Relevant bibliographies by topics / TreeNet

Contents

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

Academic literature on the topic 'TreeNet'

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

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Journal articles on the topic "TreeNet"

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Changpetch, Pannapa. "Multinomial Logit Model Building via TreeNet and Association Rules Analysis: An Application via a Thyroid Dataset." Symmetry 13, no. 2 (2021): 287. http://dx.doi.org/10.3390/sym13020287.

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A model-building framework is proposed that combines two data mining techniques, TreeNet and association rules analysis (ASA) with multinomial logit model building. TreeNet provides plots that play a key role in transforming quantitative variables into better forms for the model fit, whereas ASA is important in finding interactions (low- and high-order) among variables. With the implementation of TreeNet and ASA, new variables and interactions are generated, which serve as candidate predictors in building an optimal multinomial logit model. A real-life example in the context of health care is
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ŞEVGİN, Hikmet. "A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms." International Journal of Assessment Tools in Education 10, no. 3 (2023): 544–62. http://dx.doi.org/10.21449/ijate.1167705.

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This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABİDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods combining decision trees via Bagging and Boosting algorithms and creating a single outcome by combining the outputs obtained from each of them. The data set consists of mathematics scores of ABİDE (Academic Skills Monitoring and Evaluation) 2016 impl
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Nasir, Vahid, Laurence Schimleck, Farshid Abdoli, Maria Rashidi, Farrokh Sassani, and Stavros Avramidis. "Quality Control of Thermally Modified Western Hemlock Wood Using Near-Infrared Spectroscopy and Explainable Machine Learning." Polymers 15, no. 20 (2023): 4147. http://dx.doi.org/10.3390/polym15204147.

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The quality control of thermally modified wood and identifying heat treatment intensity using nondestructive testing methods are critical tasks. This study used near-infrared (NIR) spectroscopy and machine learning modeling to classify thermally modified wood. NIR spectra were collected from the surfaces of untreated and thermally treated (at 170 °C, 212 °C, and 230 °C) western hemlock samples. An explainable machine learning approach was practiced using a TreeNet gradient boosting machine. No dimensionality reduction was performed to better explain the feature ranking results obtained from th
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Lawry, D., G. M. Moore, and D. Peacock. "The TREENET Avenues of Honour Project 1915-2015." Acta Horticulturae, no. 1108 (February 2016): 31–40. http://dx.doi.org/10.17660/actahortic.2016.1108.4.

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Zweifel, Roman, Sophia Etzold, David Basler, et al. "TreeNet: The Biological Drought and Growth Indicator Network." Frontiers in Forests and Global Change 4, no. 776905 (2021): 1–14. https://doi.org/10.5281/zenodo.5879101.

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The TreeNet research and monitoring network has been continuously collecting data from point dendrometers and air and soil microclimate using an automated system since 2011. The goal of TreeNet is to generate high temporal resolution datasets of tree growth and tree water dynamics for research and to provide near real-time indicators of forest growth performance and drought stress to a wide audience. This paper explains the key working steps from the installation of sensors in the field to data acquisition, data transmission, data processing, and online visualization. Moreover, we discuss the
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Abdi, Omid. "Climate-Triggered Insect Defoliators and Forest Fires Using Multitemporal Landsat and TerraClimate Data in NE Iran: An Application of GEOBIA TreeNet and Panel Data Analysis." Sensors 19, no. 18 (2019): 3965. http://dx.doi.org/10.3390/s19183965.

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Despite increasing the number of studies for mapping remote sensing insect-induced forest infestations, applying novel approaches for mapping and identifying its triggers are still developing. This study was accomplished to test the performance of Geographic Object-Based Image Analysis (GEOBIA) TreeNet for discerning insect-infested forests induced by defoliators from healthy forests using Landsat 8 OLI and ancillary data in the broadleaved mixed Hyrcanian forests. Moreover, it has studied mutual associations between the intensity of forest defoliation and the severity of forest fires under Te
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Changpetch, Pannapa. "Gambling Consumers in Thailand." Asian Social Science 13, no. 5 (2017): 136. http://dx.doi.org/10.5539/ass.v13n5p136.

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This paper presents a study of household gambling consumption in Thailand in 2011. We investigate the nonlinear relationships between this behavior and household alcohol expenditure, household gambling expenditure, and demographic factors. We use Treenet to analyze datasets drawn from a socio-economic survey of 42,083 Thai households conducted in 2011. The results show that the five most significant variables in order of importance for predicting the likelihood of household gambling consumption are household income, household region, work status of the household head, religion of the household
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Padmaja, B., V. V. Rama Prasad, and K. V. N. Sunitha. "TreeNet Analysis of Human Stress Behavior using Socio-Mobile Data." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 2 (2016): 446. http://dx.doi.org/10.11591/ijeecs.v3.i2.pp446-452.

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Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction features and social surveys for finding human stress behavior. For this, we gathered mobile phone call logs data set containing 111444 voice calls of 131 adult members of a living community for a period of more than 5 months. And we identified that top 5 social network measures like hierarchy, density, farness, reachability and eigenvector of individuals have profound influence on individuals st
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Zhang, Shuming, and Dali Xu. "DPFANet: Deep Point Feature Aggregation Network for Classification of Irregular Objects in LIDAR Point Clouds." Electronics 13, no. 22 (2024): 4355. http://dx.doi.org/10.3390/electronics13224355.

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Point cloud data acquired by scanning with Light Detection and Ranging (LiDAR) devices typically contain irregular objects, such as trees, which lead to low classification accuracy in existing point cloud classification methods. Consequently, this paper proposes a deep point feature aggregation network (DPFANet) that integrates adaptive graph convolution and space-filling curve sampling modules to effectively address the feature extraction problem for irregular object point clouds. To refine the feature representation, we utilize the affinity matrix to quantify inter-channel relationships and
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Padmaja, B., V. V. Rama Prasad, and K. V. N. "TreeNet Analysis of Human Stress Behavior using Socio-Mobile Data." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 1 (2016): 148. http://dx.doi.org/10.11591/ijeecs.v4.i1.pp148-154.

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<p>Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction features and social surveys for finding human stress behavior. For this, we gathered mobile phone call logs data set containing 111444 voice calls of 131 adult members of a living community for a period of more than 5 months. And we identified that top 5 social network measures like hierarchy, density, farness, reachability and eigenvector of individuals have profound influence on indiv
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Dissertations / Theses on the topic "TreeNet"

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Wickert, Claudia. "Breeding white storks in former East Prussia : comparing predicted relative occurrences across scales and time using a stochastic gradient boosting method (TreeNet), GIS and public data." Master's thesis, Universität Potsdam, 2007. http://opus.kobv.de/ubp/volltexte/2007/1353/.

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In dieser Arbeit wurden verschiedene GIS-basierte Habitatmodelle für den Weißstorch (Ciconia ciconia) im Gebiet der ehemaligen deutschen Provinz Ostpreußen (ca. Gebiet der russischen Exklave Kaliningrad und der polnischen Woiwodschaft Ermland-Masuren) erstellt. Zur Charakterisierung der Beziehung zwischen dem Weißstorch und der Beschaffenheit seiner Umwelt wurden verschiedene historische Datensätze über den Bestand des Weißstorches in den 1930er Jahren sowie ausgewählte Variablen zur Habitat-Beschreibung genutzt. Die Aufbereitung und Modellierung der verwendeten Datensätze erfolgte mit Hilfe e
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Jemberie, Wossenseged Birhane. "Diet, Emission and Diabetes : A treelet transform pattern analysis on Västerbotten Intervention Program." Thesis, Umeå universitet, Epidemiologi och global hälsa, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-152624.

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Objective: Researches which studied the relation of dietary greenhouse gas emissions with health outcomes are few, inconsistent and most of them are modelling studies which have not investigated empiric dietary emission patterns. In this study, we employ a posteriori data dimension reduction method, treelet transform, to identify dietary and diet related emission patterns concurrently. We aim to evaluate if these patterns are correlated, if they areassociated with diabetes and if emission patterns can be used as a proxy for dietary patterns for assessment of association with diabetes. Design:
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Rohden, Jens-Uwe von. "Die Gewässernamen im Einzugsgebiet der Treene : ein Beitrag zur Ortsnamenforschung in Schleswig-Holstein /." Neumünster : K. Wachholtz, 1989. http://catalogue.bnf.fr/ark:/12148/cb35566869s.

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Förster, Jana [Verfasser], Heiner [Akademischer Betreuer] Boeing, and Reinhard [Akademischer Betreuer] Busse. "Treelet transform for untargeted metabolomics data : treelet transform generates serum metabolite and lipid components that are correlated to anthropometry and intestinal microbiota in a cross-sectional EPIC-Potsdam sub-study / Jana Förster. Gutachter: Heiner Boeing ; Reinhard Busse. Betreuer: Heiner Boeing." Berlin : Technische Universität Berlin, 2014. http://d-nb.info/1067386602/34.

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Abreu, Rafaela Novaes de. "Crescimento de brotações após poda de árvores em vias públicas na cidade de Piracicaba, SP." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11150/tde-08032018-105703/.

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A principal função da arborização viária, nos últimos 30 anos, passou de apenas estética para promotora de serviços ambientais, mas essas árvores estão submetidas a diversos fatores estressantes, como a poluição do ar, a baixa disponibilidade de água, solo compactado, podas severas, e área de crescimento limitada. As redes aéreas de distribuição de energia são um dos elementos que mais interferem no manejo das árvores viárias, pois o conflito, geralmente, já está estabelecido e as concessionárias de energia optam por podas drásticas, que podem comprometer a sanidade da árvore e estimular brota
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Treese, Julian [Verfasser], and Dieter [Akademischer Betreuer] Bathen. "Selektivität von Probemolekülen bei der Adsorption an Aktivkohlen aus der flüssigen Phase / Julian Treese ; Betreuer: Dieter Bathen." Duisburg, 2017. http://d-nb.info/1142113647/34.

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Treede, Martina [Verfasser], and Hermann [Akademischer Betreuer] Reichenspurner. "Retrospektive Datenanalyse zur postoperativen Rekonvaleszenz nach Mitralklappenchirurgie : Vergleich minimalinvasiver und konventioneller OP-Techniken / Martina Treede. Betreuer: Hermann Reichenspurner." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2012. http://d-nb.info/1024355322/34.

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Heid, Conrad [Verfasser], and Rolf-Detlef [Akademischer Betreuer] Treede. "Frühe Gamma-Oszillationen als Marker für umschriebene Nozizeption im Primären Somatosensorischen Kortex / Conrad Heid ; Betreuer: Rolf-Detlef Treede." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1228700753/34.

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Kristoffersson, Anders. "Guds inre och Guds yttre. : Karl Rahner och Jürgen Moltmann om treenig Gud som (o)personlig och (o)berörbar – klassiker eller modernister?" Thesis, Umeå universitet, Institutionen för idé- och samhällsstudier, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-123529.

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Garnionis, Leonardas. "Daugiaklientinių bendradarbiavimo sistemų duomenų sinchronizacijos ir konfliktų sprendimo algoritmų taikymas XML dokumentams." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2006. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060530_101026-22234.

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Real-time collaborative editing systems are groupware systems that allow members of a team to simultaneously edit shared documents from different sites. Shared objects involved in the team activity are subject to concurrent accesses and real-time constrains. Starting with the dOPT algorithm of Ellis and Gibbs various algorithms using operational transformation for maintaining consistency in collaborative systems have been proposed: adOPTed, GOT, GOTO and etc. All these algorithms are based on a linear representation of the document. In this work we discuses about algorithms based on a tree rep
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Books on the topic "TreeNet"

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Bliss, Jill. Treelets. Blissen press, 2003.

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Brahmabhatt, Prahlad J. Treeje pagale aakash. Gujarat Pushtakalay, 1993.

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M, Lindskold Jane, ed. Treecat wars: A Star Kingdom novel. Baen, 2013.

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1960-, Egeraat Els van, ed. Balletclub de Zwaantjes treedt op. 5th ed. Kluitman, 1994.

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Rohden, Jens-Uwe von. Die Gewässernamen im Einzugsgebiet der Treene: Ein Beitrag zur Ortsnamenforschung in Schleswig-Holstein. K. Wachholtz, 1989.

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Henriksen, Levi. Bare mjuke pakker under treet: Fortellinger. Gyldendal, 2005.

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Powers, Steven S. North American burl treen: Colonial & Native American. S. Scott Powers Antiques, 2005.

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Treese, Steven A. Our family: A genealogy of the Treese and Noble families. S.A. Treese, 1988.

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Schjønsby, Nina, and Kaja Breckan. Kvisten på grenen, grenen på treet: Unge Kunstneres Samfund 1921-2021. Forlaget Press, 2021.

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Young, Robert, 1954 June 1-, ed. Treen for the table: Wooden objects relating to eating and drinking. Antique Collector's Club, 1998.

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Book chapters on the topic "TreeNet"

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Zhao, Mengliu, and Ghassan Hamarneh. "TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees." In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00889-5_6.

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Grenier, Pierre-Anthony, Luc Brun, and Didier Villemin. "Treelet Kernel Incorporating Chiral Information." In Graph-Based Representations in Pattern Recognition. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38221-5_14.

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Craig, Erica H., Tim H. Craig, and Mark R. Fuller. "Using TreeNet, a Machine Learning Approach to Better Understand Factors that Influence Elevated Blood Lead Levels in Wintering Golden Eagles in the Western United States." In Machine Learning for Ecology and Sustainable Natural Resource Management. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96978-7_12.

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Ding, Yuan, and Martha Palmer. "Automatic Learning of Parallel Dependency Treelet Pairs." In Natural Language Processing – IJCNLP 2004. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30211-7_25.

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Azari, Karen, and Andreas Ellison. "Tighter Provable Security for TreeKEM." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-95761-1_20.

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Muscolo, Giovanni Gerardo, and Rezia Molfino. "TREEBOT: Tree Recovering Renewable Energy Robot." In Towards Autonomous Robotic Systems. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43645-5_3.

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Lam, Tin Lun, and Yangsheng Xu. "A Novel Tree-Climbing Robot: Treebot." In Springer Tracts in Advanced Robotics. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28311-6_4.

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Jitnah, N., and A. Nicholson. "TreeNets: A framework for anytime evaluation of belief networks." In Qualitative and Quantitative Practical Reasoning. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0035634.

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Bougleux, Sébastien, François-Xavier Dupé, Luc Brun, and Myriam Mokhtari. "Shape Similarity Based on a Treelet Kernel with Edition." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34166-3_22.

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Ignat, Claudia-Lavinia, and Moira C. Norrie. "Customizable Collaborative Editor Relying on treeOPT Algorithm." In ECSCW 2003. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0068-0_17.

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Conference papers on the topic "TreeNet"

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C, Kalaiselvi T., Tharunn N, Shaarmila K, and Sukavanesh P. "Climbing and Pruning Treebot." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10717275.

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Ma, Mingyu, Wenbin Wang, Haokun Li, Shujun Gao, Hailong You, and Cong Li. "Electrical Characteristics and Thermal Reliability Investigation of TreeFET, FishboneFET, CombLikeFET and NSFET." In 2024 IEEE 17th International Conference on Solid-State & Integrated Circuit Technology (ICSICT). IEEE, 2024. https://doi.org/10.1109/icsict62049.2024.10830990.

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Gao, Shujun, Zhuang Miao, Huiyang He, Xiaofeng Bai, Hualian Tang, and Cong Li. "A Three-Dimensional Simulation Study of Dielectric Modulated TreeFET as a Label-Free Sensor." In 2024 7th International Conference on Electronics Technology (ICET). IEEE, 2024. http://dx.doi.org/10.1109/icet61945.2024.10673141.

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Wallez, Théophile, Jonathan Protzenko, and Karthikeyan Bhargavan. "TreeKEM: A Modular Machine-Checked Symbolic Security Analysis of Group Key Agreement in Messaging Layer Security." In 2025 IEEE Symposium on Security and Privacy (SP). IEEE, 2025. https://doi.org/10.1109/sp61157.2025.00228.

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Li, Wei, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, and Bei Yu. "TreeNet." In ASPDAC '21: 26th Asia and South Pacific Design Automation Conference. ACM, 2021. http://dx.doi.org/10.1145/3394885.3431566.

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Cheng, Zhou, Chun Yuan, Jiancheng Li, and Haiqin Yang. "TreeNet: Learning Sentence Representations with Unconstrained Tree Structure." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/557.

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Recursive neural network (RvNN) has been proved to be an effective and promising tool to learn sentence representations by explicitly exploiting the sentence structure. However, most existing work can only exploit simple tree structure, e.g., binary trees, or ignore the order of nodes, which yields suboptimal performance. In this paper, we proposed a novel neural network, namely TreeNet, to capture sentences structurally over the raw unconstrained constituency trees, where the number of child nodes can be arbitrary. In TreeNet, each node is learning from its left sibling and right child in a b
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Elish, Mahmoud O., and Karim O. Elish. "Application of TreeNet in Predicting Object-Oriented Software Maintainability: A Comparative Study." In 2009 13th European Conference on Software Maintenance and Reengineering. IEEE, 2009. http://dx.doi.org/10.1109/csmr.2009.57.

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Lu, Dong, Yanlong Zhai, Jianqing Wu, and Jun Shen. "TreeNet: A Hierarchical Deep Learning Model to Facilitate Edge Intelligence for Resource-Constrained Devices." In 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2021. http://dx.doi.org/10.1109/ccgrid51090.2021.00062.

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Quirk, Chris, Arul Menezes, and Colin Cherry. "Dependency treelet translation." In the 43rd Annual Meeting. Association for Computational Linguistics, 2005. http://dx.doi.org/10.3115/1219840.1219874.

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Menezes, Arul, Kristina Toutanova, and Chris Quirk. "Microsoft research treelet translation system." In the Workshop. Association for Computational Linguistics, 2006. http://dx.doi.org/10.3115/1654650.1654676.

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Reports on the topic "TreeNet"

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Beckman, Jayson, Philip Jarrell, and Stephen Morgan. Increasing tariffs on almond and walnut exports to Turkey. U.S. Department of Agriculture, Economic Research Service, 2025. https://doi.org/10.32747/2025.9015816.ers.

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The retaliatory tariffs against U.S. agricultural exports emerging in mid-2018 have been removed by all countries except for China and Turkey. The tariffs put in place by Turkey largely targeted U.S. tree-nut exports. As of November 2023, Turkey increased the most-favored-nation duty, the tariff that all World Trade Organization members pay, on almonds and walnuts, which further increased the tariff on U.S. exports. This report used a computable general equilibrium model to estimate the impacts to U.S. treenut exports from the higher tariff. In addition to the most-favored-nation tariff, the a
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Douglas, Gordon, and David Moore. Analyzing the Use and Impacts of Oakland Slow Streets and Potential Scalability Beyond Covid-19. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2021.2152.

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This report presents the results of a mixed-methods study of the 2020-2022 Oakland Slow Streets program. An official response to the Covid-19 pandemic, the program used signs and temporary barricades to limit thru-traffic on 21 miles of city streets to create more and safer space for walking, cycling, and outdoor recreation. Researchers collected data throughout the summer of 2021 on seven designated slow streets plus one cross street and one control street for each – a total of 21 street segments representing conditions in seven different neighborhoods across Oakland. Data collection comprise
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Douglas, Gordon, and David Moore. Analyzing the Use and Impacts of Oakland Slow Streets and Potential Scalability Beyond Covid-19. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2152.

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This report presents the results of a mixed-methods study of the 2020-2022 Oakland Slow Streets program. An official response to the Covid-19 pandemic, the program used signs and temporary barricades to limit thru-traffic on 21 miles of city streets to create more and safer space for walking, cycling, and outdoor recreation. Researchers collected data throughout the summer of 2021 on seven designated slow streets plus one cross street and one control street for each – a total of 21 street segments representing conditions in seven different neighborhoods across Oakland. Data collection comprise
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