Web Information Systems Engineering - Wise 2020: 21st International Conference, Amsterdam, the Netherlands, October 20-24, 2020, Proceedings, Part I, Huang Zhisheng, Beek Wouter, Wang Hua
ICCS Main Track.- Modified binary tree in the fast PIES for 2D problems with complex shapes.- Generating Random Floating-Point Numbers by Dividing Integers: a Case Study.- An effective stable numerical method for integrating highly oscillating functions with a linear phase.- Fitting Penalized Logistic Regression Models using QR Factorization.- Uncertainty Quantification in Fractional Stochastic Integro-Differential Equations using Legendre Wavelet Collocation Method.- A Direct High-order Curvilinear Triangular Mesh Generation Method Using an Advancing Front Technique.- Data-driven partial differential equations discovery approach for the noised multi-dimensional data.- Preconditioning Jacobian Systems by Superimposing Diagonal Blocks.- NURBS curves in parametric integral equations system for modeling and solving boundary value problems in elasticity.- Parameterizations and Lagrange Cubics for Fitting Multidimensional Data.- Loop Aggregation for Approximate Scientific Computing.- Numerical Computation for a Flow Caused by a High-speed Traveling Train and a Stationary Overpass.- Bezier surfaces for modeling inclusions in PIES.- Impact of water on methane adsorption in nanopores: A hybrid GCMC-MD simulation study.- A stable discontinuous Galerkin based isogeometric residual minimization for the Stokes problem.- Numerical Modeling of the Two-Phase Flow of Water with Ice in the Tom River.- Remarks on Kaczmarz algorithm for solving consistent and inconsistent system of linear equations.- Investigating the Benefit of FP16-enabled Mixed-precision Solvers for Symmetric Positive Definite Matrices using GPUs.- Simulation versus ordered fuzzy numbers driven approach to multi depot vehicle cyclic routing and scheduling problem.- Epigenetic modification of genetic algorithm.- ITP-KNN: Encrypted Video Flow Identification Based on the Intermittent Traffic Pattern of Video and K-Nearest Neighbors Classification.- DeepAD-a Joint Embedding Approach for Anomaly Detection on Attributed Networks.- SciNER: Extracting Named Entities From Scientific Literature.- GPU-embedding of kNN-graph representing large and high-dimensional data.- Evolving Long Short-Term Memory Networks.- Personality Recognition from Source Code Based on Lexical, Syntactic and Semantic Features.- Data fitting by exponential sums with equal weights.- A Combination of Moment Descriptors, Fourier Transform and Matching Measures for Action Recognition Based on Shape.- Improving accuracy and speeding up Document Image Classification through parallel systems.- Computation of the airborne contaminant transport in urban area by the artificial neural network.- Exploring Musical Structure using Tonnetz Lattice Geometry and LSTMs.- Modeling of Anti-tracking Network based on Convex-polytope Topology.- A Workload Division Differential Privacy Algorithm to Improve the Accuracy for Linear Computations.- On the Automated Assessment of Open-Source Cyber Threat Intelligence Sources.- Malicious Domain Detection Based on K-means and SMOTE.- Microservice Disaster Crash Recovery: A Weak Global Referential Integrity Management.- Hashing Based Prediction for Large-Scale Kernel Machine.- Picking Peaches or Squeezing Lemons: Selecting Crowdsourcing Workers for Reducing Cost of Redundancy.- Are n-gram Categories Helpful in Text Classification?.- Calculating Reactive Power Compensation for Large-scale Street Lighting.- Developing a Decision Support App for Computational Agriculture.- Optimal Location of Sensors for Early Detection of Tsunami Waves.- A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression.- Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling.- An Adaptive Computational Network Model for Strange Loops in Political Evolution in Society.- Joint Entity Linking for Web Tables with Hybrid Semantic Matching.- A new coefficient of rankings simil
Advances in High-Performance Computational Earth Sciences: Applications and Frameworks.- Data-Driven Approach to Inversion Analysis of Three-dimensional Inner Soil Structure via Wave Propagation Analysis.- Data assimilation in volcano deformation using fast finite element analysis with high fidelity model.- Optimization and Local Time Stepping of an ADER-DG Scheme for Fully Anisotropic Wave Propagation in Complex Geometries.- The challenge of onboard SAR processing: a GPU opportunity.- High-resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large Scale Transport Simulations.- Granulation-based reverse image retrieval for microscopic rock images.- Hybrid SWAN for fast and efficient practical wave modelling - part 2.- Agent-Based Simulations, Adaptive Algorithms and Solvers.- An agent-based simulation of the spread of Dengue fever.- Hypergraph grammar-based model of adaptive bitmap compression.- Simulation of Neurotransmitter Flow in Three Dimensional Model of Presynaptic Bouton.- Scalable Signal-based Simulation of Autonomous Beings in Complex Environments.- Design of Loss Functions for Solving Inverse Problems using Deep Learning.- Asynchronous Actor-based Approach to Multiobjective Hierarchical Strategy.- MeshingNet: A New Mesh Generation Method based on Deep Learning.- A block preconditioner for scalable large scale finite element incompressible flow simulations.- Integrating Agent-Based Modelling with Copula Theory: Preliminary Insights and Open Problems.- Computational complexity of hierarchically adapted meshes.- A Novel Bio-inspired Hybrid Metaheuristic for Unsolicited Bulk Email Detection.- Applications of Computational Methods in Artificial Intelligence and Machine Learning.- Link Prediction by Analyzing Temporal Behavior of Vertices.- Detecting Most Insightful Parts of Documents using an Attention-Based Model.- Challenge Collapsar(CC) Attack Traffic Detection based on Packet Field Differentiated Preprocessing and Deep Neural Network.- Deep Low-Density Separation for Semi-Supervised Classification.- Learning functions using data-dependent regularization: Representer theorem revisited.- Reduction of Numerical Errors in Zernike Invariants Computed via Complex-Valued Integral Images.- Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-Clustering as a Neighbourhood Identification Strategy.- GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels.- Interval Adjoint Significance Analysis for Neural Networks.- Ringer: Systematic Mining of Malicious Domains by Dynamic Graph Convolutional Network.- An Empirical Evaluation Of Attention And Pointer Networks For Paraphrase Generation.- Interval methods for seeking fixed points of recurrent neural networks.- Fusion Learning: A One Shot Federated Learning.- The concept of system for automated scientific literature reviews generation.- A Proposed Machine Learning Model for Forecasting Impact of Traffic-Induced Vibrations on Buildings.- Retrain or not retrain ? - efficient pruning methods of deep CNN networks.- Hidden Markov Models and their Application for Predicting Failure Events.- Biomedical and Bioinformatics Challenges for Computer Science.- Reference-based Haplotype Phasing with FPGAs.- Tree Based Advanced Relative Expression Analysis.- Testing the significance of interactions in genetic studies using interaction information and resampling technique.- Analysis of ensemble feature selection for correlated high-dimensional RNA-Seq cancer data.- Biological Network Visualization for Targeted Proteomics based on Mean First-Passage Time in Semi-Lazy Random Walks.- Bootstrap Bias Corrected Cross Validation applied to Super Learning.- MMRF-CoMMpass data integration and analysis for identifying prognostic markers.- Using machine learning in accuracy assessment of knowledge-based energy and frequency base likelihood in pro
Classifier Learning from Difficult Data.- Different strategies of fitting logistic regression for positive and unlabelled data.- Branch-and-Bound Search for Training Cascades of Classifiers.- Application of the stochastic gradient method in the construction of the main components of PCA in the task diagnosis of multiple sclerosis in children.- Grammatical Inference by Answer Set Programming.- Dynamic Classifier Selection for data with skewed class distribution using Imbalance Ratio and Euclidean distance.- On Model Evaluation under Non-constant Class Imbalance.- A Correction Method of a Base Classifier Applied to Imbalanced Data Classification.- Standard Decision Boundary in a support-domain of fuzzy classifier prediction for the task of imbalanced data classification.- Employing One-class SVM Classifier Ensemble for Imbalanced Data Stream Classification.- Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification.- Performance Analysis of Binarization Strategies for Multi-Class Imbalanced Data Classification.- Towards Network Anomaly Detection Using Graph Embedding.- Maintenance and Security System for PLC Railway LED Sign Communication Infrastructure.- Behavioral Biometric User Authentication from URL Logs.- On the impact of network data balancing in cybersecurity applications.- Pattern recognition model to aid the optimization of Dynamic Spectrally-Spatially Flexible Optical Networks.- Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network.- Complex Social Systems through the Lens of Computational Science.- Cooperation for public goods under uncertainty.- An Information-Theoretic and Dissipative Systems Approach to the Study of Knowledge Diffusion and Emerging Complexity in Innovation Systems.- Mapping the port influence diffusion patterns: a case study of Rotterdam, Antwerp and Singapore.- Entropy-based Measure for Influence Maximization in Temporal Networks.- Evaluation of the Costs of Delayed Campaigns for Limiting the Spread of Negative Content, Panic and Rumours in Complex Networks.- From generality to specificity: on matter of scale in social media topic Communities.- Computational Health.- Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes.- Early signs of critical slowing down in heart surface electrograms of ventricular fibrillation victims.- A Comparison of Generalized Stochastic Milevsky-Promislov Mortality Models with continuous non-Gaussian Filters.- Ontology-Based Inference for Supporting Clinical Decisions in Mental Health.- Towards Prediction of Heart Arrhythmia Onset Using Machine Learning.- Stroke ICU Patient Mortality Day Prediction.- Universal measure for medical image quality evaluation based on gradient approach.- Constructing Holistic Patient Flow Simulation Using System Approach.- Investigating Coordination of Hospital Departments in Delivering Healthcare for Acute Coronary Syndrome Patients using Data-Driven Network Analysis.- A Machine Learning Approach To Short-term Body Weight Prediction In A Dietary Intervention Program.- An analysis of demographic data in Irish healthcare domain to support semantic uplift.- From Population to Subject-Specific Reference Intervals.- Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence.- The Atrial Fibrillation Risk Score for Hyperthyroidism Patients.- Applicability of Machine Learning Methods to Multi-Label Medical Text Classification.- Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People.- Gait Abnormality Detection in People with Cerebral Palsy using an Uncertainty-based State-space Model.- Analyses of public health databases via clinical pathway modelling: TBWEB.- Preliminary results on Pulmonary Tuberculosis detection in Chest X-Ray us
Описание: Knowledge Engineering and Semantic Web.- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement.- Predicting research collaboration trends based on the similarity of publications and relationship of scientists.- Assessing the in uence of con ict pro le properties on the quality of consensus.- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation.- Natural Language Processing.- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding.- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization.- Comparative Analysis of Deep Learning Models for Myanmar Text Classification.- Open Information Extraction as Additional Source for Kazakh Ontology Generation.- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes.- Dyslexic Frequency Signatures in Relaxation and Letter Writing.- Decision Support and Control Systems.- A trading framework based on fuzzy Moore machines.- Fuzzy cation of repeatable trust game.- Online Auction and Optimal Stopping Game with Imperfect Observation.- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data.- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study.- On stabilizability of discrete time systems with delay in control.- A Simple yet E cient MCSes Enumeration with SAT Oracles.- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System.- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance.- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem.- Graph-based Optimization of Public Lighting Retro.- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing.- Computer Vision Techniques.- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches.- 3D Model-Based 6D Object Pose Tracking on RGB Images.- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks.- GOHAG: GANs Orchestration for Human Actions Generation.- Machine Learning and Data Mining.- Improved Finger-vein Classification Using Granular Support Vector Machine.- Mining Non-redundant Periodic Frequent Patterns.- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream.- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.- Confidence in prediction: an approach for dynamic weighted ensemble.- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization.- Inference Ability Assessment of Modi ed Differential Neural Computer.- Simple Quantum Circuits for Data Classifification.- A DCA based algorithm for Feature Selection in Model-Based Clustering.- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks.- Deep Learning Models.- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification.- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification.- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition.- Post-training quantization methods for deep learning models.- Semi-supervised representation learning for 3D Point Clouds.- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference.- Comparison of aggregation functions for 3D Point Clouds classification.- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures.- Advanced Data Mining Techniques and Applications.- Automatic Parameter Setting in Hough Circle Transform.- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor
Описание: The papers are grouped in topical sections on world wide web, recommendation, query processing and algorithm, natural language processing, machine learning, graph query, edge computing and data mining, data privacy and security, and blockchain.
Описание: This book constitutes the refereed proceedings of the 18th International Conference on Software Engineering and Formal Methods, SEFM 2020, held in Amsterdam, The Netherlands, in September 2020. The 16 full papers presented together with 1 keynote talk and an abstract of a keynote talk were carefully reviewed and selected from 58 submissions.
Описание: This volume constitutes the refereed proceedings of the 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2020, held in Phuket, Thailand, in March 2020. industry applications of intelligent methods and systems; recommendation and user centric applications of intelligent systems.
Описание: This book presents the proceedings of the 2020 International Conference on Intelligent Systems Applications in Multi-modal Information Analytics, held in Changzhou, China, on June 18-19, 2020.
Evolutionary Computation, Metaheuristics, Constrains and Search, Combinatorial and Numerical Optimization.- Neural Networks, Deep Learning and Computer Vision.- Text Mining and Natural Language Processing.
Описание: This book constitutes the proceedings of the 19th International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2020, held in Bialystok, Poland, in October 2020.
Data Driven Computational Sciences.- A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.- Early adaptive evaluation scheme for data-driven calibration in forest fire spread prediction.- Strategic Use of Data Assimilation for Dynamic Data-driven Simulation.- PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation.- Cyber Attribution from Topological Patterns.- Applications of Data Assimilation Methods on a Coupled Dual Porosity Stokes Model.- Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms.- Normal Grouping Density Separation (NGDS): a novel object-driven indoor point cloud partition method.- Machine Learning and Data Assimilation for Dynamical Systems.- Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach.- Learning ergodic averages in chaotic systems.- Supermodeling: the next level of abstraction in the use of data assimilation.- A new multilayer network construction via Tensor learning.- Neural Assimilation.- A Machine Learning Method for Computing Rare Event Probabilities.- Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network.- Accelerated Gaussian Convolution in a Data Assimilation scenario.- Complementary Role of Data Assimilation and Machine Learning for a Truly Optimal Estimation System: An Example Derived from Air Quality Analysis.- Recursive Updates of Wildfire Perimeters using Barrier Points and Ensemble Kalman Filtering.- Meshfree Methods in Computational Sciences.- Finding Points of Importance for Radial Basis Function Approximation of Large Scattered Data.- High accuracy terrain reconstruction from point clouds using implicit deformable model.- Solving non-linear elasticity problems by a WLS high order continuation.- Advanced Radial Basis Functions mesh morphing for high fidelity Fluid-Structure Interaction with known movement of the walls: simulation of an aortic valve.- Radial Basis Functions Mesh Morphing - A comparison between the bi-harmonic spline and the Wendland C2 radial function.- Radial Basis Function Approximation Optimal Shape Parameters Estimation: Preliminary Experimental Results.- Multiscale Modelling and Simulation.- Projective Integration for Moment Models of the BGK Equation.- Open Boundary Modeling in Molecular Dynamics with Machine Learning.- Microtubule Biomechanics and the Effect of Degradation of Elastic Moduli.- Formation of morphogenetic patterns in cellular automata.- Multilevel Monte Carlo with improved correlation for kinetic equations in the diffusive scaling.- Development and application of the Statistically Similar Representative Volume Element for numerical modelling of multiphase materials.- A heterogeneous multi-scale model for blood flow.- Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources.- Easing multiscale model design and coupling with MUSCLE 3.- Quantum Computing Workshop.- Simulations of Quantum Finite Automata.- LibKet: A cross-platform programming framework for quantumaccelerated scientific computing.- Generalized Quantum Deutsch-Jozsa Algorithm.- Revisiting old combinatorial beasts in the quantum age: quantum annealing versus maximal matching.- A Quantum Annealing Algorithm for Finding Pure Nash Equilibria in Graphical Games.- Hybrid quantum annealing heuristic method for solving Job Shop Scheduling Problem.- Foundations for Workflow Application Scheduling on D-Wave System.- A Hybrid Solution Method for the Multi-Service Location Set Covering Problem.- New hybrid quantum annealing algorithms for solving Vehicle Routing Problem.- Multi-agent reinforcement learning using simulated quantum annealing.- Quantum Hopfield neural networks: A new approach and its storage Capacity.- A Variational algorithm for Quantum Neural Networks
Track of Computational Optimization, Modelling and Simulation.- Information Theory-based Feature Selection: Minimum Distribution Similarity with Removed Redundancy.- On the potential of the nature-inspired algorithms for pure binary Classification.- Symbolic Music Text Fingerprinting: Automatic Identification of Musical Scores.- Reduced-Cost Constrained Modeling of Microwave and Antenna Components: Recent Advances.- Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging.- Model-Based Sensitivity Analysis of Nondestructive Testing Systems using Machine Learning Algorithms.- Application of Underdetermined Differential Algebraic Equations to Solving One Problem from Heat Mass Transfer.- Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks.- Deep Learning Assisted Memetic Algorithm for Shortest Route Problems.- A relaxation algorithm for optimal control problems governed by two-dimensional conservation laws.- Genetic learning particle swarm optimization with interlaced ring topology.- Low Reynolds Number Swimming with Slip Boundary Conditions.- Trilateration-based Multilevel Method for Minimizing the Lennard-Jones Potential.- A Stochastic Birth-Death Model of Information Propagation Within Human Networks.- A Random Line-Search Optimization Method Via Modified Cholesky Decomposition for Non-Linear Data Assimilation.- A Current Task-Based Programming Paradigms Analysis.- Radial Basis Functions Based Algorithms for non-Gaussian Delay Propagation in Very Large Circuits.- Ant Colony Optimization implementation for reversible synthesis in Walsh-Hadamard domain.- COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking.- Convex Polygon Packing Based Meshing Algorithm for Modeling of Rock and Porous Media.- Track of Computational Science in IoT and Smart Systems.- Modelling contextual data for smart environments. Case study of a system to support mountain rescuers.- Fuzzy Intelligence in Monitoring Older Adults with Wearables.- Deep Analytics for Management and Cybersecurity of the National Energy Grid.- Regression methods for detecting anomalies in flue gas desulphurization installations in coal-fired power plants based on sensor data.- Autonomous Guided Vehicles for Smart Industries the state of the art and research challenges.- IoT-based cow health monitoring system.- Visual Self-Healing Modelling for Reliable Internet-of-Things Systems.- Comparative Analysis of Time Series Databases in the Context of Edge Computing for Low Power Sensor Networks.- Conversational Interface for Managing Non-Trivial Internet-of-Things Systems.- Improving Coverage Area in Sensor Deployment using Genetic Algorithm.- Object-Oriented Internet Reactive Interoperability.- Impact of long-range dependent traffic in IoT local wireless networks on backhaul link performance.- Track of Computer Graphics, Image Processing and Artificial Intelligence.- OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems.- Weighted Clustering for Bees Detection on Video Images.- Improved Two-Step Binarization of Degraded Document Images Based on Gaussian Mixture Model.- Cast Shadow Generation using Generative Adversarial Networks.- Medical Image Enhancement using Super Resolution Methods.- Plane Space Representation in Context of Mode-based Symmetry Plane Detection.- Impression Curve as a New Tool in the study of Visual Diversity of Computer Game Levels for Individual Phases of the Design Process.- Visual analysis of computer game output video stream for gameplay metrics.- Depth map estimation with consistent normals from stereo images.- Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-Adaptive Firefly Algorithm.- Dual formulation of the TV-Stokes denoising model for multidimensional vectorial images.- Minimizing material consumption of 3D printing with stress-guide
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