Výsledky vyhledávání - Computer Learning AND Pattern Recognition::Natural Language Processing*

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  1. 1

    A deep learning based algorithm for multi-criteria recommender systems Autor Shambour, Qusai

    ISSN: 0950-7051, 1872-7409
    Vydáno: Amsterdam Elsevier B.V 09.01.2021
    Vydáno v Knowledge-based systems (09.01.2021)
    “… in terms of many aspects. On the another hand, deep learning techniques achieve promising performance in many research areas such as image processing, computer vision, pattern recognition and natural language processing…”
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    Journal Article
  2. 2

    uxSense: Supporting User Experience Analysis with Visualization and Computer Vision Autor Batch, Andrea, Ji, Yipeng, Fan, Mingming, Zhao, Jian, Elmqvist, Niklas

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Vydáno: United States IEEE 01.07.2024
    “… Our implementation draws on pattern recognition, computer vision, natural language processing, and machine learning to extract user sentiment, actions, posture, spoken words, and other features from such recordings…”
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    Journal Article
  3. 3

    Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review Autor Bianchi, Valentina, Giambusso, Mauro, De Iacob, Alessandra, Chiarello, Maria Michela, Brisinda, Giuseppe

    ISSN: 2038-131X, 2038-3312, 2038-3312
    Vydáno: Cham Springer International Publishing 01.06.2024
    Vydáno v Updates in surgery (01.06.2024)
    “… Artificial intelligence has several subdivisions, including machine learning, natural language processing, computer vision, and robotics…”
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    Journal Article
  4. 4

    Deep Learning for Human Activity Recognition in Mobile Computing Autor Plotz, Thomas, Guan, Yu

    ISSN: 0018-9162, 1558-0814
    Vydáno: New York IEEE 01.05.2018
    Vydáno v Computer (Long Beach, Calif.) (01.05.2018)
    “…By leveraging advances in deep learning, challenging pattern recognition problems have been solved in computer vision, speech recognition, natural language processing…”
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    Journal Article
  5. 5

    Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems Autor Fraihat, Salam, Shambour, Qusai, Al-Betar, Mohammed Azmi, Makhadmeh, Sharif Naser

    ISSN: 1999-4893, 1999-4893
    Vydáno: Basel MDPI AG 01.12.2024
    Vydáno v Algorithms (01.12.2024)
    “…) models demonstrated outstanding performance across different domains: computer vision, natural language processing, image analysis, pattern recognition, and recommender systems…”
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    Journal Article
  6. 6

    EGRTE: adversarially training a self-explaining smoothed classifier for certified robustness Autor Lin, Zijin, He, Jinwen, Zhao, Yue, Liang, Ruigang, Li, Hu, Wu, Zhendong

    ISSN: 2523-3246, 2523-3246
    Vydáno: Singapore Springer Nature Singapore 01.12.2025
    Vydáno v Cybersecurity (Singapore) (01.12.2025)
    “…Deep learning has transformed fields such as computer vision, natural language processing, and audio analysis through its powerful pattern recognition and predictive capabilities…”
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    Journal Article
  7. 7

    Deep Learning Based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing Autor He, Haibo, Jiang, He

    ISSN: 1536-1284, 1558-0687
    Vydáno: New York IEEE 01.06.2019
    Vydáno v IEEE wireless communications (01.06.2019)
    “…Deep learning has achieved remarkable breakthroughs in the past decade across a wide range of application domains, such as computer games, natural language processing, pattern recognition, and medical…”
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    Journal Article
  8. 8

    Artificial Intelligence and Data Analytics for Energy Exploration and Production Autor Fred Aminzadeh, Cenk Temizel, Yasin Hajizadeh

    ISBN: 9781119879695, 1119879698, 9781119879886, 1119879884
    Vydáno: Newark John Wiley & Sons 2022
    “…, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural…”
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    E-kniha
  9. 9

    A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View Autor Liu, Qiang, Li, Pan, Zhao, Wentao, Cai, Wei, Yu, Shui, Leung, Victor C. M.

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2018
    Vydáno v IEEE access (01.01.2018)
    “…Machine learning is one of the most prevailing techniques in computer science, and it has been widely applied in image processing, natural language processing, pattern recognition, cybersecurity, and other fields…”
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    Journal Article
  10. 10

    AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis Autor Twala, Bhekisipho

    ISSN: 1663-4365, 1663-4365
    Vydáno: Switzerland Frontiers Media S.A 28.07.2025
    Vydáno v Frontiers in aging neuroscience (28.07.2025)
    “…Parkinson's disease (PD) represents one of the most prevalent neurodegenerative disorders globally, affecting over 10 million individuals worldwide…”
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    Journal Article
  11. 11

    Big Data Deep Learning: Challenges and Perspectives Autor Chen, Xue-Wen, Lin, Xiaotong

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2014
    Vydáno v IEEE access (2014)
    “… It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing…”
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    Journal Article
  12. 12

    ICTACS 2006: the First International Conference on Theories and Applications of Computer Science 2006 : Ho Chi Minh City, Vietnam, 3-5 August 2006 Autor Ho, Bao T, Dong, Thuy T. B, Duong, Due A, Nguyen, Thuc D

    ISBN: 9812700633, 9789812700636
    Vydáno: World Scientific Publishing Co. Pte. Ltd 2007
    “…: image processing, computer vision and pattern recognition; computational linguistics and natural language processing…”
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    E-kniha
  13. 13

    Learning to Prompt for Vision-Language Models Autor Zhou, Kaiyang, Yang, Jingkang, Loy, Chen Change, Liu, Ziwei

    ISSN: 0920-5691, 1573-1405
    Vydáno: New York Springer US 01.09.2022
    “…Large pre-trained vision-language models like CLIP have shown great potential in learning representations that are transferable across a wide range of downstream tasks…”
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  14. 14

    Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities Autor Nisar, Dur-E-Maknoon, Amin, Rashid, Shah, Noor-Ul-Huda, Ghamdi, Mohammed A. Al, Almotiri, Sultan H., Alruily, Meshrif

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 2021
    Vydáno v IEEE access (2021)
    “… Deep learning or neural networks have been deployed in several fields, such as computer vision, natural language processing, and speech recognition…”
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    Journal Article
  15. 15

    Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment Autor Mezgec, Simon, Eftimov, Tome, Bucher, Tamara, Koroušić Seljak, Barbara

    ISSN: 1368-9800, 1475-2727, 1475-2727
    Vydáno: Cambridge, UK Cambridge University Press 01.05.2019
    Vydáno v Public health nutrition (01.05.2019)
    “… The methodology combines fake-food image recognition using deep learning and food matching and standardization based on natural language processing…”
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    Journal Article
  16. 16

    uxSense: Supporting User Experience Analysis with Visualization and Computer Vision Autor Batch, Andrea, Ji, Yipeng, Fan, Mingming, Zhao, Jian, Elmqvist, Niklas

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 11.10.2023
    Vydáno v arXiv.org (11.10.2023)
    “… Our implementation draws on pattern recognition, computer vision, natural language processing, and machine learning to extract user sentiment, actions, posture, spoken words, and other features from such recordings…”
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    Paper
  17. 17

    Data augmentation in natural language processing: a novel text generation approach for long and short text classifiers Autor Bayer, Markus, Kaufhold, Marc-André, Buchhold, Björn, Keller, Marcel, Dallmeyer, Jörg, Reuter, Christian

    ISSN: 1868-8071, 1868-808X, 1868-808X
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2023
    “…In many cases of machine learning, research suggests that the development of training data might have a higher relevance than the choice and modelling of classifiers themselves…”
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  18. 18

    Special issue on Mexican International Conference on Artificial Intelligence, MICAI 2014 and 2015 Autor Ponce, Hiram, González-Mendoza, Miguel, Martínez-Villaseñor, Ma. Lourdes

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2017
    Vydáno v Soft computing (Berlin, Germany) (01.02.2017)
    “…), including but not limited to: expert systems and knowledge-based systems, knowledge representation and acquisition, multi-agent systems and distributed AI, natural language processing, intelligent interfaces, computer vision…”
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    Journal Article
  19. 19

    CLIP-Adapter: Better Vision-Language Models with Feature Adapters Autor Gao, Peng, Geng, Shijie, Zhang, Renrui, Ma, Teli, Fang, Rongyao, Zhang, Yongfeng, Li, Hongsheng, Qiao, Yu

    ISSN: 0920-5691, 1573-1405
    Vydáno: New York Springer US 01.02.2024
    “…Large-scale contrastive vision-language pretraining has shown significant progress in visual representation learning…”
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  20. 20

    Deep Learning for Generic Object Detection: A Survey Autor Liu, Li, Ouyang, Wanli, Wang, Xiaogang, Fieguth, Paul, Chen, Jie, Liu, Xinwang, Pietikäinen, Matti

    ISSN: 0920-5691, 1573-1405
    Vydáno: New York Springer US 01.02.2020
    “…Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images…”
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    Journal Article