Výsledky vyhledávání - "Data Mining and Machine Learning"

The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation Autor Chicco, Davide, Warrens, Matthijs J., Jurman, Giuseppe

“…Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other…”
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Computational bioacoustics with deep learning: a review and roadmap Autor Stowell, Dan

“…Animal vocalisations and natural soundscapes are fascinating objects of study, and contain valuable evidence about animal behaviours, populations and…”
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Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables Autor Hengl, Tomislav, Nussbaum, Madlene, Wright, Marvin N., Heuvelink, Gerard B.M., Gräler, Benedikt

“…Random forest and similar Machine Learning techniques are already used to generate spatial predictions, but spatial location of points (geography) is often…”
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Applications and limitations of current markerless motion capture methods for clinical gait biomechanics Autor Wade, Logan, Needham, Laurie, McGuigan, Polly, Bilzon, James

“…Markerless motion capture has the potential to perform movement analysis with reduced data collection and processing time compared to marker-based methods…”
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The impact of artificial intelligence in medicine on the future role of the physician Autor Ahuja, Abhimanyu S.

“…The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in…”
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Breast cancer detection using deep convolutional neural networks and support vector machines Autor Ragab, Dina A., Sharkas, Maha, Marshall, Stephen, Ren, Jinchang

“…It is important to detect breast cancer as early as possible. In this manuscript, a new methodology for classifying breast cancer using deep learning and some…”
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A new nested ensemble technique for automated diagnosis of breast cancer Autor Abdar, Moloud, Zomorodi-Moghadam, Mariam, Zhou, Xujuan, Gururajan, Raj, Tao, Xiaohui, Barua, Prabal D, Gururajan, Rashmi

“…•A new nested ensemble model is proposed for improving breast cancer diagnosis.•Both voting and stacking techniques are used to build nested ensemble (NE)…”
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Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images Autor Rajaraman, Sivaramakrishnan, Antani, Sameer K., Poostchi, Mahdieh, Silamut, Kamolrat, Hossain, Md. A., Maude, Richard J., Jaeger, Stefan, Thoma, George R.

“…Malaria is a blood disease caused by the Plasmodium parasites transmitted through the bite of female Anopheles mosquito. Microscopists commonly examine thick…”
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Self-supervised learning methods and applications in medical imaging analysis: a survey Autor Shurrab, Saeed, Duwairi, Rehab

“…The scarcity of high-quality annotated medical imaging datasets is a major problem that collides with machine learning applications in the field of medical…”
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Towards generalisable hate speech detection: a review on obstacles and solutions Autor Yin, Wenjie, Zubiaga, Arkaitz

“…Hate speech is one type of harmful online content which directly attacks or promotes hate towards a group or an individual member based on their actual or…”
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A scalable discrete-time survival model for neural networks Autor Gensheimer, Michael F., Narasimhan, Balasubramanian

“…There is currently great interest in applying neural networks to prediction tasks in medicine. It is important for predictive models to be able to use survival…”
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A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods Autor Zhu, A-Xing, Miao, Yamin, Liu, Junzhi, Bai, Shibiao, Zeng, Canying, Ma, Tianwu, Hong, Haoyuan

“…The absence data (samples) for landslide susceptibility mapping using data-driven methods are not available directly and often approximated by locations where…”
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PlantCV v2: Image analysis software for high-throughput plant phenotyping Autor Gehan, Malia A., Fahlgren, Noah, Abbasi, Arash, Berry, Jeffrey C., Callen, Steven T., Chavez, Leonardo, Doust, Andrew N., Feldman, Max J., Gilbert, Kerrigan B., Hodge, John G., Hoyer, J. Steen, Lin, Andy, Liu, Suxing, Lizárraga, César, Lorence, Argelia, Miller, Michael, Platon, Eric, Tessman, Monica, Sax, Tony

“…Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant…”
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A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework Autor Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Razman, Mohd Azraai Mohd, Musa, Rabiu Muazu, Ab Nasir, Ahmad Fakhri, P.P. Abdul Majeed, Anwar

“…The rice leaves related diseases often pose threats to the sustainable production of rice affecting many farmers around the world. Early diagnosis and…”
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Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms Autor Iqbal, Naveed, Mumtaz, Rafia, Shafi, Uferah, Zaidi, Syed Mohammad Hassan

“…Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude…”
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Comparison and benchmark of name-to-gender inference services Autor Santamaría, Lucía, Mihaljević, Helena

“…The increased interest in analyzing and explaining gender inequalities in tech, media, and academia highlights the need for accurate inference methods to…”
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Natural language processing for analyzing online customer reviews: a survey, taxonomy, and open research challenges Autor Malik, Nadia, Bilal, Muhammad

“…In recent years, e-commerce platforms have become popular and transformed the way people buy and sell goods. People are rapidly adopting Internet shopping due…”
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Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images Autor Rajaraman, Sivaramakrishnan, Jaeger, Stefan, Antani, Sameer K.

“…Malaria is a life-threatening disease caused by parasites that infect the red blood cells (RBCs). Manual identification and counting of parasitized cells in…”
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Research on image classification method based on improved multi-scale relational network Autor Zheng, Wenfeng, Liu, Xiangjun, Yin, Lirong

“…Small sample learning aims to learn information about object categories from a single or a few training samples. This learning style is crucial for deep…”
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Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential Autor Hengl, Tomislav, Walsh, Markus G., Sanderman, Jonathan, Wheeler, Ichsani, Harrison, Sandy P., Prentice, Iain C.

“…Potential natural vegetation (PNV) is the vegetation cover in equilibrium with climate, that would exist at a given location if not impacted by human…”
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