Artigos de revistas sobre o tema "Document Intelligence"
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Askarifard, Hadis. "Types of classifier in artificial intelligence". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 15, n.º 1 (23 de outubro de 2015): 6436–43. http://dx.doi.org/10.24297/ijct.v15i1.1716.
Texto completo da fonteBhatt, Ajay. "Document Automation Using Artificial Intelligence". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de setembro de 2022): 1365–13169. http://dx.doi.org/10.22214/ijraset.2022.46839.
Texto completo da fonteShi, Zhongzhi, Qing He, Ziyan Jia e Jiayou Li. "Intelligence Chinese Document Semantic Indexing System". International Journal of Information Technology & Decision Making 02, n.º 03 (setembro de 2003): 407–24. http://dx.doi.org/10.1142/s0219622003000732.
Texto completo da fonteStoyanova, Miglena. "Document Process Automation with Artificial Intelligence for Logistics Sector". Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series 12, n.º 1 (1 de outubro de 2023): 190–97. http://dx.doi.org/10.56065/ijusv-ess/2023.12.1.190.
Texto completo da fonteCROSSNO, PATRICIA J., ANDREW T. WILSON, TIMOTHY M. SHEAD, WARREN L. DAVIS e DANIEL M. DUNLAVY. "TOPICVIEW: VISUAL ANALYSIS OF TOPIC MODELS AND THEIR IMPACT ON DOCUMENT CLUSTERING". International Journal on Artificial Intelligence Tools 22, n.º 05 (outubro de 2013): 1360008. http://dx.doi.org/10.1142/s0218213013600087.
Texto completo da fonteHAO, XIAOLONG, JASON T. L. WANG, MICHAEL P. BIEBER e PETER A. NG. "HEURISTIC CLASSIFICATION OF OFFICE DOCUMENTS". International Journal on Artificial Intelligence Tools 03, n.º 02 (junho de 1994): 233–65. http://dx.doi.org/10.1142/s0218213094000121.
Texto completo da fonteBelov, Ilya I. "Automation of Electronic Document Management Systems Functions by Means of Artificial Intelligence Technologies". Herald of an archivist, n.º 3 (2022): 772–83. http://dx.doi.org/10.28995/2073-0101-2022-3-772-783.
Texto completo da fonteA., Lukman, Emmanuel R. e Amos David. "Integrating Document Usage with Document Index in Competitive Intelligence Process". International Journal of Computer Applications 132, n.º 13 (17 de dezembro de 2015): 37–43. http://dx.doi.org/10.5120/ijca2015907630.
Texto completo da fonteKhudyak Kozorovitsky, A., e O. Kurland. "From ``Identical'' to ``Similar'': Fusing Retrieved Lists Based on Inter-Document Similarities". Journal of Artificial Intelligence Research 41 (21 de junho de 2011): 267–96. http://dx.doi.org/10.1613/jair.3214.
Texto completo da fonteHayama, Tessai, Takashi Kanai e Susumu Kunifuji. "Document Skimming Support Environment for Surveying Documents in Creative Activities". Transactions of the Japanese Society for Artificial Intelligence 19 (2004): 113–25. http://dx.doi.org/10.1527/tjsai.19.113.
Texto completo da fonteZhutyaeva, S. A., e T. A. Lysova. "Trends in the Development of Electronic Document Management: Prospects, Problems, Opportunities". Economics and Management 27, n.º 12 (26 de dezembro de 2021): 963–70. http://dx.doi.org/10.35854/1998-1627-2021-12-963-970.
Texto completo da fonteChen, H., S. R. K. Branavan, R. Barzilay e D. R. Karger. "Content Modeling Using Latent Permutations". Journal of Artificial Intelligence Research 36 (28 de outubro de 2009): 129–63. http://dx.doi.org/10.1613/jair.2830.
Texto completo da fonteKolandaisamy, Raenu, Heshalini Rajagopal, Indraah K. e Glaret Shirley Sinnappan. "The Smart Document Processing with Artificial Intelligence". Proceedings of International Conference on Artificial Life and Robotics 29 (22 de fevereiro de 2024): 534–40. http://dx.doi.org/10.5954/icarob.2024.os18-8.
Texto completo da fontePERA, MARIA SOLEDAD, e YIU-KAI NG. "A NAÏVE BAYES CLASSIFIER FOR WEB DOCUMENT SUMMARIES CREATED BY USING WORD SIMILARITY AND SIGNIFICANT FACTORS". International Journal on Artificial Intelligence Tools 19, n.º 04 (agosto de 2010): 465–86. http://dx.doi.org/10.1142/s0218213010000285.
Texto completo da fonteGuo, Shun, e Nianmin Yao. "Generating word and document matrix representations for document classification". Neural Computing and Applications 32, n.º 14 (28 de outubro de 2019): 10087–108. http://dx.doi.org/10.1007/s00521-019-04541-x.
Texto completo da fonteAlothman, Abdulaziz Fahad, e Abdul Rahaman Wahab Sait. "Managing and Retrieving Bilingual Documents Using Artificial Intelligence-Based Ontological Framework". Computational Intelligence and Neuroscience 2022 (25 de agosto de 2022): 1–15. http://dx.doi.org/10.1155/2022/4636931.
Texto completo da fonteKHOCHA, Nadiia, e Nataliia MOSKAL. "Transition to electronic document workflow: perspectives and challenges". Economics. Finances. Law 10, n.º - (31 de outubro de 2023): 17–20. http://dx.doi.org/10.37634/efp.2023.10.3.
Texto completo da fonteAkbar, Rasona Sunara, Vita Nurul Fathia, Muhammad Arif Hamdi, Seno Setya Pujang, Mila Rosmaya e Masdar Bakhtiar. "Bibliometric Analysis: Utilization of Artificial Intelligence to Support Office Performance". Devotion : Journal of Research and Community Service 5, n.º 6 (27 de junho de 2024): 712–23. http://dx.doi.org/10.59188/devotion.v5i6.745.
Texto completo da fonteMannar Mannan, J., K. Sindhanai Selvan e R. Mohemmed Yousuf. "Independent document ranking for E-learning using semantic-based document term classification". Journal of Intelligent & Fuzzy Systems 40, n.º 1 (4 de janeiro de 2021): 893–905. http://dx.doi.org/10.3233/jifs-201070.
Texto completo da fonteBourbakis, Nikolaos, e Sukarno Mertoguno. "A Holistic Approach for Automatic Deep Understanding and Protection of Technical Documents". International Journal on Artificial Intelligence Tools 29, n.º 06 (setembro de 2020): 2050007. http://dx.doi.org/10.1142/s0218213020500074.
Texto completo da fonteSelvaraj, Suganya, e Eunmi Choi. "Swarm Intelligence Algorithms in Text Document Clustering with Various Benchmarks". Sensors 21, n.º 9 (4 de maio de 2021): 3196. http://dx.doi.org/10.3390/s21093196.
Texto completo da fonteTiwari, Manisha, Padmanabhan Aital e Padmaja Joshi. "A comprehensive survey and review of machine learning techniques in document processing : Industry applications and future directions". Journal of Information and Optimization Sciences 45, n.º 4 (2024): 1177–88. http://dx.doi.org/10.47974/jios-1701.
Texto completo da fonteSHIOYA, ISAMU, HIROHITO OH'UCHI e TAKAO MIURA. "DOCUMENT RETRIEVAL BY PROJECTION BASED FREQUENCY DISTRIBUTION". International Journal on Artificial Intelligence Tools 16, n.º 04 (agosto de 2007): 647–59. http://dx.doi.org/10.1142/s0218213007003485.
Texto completo da fonteVeisi, Hadi, e Hamed Fakour Shandi. "A Persian Medical Question Answering System". International Journal on Artificial Intelligence Tools 29, n.º 06 (setembro de 2020): 2050019. http://dx.doi.org/10.1142/s0218213020500190.
Texto completo da fonteBen Basat, Ran, Moshe Tennenholtz e Oren Kurland. "A Game Theoretic Analysis of the Adversarial Retrieval Setting". Journal of Artificial Intelligence Research 60 (30 de dezembro de 2017): 1127–64. http://dx.doi.org/10.1613/jair.5547.
Texto completo da fonteHU, TIANMING, CHEW LIM TAN, YONG TANG, SAM YUAN SUNG, HUI XIONG e CHAO QU. "CO-CLUSTERING BIPARTITE WITH PATTERN PRESERVATION FOR TOPIC EXTRACTION". International Journal on Artificial Intelligence Tools 17, n.º 01 (fevereiro de 2008): 87–107. http://dx.doi.org/10.1142/s0218213008003790.
Texto completo da fonteBOURBAKIS, N., W. MENG, C. ZHANG, Z. WU, N. J. SALERNO e S. BOREK. "RETRIEVAL OF MULTIMEDIA WEB DOCUMENTS AND REMOVAL OF REDUNDANT INFORMATION". International Journal on Artificial Intelligence Tools 08, n.º 01 (março de 1999): 19–42. http://dx.doi.org/10.1142/s0218213099000038.
Texto completo da fonteLobachev, Sergey L., e Elena V. Karpycheva. "Artificial Intelligence in Archiving: Statutory Regulation and Personnel Formation". Herald of an archivist, n.º 2 (2022): 623–39. http://dx.doi.org/10.28995/2073-0101-2022-2-623-639.
Texto completo da fonteFarid, Imam, Nabilah Bulqois, Nur Alim Assidiq, Sisi Megahutami e Mochamad Iskarim. "Fostering Multiple Intelligences in Elementary Schools: Harnessing Independent Curriculum-Based Learning in Elementary Schools". Tadibia Islamika 3, n.º 2 (30 de novembro de 2023): 62–73. http://dx.doi.org/10.28918/tadibia.v3i2.1177.
Texto completo da fonteLi, Yongfei, Yuanbo Guo, Chen Fang, Yongjin Hu, Yingze Liu e Qingli Chen. "Feature-Enhanced Document-Level Relation Extraction in Threat Intelligence with Knowledge Distillation". Electronics 11, n.º 22 (13 de novembro de 2022): 3715. http://dx.doi.org/10.3390/electronics11223715.
Texto completo da fonteRosady, Imron. "Humanist Learning With Multiple Intelligences Strategy On Religious Education". FALASIFA : Jurnal Studi Keislaman 13, n.º 2 (31 de outubro de 2022): 134–43. http://dx.doi.org/10.62097/falasifa.v13i2.1049.
Texto completo da fonteBraasch, Jason L. G., Ivar Bråten, Helge I. Strømsø e Øistein Anmarkrud. "Incremental theories of intelligence predict multiple document comprehension". Learning and Individual Differences 31 (abril de 2014): 11–20. http://dx.doi.org/10.1016/j.lindif.2013.12.012.
Texto completo da fonteAlexiou, Michail S., Nikolaos Gkorgkolis, Sukarno Mertoguno e Nikolaos G. Bourbakis. "Deep Understanding of Technical Documents: An Enhancement on Diagrams Understanding". International Journal on Artificial Intelligence Tools 30, n.º 05 (agosto de 2021): 2150027. http://dx.doi.org/10.1142/s0218213021500275.
Texto completo da fonteIYER, SWAMI, e DAN A. SIMOVICI. "STRUCTURAL CLASSIFICATION OF XML DOCUMENTS USING MULTISETS". International Journal on Artificial Intelligence Tools 17, n.º 05 (outubro de 2008): 1003–22. http://dx.doi.org/10.1142/s0218213008004266.
Texto completo da fonteESPOSITO, FLORIANA, DONATO MALERBA e GIOVANNI SEMERARO. "MULTISTRATEGY LEARNING FOR DOCUMENT RECOGNITION". Applied Artificial Intelligence 8, n.º 1 (janeiro de 1994): 33–84. http://dx.doi.org/10.1080/08839519408945432.
Texto completo da fonteLe, Tuan M. V., e Hady W. Lauw. "Semantic Visualization with Neighborhood Graph Regularization". Journal of Artificial Intelligence Research 55 (28 de abril de 2016): 1091–133. http://dx.doi.org/10.1613/jair.4983.
Texto completo da fontePourvali, Mohsen, e Salvatore Orlando. "Enriching Documents by Linking Salient Entities and Lexical-Semantic Expansion". Journal of Intelligent Systems 29, n.º 1 (4 de dezembro de 2018): 1109–21. http://dx.doi.org/10.1515/jisys-2018-0098.
Texto completo da fonteLee, Sungjoo, Letizia Mortara, Clive Kerr, Robert Phaal e David Probert. "Analysis of document-mining techniques and tools for technology intelligence: discovering knowledge from technical documents". International Journal of Technology Management 60, n.º 1/2 (2012): 130. http://dx.doi.org/10.1504/ijtm.2012.049102.
Texto completo da fonteRashaideh, Hasan, Ahmad Sawaie, Mohammed Azmi Al-Betar, Laith Mohammad Abualigah, Mohammed M. Al-laham, Ra’ed M. Al-Khatib e Malik Braik. "A Grey Wolf Optimizer for Text Document Clustering". Journal of Intelligent Systems 29, n.º 1 (21 de julho de 2018): 814–30. http://dx.doi.org/10.1515/jisys-2018-0194.
Texto completo da fonteJahanbakhsh, Farnaz, Elnaz Nouri, Robert Sim, Ryen W. White e Adam Fourney. "Understanding Questions that Arise When Working with Business Documents". Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (7 de novembro de 2022): 1–24. http://dx.doi.org/10.1145/3555761.
Texto completo da fonteBhole, Pankaj Kailas, e A. J. Agrawal. "Extractive Based Single Document Text Summarization Using Clustering Approach". IAES International Journal of Artificial Intelligence (IJ-AI) 3, n.º 2 (1 de junho de 2014): 73. http://dx.doi.org/10.11591/ijai.v3.i2.pp73-78.
Texto completo da fonteSukatemin, Sukatemin, e Yuli Peristiowati. "Transformation Concept of Artificial Intelligencein the Early Identification of Tuberculosis Recovery Phase: A Systematic Literature Review". INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) 5, n.º 1 (27 de junho de 2023): 30–41. http://dx.doi.org/10.36566/ijhsrd/vol5.iss1/144.
Texto completo da fonteEckroth, Joshua. "Evolution of a Robust AI System: A Case Study of AAAI’s AI-Alert". AI Magazine 41, n.º 4 (28 de dezembro de 2020): 17–38. http://dx.doi.org/10.1609/aimag.v41i4.5309.
Texto completo da fonteWang, Qin, Shou Ning Qu, Tao Du e Ming Jing Zhang. "The Research and Application in Intelligent Document Retrieval Based on Text Quantification and Subject Mapping". Advanced Materials Research 605-607 (dezembro de 2012): 2561–68. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2561.
Texto completo da fonteKim, Sunhye, e Byungun Yoon. "Multi-document summarization for patent documents based on generative adversarial network". Expert Systems with Applications 207 (novembro de 2022): 117983. http://dx.doi.org/10.1016/j.eswa.2022.117983.
Texto completo da fonteBurget, Radek, e Pavel Smrz. "Extracting Visually Presented Element Relationships from Web Documents". International Journal of Cognitive Informatics and Natural Intelligence 7, n.º 2 (abril de 2013): 13–29. http://dx.doi.org/10.4018/ijcini.2013040102.
Texto completo da fonteUmehara, Masayuki, Koji Iwanuma e Hidetomo Nabashima. "A Case-Based Recognition of Semantic Structures in HTML Documents Which Constitutes a Document Series". Transactions of the Japanese Society for Artificial Intelligence 17, n.º 6 (2002): 690–98. http://dx.doi.org/10.1527/tjsai.17.690.
Texto completo da fonteLIU, YONGLI, YUANXIN OUYANG e ZHANG XIONG. "INCREMENTAL CLUSTERING USING INFORMATION BOTTLENECK THEORY". International Journal of Pattern Recognition and Artificial Intelligence 25, n.º 05 (agosto de 2011): 695–712. http://dx.doi.org/10.1142/s0218001411008622.
Texto completo da fonteDutta, Subhayu, Subhrangshu Adhikary e Ashutosh Dhar Dwivedi. "VisFormers—Combining Vision and Transformers for Enhanced Complex Document Classification". Machine Learning and Knowledge Extraction 6, n.º 1 (16 de fevereiro de 2024): 448–63. http://dx.doi.org/10.3390/make6010023.
Texto completo da fonteDMITRIY N., PETROV, e LUTSKO ANDREY N. "AUTOMATION OF ELECTRONIC-PRINTING OFFICE WORK WITH THE DOCUMENTS IDENTIFICATION AND VERIFICATION". CASPIAN JOURNAL: Control and High Technologies 54, n.º 2 (2021): 81–89. http://dx.doi.org/10.21672/2074-1707.2021.53.1.081-089.
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