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ICCS 2025 Main Track Full Papers.- CommPlex: Community in Multiplexes - Definition and a Suite of Algorithms for Analysis.- i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression.- Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach.- WebAA: Website Association Analysis via Multi-Resource Similarity Computation.- Exploring the Effect of Spatial Scales in Studying Urban Mobility Pattern.- NotiCorr: Exposing Social Relationships via Notification Traffic of Instant Messaging Applications.- PAWUK: Extensive Annotated Web Corpus of Ukrainian.- Assessing Physics Parameterizations using Evolutionary Computation.- Domain solutions obtained by the FPIES for potential 2D BVPs.- Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering.- A GPU-Accelerated Interior Point Method with Applications in Radiation Therapy Optimization.- An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection.- Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab.- Dynamic Neural Network with Matrix-extended Residual Connections.- Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network.- Multiple-Meta-Instance Selection. Combining the Properties of Many Instance-Selection Methods.- Using B-spline Function Properties in the PIES Method to Handle Singularities in Boundary Value Problems.- cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores.- Encrypted Malicious Traffic Detection Using Multi-Instance Learning.- Dimensionality Reduction in Product of Metric Spaces.- To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data.- Simple Error Estimation for PIES in 2D Elasticity Problems.

Computational Science ICCS 2025

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    A Paperback by Michael H. Lees

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      View other formats and editions of Computational Science ICCS 2025 by Michael H. Lees

      Publisher: Springer
      Publication Date: 01/08/2025
      ISBN13: 9783031976285, 978-3031976285
      ISBN10:

      Description

      Book Synopsis

      ICCS 2025 Main Track Full Papers.- CommPlex: Community in Multiplexes - Definition and a Suite of Algorithms for Analysis.- i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression.- Uncovering and Verifying Optimal Community Structure in Complex Networks: A MaxSAT Approach.- WebAA: Website Association Analysis via Multi-Resource Similarity Computation.- Exploring the Effect of Spatial Scales in Studying Urban Mobility Pattern.- NotiCorr: Exposing Social Relationships via Notification Traffic of Instant Messaging Applications.- PAWUK: Extensive Annotated Web Corpus of Ukrainian.- Assessing Physics Parameterizations using Evolutionary Computation.- Domain solutions obtained by the FPIES for potential 2D BVPs.- Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering.- A GPU-Accelerated Interior Point Method with Applications in Radiation Therapy Optimization.- An Empirical Assessment of LLM-Based Approaches to Malicious Webpage Detection.- Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab.- Dynamic Neural Network with Matrix-extended Residual Connections.- Proof of Training: Obtaining Verifiable ML Models by Delegating Training to a Blockchain Network.- Multiple-Meta-Instance Selection. Combining the Properties of Many Instance-Selection Methods.- Using B-spline Function Properties in the PIES Method to Handle Singularities in Boundary Value Problems.- cuTeBool: Fast and Scalable Boolean matrix factorization on GPUs using Tensor Cores.- Encrypted Malicious Traffic Detection Using Multi-Instance Learning.- Dimensionality Reduction in Product of Metric Spaces.- To Select or Not to Select? The Role of Meta-features Selection in Meta-learning Tasks with Tabular Data.- Simple Error Estimation for PIES in 2D Elasticity Problems.

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