Resultados de búsqueda - Classification algorithms

LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites. por Huang, Guohua, Shen, Qingfeng, Zhang, Guiyang, Wang, Pan, Yu, Zu-Guo

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CT Texture Analysis for Preoperative Identification of Lymphoma from Other Types of Primary Small Bowel Malignancies. por Liu, Shunli, Zhang, Chuanyu, Liu, Ruiqing, Li, Shaoke, Xu, Fenglei, Liu, Xuejun, Li, Zhiming, Hu, Yabin, Ge, Yaqiong, Chen, Jiao, Zhang, Zaixian

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Cell Heterogeneity Analysis in Single-Cell RNA-seq Data Using Mixture Exponential Graph and Markov Random Field Model. por Wang, Yishu, Tian, Xuehan, Ai, Dongmei

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Optical tissue measurements of invasive carcinoma and ductal carcinoma in situ for surgical guidance. por de Boer, Lisanne L., Kho, Esther, Van de Vijver, Koen K., Vranken Peeters, Marie-Jeanne T. F. D., van Duijnhoven, Frederieke, Hendriks, Benno H. W., Sterenborg, Henricus J. C. M., Ruers, Theo J. M.

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Supporting Real World Decision Making in Coronary Diseases Using Machine Learning. por Kokol, Peter, Jurman, Jan, Bogovič, Tajda, Završnik, Tadej, Završnik, Jernej, Blažun Vošner, Helena

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Chemometric Analysis of UV-Visible Spectral Fingerprints for the Discrimination and Quantification of Clinical Anthracycline Drug Preparation Used in Oncology. por El Orche, Aimen, Adade, Casimir Adade, Mefetah, Hafid, Cheikh, Amine, Karrouchi, Khalid, El Karbane, Miloud, Bouatia, Mustapha

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Safety and Effect of a Low- and High-Dose Multi-Strain Probiotic Supplement on Microbiota in a General Adult Population: A Randomized, Double-Blind, Placebo-Controlled Study. por Tremblay, Annie, Fatani, Asmaa, Ford, Amanda L., Piano, Amanda, Nagulesapillai, Varuni, Auger, Jeremie, MacPherson, Chad W., Christman, Mary C., Tompkins, Thomas A., Dahl, Wendy J.

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Jaya Ant lion optimization-driven Deep recurrent neural network for cancer classification using gene expression data. por Majji, Ramachandro, Nalinipriya, G., Vidyadhari, Ch., Cristin, R.

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Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. por Carvalho, Sarah Negreiros de, Vargas, Guilherme Vettorazzi, da Silva Costa, Thiago Bulhões, de Arruda Leite, Harlei Miguel, Coradine, Luís, Boccato, Levy, Soriano, Diogo Coutinho, Attux, Romis

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Heterogeneous ensemble with information theoretic diversity measure for human epithelial cell image classification. por Gupta, Vibha, Bhavsar, Arnav

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Pancreas image mining: a systematic review of radiomics. por Abunahel, Bassam M., Pontre, Beau, Kumar, Haribalan, Petrov, Maxim S.

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Perceived versus objective sleep quality in long-stay hospitalised older adults—a mixed methods study. por Aluzaite, Kristina, Wu, Harry, Hyslop, Brent, Young, Jessica, Schultz, Michael, Brockway, Ben

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CT-based radiomics for differentiating renal tumours: a systematic review. por Bhandari, Abhishta, Ibrahim, Muhammad, Sharma, Chinmay, Liong, Rebecca, Gustafson, Sonja, Prior, Marita

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Ventricular pre‐excitation in primary care patients: Evaluation of the risk of mortality. por Paixão, Gabriela M. M., Lima, Emilly M., Batista, Luisa M., Santos, Luis Felipe, Araujo, Sabrina L. O., Araujo, Rodrigo M., Oliveira, Derick M., Nascimento, Jamil S., Gomes, Paulo R., Ribeiro, Antonio L.

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The Role of T-box Transcription Factor in a Pituitary Adenoma Diagnostic Algorithm. por McDonald, William C., McDonald, Kelsey N., Helmer, Jordan A., Ho, Bridget, Wang, Amber, Banerji, Nilanjana

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2021 National Teaching Institute Research Abstracts...National Teaching Institute & Critical Care Exposition (NTI), 2021, May 24-27 (Virtual)

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Hepatic Alveolar Echinococcosis: Predictive Biological Activity Based on Radiomics of MRI. por Ren, Bo, Wang, Jian, Miao, Zhoulin, Xia, Yuwei, Liu, Wenya, Zhang, Tieliang, Aikebaier, Aierken

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COVID - 19 SURVIVAL PREDICTION USING SUPERVISED MACHINE LEARNING MODELS. por SELVABANUPRIYA, T., MANIKANTA, D. THANMAYASREE NAGA, KALYAN, A. VENKATA NAGA SRI SATYA SAI PAVAN, MONIKA, M.

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TRAFFIC SIGN CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK. por RACHAPUDI, VENUBABU, RAM, M. SITHA, DILEEP, P., ROY, T. L. DEEPIKA

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MACHINE LEARNING SYSTEMS IN IMAGE MANIPULATION AND FAKE DETECTION. por PAVAN, ABBURI M. N. S. P., RAJASEKARAN, ARUN SEKAR, GEETHA, B. T., V., RADHAMANI, SUBRAMANIAN, MUTHUKUMAR, PERTI, ASHWIN

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