Results 1 to 10 of about 8,510,788 (298)
A self-training subspace clustering algorithm based on adaptive confidence for gene expression data [PDF]
Frontiers in Genetics, 2023 Gene clustering is one of the important techniques to identify co-expressed gene groups from gene expression data, which provides a powerful tool for investigating functional relationships of genes in biological process.
Dan Li, Hongnan Liang, Pan Qin, Jia Wang
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SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition [PDF]
SensorsWe propose a self-training scheme, SURABHI, that trains deep-learning keypoint detection models on machine-annotated instances, together with the methodology to generate those instances.
Manu Ramesh, Amy R. Reibman
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DS-SIAUG: A Self-Training Approach Using a Disrupted Student Model for Enhanced Side-Scan Sonar Image Augmentation [PDF]
SensorsSide-scan sonar is a principal technique for subsea target detection, where the quantity of sonar images of seabed targets significantly influences the accuracy of intelligent target recognition.
Chengyang Peng +3 more
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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem [PDF]
SensorsAs global pork consumption rises, livestock farms increasingly adopt deep learning-based automated monitoring systems for efficient pigsty management. Typically, a system applies a pre-trained model on a source domain to a target domain.
Junhee Lee +7 more
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Self-Training with Weak Supervision [PDF]
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021 Accepted to NAACL 2021 (Long Paper)
Giannis Karamanolakis +3 more
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Discriminative Self-Training for Punctuation Prediction [PDF]
Interspeech 2021, 2021 Accepted by INTERSPEECH ...
Qian Chen 0003 +3 more
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L’incarnazione del ‘noi e loro’: l’esperienza fascista in un mondo traumatizzato
Ricerca Psicoanalitica, 2021 Questo articolo rappresenta un tentativo di dimostrare che ‘noi contro loro’, la relazione binaria che si trova al centro dell’esperienza fascista, è incarnata.
Jon Sletvold, Doris Brothers
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Advances in Neural Information Processing Systems 36, 2023 Self-training is an important technique for solving semi-supervised learning problems. It leverages unlabeled data by generating pseudo-labels and combining them with a limited labeled dataset for training. The effectiveness of self-training heavily relies on the accuracy of these pseudo-labels.
Banghua Zhu +6 more
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Frontiers in Psychology, 2022 The aim of this study was threefold: First, to examine the dimensionality of the construct of General Academic Ability (GAA) at the subscale level providing additional insights over and above on the conceptualization of the construct.
Ioannis Tsaousis +2 more
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