Journal articles on the topic 'Representation Learning; Author and Document'
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Para, Upendar, and 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, no. 5s (May 17, 2023): 90–104. http://dx.doi.org/10.17762/ijritcc.v11i5s.6633.
Ma, Yingying, Youlong Wu, and Chengqiang Lu. "A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory." Entropy 22, no. 4 (April 7, 2020): 416. http://dx.doi.org/10.3390/e22040416.
Stoean, Catalin, and Daniel Lichtblau. "Author Identification Using Chaos Game Representation and Deep Learning." Mathematics 8, no. 11 (November 2, 2020): 1933. http://dx.doi.org/10.3390/math8111933.
Pooja, Km, Samrat Mondal, and Joydeep Chandra. "Exploiting Higher Order Multi-dimensional Relationships with Self-attention for Author Name Disambiguation." ACM Transactions on Knowledge Discovery from Data 16, no. 5 (October 31, 2022): 1–23. http://dx.doi.org/10.1145/3502730.
Kavuri, Karunakar, and 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, no. 7s (July 13, 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, and Kerry Wilbur. "Diversity in health professional education scholarship: a document analysis of international author representation in leading journals." BMJ Open 10, no. 11 (November 2020): e043970. http://dx.doi.org/10.1136/bmjopen-2020-043970.
Popova, Y. B., and A. V. Goloburda. "ALGORITHMIC AND PROGRAM IMPLEMENTATION OF THE PLAGIARISM DEFINITION IN LEARNING MANAGEMENT SYSTEMS." «System analysis and applied information science», no. 1 (June 12, 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, no. 34 (July 2022): 61–73. http://dx.doi.org/10.24195/2616-5317-2022-34-6.
Dalyan, Tuğba, Hakan Ayral, and Özgür Özdemir. "A Comprehensive Study of Learning Approaches for Author Gender Identification." Information Technology and Control 51, no. 3 (September 23, 2022): 429–45. http://dx.doi.org/10.5755/j01.itc.51.3.29907.
Tarmizi, Nursyahirah, Suhaila Saee, and 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, no. 2 (May 31, 2023): 145–57. http://dx.doi.org/10.11113/aej.v13.19171.
Surya, Chennam Chandrika, Karunakar K, Murali Mohan T, and R. Prasanthi Kumari. "Language Variety Prediction using Word Embeddings and Machine Leaning Algorithms." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1616–23. http://dx.doi.org/10.22214/ijraset.2022.48280.
Anwar, Waheed, Imran Sarwar Bajwa, and Shabana Ramzan. "Design and Implementation of a Machine Learning-Based Authorship Identification Model." Scientific Programming 2019 (January 16, 2019): 1–14. http://dx.doi.org/10.1155/2019/9431073.
Zhao, Wentao, Dalin Zhou, Xinguo Qiu, and Wei Jiang. "How to Represent Paintings: A Painting Classification Using Artistic Comments." Sensors 21, no. 6 (March 10, 2021): 1940. http://dx.doi.org/10.3390/s21061940.
García-Gorrostieta, Jesús Miguel, Aurelio López-López, Samuel González-López, and Adrián Pastor López-Monroy. "Improved argumentative paragraphs detection in academic theses supported with unit segmentation." Journal of Intelligent & Fuzzy Systems 42, no. 5 (March 31, 2022): 4481–91. http://dx.doi.org/10.3233/jifs-219237.
Lee, Seungpeel, Honggeun Ji, Jina Kim, and Eunil Park. "What books will be your bestseller? A machine learning approach with Amazon Kindle." Electronic Library 39, no. 1 (April 5, 2021): 137–51. http://dx.doi.org/10.1108/el-08-2020-0234.
Pogorilyy, S. D., A. A. Kramov, and 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, no. 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, and Xiaozhong Liu. "Evidence Aware Neural Pornographic Text Identification for Child Protection." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 14939–47. http://dx.doi.org/10.1609/aaai.v35i17.17753.
Polat, Huseyin, and Mesut Korpe. "Estimation of Demographic Traits of the Deputies through Parliamentary Debates Using Machine Learning." Electronics 11, no. 15 (July 29, 2022): 2374. http://dx.doi.org/10.3390/electronics11152374.
Utami, Putri Lintang, Nadi Suprapto, and Hasan Nuurul Hidaayatullaah. "Exploring Research Trends of Physics Concept Mapping in Physics Learning: Bibliometric Analysis." Studies in Philosophy of Science and Education 3, no. 2 (July 31, 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, no. 2 (May 1985): 179–201. http://dx.doi.org/10.2190/l00t-22h0-b7nj-1324.
Kadu, Mr Lukesh, Dr Manoj Deshpande, and Dr Vijaykumar Pawar. "Survey of Deep Learning Approaches for Twitter Text Classification." International Journal of Advanced Engineering Research and Science 9, no. 12 (2022): 106–12. http://dx.doi.org/10.22161/ijaers.912.12.
Juanes, Juan A., and Pablo Ruisoto. "Technological Advances and Teaching Innovation Applied to Health Science Education." Journal of Information Technology Research 7, no. 2 (April 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, and Vera K. Vlasova. "A cross-database bibliometric analysis of ubiquitous learning: Trends, influences, and future directions." Contemporary Educational Technology 15, no. 4 (October 1, 2023): ep471. http://dx.doi.org/10.30935/cedtech/13648.
Andriani, Agis, Fuad Abdullah, Enjang Nurhaedin, Arini Nurul Hidayati, Dewi Rosmala, and 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, no. 1 (February 6, 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, and Qiuyan Zhang. "Bibliometric and visualized analysis of DME from 2012 to 2022." Medicine 103, no. 13 (March 29, 2024): e37347. http://dx.doi.org/10.1097/md.0000000000037347.
Pappas, Nikolaos, and Andrei Popescu-Belis. "Explicit Document Modeling through Weighted Multiple-Instance Learning." Journal of Artificial Intelligence Research 58 (March 22, 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, and 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 (March 7, 2023): e42789. http://dx.doi.org/10.2196/42789.
Minang, Putri Sundari, and Gustaman Saragih. "LEXICAL COLLOCATION AND TEXTUAL COHESION IN STUDENT’S ENGLISH WRITING DISCUSSION TEXT." INFERENCE: Journal of English Language Teaching 5, no. 1 (July 21, 2022): 62. http://dx.doi.org/10.30998/inference.v5i1.8068.
Yan, Yan, Xu-Cheng Yin, Sujian Li, Mingyuan Yang, and 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, and 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, and Suge Wang. "Learning document representation via topic-enhanced LSTM model." Knowledge-Based Systems 174 (June 2019): 194–204. http://dx.doi.org/10.1016/j.knosys.2019.03.007.
Liu, Ying, Tongzhou Zhao, Yue Chai, and Yiqi Jiang. "A Word Elimination Strategy for Learning Document Representation." IOP Conference Series: Materials Science and Engineering 466 (December 28, 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, no. 4 (July 13, 2023): 61–66. http://dx.doi.org/10.55524/ijircst.2023.11.4.11.
Morariu, Daniel, Lucian Vințan, and Radu Crețulescu. "An Extension of the VSM Documents Representation using Word Embedding." Balkan Region Conference on Engineering and Business Education 2, no. 1 (December 20, 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, no. 1 (January 2010): 43–60. http://dx.doi.org/10.4018/jwltt.2010010104.
Krisnaningsih, Erina, Maharani Ayu Nurdiana Putri, Tsabitamia Irba, Nadi Supapto, Utama Alan Deta, and Eko Hariyono. "Bibliometric Analysis of Multi Representation Based on Problem-Solving Skills Using VOSviewer." Berkala Ilmiah Pendidikan Fisika 9, no. 3 (November 1, 2021): 274. http://dx.doi.org/10.20527/bipf.v9i3.11329.
Duan, Junwen, Xiao Ding, Yue Zhang, and Ting Liu. "TEND: A Target-Dependent Representation Learning Framework for News Document." IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, no. 12 (December 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, no. 6 (June 23, 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, and Sheraz Ahmed. "Fi-Fo Detector: Figure and Formula Detection Using Deformable Networks." Applied Sciences 10, no. 18 (September 16, 2020): 6460. http://dx.doi.org/10.3390/app10186460.
Kilimci, Zeynep H., and Selim Akyokus. "Deep Learning- and Word Embedding-Based Heterogeneous Classifier Ensembles for Text Classification." Complexity 2018 (October 9, 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, and Rofiqul Umam. "Mathematical representation: A bibliometric mapping of the research literature (2013–2022)." Infinity Journal 13, no. 1 (October 8, 2023): 1–26. http://dx.doi.org/10.22460/infinity.v13i1.p1-26.
Feng, Kai, Lan Huang, Hao Xu, Kangping Wang, Wei Wei, and Rui Zhang. "Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval." Entropy 24, no. 7 (July 7, 2022): 943. http://dx.doi.org/10.3390/e24070943.
Xu, Shusheng, Xingxing Zhang, Yi Wu, and Furu Wei. "Sequence Level Contrastive Learning for Text Summarization." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11556–65. http://dx.doi.org/10.1609/aaai.v36i10.21409.
Apandi, Siti Hawa, Jamaludin Sallim, Rozlina Mohamed, and Norkhairi Ahmad. "Automatic Topic-Based Web Page Classification Using Deep Learning." JOIV : International Journal on Informatics Visualization 7, no. 3-2 (November 30, 2023): 2108. http://dx.doi.org/10.30630/joiv.7.3-2.1616.
Buckley, Charles, and Chrissi Nerantzi. "Effective Use of Visual Representation in Research and Teaching within Higher Education." International Journal of Management and Applied Research 7, no. 3 (September 4, 2020): 196–214. http://dx.doi.org/10.18646/2056.73.20-014.
Zhao, Yi, Yu Qiao, and Keqing He. "A Novel Tagging Augmented LDA Model for Clustering." International Journal of Web Services Research 16, no. 3 (July 2019): 59–77. http://dx.doi.org/10.4018/ijwsr.2019070104.
Peng, Liwen, Siqi Shen, Jun Xu, Yongquan Fu, Dongsheng Li, and 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, and ZHENGLU YANG. "Unsupervised learning of semantic representation for documents with the law of total probability." Natural Language Engineering 24, no. 4 (November 2, 2017): 491–522. http://dx.doi.org/10.1017/s1351324917000420.
Al-Sabahi, Kamal, and Zhang Zuping. "Document Summarization Using Sentence-Level Semantic Based on Word Embeddings." International Journal of Software Engineering and Knowledge Engineering 29, no. 02 (February 2019): 177–96. http://dx.doi.org/10.1142/s0218194019500086.
Bajner, Maria. "Lifelong Learning Redefined: From Sustainability to Generational Learning." Andragoška spoznanja 25, no. 3 (October 8, 2019): 35–45. http://dx.doi.org/10.4312/as.25.3.35-45.