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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 /
Published 2020Table 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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Global Perspectives on Educational Innovations for Emergency Situations
Published 2022Table of Contents: “…CHAPA) -- Chapter 21 - TRANSFORMING EMERGENCY INTO OPPORTUNITY (EMILY YORK, DIANE WILCOX, JONATHAN STEWART, SEAN MCCARTHY, KENNETH BARRON) -- PART III - EUROPEAN REGION AND EASTERN MEDITERRANEAN REGION -- Chapter 22 - ONLINE HIGHER EDUCATION IN THE WAKE OF COVID-19: A SYSTEM THINKING PERSPECTIVE (FAWAD SADIQ, MUHAMMAD SADIQ MALIK) -- Chapter 23 - MOVING VOLLEYBALL COACHES EDUCATION ONLINE: A CASE STUDY (JOSEF BUCHNER, MARTIN PLESSL) -- Chapter 24 - DISTANCE LEARNING AND THE INFLUENCE OF SCHOOLS' ORGANIZATIONAL CHARACTERISTICS ON THE STUDENTS PERCEIVED LEARNING SUCCESS (JAN DELCKER, DIRK IFENTHALER) -- PART IV - SOUTH-EAST ASIAN REGION AND WESTERN PACIFIC REGION -- Chapter 25 - ONLINE LEARNING ENVIRONMENTS AND STUDENT ENGAGEMENT: MEETING THE PSYCHOLOGICAL NEEDS OF LEARNERS DURING THE COVID-19 PANDEMIC (VO NGOC HOI) -- Chapter 26 - FROM EMERGENCY REMOTE TEACHING TO EFFECTIVE ONLINE LEARNING (ASHUTOSH RAINA, ARCHANA RANE, LUCIAN NGEZE, SAHANA MURTHY, SRIDHAR IYER) -- Chapter 27 - IMPACT OF THE COVID-19 PANDEMIC ON EDUCATION IN JAPAN AND THE ROLE OF THE JAPAN SOCIETY FOR EDUCATIONAL TECHNOLOGY (YOSHIKO GODA, TOMOMI TAKABAYASHI, KATSUAKI SUZUKI) -- Chapter 28 - CHINA'S EXPERIENCE OF ONLINE EDUCATION DURING THE COVID-19 PANDEMIC (XIAOQING GU, LING LI) -- Chapter 29 - RESPONSIVE ONLINE COURSE DESIGN - MICROCREDENTIALS AND NON-LINEAR PATHWAYS IN HIGHER EDUCATION (KEITH HEGGART) -- Chapter 30 - EMERGING REFORM OF HIGHER EDUCATION IN POST PANDEMIC (INSOOK LEE, YOONIL AUH, HEE CYBER, EUNBAE LEE) -- Chapter 31 - EVOLUTION OF CLINICAL EDUCATION UNDER COVID-19PANDEMIC (ALEXANDER WOO, SHIRLEY NGAI). .…”
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