Artículos de revistas sobre el tema "Author and Document Representation Learning"
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Para, Upendar y M. S. Patel. "A New Term Representation Method for Gender and Age Prediction". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 5s (17 de mayo de 2023): 90–104. http://dx.doi.org/10.17762/ijritcc.v11i5s.6633.
Ma, Yingying, Youlong Wu y Chengqiang Lu. "A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory". Entropy 22, n.º 4 (7 de abril de 2020): 416. http://dx.doi.org/10.3390/e22040416.
Stoean, Catalin y Daniel Lichtblau. "Author Identification Using Chaos Game Representation and Deep Learning". Mathematics 8, n.º 11 (2 de noviembre de 2020): 1933. http://dx.doi.org/10.3390/math8111933.
Pooja, Km, Samrat Mondal y Joydeep Chandra. "Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation". ACM Transactions on Knowledge Discovery from Data 16, n.º 5 (31 de octubre de 2022): 1–23. http://dx.doi.org/10.1145/3502730.
Kavuri, Karunakar y M. Kavitha. "A Word Embeddings based Approach for Author Profiling: Gender and Age Prediction". International Journal on Recent and Innovation Trends in Computing and Communication 11, n.º 7s (13 de julio de 2023): 239–50. http://dx.doi.org/10.17762/ijritcc.v11i7s.6996.
Buffone, Brittany, Ilena Djuana, Katherine Yang, Kyle J. Wilby, Maguy S. El Hajj y Kerry Wilbur. "Diversity in health professional education scholarship: a document analysis of international author representation in leading journals". BMJ Open 10, n.º 11 (noviembre de 2020): e043970. http://dx.doi.org/10.1136/bmjopen-2020-043970.
Popova, Y. B. y A. V. Goloburda. "ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS". «System analysis and applied information science», n.º 1 (12 de junio de 2018): 71–78. http://dx.doi.org/10.21122/2309-4923-2018-1-71-78.
Popova, Oleksandra. "ECONOMIC AND LEGAL DISCOURSE: PARADIGM OF CHANGES IN THE XXI CENTURY (ON THE MATERIAL OF CHINESE, ENGLISH AND UKRAINIAN LANGUAGES)". Naukovy Visnyk of South Ukrainian National Pedagogical University named after K. D. Ushynsky: Linguistic Sciences 2022, n.º 34 (julio de 2022): 61–73. http://dx.doi.org/10.24195/2616-5317-2022-34-6.
Dalyan, Tuğba, Hakan Ayral y Özgür Özdemir. "A Comprehensive Study of Learning Approaches for Author Gender Identification". Information Technology and Control 51, n.º 3 (23 de septiembre de 2022): 429–45. http://dx.doi.org/10.5755/j01.itc.51.3.29907.
Tarmizi, Nursyahirah, Suhaila Saee y Dayang Hanani Abang Ibrahim. "TOWARDS CURBING CYBER-BULLYING IN MALAYSIA BY AUTHOR IDENTIFICATION OF IBAN AND KADAZANDUSUN OSN TEXT USING DEEP LEARNING". ASEAN Engineering Journal 13, n.º 2 (31 de mayo de 2023): 145–57. http://dx.doi.org/10.11113/aej.v13.19171.
Surya, Chennam Chandrika, Karunakar K, Murali Mohan T y R. Prasanthi Kumari. "Language Variety Prediction using Word Embeddings and Machine Leaning Algorithms". International Journal for Research in Applied Science and Engineering Technology 10, n.º 12 (31 de diciembre de 2022): 1616–23. http://dx.doi.org/10.22214/ijraset.2022.48280.
Anwar, Waheed, Imran Sarwar Bajwa y Shabana Ramzan. "Design and Implementation of a Machine Learning-Based Authorship Identification Model". Scientific Programming 2019 (16 de enero de 2019): 1–14. http://dx.doi.org/10.1155/2019/9431073.
Zhao, Wentao, Dalin Zhou, Xinguo Qiu y Wei Jiang. "How to Represent Paintings: A Painting Classification Using Artistic Comments". Sensors 21, n.º 6 (10 de marzo de 2021): 1940. http://dx.doi.org/10.3390/s21061940.
García-Gorrostieta, Jesús Miguel, Aurelio López-López, Samuel González-López y Adrián Pastor López-Monroy. "Improved argumentative paragraphs detection in academic theses supported with unit segmentation". Journal of Intelligent & Fuzzy Systems 42, n.º 5 (31 de marzo de 2022): 4481–91. http://dx.doi.org/10.3233/jifs-219237.
Lee, Seungpeel, Honggeun Ji, Jina Kim y Eunil Park. "What books will be your bestseller? A machine learning approach with Amazon Kindle". Electronic Library 39, n.º 1 (5 de abril de 2021): 137–51. http://dx.doi.org/10.1108/el-08-2020-0234.
Pogorilyy, S. D., A. A. Kramov y P. V. Biletskyi. "METHOD FOR COHERECE EVALUATION OF UKRAINIAN TEXTS USING CONVO-LUTIONAL NEURAL NETWORK". Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, n.º 65 (2019): 64–71. http://dx.doi.org/10.17721/2519-481x/2019/65-08.
Song, Kaisong, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun y Xiaozhong Liu. "Evidence Aware Neural Pornographic Text Identification for Child Protection". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 17 (18 de mayo de 2021): 14939–47. http://dx.doi.org/10.1609/aaai.v35i17.17753.
Polat, Huseyin y Mesut Korpe. "Estimation of Demographic Traits of the Deputies through Parliamentary Debates Using Machine Learning". Electronics 11, n.º 15 (29 de julio de 2022): 2374. http://dx.doi.org/10.3390/electronics11152374.
Utami, Putri Lintang, Nadi Suprapto y Hasan Nuurul Hidaayatullaah. "Exploring Research Trends of Physics Concept Mapping in Physics Learning: Bibliometric Analysis". Studies in Philosophy of Science and Education 3, n.º 2 (31 de julio de 2022): 58–69. http://dx.doi.org/10.46627/sipose.v3i2.308.
Brown, John Seely. "Process versus Product: A Perspective on Tools for Communal and Informal Electronic Learning". Journal of Educational Computing Research 1, n.º 2 (mayo de 1985): 179–201. http://dx.doi.org/10.2190/l00t-22h0-b7nj-1324.
Kadu, Mr Lukesh, Dr Manoj Deshpande y Dr Vijaykumar Pawar. "Survey of Deep Learning Approaches for Twitter Text Classification". International Journal of Advanced Engineering Research and Science 9, n.º 12 (2022): 106–12. http://dx.doi.org/10.22161/ijaers.912.12.
Juanes, Juan A. y Pablo Ruisoto. "Technological Advances and Teaching Innovation Applied to Health Science Education". Journal of Information Technology Research 7, n.º 2 (abril de 2014): 1–6. http://dx.doi.org/10.4018/jitr.2014040101.
Abayeva, Galiya A., Gulzhan S. Orazayeva, Saltanat J. Omirbek, Gaukhar B. Ibatova, Venera G. Zakirova y Vera K. Vlasova. "A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions". Contemporary Educational Technology 15, n.º 4 (1 de octubre de 2023): ep471. http://dx.doi.org/10.30935/cedtech/13648.
Andriani, Agis, Fuad Abdullah, Enjang Nurhaedin, Arini Nurul Hidayati, Dewi Rosmala y Yuyus Saputra. "The Representation of Counterproductive Religious Values in a Selected Chapter of an Indonesian ELT Textbook: Systemic Functional Multimodal Discourse Analysis". Journal of Pragmatics and Discourse Research 4, n.º 1 (6 de febrero de 2024): 47–62. http://dx.doi.org/10.51817/jpdr.v4i1.756.
Liu, Yi, Qiuyan Zhu, Pengfei Jiang, Yang Yang, Mingyun Wang, Hao Liang, Qinghua Peng y Qiuyan Zhang. "Bibliometric and visualized analysis of DME from 2012 to 2022". Medicine 103, n.º 13 (29 de marzo de 2024): e37347. http://dx.doi.org/10.1097/md.0000000000037347.
Pappas, Nikolaos y Andrei Popescu-Belis. "Explicit Document Modeling through Weighted Multiple-Instance Learning". Journal of Artificial Intelligence Research 58 (22 de marzo de 2017): 591–626. http://dx.doi.org/10.1613/jair.5240.
Macri, Carmelo, Stephen Bacchi, Sheng Chieh Teoh, Wan Yin Lim, Lydia Lam, Sandy Patel, Mark Slee, Robert Casson y WengOnn Chan. "Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis". Journal of Medical Internet Research 25 (7 de marzo de 2023): e42789. http://dx.doi.org/10.2196/42789.
Minang, Putri Sundari y Gustaman Saragih. "LEXICAL COLLOCATION AND TEXTUAL COHESION IN STUDENT’S ENGLISH WRITING DISCUSSION TEXT". INFERENCE: Journal of English Language Teaching 5, n.º 1 (21 de julio de 2022): 62. http://dx.doi.org/10.30998/inference.v5i1.8068.
Yan, Yan, Xu-Cheng Yin, Sujian Li, Mingyuan Yang y Hong-Wei Hao. "Learning Document Semantic Representation with Hybrid Deep Belief Network". Computational Intelligence and Neuroscience 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/650527.
Siddiqui, Shoaib Ahmed, Andreas Dengel y Sheraz Ahmed. "Self-Supervised Representation Learning for Document Image Classification". IEEE Access 9 (2021): 164358–67. http://dx.doi.org/10.1109/access.2021.3133200.
Zhang, Wenyue, Yang Li y Suge Wang. "Learning document representation via topic-enhanced LSTM model". Knowledge-Based Systems 174 (junio de 2019): 194–204. http://dx.doi.org/10.1016/j.knosys.2019.03.007.
Liu, Ying, Tongzhou Zhao, Yue Chai y Yiqi Jiang. "A Word Elimination Strategy for Learning Document Representation". IOP Conference Series: Materials Science and Engineering 466 (28 de diciembre de 2018): 012091. http://dx.doi.org/10.1088/1757-899x/466/1/012091.
Takale, Sheetal Ajaykumar. "Knowledge Representation for Legal Document Summarization". International Journal of Innovative Research in Computer Science and Technology 11, n.º 4 (13 de julio de 2023): 61–66. http://dx.doi.org/10.55524/ijircst.2023.11.4.11.
Morariu, Daniel, Lucian Vințan y Radu Crețulescu. "An Extension of the VSM Documents Representation using Word Embedding". Balkan Region Conference on Engineering and Business Education 2, n.º 1 (20 de diciembre de 2017): 249–57. http://dx.doi.org/10.1515/cplbu-2017-0033.
Daele, Amaury. "Reifying, Participating and Learning". International Journal of Web-Based Learning and Teaching Technologies 5, n.º 1 (enero de 2010): 43–60. http://dx.doi.org/10.4018/jwltt.2010010104.
Krisnaningsih, Erina, Maharani Ayu Nurdiana Putri, Tsabitamia Irba, Nadi Supapto, Utama Alan Deta y Eko Hariyono. "Bibliometric Analysis of Multi Representation Based on Problem-Solving Skills Using VOSviewer". Berkala Ilmiah Pendidikan Fisika 9, n.º 3 (1 de noviembre de 2021): 274. http://dx.doi.org/10.20527/bipf.v9i3.11329.
Duan, Junwen, Xiao Ding, Yue Zhang y Ting Liu. "TEND: A Target-Dependent Representation Learning Framework for News Document". IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, n.º 12 (diciembre de 2019): 2313–25. http://dx.doi.org/10.1109/taslp.2019.2947364.
Stolyarov, Yu N. "Theory for the good of practice. To discussion on the origins of documentology". Scientific and Technical Libraries, n.º 6 (23 de junio de 2022): 137–51. http://dx.doi.org/10.33186/1027-3689-2022-6-137-151.
Younas, Junaid, Shoaib Ahmed Siddiqui, Mohsin Munir, Muhammad Imran Malik, Faisal Shafait, Paul Lukowicz y Sheraz Ahmed. "Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks". Applied Sciences 10, n.º 18 (16 de septiembre de 2020): 6460. http://dx.doi.org/10.3390/app10186460.
Kilimci, Zeynep H. y Selim Akyokus. "Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification". Complexity 2018 (9 de octubre de 2018): 1–10. http://dx.doi.org/10.1155/2018/7130146.
Putra, Fredi Ganda, Dewi Lengkana, Sugeng Sutiarso, Nurhanurawati Nurhanurawati, Antomi Saregar, Rahma Diani, Santi Widyawati, Suparman Suparman, Khoirunnisa Imama y Rofiqul Umam. "Mathematical representation: A bibliometric mapping of the research literature (2013–2022)". Infinity Journal 13, n.º 1 (8 de octubre de 2023): 1–26. http://dx.doi.org/10.22460/infinity.v13i1.p1-26.
Feng, Kai, Lan Huang, Hao Xu, Kangping Wang, Wei Wei y Rui Zhang. "Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval". Entropy 24, n.º 7 (7 de julio de 2022): 943. http://dx.doi.org/10.3390/e24070943.
Xu, Shusheng, Xingxing Zhang, Yi Wu y Furu Wei. "Sequence Level Contrastive Learning for Text Summarization". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junio de 2022): 11556–65. http://dx.doi.org/10.1609/aaai.v36i10.21409.
Apandi, Siti Hawa, Jamaludin Sallim, Rozlina Mohamed y Norkhairi Ahmad. "Automatic Topic-Based Web Page Classification Using Deep Learning". JOIV : International Journal on Informatics Visualization 7, n.º 3-2 (30 de noviembre de 2023): 2108. http://dx.doi.org/10.30630/joiv.7.3-2.1616.
Buckley, Charles y Chrissi Nerantzi. "Effective Use of Visual Representation in Research and Teaching within Higher Education". International Journal of Management and Applied Research 7, n.º 3 (4 de septiembre de 2020): 196–214. http://dx.doi.org/10.18646/2056.73.20-014.
Zhao, Yi, Yu Qiao y Keqing He. "A Novel Tagging Augmented LDA Model for Clustering". International Journal of Web Services Research 16, n.º 3 (julio de 2019): 59–77. http://dx.doi.org/10.4018/ijwsr.2019070104.
Peng, Liwen, Siqi Shen, Jun Xu, Yongquan Fu, Dongsheng Li y Adele Lu Jia. "Diting: An Author Disambiguation Method Based on Network Representation Learning". IEEE Access 7 (2019): 135539–55. http://dx.doi.org/10.1109/access.2019.2942477.
WEI, YANG, JINMAO WEI y ZHENGLU YANG. "Unsupervised learning of semantic representation for documents with the law of total probability". Natural Language Engineering 24, n.º 4 (2 de noviembre de 2017): 491–522. http://dx.doi.org/10.1017/s1351324917000420.
Al-Sabahi, Kamal y Zhang Zuping. "Document Summarization Using Sentence-Level Semantic Based on Word Embeddings". International Journal of Software Engineering and Knowledge Engineering 29, n.º 02 (febrero de 2019): 177–96. http://dx.doi.org/10.1142/s0218194019500086.
Bajner, Maria. "Lifelong Learning Redefined: From Sustainability to Generational Learning". Andragoška spoznanja 25, n.º 3 (8 de octubre de 2019): 35–45. http://dx.doi.org/10.4312/as.25.3.35-45.