Relevant bibliographies by topics / Group based classification

Contents

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

Academic literature on the topic 'Group based classification'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Group based classification"

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Nabi, Faisal, Jianming Yong, and Xiaohui Tao. "CLASSIFICATION OF LOGICAL VULNERABILITY BASED ON GROUP ATTACK METHOD." Journal of Ubiquitous Systems & Pervasive Networks 14, no. 01 (2021): 19–26. http://dx.doi.org/10.5383/juspn.14.01.004.

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Samsudin, Noor A., and Andrew P. Bradley. "Nearest neighbour group-based classification." Pattern Recognition 43, no. 10 (2010): 3458–67. http://dx.doi.org/10.1016/j.patcog.2010.05.010.

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Ghanaiem, Alaa, Evgeny Kagan, Parteek Kumar, Tal Raviv, Peter Glynn, and Irad Ben-Gal. "Unsupervised Classification under Uncertainty: The Distance-Based Algorithm." Mathematics 11, no. 23 (2023): 4784. http://dx.doi.org/10.3390/math11234784.

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This paper presents a method for unsupervised classification of entities by a group of agents with unknown domains and levels of expertise. In contrast to the existing methods based on majority voting (“wisdom of the crowd”) and their extensions by expectation-maximization procedures, the suggested method first determines the levels of the agents’ expertise and then weights their opinions by their expertise level. In particular, we assume that agents will have relatively closer classifications in their field of expertise. Therefore, the expert agents are recognized by using a weighted Hamming
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Ling, Chen, Wang Xiaoming, Xue Ping, et al. "Based on Zabbix-Prometheus Group Classification Alarm System." Journal of Physics: Conference Series 2665, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2665/1/012010.

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Abstract The efficient operation of the system is the foundation for improving business level in the rapid development of information technology. Based on the data integration of the Zabbix-Prometheus system, it achieves information data storage, data collection, grouping and classification linkage alarm functions. The Zabbix-Prometheus grouping and classification alarm integration system can effectively solve the problems of a large amount of redundant alarm information, no priority of alarm information, and inability to silence. It has established a multi-platform integrated alarm service sy
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Long, Xueqin, Shanshan Liu, Huan Zhao, and Meng Zhou. "Drivers Route Switching Behavior Based on Group Classification." IEEE Access 8 (2020): 93514–26. http://dx.doi.org/10.1109/access.2020.2994178.

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Бериков, В. Б., О. А. Кутненко, and И. А. Пестунов. "Weakly supervised group classification." Вычислительные технологии 29, no. 1 (2024): 45–58. http://dx.doi.org/10.25743/ict.2024.29.1.005.

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В работе решается задача слабо-контролируемого обучения в постановке групповой бинарной классификации. Предполагается, что каждый объект выборки может включать набор подобъектов, относящихся к разным классам. Предлагаемый метод решения основан на выборе информативного признакового пространства и фильтрации обучающей выборки. Описывается применение разработанного метода для прогнозирования степени поражения участков головного мозга у пациентов с ишемическим инсультом по снимкам компьютерной томографии. Weakly supervised learning implies possible uncertainty or fuzziness of the labelling. Curren
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Xu, C., G. Zhu, and K. Yang. "SCENE CLASSIFICATION BASED ON THE INTRINSIC MEAN OF LIE GROUP." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2020 (August 3, 2020): 75–82. http://dx.doi.org/10.5194/isprs-annals-v-3-2020-75-2020.

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Abstract. Remote Sensing scene classification aims to identify semantic objects with similar characteristics from high resolution images. Even though existing methods have achieved satisfactory performance, the features used for classification modeling are still limited to some kinds of vector representation within a Euclidean space. As a result, their models are not robust to reflect the essential scene characteristics, hardly to promote classification accuracy higher. In this study, we propose a novel scene classification method based on the intrinsic mean on a Lie Group manifold. By introdu
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A. Shaban, S., and D. L. Elsheweikh. "Blood Group Classification System Based on Image Processing Techniques." Intelligent Automation & Soft Computing 31, no. 2 (2022): 817–34. http://dx.doi.org/10.32604/iasc.2022.019500.

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Yang, Daiqin, and Wentao Bao. "Group Lasso-Based Band Selection for Hyperspectral Image Classification." IEEE Geoscience and Remote Sensing Letters 14, no. 12 (2017): 2438–42. http://dx.doi.org/10.1109/lgrs.2017.2768074.

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Nabi, Faisal, Jianming Yong, and Xiaohui Tao. "Classification of Logical Vulnerability Based on Group Attacking Method." Procedia Computer Science 170 (2020): 923–28. http://dx.doi.org/10.1016/j.procs.2020.03.109.

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Dissertations / Theses on the topic "Group based classification"

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Girdhar, Anupam. "Expansion of Group Technology Part Coding Based on Functionality." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin990649367.

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Tapia, Farías Juan Eduardo. "Gender classification using pair group feature selection based on mutual information from frontal faces and iris images." Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/137825.

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Doctor en Ingeniería Eléctrica<br>El uso de imágenes de rostros o iris para estimar información demográfica, tal como género, raza, edad y emociones se denomina Soft Biometrics . En un marco de reconocimiento biométrico, la información de género nos puede ayudar a buscar solo en la mitad de la base de datos. La mayoría de los métodos reportados en la literatura usan todas las características disponibles para la clasificación de imágenes. En el procesamiento de imágenes, el ingreso directo de los datos a los clasificadores tiene una alta dimensionalidad y un limitado número de ejemplos. En est
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Genta, L. "CONSENSUS-BASED CROWDSOURCING: TECHNIQUES AND APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/263749.

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Crowdsourcing solutions are receiving more and more attention in the recent literature about social computing and distributed problem solving. In general terms, crowdsourcing can be considered as a social-computing model aimed at fostering the autonomous formation and emergence of the so-called wisdom of the crowd. Quality assessment is a crucial issue for the effectiveness of crowdsourcing systems, both for what concerns task and worker management. Another aspect to be considered in crowdsourcing systems is about the kind of contributions workers can make. Usually, crowdsourcing approaches re
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Dornberger, Utz, and Dirk Krause. "Integration von e-Learning Systemen und Groupware-Anwendungen am Beispiel von „Group-based Management Training“." Technische Universität Dresden, 2005. https://tud.qucosa.de/id/qucosa%3A28407.

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Basierend auf den Erfahrungen der Mitarbeiter der confuture Innovationssysteme GmbH auf den Gebieten der Entwicklung von internetbasierten Anwendungssystemen und Groupware-Anwendungen sowie den Mitarbeitern des Instituts für Wirtschaftsinformatik der Universität Leipzig (IWi) bei der Entwicklung, Einführung und Betrieb von e-Learning-Systemen im Projekt „Winfoline“ wurde im Jahre 2003 der Prototyp eines modularen, frei konfigurierbaren e-Learning Systems entwickelt.
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Malakuti, Somayeh. "An Overview of Event-based Facades for Modular Composition and Coordination of Multiple Applications." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-203204.

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Complex software systems are usually developed as systems of systems (SoS’s) in which multiple constituent applications are composed and coordinated to fulfill desired system-level requirements. The constituent applications must be augmented with suitable coordination-specific interfaces, through which they can participate in coordinated interactions. Such interfaces as well as coordination rules have a crosscutting nature. Therefore, to increase the reusability of the applications and to increase the comprehensibility of SoS’s, suitable mechanisms are required to modularize the coordination r
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Hahn, Janna, Michael Hazelaar, and Karl-Heinrich Grote. "Unterstützung der eigenschaftsbasierten Fahrzeugkonzeption in der frühen Konzeptphase." TUDpress - Verlag der Wissenschaften GmbH, 2012. https://tud.qucosa.de/id/qucosa%3A30519.

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Aus der Einleitung: "In den Forschungs- und Entwicklungsabteilungen der Automobilhersteller werden in sehr früher Phase unterschiedlichste Fahrzeugkonzepte erstellt. Diese reichen von Abwandlungen gegenwärtiger Serienfahrzeuge (Derivate, Nachfolgemodell) bis hin zu gänzlich neuartigen, unkonventionellen Fahrzeugkonzepten. Die Entwicklung eines neuen Fahrzeugkonzeptes stellt dabei eine ganzheitliche Aufgabe dar, die unter Einbeziehung der verschiedensten Fachbereiche und Anforderungen zu bewältigen ist (Gusig & Kruse 2010, Braess & Seiffert 2007)."
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Boldt, Frank. "A Framework for Modeling Irreversible Processes Based on the Casimir Companion." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-145179.

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Thermodynamic processes in finite time are in general irreversible. But there are chances to avoid irreversibility. For instance, there are canonical ensembles of special quantum systems with a given probability distribution describing the likelihood to find the system at time t=0 in a particular state with energy E_i(0), which can be controlled in a specific way, such that the initial probability distribution is recovered at the end of the process (t=T), but the state energies did change, hence E_i(0) is not equal to E_i(T). This allows to change thermodynamic quantities (expectation values)
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Colak, Tufan, and Rami S. R. Qahwaji. "Automated McIntosh-Based Classification of Sunspot Groups Using MDI Images." Springer, 2007. http://hdl.handle.net/10454/4091.

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yes<br>This paper presents a hybrid system for automatic detection and McIntosh-based classification of sunspot groups on SOHO/MDI white-light images using active-region data extracted from SOHO/MDI magnetogram images. After sunspots are detected from MDI white-light images they are grouped/clustered using MDI magnetogram images. By integrating image-processing and neural network techniques, detected sunspot regions are classified automatically according to the McIntosh classification system. Our results show that the automated grouping and classification of sunspots is possible with a high su
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Bock, Wolfgang, Jürgen Braun, and Tobias Schürrmann. "Hydraulic fluids with new, modern base oils – structure and composition, difference to conventional hydraulic fluids; experience in the field." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199487.

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The paper describes the comparison and the difference of modern hydraulic fluids compared to conventional hydraulic fluids. A comparison of different base oil groups, solvent neutrals, group I and comparison with hydrotreated/hydroprocessed group II and/or group III base oils is presented. The influence on oxidation stability, elastomer compatibility, carbon distribution and physical properties is outlined.
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Sanchez, Merchante Luis Francisco. "Learning algorithms for sparse classification." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00868847.

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This thesis deals with the development of estimation algorithms with embedded feature selection the context of high dimensional data, in the supervised and unsupervised frameworks. The contributions of this work are materialized by two algorithms, GLOSS for the supervised domain and Mix-GLOSS for unsupervised counterpart. Both algorithms are based on the resolution of optimal scoring regression regularized with a quadratic formulation of the group-Lasso penalty which encourages the removal of uninformative features. The theoretical foundations that prove that a group-Lasso penalized optimal sc
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Books on the topic "Group based classification"

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Porzio, Giovanni Camillo, Carla Rampichini, and Chiara Bocci, eds. CLADAG 2021 BOOK OF ABSTRACTS AND SHORT PAPERS. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-340-6.

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The book collects the short papers presented at the 13th Scientific Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS). The meeting has been organized by the Department of Statistics, Computer Science and Applications of the University of Florence, under the auspices of the Italian Statistical Society and the International Federation of Classification Societies (IFCS). CLADAG is a member of the IFCS, a federation of national, regional, and linguistically-based classification societies. It is a non-profit, non-political scientific organizatio
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Great Britain. Office of Population Censuses and Surveys., ed. Social class based on occupation: Definitions in terms of Standard Occupational Classification (SOC) Unit Groups andemployment status. Office of Population Censuses and Surveys, 1992.

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Reiner, Leidl, Potthoff Peter 1947-, and Schwefel Detlef, eds. European approaches to patient classification systems: Methods and applications based on disease severity, resource needs, and consequences. Springer-Verlag, 1990.

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GREAT BRITAIN. Office of population censuses and surveys. Social class based on occupation: Definitions in terms of Standard Occupational Classification (SOC) Unit Groups and employment status. Office of Population Censuses and Surveys, 1991.

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Bondarenko, Natal'ya. Pattern recognition. The initial course of theory. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2111834.

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This tutorial discusses the tasks of pattern recognition, discriminant analysis, taxonomy, comparison with a reference, classification of features, and selection of a feature space. The main groups of features calculated from images and used for their recognition have been studied. The methods of classification based on comparison with the standard, the Bayesian classifier and decision trees are highlighted. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students studying in the field of information technology, applied mathem
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United States. Congress. House. A bill to amend title XVIII of the Social Security Act to provide for prospective payment under the Medicare program for inpatient services of rehabilitation hospitals and units based on discharges classified by functional-related groups. [United States Government Printing Office], 1997.

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Ivanov, Yuriy, Roman Filonov, and Dzhaniko Murusidzye. Mechanization and technology of animal husbandry: laboratory practical work. INFRA-M Academic Publishing LLC., 2016. http://dx.doi.org/10.12737/14036.

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In the manual questions of technology, mechanization and automation of processes in animal husbandry are considered; bases of the modern production technology of production of animal husbandry are stated; the short description of designs and the principles of work of the equipment used in animal husbandry is given. All material is issued in the form of the separate laboratory works distributed according to the program of a course. In each laboratory work&#x0D; separate groups of cars and the equipment according to their classification and technological appointment are considered; method of cal
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Serebryakov, Andrey, and Gennadiy Zhuravlev. Exploitation of oil and gas fields by horizontal wells. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/971768.

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The textbook describes the design features of offshore horizontal multi-hole production wells, as well as the bottom-hole components of horizontal multi-hole wells. The classification of complications of multi-hole horizontal wells, methods of their prevention and elimination are given. Methods of underground geonavigation of the development of offshore horizontal production wells are proposed. The geological and field bases of operation of horizontal offshore multi-hole oil and gas wells, modes and dynamics of oil, gas and associated water production, methods for calculating dynamic bottom-ho
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Jennifer, Schwerdtfeger, ed. Workbook for ICD-10-CM/PCS coding: Theory and practice. Saunders, 2011.

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Spears, Priscilla. A Tour of the Flowering Plants Based on the Classification System of the Angiosperm Phylogeny Group. Missouri Botanical Garden Press, 2006.

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Book chapters on the topic "Group based classification"

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Park, Patrick S., Ryan F. Compton, and Tsai-Ching Lu. "Network-Based Group Account Classification." In Social Computing, Behavioral-Cultural Modeling, and Prediction. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16268-3_17.

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Triantafyllou, Andreas M., and George A. Tsihrintzis. "Group Affect Recognition: Optimization of Automatic Classification." In Knowledge-Based Software Engineering: 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97679-2_19.

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Loeblich, Alfred R., and Helen Tappan. "Family Group Taxa Based on Genera of Uncertain Status." In Foraminiferal Genera and Their Classification. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-5760-3_3.

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Samsudin, Noor Azah, and Andrew P. Bradley. "Extended Naïve Bayes for Group Based Classification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07692-8_47.

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Montanari, Angela, and Daniela G. Calò. "Two Group Linear Discrimination Based on Transvariation Measures." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-72253-0_35.

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Queiroz, Sergio R. M., and Francisco A. T. de Carvalho. "A Symbolic Model-Based Approach for Making Collaborative Group Recommendations." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_35.

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Cherkasskiy, Andrey Igorevich, Marina Valeryevna Cherkasskaya, Alexey Anatolevich Artamonov, and Ilya Yurievich Galin. "User Group Classification Methods Based on Statistical Models." In Studies in Computational Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96993-6_6.

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Sarath Chandra, B., Madabattula Pavan Kalyan, Saripalli Chanikya, Seelam Srinivasa Reddy, and Duvvuru Siddhardh Reddy. "Fingerprint Based Blood Group Classification Using Deep Learning." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2124-8_31.

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Sageder, Gerhard, Maia Zaharieva, and Christian Breiteneder. "Group Feature Selection for Audio-Based Video Genre Classification." In MultiMedia Modeling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27671-7_3.

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Basil, Mohammad, Santosh Gaikwad, and Alaa Sabeeh Salim. "Deep Learning Approach Based Dominant Age Group Based Classification for Social Network." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38752-5_12.

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Conference papers on the topic "Group based classification"

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Reddy, K. Ramakrishna, G. Indrani, N. Pavan Kumar, and K. Vamshi Krishna. "Image-based System for Blood Group Classification." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10985254.

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Li, Xuyang, Xiangsuo Fan, Qi Li, Peng Li, and Xueqiang Zhao. "Application of Group-Aware Hierarchical Transformation Based on Grouping in Hyperspectral Image Classification." In 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, 2024. https://doi.org/10.1109/icicml63543.2024.10957987.

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Morbini, Fabrizio, Eric Forbell, and Kenji Sagae. "Improving Classification-Based Natural Language Understanding with Non-Expert Annotation." In Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL). Association for Computational Linguistics, 2014. https://doi.org/10.18653/v1/w14-4309.

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Wang, Chenhui, Rongrong Zheng, Jingwen Zeng, et al. "Research on Information Customer Service Data Mining and User Group Classification Based on Cluster Analysis." In 2024 Global Conference on Communications and Information Technologies (GCCIT). IEEE, 2024. https://doi.org/10.1109/gccit63234.2024.10862931.

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Indriani, Fatma, Dwi Kartini, Dodon Turianto Nugrahadi, and Triando Hamonangan Saragih. "Comparison of Feature Transformation and Missing Value Imputation Methods for Nutrient-Based Food Group Classification." In 2024 Ninth International Conference on Informatics and Computing (ICIC). IEEE, 2024. https://doi.org/10.1109/icic64337.2024.10957314.

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Gholamian, Sina, Gianfranco Romani, Bartosz Rudnikowicz, and Stavroula Skylaki. "LLM-Based Robust Product Classification in Commerce and Compliance." In Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.customnlp4u-1.3.

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Cheng, Zhu, Wen Zhang, Chih-Chi Chou, et al. "E-Commerce Product Categorization with LLM-based Dual-Expert Classification Paradigm." In Proceedings of the 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual (CustomNLP4U). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.customnlp4u-1.22.

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Zhang, Lifeng, Beno�t Chachuat, and Claire S. Adjiman. "Accelerating Solvent Design Optimisation with Group-Contribution Machine Learning Surrogate Classifiers." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.166568.

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Asserting the phase stability of multi-component mixtures is an important task in computer-aided mixture/blend design (CAMbD), but it is often hindered by the lack of reliable and tractable models. In this paper, we propose a group-contribution machine-learning (GC-ML) method to predict phase coexistence for a large set of ternary mixtures consisting of two solvents and one (fixed) solute. Each solvent is represented by a vector of functional group numbers, encoded by integer values. The solvent vectors are combined with mixture composition and temperature to form the input features to a GC-ML
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Samsudin, Noor A., and Andrew P. Bradley. "Group-based meta-classification." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761778.

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Ningbo Zhu, Lei Wei, and Ting Xu. "Group representation-based classification." In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2015. http://dx.doi.org/10.1109/fskd.2015.7382039.

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Reports on the topic "Group based classification"

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Canto, Patricia, ed. Business Groups in the Basque Country. Universidad de Deusto, 2023. http://dx.doi.org/10.18543/xxuy9821.

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The report "Business Groups in Euskadi" describes the ownership structure of companies in the Basque Country, highlighting the relevance of business groups. Additionally, it proposes a methodology for the identification and classification of these business groups present in the Basque Country. Thus, the report presents a snapshot of these groups for the year 2022, identifying 4,136 business groups and describing their characteristics based on the location of their parent company, distinguishing between Basque, Spanish (outside the Basque Country), and foreign groups. For each of these typologi
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Evans, Julie, Kendra Sikes, and Jamie Ratchford. Vegetation classification at Lake Mead National Recreation Area, Mojave National Preserve, Castle Mountains National Monument, and Death Valley National Park: Final report (Revised with Cost Estimate). National Park Service, 2020. http://dx.doi.org/10.36967/nrr-2279201.

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Vegetation inventory and mapping is a process to document the composition, distribution and abundance of vegetation types across the landscape. The National Park Service’s (NPS) Inventory and Monitoring (I&amp;M) program has determined vegetation inventory and mapping to be an important resource for parks; it is one of 12 baseline inventories of natural resources to be completed for all 270 national parks within the NPS I&amp;M program. The Mojave Desert Network Inventory &amp; Monitoring (MOJN I&amp;M) began its process of vegetation inventory in 2009 for four park units as follows: Lake Mead
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Whitt, Christine, Katherine Lacy, and Katherine Lim. America's farms and ranches at a glance. United States Department of Agriculture, Economic Research Service, 2023. http://dx.doi.org/10.32747/2023.8141996.ers.

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American farms represent a diverse set of business operations and farm operators. This annual report describes characteristics of U.S. farms and ranches with the most recent data from the Agricultural Resource Management Survey (ARMS), an annual survey conducted by USDA, National Agricultural Statistics Service (NASS) and USDA, Economic Research Service (ERS). Statistics are presented using a farm classification developed by USDA, ERS to categorize farms into groups with some common characteristics. The classifications used are mainly based on each farm's annual revenue, the main occupation of
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Austin, Velda R., and Wayne R. Wilson. Classification of Champus Professional Services to Ambulatory Patient Groups and Assignment of Resource-Based Relative Values. Champus Professional Services Classification Study (CPSCS). Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251256.

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Gong, Xuan, Zhou Chen, Kui Yang, et al. Endoscopic Transsphenoidal Surgery for Infra-Diaphragmatic Craniopharyngiomas: Impact of Diaphragm Sellae Competence on Hypothalamic Injury. International Journal of Surgery, 2024. http://dx.doi.org/10.60122/j.ijs.2024.20.03.

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Objective: Investigate the impact of diaphragm sellae competence on surgical outcomes and risk factors for postoperative hypothalamic injury (HI) in patients undergoing endoscopic transsphenoidal surgery (ETS) for infra-diaphragmatic craniopharyngiomas (ICs). Methods: A retrospective analysis of 54 consecutive patients (2016-2023) with ICs treated by ETS was conducted. All tumors originated from the sellar region inferior to the diaphragm sellae and were classified into two subtypes in terms of diaphragm sellae competence: IC with competent diaphragm sellae (IC-CDS) and IC with incompetent dia
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McManamay, Rachel, and Wendy Wright. Vegetation mapping at Cumberland Island National Seashore. National Park Service, 2017. https://doi.org/10.36967/2243967.

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The Southeast Coast Network (SECN), with the support of the National Park Service (NPS) Vegetation Mapping Inventory Program, described and mapped vegetation at Cumberland Island National Seashore (CUIS). This mapping effort was accomplished through collaboration with the Southeast regional office of NatureServe (Raleigh/Durham, N.C.). The mapping area was 15,163.4 hectares (ha), encompassing the entire boundary of the seashore plus an additional buffered area. NatureServe ecologists identified plant associations for the seashore and a remote sensing specialist from the Southeast Coast Network
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Brillantes, Karen Dominique, Aniceto Jr Orbeta, Kris Francisco-Abrigo, Erlinda Capones, and Justine Beatrice Jovellanos. Status of Senior High School Implementation: A Process Evaluation. Philippine Institute for Development Studies, 2019. https://doi.org/10.62986/dp2019.13.

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This study conducts a process evaluation to determine the extent of implementation of the Senior High School (SHS) program and identify best practices, issues, and areas for improvement. It looks at three specific components namely, program theory, service delivery and utilization, and program organization. To capture a wider range of school context and experiences related to the implementation of the SHS program, 25 schools were randomly chosen based on their size, tracks offered, as well as area classification. Focus group discussions (FGDs) and key informant interviews (KIIs) with program i
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de Dieu Niyigena, Jean, Innocent Ngaruye, Joseph Nzabanita, and Martin Singull. Approximation of misclassification probabilities using quadratic classifier for repeated measurements with known covariance matrices. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/lith-mat-r-2024-02.

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Quadratic discriminant analysis is a well-established supervised classification method, which extends the linear the linear discriminant analysis by relaxing the assumption of equal variances across classes. In this study, quadratic discriminant analysis is used to develop a quadratic classification rule based on repeated measurements. We employ a bilinear regression model to assign new observations to predefined populations and approximate the misclassification probability. Through weighted estimators, we estimate unknown mean parameters and derive moments of the quadratic classifier. We then
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Wells, Aaron, Tracy Christopherson, Gerald Frost, et al. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287466.

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This study was conducted to inventory, classify, and map soils and vegetation within the ecosystems of Katmai National Park and Preserve (KATM) using an ecological land survey (ELS) approach. The ecosystem classes identified in the ELS effort were mapped across the park, using an archive of Geo-graphic Information System (GIS) and Remote Sensing (RS) datasets pertaining to land cover, topography, surficial geology, and glacial history. The description and mapping of the landform-vegetation-soil relationships identified in the ELS work provides tools to support the design and implementation of
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Smyth, Emer, and Helen Russell. Trends in Disability Prevalence among Young People: Insights from the Growing Up in Ireland Study. ESRI, 2024. http://dx.doi.org/10.26504/rs192.

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Background to the study This report draws on analyses of the two cohorts of the Growing Up in Ireland (GUI) study to examine trends in the prevalence of disability among 13-year-olds over the decade 2011/2012 to 2021/2022. The report looks at changes over time in the size and composition of those with a long-lasting condition (LLC) or disability, at the presence of socio-emotional difficulties and/or depressive symptoms among these groups, and at a range of adolescent outcomes. The prevalence of long-lasting conditions and disability The prevalence of disability is highly dependent on the defi
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