Search Results - Vugraph~

Expert-Augmented Computational Drug Repurposing Identified Baricitinib as a Treatment for COVID-19 by Daniel P. Smith, Olly Oechsle, Michael J. Rawling, Ed Savory, Alix M.B. Lacoste, Peter John Richardson

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Simulation of COVID-19 Propagation Scenarios in the Madrid Metropolitan Area by David E. Singh, Maria-Cristina Marinescu, Miguel Guzmán-Merino, Christian Durán, Concepción Delgado-Sanz, Concepción Delgado-Sanz, Diana Gomez-Barroso, Diana Gomez-Barroso, Jesus Carretero

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Prediction of multiple types of drug interactions based on multi-scale fusion and dual-view fusion by Dawei Pan, Ping Lu, Yunbing Wu, Liping Kang, Fengxin Huang, Kaibiao Lin, Fan Yang, Fan Yang

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Profil Kemampuan Berpikir Kritis Mahasiswa Program Studi Pendidikan IPA dalam Kasus Grafik Kinematika Satu Dimensi by Intan Ekananda Kirana, Sentot Kusairi

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Multimodal Autism Spectrum Disorder Diagnosis Method Based on DeepGCN by Mingzhi Wang, Jifeng Guo, Yongjie Wang, Ming Yu, Jingtan Guo

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Intelligent question answering system for traditional Chinese medicine based on BSG deep learning model: taking prescription and Chinese materia medica as examples by Ran Li, Gao Ren, Junfeng Yan, Beiji Zou, Qingping Liu

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Meningkatkan Kemampuan Bekerja dengan Grafik melalui Pembelajaran Kinematika by Nurul Hidayah, Sutopo Sutopo, Hari Wisodo

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HASIL CROSS PRODUCT DARI DUA GRAF-K by Rizza Lestari, -

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How many days of monitoring predict physical activity and sedentary behaviour in older adults? by Cashin Susan E, Swartz Ann M, Hart Teresa L, Strath Scott J

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PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE STAD UNTUK MENINGKATKAN HASIL BELAJAR ASPEK KOGNITIF DAN KEMAMPUAN INTERPRETASI GRAFIK SISWA SMP by Agustina, Evira

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KARAKTERISTIK FUNGSI DISTRIBUSI FOUR-PARAMETER GENERALIZED-t by Rahman Cahyadi, Warsono , Mustofa Usman, Dian Kurniasari

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Advances in Intelligent Data Analysis XVIII 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings /

Table of Contents: “…Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder -- Dual Sequential Variational Autoencoders for Fraud Detection -- A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks -- Efficient Batch-Incremental Classification Using UMAP for Evolving Data Streams -- GraphMDL: Graph Pattern Selection Based on Minimum Description Length -- Towards Content Sensitivity Analysis -- Gibbs Sampling Subjectively Interesting Tiles -- Even Faster Exact k-Means Clustering -- Ising-Based Consensus Clustering on Special Purpose Hardware -- Transfer Learning by Learning Projections from Target to Source -- Computing Vertex-Vertex Dissimilarities Using Random Trees: Application to Clustering in Graphs -- Towards Evaluation of CNN Performance in Semantically Meaningful Latent Spaces -- Vouw: Geometric Pattern Mining Using the MDL Principle -- A Consensus Approach to Improve NMF Document Clustering -- Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams -- Widening for MDL-Based Retail Signature Discovery -- Addressing the Resolution Limit and the Field of View Limit in Community Mining -- Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics -- Adversarial Attacks Hidden in Plain Sight -- Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code -- Overlapping Hierarchical Clustering (OHC) -- Digital Footprints of International Migration on Twitter -- Percolation-Based Detection of Anomalous Subgraphs in Complex Networks -- A Late-Fusion Approach to Community Detection in Attributed Networks -- Reconciling Predictions in the Regression Setting: an Application to Bus Travel Time Prediction -- A Distribution Dependent and Independent Complexity Analysis of Manifold Regularization -- Actionable Subgroup Discovery and Urban Farm Optimization -- AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model -- Detection ofDerivative Discontinuities in Observational Data -- Improving Prediction with Causal Probabilistic Variables -- DO-U-Net for Segmentation and Counting -- Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media -- Event Recognition Based on Classification of Generated Image Captions -- Human-to-AI Coach: Improving Human Inputs to AI Systems -- Aleatoric and Epistemic Uncertainty with Random Forests -- Master your Metrics with Calibration -- Supervised Phrase-Boundary Embeddings -- Predicting Remaining Useful Life with Similarity-Based Priors -- Orometric Methods in Bounded Metric Data -- Interpretable Neuron Structuring with Graph Spectral Regularization -- Comparing the Preservation of Network Properties by Graph Embeddings -- Making Learners (More) Monotone -- Combining Machine Learning and Simulation to a Hybrid Modelling Approach -- LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification -- Angle-Based Crowding Degree Estimation for Many-Objective Optimization.…”
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Frequency format diagram and probability chart for breast cancer risk communication: a prospective, randomized trial by Wahner-Roedler Dietlind, Johnson Ruth E, Sandhu Nicole P, Neal Lonzetta, Williams Constance I, Pruthi Sandhya, Crawford Brianna J, Ghosh Karthik, Britain Marcia K, Cha Stephen S, Ghosh Amit K

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Promoting appropriate medication use by leveraging medical big data by Linghong Hong, Shiwang Huang, Xiaohai Cai, Zhiming Lin, Yunting Shao, Longbiao Chen, Min Zhao, Chenhui Yang

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DoubleSG-DTA: Deep Learning for Drug Discovery: Case Study on the Non-Small Cell Lung Cancer with <i>EGFR</i>^{<i>T</i>790<i>M</i>} Mutation by Yongtao Qian, Wanxing Ni, Xingxing Xianyu, Liang Tao, Qin Wang

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KELAYAKAN BUKU SANTUN BERBAHASA UNTUK PENGASUHAN BERBAHASA PESERTA DIDIK TK DI KABUPATEN KUDUS by Ristiyani Ristiyani, Mila Roysa, Fina Fakhriyah

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CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children by Jordan A. Carlson, Nicola D. Ridgers, Supun Nakandala, Rong Zablocki, Fatima Tuz-Zahra, John Bellettiere, Paul R. Hibbing, Chelsea Steel, Marta M. Jankowska, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Jingjing Zou, Andrea Z. LaCroix, Arun Kumar, Loki Natarajan

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Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors by Rong W. Zablocki, Sheri J. Hartman, Chongzhi Di, Jingjing Zou, Jordan A. Carlson, Paul R. Hibbing, Dori E. Rosenberg, Mikael Anne Greenwood-Hickman, Lindsay Dillon, Andrea Z. LaCroix, Loki Natarajan

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Grouping оf Complexes оf Multiphase Queuing Systems. by G. M. Zholtkevych, Z. F. Nazyrov, S. Y. Ignatov

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Algorithms for Big Data DFG Priority Program 1736 /

Table of Contents: “…Big Data, Scalability, Algorithms, Applications, Graphs, Networks, Parallelism, Distributed, Memory Hierarchy, Algorithm Engineering, Network Analysis, Random Graphs, Graph Clustering, Data Streams, Cryptography, Energy Efficiency, Text Indices.…”
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