Relevant bibliographies by topics / Semi-supervision

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Semi-supervision'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Semi-supervision"

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Dexl, Jakob, Michaela Benz, Petr Kuritcyn, et al. "Robust Colon Tissue Cartography with Semi-Supervision." Current Directions in Biomedical Engineering 8, no. 2 (2022): 344–47. http://dx.doi.org/10.1515/cdbme-2022-1088.

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Abstract We explore the task of tissue classification for colon cancer histology in a low label regime comparing a semi-supervised and a supervised learning strategy in a series of experiments. Further, we investigate the model robustness w.r.t. distribution shifts in the unlabeled data and domain shifts across different scanners to prove their practicality in a histology context. By utilizing unlabeled data in addition to nl = 1000 labeled tiles per class, we yield a substantial increase in accuracy from 89.9% to 91.4%.
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Li, Yanchao, Yongli Wang, Dong-Jun Yu, Ning Ye, Peng Hu, and Ruxin Zhao. "ASCENT: Active Supervision for Semi-Supervised Learning." IEEE Transactions on Knowledge and Data Engineering 32, no. 5 (2020): 868–82. http://dx.doi.org/10.1109/tkde.2019.2897307.

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Huh, Myung-Hoe, SeongKeun Yi, and Yonggoo Lee. "Revising K-Means Clustering under Semi-Supervision." Communications for Statistical Applications and Methods 12, no. 2 (2005): 531–38. http://dx.doi.org/10.5351/ckss.2005.12.2.531.

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Shi, Xupeng, Shaozhi Wang, and Xiao Tan. "Text Detection in Trademark Images under Semi-Supervision." Journal of Physics: Conference Series 1873, no. 1 (2021): 012014. http://dx.doi.org/10.1088/1742-6596/1873/1/012014.

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Garcia-Beltran, C., S. Gentil, and S. Charbonnier. "SEMI-QUALITATIVE TEMPORAL EPISODES PROGNOSIS FOR PROCESS SUPERVISION." IFAC Proceedings Volumes 38, no. 1 (2005): 305–10. http://dx.doi.org/10.3182/20050703-6-cz-1902.01853.

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Kartchner, David, Davi Nakajima An, Wendi Ren, Chao Zhang, and Cassie S. Mitchell. "Rule-Enhanced Active Learning for Semi-Automated Weak Supervision." AI 3, no. 1 (2022): 211–28. http://dx.doi.org/10.3390/ai3010013.

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A major bottleneck preventing the extension of deep learning systems to new domains is the prohibitive cost of acquiring sufficient training labels. Alternatives such as weak supervision, active learning, and fine-tuning of pretrained models reduce this burden but require substantial human input to select a highly informative subset of instances or to curate labeling functions. REGAL (Rule-Enhanced Generative Active Learning) is an improved framework for weakly supervised text classification that performs active learning over labeling functions rather than individual instances. REGAL interacti
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Yue, Min, Guangyuan Fu, Ming Wu, and Hongqiao Wang. "Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision." Journal of Intelligent & Robotic Systems 100, no. 2 (2020): 455–63. http://dx.doi.org/10.1007/s10846-020-01205-0.

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Passmore, Jonathan, and Susan McGoldrick. "Super-vision, extra-vision or blind faith? A grounded theory study of the efficacy of coaching supervision." International Coaching Psychology Review 4, no. 2 (2009): 145–61. http://dx.doi.org/10.53841/bpsicpr.2009.4.2.145.

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Objectives:Coaching supervision has become the dominant model of reflective practice in the UK. This study sought to explore coach and supervisor perceptions of supervision, and critically observe supervision practice.Design:The study utilised an observational design and semi-structured interviews.Methods:The study involved an observation of a coaching session, which was filmed, followed by interviews with the participants. This data was transcribed. In the second part of the study a series of semi-structured interviews were undertaken with coaches and supervisors. The data was transcribed and
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He, Yonghao, Cuicui Kang, Jian Wang, Shiming Xiang, and Chunhong Pan. "Image tag-ranking via pairwise supervision based semi-supervised model." Neurocomputing 167 (November 2015): 614–24. http://dx.doi.org/10.1016/j.neucom.2015.04.027.

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Lambley, Sharon. "A semi-open supervision systems model for evaluating staff supervision in adult care settings: a conceptual framework." European Journal of Social Work 21, no. 3 (2018): 389–99. http://dx.doi.org/10.1080/13691457.2018.1441129.

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Dissertations / Theses on the topic "Semi-supervision"

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Chalasani, Roopa. "OPTIMIZATION OF NETWORK PARAMETERS AND SEMI-SUPERVISION IN GAUSSIAN ART ARCHITECTURES." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4129.

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In this thesis we extensively experiment with two ART (adaptive resonance theory) architectures called Gaussian ARTMAP (GAM) and Distributed Gaussian ARTMAP (dGAM). Both of these classifiers have been successfully used in the past on a variety of applications. One of our contributions in this thesis is extensively experiments with the GAM and dGAM network parameters and appropriately identifying ranges for these parameters for which these architectures attain good performance (good classification performance and small network size). Furthermore, we have implemented novel modifications of these
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Wacquet, Guillaume. "Classification spectrale semi-supervisée : Application à la supervision de l'écosystème marin." Thesis, Littoral, 2011. http://www.theses.fr/2011DUNK0389/document.

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Dans les systèmes d'aide à la décision, sont généralement à disposition des données numériques abondantes et éventuellement certaines connaissances contextuelles qualitatives, disponibles a priori ou fournies a posteriori par retour d'expérience. Les performances des approches de classification, en particulier spectrale, dépendent de l'intégration de ces connaissances dans leur conception. Les algorithmes de classification spectrale permettent de traiter la classification sous l'angle de coupes de graphe. Ils classent les données dans l'espace des vecteurs propres de la matrice Laplacienne du
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Parrochon, Johann. "Supervision de la pression des effluents gazeux dans des équipements semi-conducteurs sous vide." Chambéry, 2005. http://www.theses.fr/2005CHAMS007.

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Ce travail porte sur l'amélioration d'équipements pour l'industrie de la microélectronique ; les éléments concernés sont des pompes à vide fabriquées par ADIXEN. Deux sujets ont été abordés, qui ont en commun l'utilisation d'une pompe en vitesse variable : a) la maîtrise de la qualité lors de la fabrication des circuits intégrés, par la régulation de pression dans les chambres de procédés, b) le recyclage du gaz fluoré utilisé pour le nettoyage des chambres de dépôt d'oxyde de silicium. Le premier sujet concerne la régulation de pression par variations de la vitesse de pompe, par opposition à
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Täckström, Oscar. "Predicting Linguistic Structure with Incomplete and Cross-Lingual Supervision." Doctoral thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-197610.

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Contemporary approaches to natural language processing are predominantly based on statistical machine learning from large amounts of text, which has been manually annotated with the linguistic structure of interest. However, such complete supervision is currently only available for the world's major languages, in a limited number of domains and for a limited range of tasks. As an alternative, this dissertation considers methods for linguistic structure prediction that can make use of incomplete and cross-lingual supervision, with the prospect of making linguistic processing tools more widely a
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Brandberg, Grage Anna Maria. "När kameleonten möter dronten : Om handledarrollen vid grupphandledning av yrkesverksamma inom människohjälpande yrken." Thesis, Linköpings universitet, Psykologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-132271.

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Syftet med denna studie var att i en svensk kontext belysa handledarens roll vid grupphandledning av yrkesverksamma inom människohjälpande yrken, då detta är ett område som endast är sparsamt utforskat. Materialet inhämtades genom semi-­strukturerade intervjuer med nio verksamma handledare med socionom­ eller psykologutbildning. De transkriberade  intervjuerna bearbetades med tematisk analys. Resultatet kan övergripande beskrivas i form av  en modell med fem huvudteman: handledarrollen i modellens centrum, som påverkar och påverkas av förutsättningar, förväntningar, arbetssätt och utvärderinga
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Abdo, Diala. "Modélisation dynamique et supervision des fours de réchauffage continus de la sidérurgie." Phd thesis, École Nationale Supérieure des Mines de Paris, 2006. http://pastel.archives-ouvertes.fr/pastel-00002236.

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Ce travail porte sur la modélisation dynamique des fours de réchauffage en continu de la sidérurgie en développant une logique de supervision en ligne. Le premier axe présente l'élaboration d'un modèle dynamique global d'un four de réchauffage où seules l'équation de l'énergie et l'équation de continuité sont appliquées en utilisant et perfectionnant le logiciel THERMETTE du Centre Energétique et Procédés (CEP). Le modèle est applicable à tous les types de fours grâce à l'interface de l'outil SAFIR-4D développé pour la société Stein-Heurtey. A l'aide de cette interface, un four quelconque est
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Saint-Jean, Christophe. "Classification paramétrique robuste partiellement supervisée en reconnaissance des formes." Phd thesis, Université de La Rochelle, 2001. http://tel.archives-ouvertes.fr/tel-00145895.

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L'apprentissage est une étape importante d'un processus de reconnaissance des formes pour<br />la décision. On distingue généralement l'approche supervisée de l'approche non supervisée suivant<br />que l'on dispose ou non d'une expertise des données. Dans ce travail, nous étudions le cas<br />intermédiaire d'une classification semi-supervisée où l'on dispose d'un ensemble mixte de données<br />numériques.<br />Certains éléments à traiter diffèrent du modèle a priori supposé des données et peuvent perturber<br />le processus d'apprentissage. Les méthodes robustes de classification visent à limi
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Gonçalves, José Henrique Dias. "Estimação de Modelos de sobrevivência para tempos entre a prestação e a cobrança de serviços de regulação." Master's thesis, Instituto Superior de Economia e Gestão, 2010. http://hdl.handle.net/10400.5/2149.

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Mestrado em Decisão Económica e Empresarial<br>No presente estudo, foram aplicados vários modelos para estimar a função de sobrevivência relativa aos tempos decorridos entre a prestação de um serviço e a sua cobrança. O estudo envolveu dados experimentais, obtidos através da base de dados dos Órgãos de Comunicação Social notificados para pagar a Taxa de Regulação e Supervisão à Entidade Reguladora para a Comunicação Social. Antes de proceder à estimação dos modelos propostos, foi introduzida uma análise detalhada dos dados, baseada em estatísticas descritivas e cruzamentos de variáveis. Ao nív
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Mirroshandel, Seyedabolghasem. "Towards less supervision in dependency parsing." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4096/document.

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Analyse probabiliste est l'un des domaines de recherche les plus attractives en langage naturel En traitement. Analyseurs probabilistes succès actuels nécessitent de grandes treebanks qui Il est difficile, prend du temps et coûteux à produire. Par conséquent, nous avons concentré notre l'attention sur des approches moins supervisés. Nous avons proposé deux catégories de solution: l'apprentissage actif et l'algorithme semi-supervisé. Stratégies d'apprentissage actives permettent de sélectionner les échantillons les plus informatives pour annotation. La plupart des stratégies d'apprentissage act
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Zhang, Yi. "Learning with Limited Supervision by Input and Output Coding." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/156.

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In many real-world applications of supervised learning, only a limited number of labeled examples are available because the cost of obtaining high-quality examples is high. Even with a relatively large number of labeled examples, the learning problem may still suffer from limited supervision as the complexity of the prediction function increases. Therefore, learning with limited supervision presents a major challenge to machine learning. With the goal of supervision reduction, this thesis studies the representation, discovery and incorporation of extra input and output information in learning.
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Books on the topic "Semi-supervision"

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Offender Supervision: New Directions in Theory, Research and Practice. Willan Publishing, 2012.

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Offender supervision: New directions in theory, research and practice. Willan, 2010.

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Offender Supervision: New Directions in Theory, Research and Practice. Willan Publishing, 2012.

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Fain, Cicero M. ,. III. Black Huntington. University of Illinois Press, 2019. http://dx.doi.org/10.5622/illinois/9780252042591.001.0001.

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This book studies the multi-generational transition of rural and semi-rural southern black migrants to life in the embryonic urban-industrial town of Huntington, West Virginia, between 1871 and 1929. Strategically located adjacent to the Ohio River in the Tri-state region of southwestern West Virginia, southeastern Ohio, and eastern Kentucky, and founded as a transshipment station by financier Collis P. Huntington for the Chesapeake and Ohio Railroad in 1871, Huntington grew from a non-descript village to the state’s most populated city by 1930. Huntington’s black population grew in concert: b
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Book chapters on the topic "Semi-supervision"

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Spurr, Adrian, Emre Aksan, and Otmar Hilliges. "Guiding InfoGAN with Semi-supervision." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71249-9_8.

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Nguyen, Duc Hau, Cyrielle Mallart, Guillaume Gravier, and Pascale Sébillot. "Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation." In Natural Language Processing and Information Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35320-8_20.

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Abdullin, Artur, and Olfa Nasraoui. "Clustering Heterogeneous Data with Mutual Semi-supervision." In String Processing and Information Retrieval. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34109-0_4.

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Mendel, Robert, Luis Antonio de Souza, David Rauber, João Paulo Papa, and Christoph Palm. "Semi-supervised Segmentation Based on Error-Correcting Supervision." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58526-6_9.

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Dubey, Avinava, Indrajit Bhattacharya, and Shantanu Godbole. "A Cluster-Level Semi-supervision Model for Interactive Clustering." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15880-3_32.

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Mendel, Robert, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, and Christoph Palm. "Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision." In Bildverarbeitung für die Medizin 2021. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-33198-6_43.

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Slutsky, Anton, Xiaohua Hu, and Yuan An. "Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18032-8_47.

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Conheady, Gerald, and Derek Greene. "Weak Supervision for Semi-supervised Topic Modeling via Word Embeddings." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59888-8_13.

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Li, Linfeng, Minyue Jiang, Yue Yu, et al. "Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20056-4_37.

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Zhang, Yunyang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, and Wen Yao. "Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision." In Computer Vision – ACCV 2022. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26293-7_20.

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Conference papers on the topic "Semi-supervision"

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Ye, Shunlong, and Zexuan Ji. "Effective Polyp Segmentation in Medical Imaging: A Semi-Supervised Approach with Progressive Supervision." In 2024 3rd International Conference on Big Data, Information and Computer Network (BDICN). IEEE, 2024. http://dx.doi.org/10.1109/bdicn62775.2024.00031.

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Jin, Peng, Yuxuan Liu, and Taiwei Cui. "GP-CPS: Gradient Penalty Cross Pseudo Supervision for Semi-Supervised Medical Image Segmentation." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980869.

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Yang, Xu, Min Zhang, Jing Zhang, Zhengqin Zhou, Weihao Sun, and Yongpeng Xu. "Converter Transformer Fault Diagnosis Based on Domain Adaptive Semi-Supervision, Lightweight and Model Compression." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929099.

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Ye, Ping, He Li, Shaoting Zhang, and Guotai Wang. "Semi-Supervised Medical Image Segmentation via Multi-Group Network with Consistency Among Heterogeneous Loss Supervision." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635446.

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Lv, NianJiang, Hui Meng, Haochen Zhao, Deqian Yang, Di Gao, and Lanfang Du. "Text-Guided Cross Pseudo Supervision for Semi-Supervised Multi-Organ Segmentation in Abdominal CT Scans." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980743.

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Chakravorty, Anisha, Jakkireddy Sai Ajay Reddy, and Shounak Chakraborty. "Integration of Semi-Supervision and Active Learning for Effective Semantic Segmentation of Remote Sensing Images With Sparse Training Set." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984093.

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Basu, Sugato, Arindam Banerjee, and Raymond J. Mooney. "Active Semi-Supervision for Pairwise Constrained Clustering." In Proceedings of the 2004 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, 2004. http://dx.doi.org/10.1137/1.9781611972740.31.

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Alves, Guilherme, Maria Camila N. Barioni, and Elaine R. Faria. "A Framework for Online Clustering Based on Evolving Semi-Supervision." In Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/sbbd.2017.171369.

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The huge amount of currently available data puts considerable constraints on the task of information retrieval. Automatic methods to organize data, such as clustering, can be used to help with this task allowing timely access. Semi-supervised clustering approaches employ some additional information to guide the clustering performed based on data attributes to a more suitable data partition. However, this extra information may change over time imposing a shift in the manner by which data is organized. In order to help cope with this issue, we propose the framework called CABESS (Cluster Adaptat
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Wallin, Erik, Lennart Svensson, Fredrik Kahl, and Lars Hammarstrand. "DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision." In 2022 26th International Conference on Pattern Recognition (ICPR). IEEE, 2022. http://dx.doi.org/10.1109/icpr56361.2022.9956182.

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Hu, Yeming, Evangelos E. Milios, and James Blustein. "Enhancing semi-supervised document clustering with feature supervision." In the 27th Annual ACM Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2245457.

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