Výsledky vyhľadávania - Computer Learning and Pattern Recognition::Natural Language Processing

uxSense: Supporting User Experience Analysis with Visualization and Computer Vision Autor 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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A deep learning based algorithm for multi-criteria recommender systems Autor 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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Deep Learning for Human Activity Recognition in Mobile Computing Autor 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 Autor 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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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.

“…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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EGRTE: adversarially training a self-explaining smoothed classifier for certified robustness Autor 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 Autor 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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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

“… Artificial intelligence has several subdivisions, including machine learning, natural language processing, computer vision, and robotics…”
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Big Data Deep Learning: Challenges and Perspectives Autor 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 Autor 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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SALA-LSTM: a novel high-precision maritime radar target detection method based on deep learning Autor Wang, Jingang, Li, Songbin

“… is not satisfactory in actual deployment. Recently, neural-based methods have made strides in many pattern recognition tasks, such as computer vision and natural language processing…”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis Autor 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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Deep Learning for Generic Object Detection: A Survey Autor 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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Applications of Artificial Intelligence and Machine Learning in Food Quality Control and Safety Assessment Autor Chhetri, Krishna Bahadur

“…) and machine learning (ML). This thorough review paper analyses the various uses of AI and ML in food quality management and safety evaluation, offering insightful information for academics, business people and legislators…”
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Artificial Intelligence and Data Analytics for Energy Exploration and Production Autor Fred Aminzadeh, Cenk Temizel, Yasin Hajizadeh

“…, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural…”
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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

“…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 Autor 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 Autor 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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uxSense: Supporting User Experience Analysis with Visualization and Computer Vision Autor 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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MaPLe: Multi-modal Prompt Learning Autor 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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