• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 143 matches

• 2025
• 
  Jini Yang, Minjung Yoo, Jaehoon Cho, Sunok Kim:
  Learning confidence measure with transformer in stereo matching. Pattern Recognit. 157: 110876 (2025)
• 2024
• 
  Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu:
  ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access 12: 58519-58531 (2024)
• 
  Mijanur Rahaman Seikh, Prayosi Chatterjee:
  Evaluation and selection of E-learning websites using intuitionistic fuzzy confidence level based Dombi aggregation operators with unknown weight information. Appl. Soft Comput. 163: 111850 (2024)
• 
  Zhewei Xu, Mizuho Iwaihara:
  Confidence-Driven Contrastive Learning for Document Classification without Annotated Data. IEICE Trans. Inf. Syst. 107(8): 1029-1039 (2024)
• 
  Wenhao Jiang, Yuebin Bai:
  SGCL: Semi-supervised Graph Contrastive Learning with confidence propagation algorithm for node classification. Knowl. Based Syst. 301: 112271 (2024)
• 
  Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang:
  Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179: 106513 (2024)
• 
  Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie:
  BALQUE: Batch active learning by querying unstable examples with calibrated confidence. Pattern Recognit. 151: 110385 (2024)
• 
  Xizhou Bu, Wenjuan Li, Zhengxiong Liu, Zhiqiang Ma, Panfeng Huang:
  Aligning Human Intent From Imperfect Demonstrations With Confidence-Based Inverse Soft-Q Learning. IEEE Robotics Autom. Lett. 9(8): 7150-7157 (2024)
• 
  Yi Xin, Zide Fan, Xiyu Qi, Yidan Zhang, Xinming Li:
  Confidence-Weighted Dual-Teacher Networks With Biased Contrastive Learning for Semi-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024)
• 
  Zdenek Novak:
  Confidence Weighted Learning Entropy for Fault-Tolerant Control of a PMSM With a High-Resolution Hall Encoder. IEEE Trans. Ind. Electron. 71(5): 5176-5186 (2024)
• 
  Wanru Peng, Houjin Chen, Yanfeng Li, Jia Sun:
  MCFR: multi-confidence contrastive learning with feature refined for unsupervised person re-identification. Vis. Comput. 40(3): 1853-1866 (2024)
• 
  Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García:
  Learning Confidence Bounds for Classification with Imbalanced Data. ECAI 2024: 1776-1783
• 
  Seoyeon Park, Cornelia Caragea:
  VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp. EMNLP 2024: 19319-19335
• 
  Jinhe Long, Zekai Chen, Fuyi Wang, Jianping Cai, Ximeng Liu:
  FedCL: Detecting Backdoor Attacks in Federated Learning with Confidence Levels. ICME 2024: 1-6
• 
  Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
  Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. IJCNN 2024: 1-8
• 
  Biraja Ghoshal, William Woof, Bernardo Mendes, Saoud Al-Khuzaei, Thales Antonio Cabral De Guimaraes, Malena Daich Varela, Yichen Liu, Sagnik Sen, Siying Lin, Mital Shah, Yu Fujinami-Yokokawa, Andrew R. Webster, Omar A. Mahroo, Kaoru Fujinami, Frank G. Holz, Philipp Herrmann, Juliana Sallum, Konstantinos Balaskas, Savita Madhusudhan, Susan M. Downes, Michel Michaelides, Nikolas Pontikos:
  Making Deep Learning Models Clinically Useful - Improving Diagnostic Confidence in Inherited Retinal Disease with Conformal Prediction. UNSURE@MICCAI 2024: 47-58
• 
  Xueqing Liu, Kyra Gan, Esmaeil Keyvanshokooh, Susan A. Murphy:
  Online Uniform Risk Times Sampling: First Approximation Algorithms, Learning Augmentation with Full Confidence Interval Integration. CoRR abs/2402.01995 (2024)
• 
  Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar:
  Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception. CoRR abs/2403.08185 (2024)
• 
  Masahito Toba, Seiichi Uchida, Hideaki Hayashi:
  Pseudo-label Learning with Calibrated Confidence Using an Energy-based Model. CoRR abs/2404.09585 (2024)
• 
  Matthew Clifford, Jonathan Erskine, Alexander Hepburn, Raúl Santos-Rodríguez, Dario García-García:
  Learning Confidence Bounds for Classification with Imbalanced Data. CoRR abs/2407.11878 (2024)
• 
  Matthew J. Lynch, Ryan Jacobs, Gabriella Bruno, Priyam Patki, Dane Morgan, Kevin G. Field:
  Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring. CoRR abs/2408.01558 (2024)
• 
  Lachlan McGinness, Peter Baumgartner:
  CON-FOLD - Explainable Machine Learning with Confidence. CoRR abs/2408.07854 (2024)
• 
  Rasoul Jafari Gohari, Laya Aliahmadipour, Ezat Valipour:
  TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering. CoRR abs/2409.10392 (2024)
• 
  Sjoerd de Vries, Dirk Thierens:
  Learning with Confidence: Training Better Classifiers from Soft Labels. CoRR abs/2409.16071 (2024)
• 2023
• 
  Anas Domyati, Qurban A. Memon:
  Machine Learning Based Improved Heart Disease Detection with Confidence. Int. J. Online Biomed. Eng. 19(8): 130-143 (2023)
• 
  Xin Gao, Zhihang Meng, Xin Jia, Jing Liu, Xinping Diao, Bing Xue, Zijian Huang, Kangsheng Li:
  An imbalanced binary classification method based on contrastive learning using multi-label confidence comparisons within sample-neighbors pair. Neurocomputing 517: 148-164 (2023)
• 
  M. J. Jeyasheela Rakkini, K. Geetha:
  Deep learning classification of bitcoin miners and exploration of upper confidence bound algorithm with less regret for the selection of honest mining. J. Ambient Intell. Humaniz. Comput. 14(6): 6545-6561 (2023)
• 
  Soumia Mehimeh, Xianglong Tang, Wei Zhao:
  Value function optimistic initialization with uncertainty and confidence awareness in lifelong reinforcement learning. Knowl. Based Syst. 280: 111036 (2023)
• 
  Rui Chen, Isabella Liu, Edward Yang, Jianyu Tao, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Jing Xu, Hao Su:
  ActiveZero++: Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14098-14113 (2023)
• 
  Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
  LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. 133: 109013 (2023)

skipping 113 more matches