Search Results - "complex network"

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    Dynamics in Logistics Twenty-Five Years of Interdisciplinary Logistics Research in Bremen, Germany /

    Published 2021
    Table of Contents: “…Part I: Models and Methods for Planning in Logistics -- Autonomous Control of Logistics Processes - A Retrospective -- Explorable Uncertainty meets Decision-Making in Logistics -- Complex Networks in Manufacturing and Logistics: A Retrospect -- Recent Developments in Mathematical Traffic Models -- Part II: Digitalization and Logistics -- Intelligent Agents for Social and Learning Logistics Systems -- Semantic Interoperability for Logistics and Beyond -- Semantic Digital Twins for Retail Logistics -- A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning -- The Influence of Cognitive Biases in Production Logistics -- Part III: Fields of Application in Logistics -- Automobile Logistics 4.0 - Advances through Digitalization -- 15 Years of Intelligent Container Research -- The Rise of Ultra Large Container Vessels: Implications for Seaport Systems and Environmental Considerations -- Modeling individualized sustainable last mile logistics -- Logistics Challenges along the New Silk Roads -- Observations and Perceptions on a Doctoral Research Seminar in Engineering and Logistics.…”
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    Algorithms for Big Data DFG Priority Program 1736 /

    Published 2022
    Table of Contents: “…Algorithms for Large and Complex Networks Algorithms for Large-scale Network Analysis and the NetworKit Toolkit -- Generating Synthetic Graph Data from Random Network Models -- Sampling Efficiency for the Link Assessment Problem -- A Custom Hardware Architecture for the Link Assessment Problem -- Graph-based Methods for Rational Drug Design -- Recent Advances in Practical Data Reduction -- Skeleton-based Clustering by Quasi-Threshold Editing -- The Space Complexity of Undirected Graph Exploration -- Algorithms for Big Data and their Applications Scalable Cryptography -- Distributed Data Streams -- Energy-Efficient Scheduling -- The GENO Software Stack -- Laue Algorithms for Big Data Problems in de Novo Genome Assembly -- Scalable Text Index Construction. …”
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    Library and Information Sciences Trends and Research /

    Published 2014
    Table of Contents: “…-- Chapter 3 A Group Discussion on Information Literacy -- Part II Trends of Library and Information Sciences Education -- Chapter 4 iSchools & the iSchool at Syracuse University -- Part III Information Seeking and Retrieval -- Chapter 5 Visual Data Mining in a Q&A based Social Media Website -- Chapter 6 Information Seeking Behaviour and Usage on a Multi-media Platform: Case Study Europeana -- Chapter 7 Exploratory Search: a Critical Analysis of the Theoretical Foundations, Systems Features, and Research Trends -- Part IV Informatics -- Chapter 8 Scientific Datasets: Informetric Characteristics and Social Utility Metrics for Biodiversity Data Sources -- Chapter 9 Knowledge Discovery of Complex Networks Research Literature -- Chapter 10 Bibliometrics and University Research Rankings Demystified for Librarians -- Part V Development of World Libraries -- Chapter 11 The Development of East Asian Libraries in North America.…”
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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 2020
    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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