Literatura científica selecionada sobre o tema "Historical networks"
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Artigos de revistas sobre o assunto "Historical networks"
Goldfarb, Doron, Max Arends, Josef Froschauer e Dieter Merkl. "Comparing Art Historical Networks". Leonardo 46, n.º 3 (junho de 2013): 279. http://dx.doi.org/10.1162/leon_a_00575.
Texto completo da fonteAlcantara, Marlon C., Marco Braga e Charles van den Heuvel. "Historical Networks in Science Education". Science & Education 29, n.º 1 (9 de janeiro de 2020): 101–21. http://dx.doi.org/10.1007/s11191-019-00096-4.
Texto completo da fonteJu, Harang, Dale Zhou, Ann S. Blevins, David M. Lydon-Staley, Judith Kaplan, Julio R. Tuma e Dani S. Bassett. "Historical growth of concept networks in Wikipedia". Collective Intelligence 1, n.º 2 (outubro de 2022): 263391372211098. http://dx.doi.org/10.1177/26339137221109839.
Texto completo da fonteKaiser, Wolfram. "Bringing History Back In To the Study of Transnational Networks in European Integration". Journal of Public Policy 29, n.º 2 (3 de julho de 2009): 223–39. http://dx.doi.org/10.1017/s0143814x09001032.
Texto completo da fonteTambs, Lena, Michela De Bernardin, Marta Lorenzon e Arianna Traviglia. "Bridging Historical, Archaeological and Criminal Networks". Journal of Computer Applications in Archaeology 7, n.º 1 (2024): 1–7. http://dx.doi.org/10.5334/jcaa.141.
Texto completo da fonteKuzmina, Anna V., e Sergey D. Borisov. "Social networks as a search tool for historical sources". SHS Web of Conferences 103 (2021): 02017. http://dx.doi.org/10.1051/shsconf/202110302017.
Texto completo da fonteMacKay, Jon. "Networks of Canadian Business Elites: Historical Corporate Interlock Networks circa 1912". Connections 39, n.º 1 (2019): 1–3. http://dx.doi.org/10.21307/connections-2019-001.
Texto completo da fonteSkeirik, Richard D. "Historical database training method for neural networks". Laboratory Automation & Information Management 33, n.º 2 (dezembro de 1997): 148–49. http://dx.doi.org/10.1016/s1381-141x(97)80032-9.
Texto completo da fonteSuissa, Omri, Maayan Zhitomirsky-Geffet e Avshalom Elmalech. "Toward a Period-specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts". Journal on Computing and Cultural Heritage 15, n.º 2 (30 de junho de 2022): 1–20. http://dx.doi.org/10.1145/3479159.
Texto completo da fontePan, Yi-Ru, Pang Hsiao, Chen-Yu Chang, Wen-Jong Ma, Hsiang Hsiao, Pei-Jung Lin, Shih-Chieh Wang, Hui-Jie Yang, Ting-Ting Chi e Chin-Kun Hu. "Universality and scaling in complex networks from periods of Chinese history". Chaos: An Interdisciplinary Journal of Nonlinear Science 33, n.º 1 (janeiro de 2023): 011101. http://dx.doi.org/10.1063/5.0134923.
Texto completo da fonteTeses / dissertações sobre o assunto "Historical networks"
Ahrneteg, Jakob, e Dean Kulenovic. "Semantic Segmentation of Historical Document Images Using Recurrent Neural Networks". Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18219.
Texto completo da fonteBakgrund. Detta arbete handlar om semantisk segmentering av historiska dokument med recurrent neural network. Semantisk segmentering av dokument inbegriper att dela in ett dokument i olika regioner, något som är viktigt för att i efterhand kunna utföra automatisk dokument analys och digitalisering med optisk teckenläsning. Vidare är convolutional neural network det främsta alternativet för bearbetning av dokument bilder medan recurrent neural network aldrig har använts för semantisk segmentering av dokument. Detta är intressant eftersom om vi tar hänsyn till hur ett recurrent neural network fungerar och att recurrent neural network har uppnått mycket bra resultat inom binär bearbetning av dokument, borde det likväl vara möjligt att använda ett recurrent neural network för semantisk segmentering av dokument och även här uppnå bra resultat. Syfte. Syftet med arbetet är att undersöka om ett recurrent neural network kan uppnå ett likvärdigt resultat jämfört med ett convolutional neural network för semantisk segmentering av dokument. Vidare är syftet även att undersöka om en kombination av ett convolutional neural network och ett recurrent neural network kan ge ett bättre resultat än att bara endast använda ett recurrent neural network. Metod. För att kunna avgöra om ett recurrent neural network är ett lämpligt alternativ för semantisk segmentering av dokument utvärderas prestanda resultatet för tre olika modeller av recurrent neural network. Därefter jämförs dessa resultat med prestanda resultatet för ett convolutional neural network. Vidare utförs förbehandling av bilder och multi klassificering för att modellerna i slutändan ska kunna producera mätbara resultat av uppskattnings bilder. Resultat. Genom att utvärdera prestanda resultaten för modellerna kan vi i en jämförelse med den bästa modellen och ett convolutional neural network uppmäta en prestanda skillnad på 2.7%. Noterbart i det här fallet är att den bästa modellen uppvisar en jämnare fördelning av prestanda. För de två modellerna som uppvisade en lägre prestanda kan slutsatsen dras att deras utfall beror på en lägre modell komplexitet. Vidare vid en jämförelse av dessa två modeller, där den ena har en kombination av ett convolutional neural network och ett recurrent neural network medan den andra endast har ett recurrent neural network uppmäts en prestanda skillnad på 4.9%. Slutsatser. Resultatet antyder att ett recurrent neural network förmodligen är ett lämpligt alternativ till ett convolutional neural network för semantisk segmentering av dokument. Vidare dras slutsatsen att en kombination av de båda varianterna bidrar till ett bättre prestanda resultat.
Pister, Alexis. "Visual Analytics for Historical Social Networks : Traceability, Exploration, and Analysis". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG081.
Texto completo da fonteThis thesis aims at identifying theoretically and concretely how visual analytics can support historians in their social network analysis process. Historical social network analysis is a method to study social relationships between groups of actors (families, institutions, companies, etc.) through a reconstruction of relationships of the past from historical documents, such as marriage acts, migration forms, birth certificates, and censuses. The use of visualization and analytical methods lets social historians explore and describe the social structure shaping those groups while explaining sociological phenomena and individual behaviors through computed network measures. However, the inspection and encoding of the sources leading to a finalized network is intricate and often results in inconsistencies, errors, distortions, and traceability problems, and current visualization tools typically have usability and interpretability issues. For these reasons, social historians are not always able to make thorough historical conclusions: many studies consist of qualitative descriptions of network drawings highlighting the presence of motifs such as cliques, components, bridges, etc. The goal of this thesis is therefore to propose visual analytics tools integrated into the global social historians' workflow, with guided and easy-to-use analysis capabilities. From collaborations with historians, I formalize the workflow of historical network analysis starting at the acquisition of sources to the final visual analysis. By highlighting recurring pitfalls, I point out that tools supporting this process should satisfy traceability, simplicity, and document reality principles to ease bask and forth between the different steps, provide tools easy to manipulate, and not distort the content of sources with modifications and simplifications. To satisfy those properties, I propose to model historical sources into bipartite multivariate dynamic social networks with roles as they provide a good tradeoff of simplicity and expressiveness while modeling explicitly the documents, hence letting users encode, correct, and analyze their data with the same abstraction and tools. I then propose two interactive visual interfaces to manipulate, explore, and analyze this data model, with a focus on usability and interpretability. The first system ComBiNet allows an interactive exploration leveraging the structure, time, localization, and attributes of the data model with the help of coordinated views and a visual query system allowing users to isolate interesting groups and individuals, and compare their position, structures, and properties. It also lets them highlight erroneous and inconsistent annotations directly in the interface. The second system, PK-Clustering, is a concrete proposition to enhance the usability and effectiveness of clustering mechanisms in social network visual analytics systems. It consists in a mixed-initiative clustering interface that let social scientists create meaningful clusters with the help of their prior knowledge, algorithmic consensus, and interactive exploration of the network. Both systems have been designed with continuous feedback from social historians, and aim to increase the traceability, simplicity, and document reality of visual analytics supported historical social network research. I conclude with discussions on the potential merging of both tools, and more globally on research directions towards better integration of visual analytics systems on the whole workflow of social historians. Systems with a focus on those properties---traceability, simplicity, and document reality---can limit the introduction of bias while lowering the requirements for the use of quantitative methods for historians and social scientists which has always been a controversial discussion among practitioners
Banavas, Georgios Nikolaos. "Prognosis : historical pattern matching for economic forecasting and trading". Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/1642.
Texto completo da fonteBjarnle, Johan, e Elias Holmström. "Implementation and Evaluation of Historical Consistent Neural Networks Using Parallel Computing". Thesis, Linköpings universitet, Medie- och Informationsteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119983.
Texto completo da fonteBremberg, Ulrika, Liv Cederin, Gabriel Lindgren e Filip Pagliaro. "Classifying Age and Gender on Historical Photographs using Convolutional Neural Networks". Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445914.
Texto completo da fonteDetta projekt ämnar att klassificera kön och ålder i historiska fotografier. Målet var att demonstrera en algoritm som är specialinriktad på historiska bilder, samt ett gränssnitt där användare kan ladda upp bilder och få dem klassificerade. Projektet syftar till att underlätta historisk forskning genom att bidra med nya verktyg för bildanalys. Algoritmen är utvecklad i programmeringsspråket Python och använder Convolutional Neural Networks (CNN) för att klassificera kön och ålder. Användargränsnittet är utvecklat i JavaScript ramverket React.js och kommunicerar med Python algoritmen via en Node.js server. De huvudsakliga resultaten är att noggrannheten för klassificeringsalgoritmen för kön ligger på 96\%, medan klassificeringsalgoritmen för ålder har ett medelfel på 4.3 år. Resultaten indikerar även att våra algoritmer presterar bättre på historiska bilder än redan befintliga välkända klassificeringsmodeller.
Stewart, Seth Andrew. "Fully Convolutional Neural Networks for Pixel Classification in Historical Document Images". BYU ScholarsArchive, 2018. https://scholarsarchive.byu.edu/etd/7064.
Texto completo da fonteDowney, Sean S. "Resilient Networks and and the Historical Ecology of Q'eqchi' Maya Swidden Agriculture". Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/195686.
Texto completo da fonteMetcalfe, Stuart. "International business networks in historical perspective : the case of the Borneo Company Limited". Thesis, London South Bank University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264864.
Texto completo da fonteSukthomya, Wimalin. "Manufacturing process improvement using design of experiments and neural networks with historical data". Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403997.
Texto completo da fonteAdams, Ashley Adams. "Examining the Cultural and Historical Impact of the National Historic Site Designation in Nicodemus, Kansas". ScholarWorks, 2016. https://scholarworks.waldenu.edu/dissertations/2708.
Texto completo da fonteLivros sobre o assunto "Historical networks"
International communication and global news networks: Historical perspectives. New York: Hampton Press, 2011.
Encontre o texto completo da fonteAkii, Tumu, e Pupu Nitze, eds. Historical vines: Enga networks of exchange, ritual, and warfare in Papua New Guinea. Washington, D.C: Smithsonian Institution Press, 1998.
Encontre o texto completo da fonteNetworks of global governance: International organisations and European integration in a historical perspective. Newcastle upon Tyne: Cambridge Scholars Publishing, 2014.
Encontre o texto completo da fonteWijasuriya, D. E. K. Contributions towards the Malaysian library and information infrastructure: A historical perspective / D.E.K. Wijasuriya. Petaling Jaya, Selangor, Malaysia: MPH Pub., 2011.
Encontre o texto completo da fonteWijasuriya, D. E. K. Contributions towards the Malaysian library and information infrastructure: A historical perspective / D.E.K. Wijasuriya. Petaling Jaya, Selangor, Malaysia: MPH Pub., 2011.
Encontre o texto completo da fonte(Organization), National History Day, ed. How to create a historical web site. College Park, MD: National History Day, 2008.
Encontre o texto completo da fonteSpatio-temporal narratives: Historical GIS and the study of global trading networks (1500-1800). Newcastle upon Tyne: Cambridge Scholars Publishing, 2014.
Encontre o texto completo da fonteJob, Amy G. Development of the library network structure in New Jersey from 1964 to 1984: An historical analytical study. Ann Arbor, Mich: University Microfilms International, 1987.
Encontre o texto completo da fonteSocial networks and historical sociolinguistics: Studies in morphosyntactic variation in the Paston letters, 1421-1503. Berlin: Mouton de Gruyter, 2005.
Encontre o texto completo da fonteWang, Huei-Huang. Technology, economic security, state, and the political economy of economic networks: A historical and comparative research on the evolution of economic networks in Taiwan and Japan. Lanham, Md: University Press of America, 1998.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Historical networks"
Trim, Richard. "Historical Mindsets". In Metaphor Networks, 152–66. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230287556_10.
Texto completo da fonteTrim, Richard. "Historical Models of Love Metaphors". In Metaphor Networks, 211–21. London: Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230287556_13.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "The Nature of Logic". In Science Networks. Historical Studies, 1–12. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_1.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "The Philosophy of Reasoning". In Science Networks. Historical Studies, 123–25. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_10.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "Logic". In Science Networks. Historical Studies, 126–53. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_11.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "On Belief in Its Relation to the Understanding". In Science Networks. Historical Studies, 157–61. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_12.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "The Philosophical Idea of Freedom". In Science Networks. Historical Studies, 162–63. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_13.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "Note [to Aristotle]". In Science Networks. Historical Studies, 164–66. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_14.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "Philosophy of Mathematics". In Science Networks. Historical Studies, 167–78. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_15.
Texto completo da fonteGrattan-Guinness, Ivor, e Gérard Bornet. "[Various fragments, apparently late]". In Science Networks. Historical Studies, 179–90. Basel: Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8859-2_16.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Historical networks"
Akoka, Jacky, Isabelle Comyn-Wattiau, Stéphane Lamasse e Cedric Du Mouza. "Modeling Historical Social Networks Databases". In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2019. http://dx.doi.org/10.24251/hicss.2019.334.
Texto completo da fonteDeligiannakis, Antonios, Yannis Kotidis e Nick Roussopoulos. "Compressing historical information in sensor networks". In the 2004 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1007568.1007628.
Texto completo da fonteVolna, E., R. Jarusek e M. Kotyrba. "Historical image processing using neural networks". In 2013 International Conference on Advanced Materials and Information Technology Processing. Southampton, UK: WIT Press, 2014. http://dx.doi.org/10.2495/amitp130831.
Texto completo da fonteLi, Pui Hang, Man Lung Yiu e Kyriakos Mouratidis. "Historical traffic-tolerant paths in road networks". In SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2666310.2666483.
Texto completo da fontePondenkandath, Vinaychandran, Michele Alberti, Michael Diatta, Rolf Ingold e Marcus Liwicki. "Historical Document Synthesis with Generative Adversarial Networks". In 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW). IEEE, 2019. http://dx.doi.org/10.1109/icdarw.2019.40096.
Texto completo da fonte"NETWORKS OF EVOLUTIONARY PROCESSORS - A Historical Account". In Special Session on Bio-Inspired Multi-Agent Systems. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001809406260631.
Texto completo da fonteJiao, Chenjing, Magnus Heitzler e Lorenz Hurni. "Extracting Wetlands from Swiss Historical Maps with ConvolutionalNeural Networks". In International Workshop on Automatic Vectorisation of Historical Maps. Department of Cartography and Geoinformatics ELTE, 2020. http://dx.doi.org/10.21862/avhm2020.03.
Texto completo da fontePetit, Loïc, Abdelhamid Nafaa e Raja Jurdak. "Historical data storage for large scale sensor networks". In the 5th French-Speaking Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1739268.1739278.
Texto completo da fonteGhanim, Mohammad S., Ghassan Abu-Lebdeh e Kamran Ahmed. "Modeling historical traffic data using artificial neural networks". In 2013 5th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO 2013). IEEE, 2013. http://dx.doi.org/10.1109/icmsao.2013.6552717.
Texto completo da fonteYu, Wenwu, Rui Wang, Ruiying Li, Jing Gao e Xiaohui Hu. "Historical Best Q-Networks for Deep Reinforcement Learning". In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2018. http://dx.doi.org/10.1109/ictai.2018.00012.
Texto completo da fonteRelatórios de organizações sobre o assunto "Historical networks"
Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo e Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], novembro de 2018. http://dx.doi.org/10.31812/123456789/2648.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: Southern Plains Inventory & Monitoring Network. National Park Service, junho de 2022. http://dx.doi.org/10.36967/nrr-2293756.
Texto completo da fontePilgun, M., e IM Dzyaloshinsky. On-line Сommunication and Social Reality in the Content of Users of Russian-Speaking Social Networks: Representation of the Historical Context. Revista Latina de Comunicación Social, setembro de 2017. http://dx.doi.org/10.4185/rlcs-2017-1205en.
Texto completo da fonteHenderson, Tim, Vincet Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: North Coast and Cascades Inventory & Monitoring Network. National Park Service, março de 2022. http://dx.doi.org/10.36967/nrr-2293013.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: Sonoran Desert Inventory & Monitoring Network. National Park Service, setembro de 2022. http://dx.doi.org/10.36967/2294374.
Texto completo da fonteHenderson, Tim, Vincent Santucci, Tim Connors e Justin Tweet. National Park Service geologic type section inventory: National Capital Region Inventory & Monitoring Network. National Park Service, julho de 2022. http://dx.doi.org/10.36967/2293865.
Texto completo da fonteDe la Veha Shiota González, Vania. Working Paper PUEAA No. 10. Japanese Investment in Mexico: Challenges for the 2020 Decade. Universidad Nacional Autónoma de México, Programa Universitario de Estudios sobre Asia y África, 2022. http://dx.doi.org/10.22201/pueaa.008r.2022.
Texto completo da fonteBerger, Thor, e Erik Prawitz. Collaboration and Connectivity: Historical Evidence from Patent Records. Department of Economics and Statistics, Linnaeus University, abril de 2023. http://dx.doi.org/10.15626/ns.wp.2023.02.
Texto completo da fontePulugurtha, Srinivas S., Abimbola Ogungbire e Chirag Akbari. Modeling and Evaluating Alternatives to Enhance Access to an Airport and Meet Future Expansion Needs. Mineta Transportation Institute, abril de 2023. http://dx.doi.org/10.31979/mti.2023.2120.
Texto completo da fontePouliquen, Sylvie. Network harmonization recommendations. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d3.7.
Texto completo da fonte