Risultati della ricerca - "deep neural network"

Epileptic Seizure Detection Using Brain-Rhythmic Recurrence Biomarkers and ONASNet-Based Transfer Learning di Zhenxi Song, Bin Deng, Jiang Wang, Guosheng Yi, Wei Yue

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Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches di Dai Su, Xingyu Zhang, Xingyu Zhang, Kevin He, Yingchun Chen, Yingchun Chen, Nina Wu

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Discovering functional impacts of miRNAs in cancers using a causal deep learning model di Lujia Chen, Xinghua Lu

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HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD) di Yen-Jung Chiu, Chung-En Ni, Yen-Hua Huang

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Automatic mapping of high-risk urban areas for Aedes aegypti infestation based on building facade image analysis. di Camila Laranjeira, Matheus Pereira, Raul Oliveira, Gerson Barbosa, Camila Fernandes, Patricia Bermudi, Ester Resende, Eduardo Fernandes, Keiller Nogueira, Valmir Andrade, José Alberto Quintanilha, Jefersson A Dos Santos, Francisco Chiaravalloti-Neto

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Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer di Leyuan Meng, Ping Zhu, Ping Zhu, Kaijian Xia, Kaijian Xia

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Update and Application of a Deep Learning Model for the Prediction of Interactions between Drugs Used by Patients with Multiple Sclerosis di Michael Hecker, Niklas Frahm, Uwe Klaus Zettl

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Stain normalization gives greater generalizability than stain jittering in neural network training for the classification of coeliac disease in duodenal biopsy whole slide images di B.A. Schreiber, J. Denholm, J.D. Gilbey, C.-B. Schönlieb, E.J. Soilleux

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Deep learning to estimate human epidermal growth factor receptor 2 status from hematoxylin and eosin-stained breast tissue images di Deepak Anand, Nikhil Cherian Kurian, Shubham Dhage, Neeraj Kumar, Swapnil Rane, Peter H Gann, Amit Sethi

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Machine learning models to predict the maximum severity of COVID-19 based on initial hospitalization record di Suhyun Hwangbo, Suhyun Hwangbo, Yoonjung Kim, Chanhee Lee, Seungyeoun Lee, Bumjo Oh, Min Kyong Moon, Min Kyong Moon, Shin-Woo Kim, Taesung Park, Taesung Park

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Identifying factors associated with opioid cessation in a biracial sample using machine learning di Jiayi W. Cox, Richard M. Sherva, Kathryn L. Lunetta, Richard Saitz, Mark Kon, Henry R. Kranzler, Joel Gelernter, Lindsay A. Farrer

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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation di Chung, Heewon, Ko, Hoon, Kang, Wu Seong, Kim, Kyung Won, Lee, Hooseok, Park, Chul, Song, Hyun-Ok, Choi, Tae-Young, Seo, Jae Ho, Lee, Jinseok

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Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach di James Yeongjun Park, Tzu-Chun Hsu, Jiun-Ruey Hu, Chun-Yuan Chen, Wan-Ting Hsu, Matthew Lee, Joshua Ho, Chien-Chang Lee

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Acute Exacerbation of a Chronic Obstructive Pulmonary Disease Prediction System Using Wearable Device Data, Machine Learning, and Deep Learning: Development and Cohort Study di Wu, Chia-Tung, Li, Guo-Hung, Huang, Chun-Ta, Cheng, Yu-Chieh, Chen, Chi-Hsien, Chien, Jung-Yien, Kuo, Ping-Hung, Kuo, Lu-Cheng, Lai, Feipei

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Comparing machine learning with case-control models to identify confirmed dengue cases. di Tzong-Shiann Ho, Ting-Chia Weng, Jung-Der Wang, Hsieh-Cheng Han, Hao-Chien Cheng, Chun-Chieh Yang, Chih-Hen Yu, Yen-Jung Liu, Chien Hsiang Hu, Chun-Yu Huang, Ming-Hong Chen, Chwan-Chuen King, Yen-Jen Oyang, Ching-Chuan Liu

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Linguistic Pattern-Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases-Mai... di Yung-Chun Chang, Yu-Wen Chiu, Ting-Wu Chuang

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Chest X‐ray‐based opportunistic screening of sarcopenia using deep learning di Jin Ryu, Sujeong Eom, Hyeon Chang Kim, Chang Oh Kim, Yumie Rhee, Seng Chan You, Namki Hong

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Evaluating the Potential of Machine Learning and Wearable Devices in End-of-Life Care in Predicting 7-Day Death Events Among Patients With Terminal Cancer: Cohort Study di Jen-Hsuan Liu, Chih-Yuan Shih, Hsien-Liang Huang, Jen-Kuei Peng, Shao-Yi Cheng, Jaw-Shiun Tsai, Feipei Lai

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Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Stu... di Sangwon Baek, Yeon joo Jeong, Yun-Hyeon Kim, Jin Young Kim, Jin Hwan Kim, Eun Young Kim, Jae-Kwang Lim, Jungok Kim, Zero Kim, Kyunga Kim, Myung Jin Chung

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Computer Aided Verification 33rd International Conference, CAV 2021, Virtual Event, July 20-23, 2021, Proceedings, Part I /

Sommario: “...Invited Papers -- NNrepair: Constraint-based Repair of Neural Network Classifiers -- Balancing automation and control for formal verification of microprocessors -- Algebraic Program Analysis -- Programmable Program Synthesis -- Deductive Synthesis of Programs with Pointers: Techniques, Challenges, Opportunities -- AI Verification -- DNNV: A Framework for Deep Neural Network Verification -- Robustness Verification of Quantum Classifiers -- BDD4BNN: A BDD-based Quantitative Analysis Framework for Binarized Neural Networks -- Automated Safety Verification of Programs Invoking Neural Networks -- Scalable Polyhedral Verification of Recurrent Neural Networks -- Verisig 2.0: Verification of Neural Network Controllers Using Taylor Model Preconditioning -- Robustness Verification of Semantic Segmentation Neural Networks using Relaxed Reachability -- PEREGRiNN: Penalized-Relaxation Greedy Neural Network Verifier -- Concurrency and Blockchain -- Isla: Integrating full-scale ISA semantics andaxiomatic concurrency models -- Summing Up Smart Transitions -- Stateless Model Checking under a Reads-Value-From Equivalence -- Gobra: Modular Specification and Verification of Go Programs -- Delay-Bounded Scheduling Without Delay! ...”
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