Search Results - Computer Learning AND Pattern Recognition::Natural Language Processing~

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

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

“… 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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Deep Learning for Human Activity Recognition in Mobile Computing by Plotz, Thomas, Guan, Yu

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

“…) models demonstrated outstanding performance across different domains: computer vision, natural language processing, image analysis, pattern recognition, and recommender systems…”
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Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review by Bianchi, Valentina, Giambusso, Mauro, De Iacob, Alessandra, Chiarello, Maria Michela, Brisinda, Giuseppe

“… Artificial intelligence has several subdivisions, including machine learning, natural language processing, computer vision, and robotics…”
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EGRTE: adversarially training a self-explaining smoothed classifier for certified robustness by Lin, Zijin, He, Jinwen, Zhao, Yue, Liang, Ruigang, Li, Hu, Wu, Zhendong

“…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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Deep Learning Based Energy Efficiency Optimization for Distributed Cooperative Spectrum Sensing by He, Haibo, Jiang, He

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

“…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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Big Data Deep Learning: Challenges and Perspectives by Chen, Xue-Wen, Lin, Xiaotong

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

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

“…Parkinson's disease (PD) represents one of the most prevalent neurodegenerative disorders globally, affecting over 10 million individuals worldwide…”
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Artificial Intelligence and Data Analytics for Energy Exploration and Production by Fred Aminzadeh, Cenk Temizel, Yasin Hajizadeh

“…, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural…”
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Deep Learning for Generic Object Detection: A Survey by Liu, Li, Ouyang, Wanli, Wang, Xiaogang, Fieguth, Paul, Chen, Jie, Liu, Xinwang, Pietikäinen, Matti

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

“…Large-scale contrastive vision-language pretraining has shown significant progress in visual representation learning…”
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Hands-on Machine Learning with C++ - Build, Train, and Deploy End-to-End Machine Learning and Deep Learning Pipelines by Kolodiazhnyi, Kirill

“… The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries…”
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI by Tjoa, Erico, Guan, Cuntai

“…Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially…”
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MaPLe: Multi-modal Prompt Learning by Khattak, Muhammad Uzair, Rasheed, Hanoona, Maaz, Muhammad, Khan, Salman, Khan, Fahad Shahbaz

“… Inspired by the Natural Language Processing (NLP) literature, recent CLIP adaptation approaches learn prompts as the textual inputs to fine-tune CLIP for downstream tasks…”
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A Survey on Long-Tailed Visual Recognition by Yang, Lu, Jiang, He, Song, Qing, Guo, Jun

“…The heavy reliance on data is one of the major reasons that currently limit the development of deep learning…”
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Mixed deep learning and natural language processing method for fake-food image recognition and standardization to help automated dietary assessment by Mezgec, Simon, Eftimov, Tome, Bucher, Tamara, Koroušić Seljak, Barbara

“… The methodology combines fake-food image recognition using deep learning and food matching and standardization based on natural language processing…”
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A survey of deep neural network architectures and their applications by Liu, Weibo, Wang, Zidong, Liu, Xiaohui, Zeng, Nianyin, Liu, Yurong, Alsaadi, Fuad E.

“… with successful applications to computer vision, pattern recognition, speech recognition, natural language…”
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