Relevant bibliographies by topics / Metric aggregation

Contents

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

Academic literature on the topic 'Metric aggregation'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Metric aggregation"

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Bibiloni-Femenias, Maria del Mar, and Oscar Valero. "Modular Quasi-Pseudo Metrics and the Aggregation Problem." Mathematics 12, no. 12 (2024): 1826. http://dx.doi.org/10.3390/math12121826.

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The applicability of the distance aggregation problem has attracted the interest of many authors. Motivated by this fact, in this paper, we face the modular quasi-(pseudo-)metric aggregation problem, which consists of analyzing the properties that a function must have to fuse a collection of modular quasi-(pseudo-)metrics into a single one. In this paper, we characterize such functions as monotone, subadditive and vanishing at zero. Moreover, a description of such functions in terms of triangle triplets is given, and, in addition, the relationship between modular quasi-(pseudo-)metric aggregat
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Koutlis, Christos, Manos Schinas, Symeon Papadopoulos, and Ioannis Kompatsiaris. "GAP: Geometric Aggregation of Popularity Metrics." Information 11, no. 6 (2020): 323. http://dx.doi.org/10.3390/info11060323.

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Estimating and analyzing the popularity of an entity is an important task for professionals in several areas, e.g., music, social media, and cinema. Furthermore, the ample availability of online data should enhance our insights into the collective consumer behavior. However, effectively modeling popularity and integrating diverse data sources are very challenging problems with no consensus on the optimal approach to tackle them. To this end, we propose a non-linear method for popularity metric aggregation based on geometrical shapes derived from the individual metrics’ values, termed Geometric
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Koutlis, Christos, Manos Schinas, Symeon Papadopoulos, and Ioannis Kompatsiaris. "GAP: Geometric Aggregation of Popularity Metrics." Information 11, no. 6 (2020): 14. https://doi.org/10.3390/info11060323.

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Estimating and analyzing the popularity of an entity is an important task for professionals in several areas, e.g., music, social media, and cinema. Furthermore, the ample availability of online data should enhance our insights into the collective consumer behavior. However, effectively modeling popularity and integrating diverse data sources are very challenging problems with no consensus on the optimal approach to tackle them. To this end, we propose a non-linear method for popularity metric aggregation based on geometrical shapes derived from the individual metrics’ values, termed Geo
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Jing, Yunpeng. "P-index: A Generalized Statistical Aggregation Metric." Journal of Physics: Conference Series 2747, no. 1 (2024): 012011. http://dx.doi.org/10.1088/1742-6596/2747/1/012011.

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Abstract Data aggregation serves as a crucial technique in data analysis, particularly in the context of data dimensionality reduction. The most common approach involves employing statistical aggregation metrics such as mean, median, and others to characterize a dataset. However, different statistical aggregation metrics may yield disparate results, making the discrimination and selection of suitable metrics for describing data a research topic. Addressing this, the paper proposes a generalized statistical aggregation metric, categorizing several commonly used metrics under specific scenarios.
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Juan, José Miñana, and Valero Óscar. "On Matthews' Relationship Between Quasi-Metrics and Partial Metrics: An Aggregation Perspective." Results in Mathematics 75 (March 9, 2020): 47. https://doi.org/10.5281/zenodo.4967489.

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Borsík and Doboš studied the problem of how to merge a family of metric spaces into a single one through a function. They called such functions metric preserving and provided a characterization of them in terms of the so-called triangle triplets. Since then, different papers have extended their study to the case of generalized metric spaces. Concretely, Mayor and Valero (Inf Sci 180:803–812, 2010) provided two characterizations of those functions, called quasi-metric aggregation functions, that allows us to merge a collection of quasi-metric spaces into a new one. In Massan
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Mayor, Gaspar, and Oscar Valero. "Metric aggregation functions revisited." European Journal of Combinatorics 80 (August 2019): 390–400. http://dx.doi.org/10.1016/j.ejc.2018.02.037.

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Pedraza, Tatiana, and Jesús Rodríguez-López. "New Results on the Aggregation of Norms." Mathematics 9, no. 18 (2021): 2291. http://dx.doi.org/10.3390/math9182291.

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It is a natural question if a Cartesian product of objects produces an object of the same type. For example, it is well known that a countable Cartesian product of metrizable topological spaces is metrizable. Related to this question, Borsík and Doboš characterized those functions that allow obtaining a metric in the Cartesian product of metric spaces by means of the aggregation of the metrics of each factor space. This question was also studied for norms by Herburt and Moszyńska. This aggregation procedure can be modified in order to construct a metric or a norm on a certain set by means of a
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Miñana, Juan-José, and Oscar Valero. "Characterizing quasi-metric aggregation functions." International Journal of General Systems 48, no. 8 (2019): 890–909. http://dx.doi.org/10.1080/03081079.2019.1671381.

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Massanet, Sebastià, and Oscar Valero. "On aggregation of metric structures: the extended quasi-metric case." International Journal of Computational Intelligence Systems 6, no. 1 (2013): 115–26. http://dx.doi.org/10.1080/18756891.2013.756228.

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Alotaibi, Dalha Alhumaidi, Jianlong Zhou, Yifei Dong, Jia Wei, Xin Janet Ge, and Fang Chen. "Quantile Multi-Attribute Disparity (QMAD): An Adaptable Fairness Metric Framework for Dynamic Environments." Electronics 14, no. 8 (2025): 1627. https://doi.org/10.3390/electronics14081627.

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Fairness is becoming indispensable for ethical machine learning (ML) applications. However, it remains a challenge to identify unfairness if there are changes in the distribution of underlying features among different groups and machine learning outputs. This paper proposes a novel fairness metric framework considering multiple attributes, including ML outputs and feature variations for bias detection. The framework comprises two principal components, comparison and aggregation functions, which collectively ensure fairness metrics with high adaptability across various contexts and scenarios. T
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Dissertations / Theses on the topic "Metric aggregation"

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Ljubo, Nedović. "Neki tipovi rastojanja i fazi mera sa primenom u obradi slika." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104792&source=NDLTD&language=en.

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Doktorska disertacija izučava primenu fazi operacija, prvenstveno agregacionih operatora na funkcije rastojanja i metrike. Originalan doprinos teze je u konstrukciji novih funkcija rastojanja i metrika primenom agregacionih operatora na neke polazne funkcije rastojanja i metrike. Za neke tipove agregacionih operatora i polaznih funkcija rastojanja i metrika su ispitane osobine ovako konstruisanih funkcija rastojanja i metrika. Za neke od njih su ispitane performanse pri primeni u segmentaciji slike &bdquo;Fuzzy c-means&ldquo; algoritmom.<br>This thesis studies application of fuzzy operations,
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Bengtsson, Mattias. "Mathematical foundation needed for development of IT security metrics." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9766.

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<p>IT security metrics are used to achieve an IT security assessment of certain parts of the IT security environment. There is neither a consensus of the definition of an IT security metric nor a natural scale type of the IT security. This makes the interpretation of the IT security difficult. To accomplish a comprehensive IT security assessment one must aggregate the IT security values to compounded values.</p><p>When developing IT security metrics it is important that permissible mathematical operations are made so that the information are maintained all the way through the metric. There is
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van, Straaten Dirk [Verfasser]. "Inferring quality with reputation systems : experimental evidence on elicitation mechanisms and aggregation metrics / Dirk van Straaten." Paderborn : Universitätsbibliothek, 2021. http://nbn-resolving.de/urn:nbn:de:hbz:466:2-39484.

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Laubé, Alexandre. "Agrégation de trafic pour réduire la consommation énergétique globale dans les réseaux sans fil multi-sauts." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS298/document.

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Les incitations économiques et environnementales poussent dorénavant à intégrer des considérations énergétiques dès les premiers stades de développement des réseaux. Dans les réseaux sans fil multi-sauts, l'approche la plus courante consiste à répartir le trafic sur l'ensemble des nœuds afin de réduire équitablement la consommation énergétique de chacun, avec pour objectif la maximisation de la durée de vie du réseau. Or cette approche n'est pas optimale vis-à-vis de la consommation globale du réseau, le niveau d'activité d'un nœud n'ayant souvent que peu d'influence sur sa propre consommation
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Pleehajinda, Parawee. "Database centric software test management framework for test metrics." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-187120.

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Big amounts of test data generated by the current used software testing tools (QA-C/QA-C++ and Cantata) contain a variety of different values. The variances cause enormous challenges in data aggregation and interpretation that directly affect generation of test metrics. Due to the circumstance of data processing, this master thesis introduces a database-centric test management framework for test metrics aims at centrally handling the big data as well as facilitating the generation of test metrics. Each test result will be individually parsed to be a particular format before being stored in a c
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Santos, Douglas Arnold Silveira Gioielli. "Preparação e caracterização de nanopartículas de metais nobres pelo método de agregação gasosa." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-22102018-031310/.

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Dentre os principais avanços na área de ciência ou tecnologia dos materiais podemos ressaltar as atuais técnicas de produção, manipulação e análise de estruturas de tamanho muito reduzido, os quais possuem propriedades físicas (magnéticas, eletrônicas e óticas) diferentes das apresentadas pelos mesmos materiais em estruturas maiores. Nanopartículas (NPs) de metais nobres, principalmente ouro e prata, estão sendo utilizadas e incorporadas em diversas tecnologias que tiram proveito de suas características óticas ou condutivas Neste trabalho apresentamos uma metodologia de preparação de NPs de me
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Ansari, Almas Yuan Xin. "Topology aggregation for networks with two additive metrics." 2004. http://etd.lib.fsu.edu/theses/available/etd-07122004-144319.

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Thesis (M.S.)--Florida State University, 2004.<br>Advisor: Dr. Xin Yuan, Florida State University, College ofArts and Sciences, Dept. of Computer Science. Title and description from dissertation home page (viewed Sept. 24, 2004). Includes bibliographical references.
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Books on the topic "Metric aggregation"

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Hehl, Friedrich W. Foundations of Classical Electrodynamics: Charge, Flux, and Metric. Birkhäuser Boston, 2003.

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Gromov, Mikhael. Metric structures for Riemannian and non-Riemannian spaces. Birkhäuser, 1999.

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Metric structures for Riemannian and non-Riemannian spaces. Birkhäuser, 2007.

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Golan, Amos. Foundations of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.001.0001.

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This book provides a framework for info-metrics—the science of modeling, inference, and reasoning under conditions of noisy and insufficient information. Info-metrics is an inherently interdisciplinary framework that emerged from the intersection of information theory, statistical inference, and decision-making under uncertainty. It allows us to process the available information with minimal reliance on assumptions that cannot be validated. This book focuses on unifying all information processing and model building within a single constrained optimization framework. It provides a complete fram
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Mehdi, Ali. A Shot of Justice. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199490592.001.0001.

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Children have been guaranteed an equal right to life, yet millions of them continue to die due to preventable causes. Their deaths are widely perceived as a biomedical issue, with vaccinations being presented as the ultimate life-saving intervention. This book argues that a clear and consistent pattern of preventable child deaths is primarily a problem of justice. It engages with the debate on ‘equalisandum’—what (metric) needs to be equalized across individuals in a just society—in modern theories of justice in the context of trends in child survival and access to its determinants among selec
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Duffy, Brooke Erin. Rethinking Readership. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037962.003.0005.

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This chapter examines how the transformations associated with digitization are reshaping the ways in which publishers of women's magazines think about readership by focusing on their constructions of audiences. Editors and publishers of women's magazines have long targeted narrowly defined segments of the female populace based upon demographic factors (age, household income, marital status, educational level, and sometimes even race) as well as lifestyle traits and behaviors. They draw upon surveys and other measurement techniques to understand these segments and craft detailed profiles of the
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Book chapters on the topic "Metric aggregation"

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Zvi, Gil Ben, Eyal Leizerovich, and Nimrod Talmon. "Iterative Deliberation via Metric Aggregation." In Algorithmic Decision Theory. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87756-9_11.

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Miñana, Juan-José, and Óscar Valero. "What Is the Aggregation of a Partial Metric and a Quasi-metric?" In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91473-2_20.

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Desarkar, Maunendra Sankar, Rahul Joshi, and Sudeshna Sarkar. "Displacement Based Unsupervised Metric for Evaluating Rank Aggregation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21786-9_44.

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Asmuss, Svetlana, and Pavels Orlovs. "Fuzzy Metric Approach to Aggregation of Risk Levels." In Computational Intelligence and Mathematics for Tackling Complex Problems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16024-1_22.

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Serra-Moll, M. A., O. Martorell-Cunill, C. Mulet-Forteza, and O. Valero. "On Metric Aggregation Functions and Fuzzy Decision-Making." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-97225-6_7.

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Milbich, Timo, Karsten Roth, Homanga Bharadhwaj, et al. "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58598-3_35.

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Ferrante, Enzo, Puneet K. Dokania, Rafael Marini, and Nikos Paragios. "Deformable Registration Through Learning of Context-Specific Metric Aggregation." In Machine Learning in Medical Imaging. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67389-9_30.

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Mir-Fuentes, Arnau, Homeira Pajoohesh, and Oscar Valero. "Aggregation of Fuzzy Relations: The Bounded Partial Metric Case." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67192-0_22.

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Shahidi, Mina, Rosana Rodríguez-López, and Estevão Esmi. "Some Existence Results for Fuzzy Differential Equations with a Metric-Basic Derivative of Type (ii)." In Fuzzy Logic and Technology, and Aggregation Operators. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-39965-7_5.

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Xiong, Mingfu, Yang Xu, Xiangguo Huang, Yi Wen, Tao Peng, and Xinrong Hu. "Deep Metric Learning with Feature Aggregation for Generalizable Person Re-identification." In Communications in Computer and Information Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2681-6_14.

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Conference papers on the topic "Metric aggregation"

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Soumplis, P., K. Christodoulopoulos, K. Yiannopoulos, and E. Varvarigos. "QoS-aware Resource Allocation in Point to Multipoint (P2MP) Metro Aggregation Networks." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.th3d.2.

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We examine dynamic resource allocation using Coherent Point-to-Multipoint (P2MP) transceivers for metro aggregation. Dynamic scheduling improves resource utilization, ensuring high-priority traffic capacity and adaptability, while reducing transceiver needs and costs compared to static methods.
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Pessina, Daniele, Jorge Calderon de Anda, Claire Heffernan, et al. "Model-based approach to template-induced macromolecule crystallisation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.131246.

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Biomacromolecules have intricate crystallisation behaviour due to their size and many interactions in solution and can often only crystallise in narrow ranges of experimental conditions. High solute concentrations are needed for crystal nucleation and growth, exceeding those eluted upstream and therefore preventing the adoption of crystallisation in downstream separation steps. By promoting molecular aggregation and nucleation via a lowered energy barrier, heterogeneous surfaces or templates can relax the supersaturation requirements and widen the crystallisation operating space. Though templa
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Biagiotti, Stephen F., Peter A. Wood, and Timothy Z. Eckert. "Strategic NDE Results Collaboration Yields Industry Insights." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-08859.

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Abstract In 2007, the U.S. nuclear power industry began experiencing buried and underground piping leaks. Nuclear power plants can have between 10 and 50 miles (16-80 km) of buried piping per generating unit. This piping is made from a variety of materials (e.g., carbon steels, cast irons, stainless steel and other alloy materials), some of which was installed with or without coatings, and some of which operates with or without cathodic protection (CP). Many of the pipes can contain tritium in the fluids, which is a radioactive isotope of hydrogen created during the nuclear fission process. Th
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Rousselot, Maxime, Xavier Ducloux, Olivier Le Meur, and Remi Cozot. "Quality Metric Aggregation for HDR/WCG Images." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803635.

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Zhang, Dingyi, Yingming Li, and Zhongfei Zhang. "Multi-Scale Similarity Aggregation for Dynamic Metric Learning." In MM '23: The 31st ACM International Conference on Multimedia. ACM, 2023. http://dx.doi.org/10.1145/3581783.3612547.

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Mordal-Manet, Karine, Jannik Laval, Stephane Ducasse, et al. "An Empirical Model for Continuous and Weighted Metric Aggregation." In 2011 15th European Conference on Software Maintenance and Reengineering (CSMR). IEEE, 2011. http://dx.doi.org/10.1109/csmr.2011.20.

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Wolski, Marcin, Bartosz Walter, Szymon Kupinski, and Patryk Prominski. "One Metric to Combine Them All: Experimental Comparison of Metric Aggregation Approaches in Software Quality Models." In 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2016. http://dx.doi.org/10.1109/iwsm-mensura.2016.031.

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Orlovs, P., and S. Asmuss. "Upper and lower general aggregation operators based on a strong fuzzy metric." In Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813273238_0022.

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Rajaguru, Harikumar, and Sunil Kumar Prabhakar. "Metric multidimensional scaling and aggregation operators for classifying epilepsy from EEG signals." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8203600.

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Dong, Hexin, Zifan Chen, Mingze Yuan, et al. "Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/121.

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As one of the most challenging and practical segmentation tasks, open-world semantic segmentation requires the model to segment the anomaly regions in the images and incrementally learn to segment out-of-distribution (OOD) objects, especially under a few-shot condition. The current state-of-the-art (SOTA) method, Deep Metric Learning Network (DMLNet), relies on pixel-level metric learning, with which the identification of similar regions having different semantics is difficult. Therefore, we propose a method called region-aware metric learning (RAML), which first separates the regions of the i
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Reports on the topic "Metric aggregation"

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Angrist, Noam, and Rachael Meager. Implementation matters: Generalising treatment effects in education. What Works Hub for Global Education, 2023. http://dx.doi.org/10.35489/bsg-whatworkshubforglobaleducation-wp_2023/03.

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Targeted instruction is one of the most effective educational interventions in low- and middle-income countries, yet reported impacts vary by an order of magnitude. We study this variation by aggregating evidence from prior randomised trials across five contexts, and use the results to inform a new randomised trial. We find two factors explain most of the heterogeneity in effects across contexts: the degree of implementation (intention-to-treat or treatment-on-the-treated) and program delivery model (teachers or volunteers). Accounting for these implementation factors yields high generalisabil
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