Luis, Luis Villaseñor-Pineda, Felipe Orihuela-Espina, and Lázaro Bustio-Martínez. "An autoencoder-based representation for noise reduction in distant supervision of relation extraction." Journal of Intelligent & Fuzzy Systems 42, no. 5 (March 31, 2022): 4523–29. http://dx.doi.org/10.3233/jifs-219241.
AL-Akhras, Mousa, Abdulmajeed Alshunaybir, Hani Omar, and Samah Alhazmi. "Botnet attacks detection in IoT environment using machine learning techniques." International Journal of Data and Network Science 7, no. 4 (2023): 1683–706. http://dx.doi.org/10.5267/j.ijdns.2023.7.021.
Lee, Yongju, Sungjun Jang, Han Byeol Bae, Taejae Jeon, and Sangyoun Lee. "Multitask Learning Strategy with Pseudo-Labeling: Face Recognition, Facial Landmark Detection, and Head Pose Estimation." Sensors 24, no. 10 (May 18, 2024): 3212. http://dx.doi.org/10.3390/s24103212.
Santiago-Chaparro, Kelvin R., and David A. Noyce. "Expanding the Capabilities of Radar-Based Vehicle Detection Systems: Noise Characterization and Removal Procedures." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 11 (June 10, 2019): 150–60. http://dx.doi.org/10.1177/0361198119852607.
Murakami, Reina, Valentin Grave, Osamu Fukuda, Hiroshi Okumura, and Nobuhiko Yamaguchi. "Improved Training of CAE-Based Defect Detectors Using Structural Noise." Applied Sciences 11, no. 24 (December 17, 2021): 12062. http://dx.doi.org/10.3390/app112412062.
Northcutt, Curtis, Lu Jiang, and Isaac Chuang. "Confident Learning: Estimating Uncertainty in Dataset Labels." Journal of Artificial Intelligence Research 70 (April 14, 2021): 1373–411. http://dx.doi.org/10.1613/jair.1.12125.
Wang, Zi-yang, Xiao-yi Luo, and Jun Liang. "A Label Noise Robust Stacked Auto-Encoder Algorithm for Inaccurate Supervised Classification Problems." Mathematical Problems in Engineering 2019 (May 14, 2019): 1–19. http://dx.doi.org/10.1155/2019/2182616.
Bhatia, Anshul, Anuradha Chug, Amit Prakash Singh, and Dinesh Singh. "A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction." Intelligent Data Analysis 26, no. 4 (July 11, 2022): 1023–49. http://dx.doi.org/10.3233/ida-216011.
Billa, Wagner S., Rogério G. Negri, and Leonardo B. L. Santos. "WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets." Eng 4, no. 4 (September 25, 2023): 2497–513. http://dx.doi.org/10.3390/eng4040142.
Sagarika, Namasani, Bommadi Sreenija Reddy, Vanka Varshitha, Kodavati Geetanjali, N. V. Ganapathi Raju, and Latha Kunaparaju. "Sarcasm Discernment on Social Media Platform." E3S Web of Conferences 309 (2021): 01037. http://dx.doi.org/10.1051/e3sconf/202130901037.
Guan, Qingji, Qinrun Chen, and Yaping Huang. "An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels." Algorithms 16, no. 5 (May 4, 2023): 239. http://dx.doi.org/10.3390/a16050239.
Zhao, Na, and Gim Hee Lee. "Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 15 (March 24, 2024): 16989–97. http://dx.doi.org/10.1609/aaai.v38i15.29642.
Xi, Mengfei, Jie Li, Zhilin He, Minmin Yu, and Fen Qin. "NRN-RSSEG: A Deep Neural Network Model for Combating Label Noise in Semantic Segmentation of Remote Sensing Images." Remote Sensing 15, no. 1 (December 25, 2022): 108. http://dx.doi.org/10.3390/rs15010108.
Oyewola, David Opeoluwa, Emmanuel Gbenga Dada, Sanjay Misra, and Robertas Damaševičius. "Predicting COVID-19 Cases in South Korea with All K-Edited Nearest Neighbors Noise Filter and Machine Learning Techniques." Information 12, no. 12 (December 19, 2021): 528. http://dx.doi.org/10.3390/info12120528.
Rasheed, Jawad, Ahmad B. Wardak, Adnan M. Abu-Mahfouz, Tariq Umer, Mirsat Yesiltepe, and Sadaf Waziry. "An Efficient Machine Learning-Based Model to Effectively Classify the Type of Noises in QR Code: A Hybrid Approach." Symmetry 14, no. 10 (October 8, 2022): 2098. http://dx.doi.org/10.3390/sym14102098.
Wang, Zixiao, Junwu Weng, Chun Yuan, and Jue Wang. "Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 3 (June 26, 2023): 2751–58. http://dx.doi.org/10.1609/aaai.v37i3.25375.
Moura, Kecia G., Ricardo B. C. Prudêncio, and George D. C. Cavalcanti. "Label noise detection under the noise at random model with ensemble filters." Intelligent Data Analysis 26, no. 5 (September 5, 2022): 1119–38. http://dx.doi.org/10.3233/ida-215980.
Singh, Abhishek, and Anil Kumar. "Introduction of Local Spatial Constraints and Local Similarity Estimation in Possibilistic c-Means Algorithm for Remotely Sensed Imagery." Journal of Modeling and Optimization 11, no. 1 (June 15, 2019): 51–56. http://dx.doi.org/10.32732/jmo.2019.11.1.51.
Akyel, Cihan, and Nursal Arıcı. "LinkNet-B7: Noise Removal and Lesion Segmentation in Images of Skin Cancer." Mathematics 10, no. 5 (February 25, 2022): 736. http://dx.doi.org/10.3390/math10050736.
Yi, Qian, Guixuan Zhang, and Shuwu Zhang. "Utilizing Entity-Based Gated Convolution and Multilevel Sentence Attention to Improve Distantly Supervised Relation Extraction." Computational Intelligence and Neuroscience 2021 (November 1, 2021): 1–10. http://dx.doi.org/10.1155/2021/6110885.
Yoo, Seok Bong, and Mikyong Han. "SCENet: Secondary Domain Intercorrelation Enhanced Network for Alleviating Compressed Poisson Noises." Sensors 19, no. 8 (April 25, 2019): 1939. http://dx.doi.org/10.3390/s19081939.
Guan, Donghai, Maqbool Hussain, Weiwei Yuan, Asad Masood Khattak, Muhammad Fahim, and Wajahat Ali Khan. "Enhanced Label Noise Filtering with Multiple Voting." Applied Sciences 9, no. 23 (November 21, 2019): 5031. http://dx.doi.org/10.3390/app9235031.
Delisle, J. B., N. Hara, and D. Ségransan. "Efficient modeling of correlated noise." Astronomy & Astrophysics 638 (June 2020): A95. http://dx.doi.org/10.1051/0004-6361/201936906.
Garg, Siddhant, Thuy Vu, and Alessandro Moschitti. "TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 7780–88. http://dx.doi.org/10.1609/aaai.v34i05.6282.
Cheng, Hu, Sophia Vinci-Booher, Jian Wang, Bradley Caron, Qiuting Wen, Sharlene Newman, and Franco Pestilli. "Denoising diffusion weighted imaging data using convolutional neural networks." PLOS ONE 17, no. 9 (September 15, 2022): e0274396. http://dx.doi.org/10.1371/journal.pone.0274396.
Xiong, Shuguang, Huitao Zhang, and Meng Wang. "Ensemble Model of Attention Mechanism-Based DCGAN and Autoencoder for Noised OCR Classification." Journal of Electronic & Information Systems 4, no. 1 (March 31, 2022): 33–41. http://dx.doi.org/10.30564/jeis.v4i1.6725.
Sineglazov, Victor, and Kyrylo Lesohorskyi. "On Noise Effect in Semi-supervised Learning." Electronics and Control Systems 1, no. 71 (June 27, 2022): 9–15. http://dx.doi.org/10.18372/1990-5548.71.16816.
Cao, Like, Jie Ling, and Xiaohui Xiao. "Study on the Influence of Image Noise on Monocular Feature-Based Visual SLAM Based on FFDNet." Sensors 20, no. 17 (August 31, 2020): 4922. http://dx.doi.org/10.3390/s20174922.
Hsieh, Ming-En, and Vincent Tseng. "Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 9 (May 18, 2021): 7771–79. http://dx.doi.org/10.1609/aaai.v35i9.16949.
Li, Gang, Jan Zrimec, Boyang Ji, Jun Geng, Johan Larsbrink, Aleksej Zelezniak, Jens Nielsen, and Martin KM Engqvist. "Performance of Regression Models as a Function of Experiment Noise." Bioinformatics and Biology Insights 15 (January 2021): 117793222110203. http://dx.doi.org/10.1177/11779322211020315.
Liu, Haiqing, Daoxing Li, and Yuancheng Li. "Confident sequence learning: A sequence class-label noise filtering technique to improve scene digit recognition." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 9345–59. http://dx.doi.org/10.3233/jifs-201825.
Oguntunde, Pelumi E., Hilary I. Okagbue, Omoleye A. Oguntunde, and Oluwole A. Odetunmibi. "A Study of Noise Pollution Measurements and Possible Effects on Public Health in Ota Metropolis, Nigeria." Open Access Macedonian Journal of Medical Sciences 7, no. 8 (April 29, 2019): 1391–95. http://dx.doi.org/10.3889/oamjms.2019.234.
Ziyadinov, Vadim, and Maxim Tereshonok. "Noise Immunity and Robustness Study of Image Recognition Using a Convolutional Neural Network." Sensors 22, no. 3 (February 6, 2022): 1241. http://dx.doi.org/10.3390/s22031241.
Zhou, Ping, Jin Lei Wang, Xian Kai Chen, and Guan Jun Zhang. "Membership Calculation Based on Dimension Hierarchical Division." Applied Mechanics and Materials 475-476 (December 2013): 312–17. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.312.
Chauhan, Neha, Tsuyoshi Isshiki, and Dongju Li. "Enhancing Speaker Recognition Models with Noise-Resilient Feature Optimization Strategies." Acoustics 6, no. 2 (May 14, 2024): 439–69. http://dx.doi.org/10.3390/acoustics6020024.
Youdale, Chris, Simon Shilton, and James Trow. "Impact of Ground Cover Dataset Selection on CNOSSOS-EU Calculated Levels." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (February 1, 2023): 4674–81. http://dx.doi.org/10.3397/in_2022_0676.