Arama Sonuçları - "deep neural networks"

A Proposal for a Predictive Model for the Number of Patients with Periodontitis Exposed to Particulate Matter and Atmospheric Factors Using Deep Learning Yazar: Septika Prismasari, Kyuseok Kim, Hye Young Mun, Jung Yun Kang

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Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells Yazar: Shuyun He, Shuyun He, Duancheng Zhao, Duancheng Zhao, Yanle Ling, Yanle Ling, Hanxuan Cai, Hanxuan Cai, Yike Cai, Jiquan Zhang, Ling Wang, Ling Wang

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Predicting preterm birth using auto-ML frameworks: a large observational study using electronic inpatient discharge data Yazar: Deming Kong, Ye Tao, Haiyan Xiao, Huini Xiong, Weizhong Wei, Miao Cai

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Individual Factors Associated With COVID-19 Infection: A Machine Learning Study Yazar: Tania Ramírez-del Real, Tania Ramírez-del Real, Mireya Martínez-García, Manlio F. Márquez, Laura López-Trejo, Guadalupe Gutiérrez-Esparza, Guadalupe Gutiérrez-Esparza, Enrique Hernández-Lemus, Enrique Hernández-Lemus

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Synthetic EMG Based on Adversarial Style Transfer Can Effectively Attack Biometric-Based Personal Identification Models Yazar: Peiqi Kang, Shuo Jiang, Peter B. Shull

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Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models Yazar: Qihang Wang, Feng Liu, Guihong Wan, Ying Chen

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Extracting Phonetic Posterior-Based Features for Detecting Multiple Sclerosis From Speech Yazar: Gabor Gosztolya, Veronika Svindt, Judit Bona, Ildiko Hoffmann

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Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers Yazar: Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Dhinesh Suntharalingham, Simon L. Kappel, Anjula C. De Silva, Chamira U. S. Edussooriya

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The application of convolutional neural network to stem cell biology Yazar: Dai Kusumoto, Shinsuke Yuasa

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Domain-Generalized EEG Classification With Category-Oriented Feature Decorrelation and Cross-View Consistency Learning Yazar: Shuang Liang, Changsheng Xuan, Wenlong Hang, Baiying Lei, Jun Wang, Jing Qin, Kup-Sze Choi, Yu Zhang

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Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting Yazar: Jianglai Yu, Lei Zhang, Dongzhou Cheng, Wenbo Huang, Hao Wu, Aiguo Song

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Efficient Learning Machines Theories, Concepts, and Applications for Engineers and System Designers / Yazar: Awad, Mariette, Khanna, Rahul

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Tools and Algorithms for the Construction and Analysis of Systems 24th International Conference, TACAS 2018, Held as Part of the European Joint Conferences on Theory and Practice o...

İçindekiler: “…Theorem Proving -- Unification with Abstraction and Theory Instantiation in Saturation-based Reasoning -- Efficient verification of imperative programs using auto2 -- Frame Inference for Inductive Entailment Proofs in Separation Logic -- Verified Model Checking of Timed Automata -- SAT and SMT I -- Chain Reduction for Binary and Zero-Suppressed Decision Diagrams -- CDCLSym: Introducing E_ective Symmetry Breaking in SAT Solving -- Automatic Generation of Precise and Useful Commutativity Conditions -- Bit-Vector Model Counting using Statistical Estimation -- Deductive Verification -- Hoare Logics for Time Bounds -- A Verified Implementation of the Bounded List Container -- Automating Deductive Verification for Weak-Memory Programs -- Software Verification and Optimisation -- Property Checking Array Programs Using Loop Shrinking -- Invariant Synthesis for Incomplete Verification Engines -- Accelerating Syntax-Guided Invariant Synthesis -- Daisy - Framework for Analysis and Optimization of Numerical Programs -- Model Checking -- Oink: an Implementation and Evaluation of Modern Parity Game Solvers -- More Scalable LTL Model Checking via Discovering Design-Space Dependencies (D^3) -- Generation of Minimum Tree-like Witnesses for Existential CTL -- From Natural Projection to Partial Model Checking and Back -- Machine Learning -- ICE-based Refinement Type Discovery for Higher-Order Functional Programs -- Strategy Representation by Decision Trees in Reactive Synthesis -- Feature-Guided Black-Box Safety Testing of Deep Neural Networks. .…”
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Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers Yazar: Mariette Awad

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Innovative Topologies and Algorithms for Neural Networks

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xxAI - Beyond Explainable AI International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers

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Recent Advances in Embedded Computing, Intelligence and Applications

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Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study Yazar: Shahab Haghayegh, Kun Hu, Katie Stone, Susan Redline, Eva Schernhammer

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Deep simulated annealing for the discovery of novel dental anesthetics with local anesthesia and anti-inflammatory properties Yazar: Yihang Hao, Haofan Wang, Xianggen Liu, Wenrui Gai, Shilong Hu, Wencheng Liu, Zhuang Miao, Yu Gan, Xianghua Yu, Rongjia Shi, Yongzhen Tan, Ting Kang, Ao Hai, Yi Zhao, Yihang Fu, Yaling Tang, Ling Ye, Jin Liu, Xinhua Liang, Bowen Ke

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Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation Yazar: Chao Jiang, Victoria Ngo, Richard Chapman, Yue Yu, Hongfang Liu, Guoqian Jiang, Nansu Zong

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