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Relevant bibliographies by topics / Limited label availability

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Academic literature on the topic 'Limited label availability'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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Journal articles on the topic "Limited label availability"

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Maiti, A., S. J. Oude Elberink, and G. Vosselman. "EFFECT OF LABEL NOISE IN SEMANTIC SEGMENTATION OF HIGH RESOLUTION AERIAL IMAGES AND HEIGHT DATA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 (May 17, 2022): 275–82. http://dx.doi.org/10.5194/isprs-annals-v-2-2022-275-2022.

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Abstract. The performance of deep learning models in semantic segmentation is dependent on the availability of a large amount of labeled data. However, the influence of label noise, in the form of incorrect annotations, on the performance is significant and mostly ignored. This is a big concern in remote sensing applications, wherein acquired datasets are spatially limited, labeling is done by domain experts with possible sources of high inter-and intra-observer variability leading to erroneous predictions. In this paper, we first simulate the label noise while conducting experiments on two di

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Hu, Han, Yang Lei, Daisy Xin, et al. "2D Label Free Microscopy Imaging Analysis Using Machine Learning." Electronic Imaging 2020, no. 14 (2020): 341–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.14.coimg-341.

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Separation and isolation of living cells plays an important role in the fields of medicine and biology with label-free imaging often used for isolating cells. The analysis of label-free cell images has many challenges when examining the behavior of cells. This paper presents methods to analyze label-free cells. Many of the tools we describe are based on machine learning approaches. We also investigate ways of augmenting limited availability of training data. Our results demonstrate that our proposed methods are capable of successfully segmenting and classifying label-free cells.

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Liu, Jun, Qianwen Zhang, Joseph Masabni, and Genhua Niu. "Low Nitrogen Availability in Organic Fertilizers Limited Organic Watermelon Transplant Growth." Horticulturae 10, no. 11 (2024): 1140. http://dx.doi.org/10.3390/horticulturae10111140.

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Fertilization guidelines for organic watermelon transplant production are rare. We investigated the effect of four commercial organic fertilizers and seven organic fertilizer blends, along with one conventional fertilizer (Peter’s Professional 20-20-20) on watermelon transplants. The four organic fertilizers were Nature Safe (fertilizer label: 7-7-7), Miracle-Gro (8-8-8), Dr. Earth fertilizer tea (4-4-4), and Drammatic (2-4-1). The seven blended organic fertilizers were created by supplementing Drammatic with nitrogen (N)-rich and/or potassium (K)-rich fertilizers to balance its N:phosphorus (

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Id, Ibnu Daqiqil, Pardomuan Robinson Sihombing, and Supratman Zakir. "Handling concept drifts and limited label problems using semi-supervised combine-merge Gaussian mixture model." Bulletin of Electrical Engineering and Informatics 10, no. 6 (2021): 3361–68. http://dx.doi.org/10.11591/eei.v10i6.3259.

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When predicting data streams, changes in data distribution may decrease model accuracy over time, thereby making the model obsolete. This phenomenon is known as concept drift. Detecting concept drifts and then adapting to them are critical operations to maintain model performance. However, model adaptation can only be made if labeled data is available. Labeling data is both costly and time-consuming because it has to be done by humans. Only part of the data can be labeled in the data stream because the data size is massive and appears at high speed. To solve these problems simultaneously, we a

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Griffiths, Melda, Jacky Boivin, Eryl Powell, and Lewis Bott. "Evaluating source credibility effects in health labelling using vending machines in a hospital setting." PLOS ONE 19, no. 2 (2024): e0296901. http://dx.doi.org/10.1371/journal.pone.0296901.

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Objectives Providing advice to consumers in the form of labelling may mitigate the increased availability and low cost of foods that contribute to the obesity problem. Our objective was to test whether making the source of the health advice on the label more credible makes labelling more effective. Methods and measures Vending machines in different locations were stocked with healthy and unhealthy products in a hospital. Healthy products were randomly assigned to one of three conditions (i) a control condition in which no labelling was present (ii) a low source credibility label, “Lighter choi

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Han, Yucheng, Na Zhao, Weiling Chen, Keng Teck Ma, and Hanwang Zhang. "Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object Detection." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 2049–57. http://dx.doi.org/10.1609/aaai.v38i3.27976.

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Semi-supervised 3D object detection is a promising yet under-explored direction to reduce data annotation costs, especially for cluttered indoor scenes. A few prior works, such as SESS and 3DIoUMatch, attempt to solve this task by utilizing a teacher model to generate pseudo-labels for unlabeled samples. However, the availability of unlabeled samples in the 3D domain is relatively limited compared to its 2D counterpart due to the greater effort required to collect 3D data. Moreover, the loose consistency regularization in SESS and restricted pseudo-label selection strategy in 3DIoUMatch lead t

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Zitzmann, Franziska D., Sabine Schmidt, and Heinz-Georg Jahnke. "Blick ins Innere: Analyse von 3D-Kulturen mittels Mikrokavitätenarrays." BIOspektrum 30, no. 4 (2024): 456–59. http://dx.doi.org/10.1007/s12268-024-2224-8.

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AbstractThree-dimensional cultures are a big step towards a more accurate mimicry of the in vivo environment. Given the limited availability of non-invasive analysis methods, especially beyond 2D cultures, we have developed a platform for multimodal bioelectronic monitoring in combination with our microcavity array technology for label-free real-time analysis of 3D cultures. This allows a wide range of cell-specific processes and drug responses to be studied with enhanced spatial resolution and in an automated setting.

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Ran, Shuhao, Gang Ma, Fudong Chi, Wei Zhou, and Yonghong Weng. "HPM-Match: A Generic Deep Learning Framework for Historical Landslide Identification Based on Hybrid Perturbation Mean Match." Remote Sensing 17, no. 1 (2025): 147. https://doi.org/10.3390/rs17010147.

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The scarcity of high-quality labeled data poses a challenge to the application of deep learning (DL) in landslide identification from remote sensing (RS) images. Semi-supervised learning (SSL) has emerged as a promising approach to address the issue of low accuracy caused by the limited availability of high-quality labels. Nevertheless, the application of SSL approaches developed for natural images to landslide identification encounters several challenges. This study focuses on two specific challenges: inadequate information extraction from limited unlabeled RS landslide images and the generat

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Ding, Chen, Yu Li, Yue Wen, et al. "Boosting Few-Shot Hyperspectral Image Classification Using Pseudo-Label Learning." Remote Sensing 13, no. 17 (2021): 3539. http://dx.doi.org/10.3390/rs13173539.

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Deep neural networks have underpinned much of the recent progress in the field of hyperspectral image (HSI) classification owing to their powerful ability to learn discriminative features. However, training a deep neural network often requires the availability of a large number of labeled samples to mitigate over-fitting, and these labeled samples are not always available in practical applications. To adapt the deep neural network-based HSI classification approach to cases in which only a very limited number of labeled samples (i.e., few or even only one labeled sample) are provided, we propos

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Roth, Myron. "The availability and use of chemotherapeutic sea lice control products." Contributions to Zoology 69, no. 1-2 (2000): 109–18. http://dx.doi.org/10.1163/18759866-0690102012.

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An international survey revealed that eleven compounds representing five pesticide types are currently being used on commercial salmon farms for sea lice control. These include two organophosphates (dichlorvos and azamethiphos); three pyrethrin/pyrethroid compounds (pyrethrum, cypermethrin, deltamethrin); one oxidizing agent (hydrogen peroxide); three avermectins (ivermectin, emamectin and doramectin) and two benzoylphenyl ureas (teflubenzuron and diflubenzuron). The number of compounds available in any one country is highly variable, ranging from 9 (Norway) to 6 (Chile, United Kingdom) to 4 (

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Dissertations / Theses on the topic "Limited label availability"

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GIOBERGIA, FLAVIO. "Machine learning with limited label availability: algorithms and applications." Doctoral thesis, Politecnico di Torino, 2023. https://hdl.handle.net/11583/2976594.

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Book chapters on the topic "Limited label availability"

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Breustedt, Niklas, Paolo Climaco, Jochen Garcke, et al. "On the Interplay of Subset Selection and Informed Graph Neural Networks." In Cognitive Technologies. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83097-6_10.

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Abstract Machine learning techniques paired with the availability of massive datasets dramatically enhance our ability to explore the chemical compound space by providing fast and accurate predictions of molecular properties. However, learning on large datasets is strongly limited by the availability of computational resources and can be infeasible in some scenarios. Moreover, the instances in the datasets may not yet be labelled and generating the labels can be costly, as in the case of quantum chemistry computations. Thus, there is a need to select small training subsets from large pools of

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Al-Mutairi, Abdulrahman, and Stephen D. Wolthusen. "A Security Analysis of MPLS Service Degradation Attacks Based on Restricted Adversary Models." In Information Security in Diverse Computing Environments. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6158-5.ch008.

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Whilst the security and integrity of exterior gateway protocols such as the Border Gateway Protocol (BGP) and, to a lesser extent, interior gateway protocols, including the Multi-Protocol Label Switching (MPLS), have been investigated previously, more limited attention has been paid to the problem of availability and timeliness that is crucial for service levels needed in critical infrastructure areas such as financial services and electric power (smart grid) networks. The authors describe a method for modeling adversaries for the analysis of attacks on quality of service characteristics under

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Himaja, D., T. Maruthi Padmaja, and P. Radha Krishna. "A Survey of Class Imbalance Problem on Evolving Data Stream." In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7371-6.ch002.

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Learning from data streams with both online class imbalance and concept drift (OCI-CD) is receiving much attention in today's world. Due to this problem, the performance is affected for the current models that learn from both stationary as well as non-stationary environments. In the case of non-stationary environments, due to the imbalance, it is hard to spot the concept drift using conventional drift detection methods that aim at tracking the change detection based on the learner's performance. There is limited work on the combined problem from imbalanced evolving streams both from stationary

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Conference papers on the topic "Limited label availability"

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Hao, Shuang, and Judith Su. "Single 5-nm particle photothermal microscopy with microtoroid optical resonators." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sf3b.2.

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Fluorescence detection suffers from limited fluorophore availability, bleaching, and blinking. We detect single 5-nm quantum dots with a signal-to-noise ratio of 104 using a label-free FLOWER based photothermal microscopy approach.

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Fung, Anthony A., Sanjay Jain, and Lingyan Shi. "Label-Free 3D Microscopy Platform Confirms and Uncovers Biomarkers of Kidney Nephropathy and Liver Cancer." In Microscopy Histopathology and Analytics. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/microscopy.2024.mw1a.4.

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Limited tissue availability makes multiplexed biomedical imaging a challenge due to spectral and chromatic overlap. Combining SRS, SHG, and TPF microscopies, we analyzed biomolecular and morphological biomarkers in diabetic kidney disease and liver cancer.

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Kath, Hannes, Thiago S. Gouvêa, and Daniel Sonntag. "A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/835.

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Deep learning methods are well suited for data analysis in several domains, but application is often limited by technical entry barriers and the availability of large annotated datasets. We present an interactive machine learning tool for annotating passive acoustic monitoring datasets created for wildlife monitoring, which are time-consuming and costly to annotate manually. The tool, designed as a web application, consists of an interactive user interface implementing a human-in-the-loop workflow. Class label annotations provided manually as bounding boxes drawn over a spectrogram are consume

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Daqaq, Mohammed F., Calvin Bradley, Nader Jalili, and Khaled Alhazza. "Feedback Delays for Ultrasensitive Sensing." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35088.

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Nanomechanical Cantilever Sensors (NMCS) have recently emerged as an effective means for label-free chemical and biological species detection. Their high selectivity, low cost, and easy mass production make them an enabling technology for micro- and nanodetection techniques. Sensitivity constitutes one of the most desirable characteristics of NMCS. However, sensitivity of current NMCS is predominately limited by their size. In other words, smaller sensors are more sensitive than larger ones. The detection of ultra-small masses or frequency variations is therefore obstructed by the availability

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Xu, Yang, Yifan Feng, and Yue Gao. "Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/166.

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The limited availability of supervised labels (positive information) poses a notable challenge for open-world retrieval. However, negative information is more easily obtained but remains underexploited in current methods. In this paper, we introduce the Negative Prompt Driven Complementary Parallel Representation (NPCP) framework, which navigates the complexities of open-world retrieval through the lens of Negative Prompts. Specifically, we employ the Parallel Exclusive Embedding (PEE) to effectively utilize the prompt information, bilaterally capturing both explicit negative and implicit posi

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Kozik, Natalia, Bartłomiej Kabaja, and Dainora Gedvilaitė. "Information availability and accessibility regarding ecological products offered in online stores – a case of retail chains." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005668.

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The global impact of increasing environmental pollution and the impending climate crisis are now becoming central concerns of modern-day societies at large. More than ever before, enterprises that introduce products to the market find themselves under pressure to take ecological actions and provide eco-friendly solutions. A large role is also played by consumers, whose everyday decision-making when selecting or buying products strongly affects the processes occurring on the market. However, for members of society to be able to make informed choices of products, they must be able to gain suffic

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Wang, Junzhe, Haorong Jing, Evren Ozbayoglu, Silvio Baldino, Danzhu Zheng, and Xiang Li. "Enhancing Well Kick Classification in Drilling Operations Using a Novel PCA-Based Machine Learning Approach." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0626.

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ABSTRACT: Early detection of kicks is imperative for ensuring efficient and safe drilling operations. Employing a data-driven approach for binary classification proves to be an effective method for differentiating between pre-kick and normal operational data. This research delves into the application of machine learning for well kick classification, critically addressing the challenge of model generalization. It proposes innovative solutions, including a novel PCA-based method, to overcome these hurdles. This study thoroughly examines the potential and obstacles in training models to achieve e

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Reports on the topic "Limited label availability"

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Langlais, Pierre-Carl. Bibliometrics. Comité pour la science ouverte, 2023. https://doi.org/10.52949/73.

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Bibliometrics is deeply transformed by open science. The unprecedented availability of bibliographic metadata, full text search and additional use metrics creates new opportunities for quantitative studies of scientific corpus. It also challenges the historical focus of bibliometrics on citation data from a few selected journals. New approaches aim to expand its scope to different uses and different publics, especially in regard to the social impact of research. As a field, bibliometrics has been strongly influenced by the first commercial infrastructure for academic publications. In the 1960s

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Zilberman, David, Amir Heiman, and Yanhong Jin. Use of Branding and Sampling in Agricultural Fresh Produce. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7697116.bard.

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The original proposal has three main objectives: a conceptual framework on willingness to pay (WTP) for fruits and vegetables, the introduction of branding and sampling in fresh food, and empirical applications to the United States and Israel. We modified our research plan over time based on availability of data and emergence of new problems. We expanded the range of products to include poultry and the range of techniques to use real experiments as well as more traditional surveys. We expanded the range of problems to understand attitudes toward genetically modified (GM) food. There is a growi

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