The proceedings contain 36 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: Effective Transparent Monitoring of Personal Data;iCNN-LSTM: An Incremental C...
ISBN:
(纸本)9789819614820
The proceedings contain 36 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: Effective Transparent Monitoring of Personal Data;iCNN-LSTM: An Incremental CNN-LSTM Based Ransomware Detection System;a Mini Review on Purchaser Security in the Metaverse: Challenges and Solutions;low-Resource Dataset Synthetic Generation for Hate Speech Detection;web Open Data to SDG Indicators: Towards an LLM-Augmented Knowledge Graph Solution;leveraging Sentence-Transformers to Overcome Query-Document Vocabulary Mismatch in information Retrieval;time Distance Aware for Multi-component Graph Collaborative Filtering;scientific Documents Recommendation Based on Graph Convolutional Network;semantic Communication of Images Using Image Generation and Image Captioning Models;leveraging Optimization Techniques for Effective Arabic Query Expansion;DURLLCON: Deep Reinforcement Learning for URLLC Optimization in Multi-edge Networks;FMM-RNS: A Fast HMM Map Matching Method Based on Road Network Simplification;Context-Aware Selection of Machine Learning as a Service (MLaaS) in IoT Environments;GraphTFD: A Fraud Detection System Based on Graph Transformer;MLGE-AC-UFD: Multi-level Graph Embedding and Approximate Computation for Unsupervised Fraud Detection;SeCORE: Quantitative Security Assurance and Evaluation Platform;developing Geospatial web Applications Using Question Answering Engines, Knowledge Graphs and Linked Data Tools;A Visual Query Builder for DBpedia;FL-PPELA: Partial Parameter Enhancement and Local Adaptive Aggregation for Personalized Federated Learning;ORCPM: An Online Regional Core Pattern Mining System;MTRM: A web-Miner Multi-Threshold Mining Co-location Patterns to Mitigate Redundancy;constrained Path Optimization on Time-Dependent Road Networks;prompt Strategies for Sarcastic Meme Detection: A Comparative Analysis;Deepfake Detection in Cancer Medical Imaging Using CNN Architectures;strengthening Cybersecurity: The Influence o
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Respons...
ISBN:
(纸本)9789819605699
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention;intent Identification Using Few-Shot and Active Learning with User Feedback;CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels;equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for information Diffusion Prediction;CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment;selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective;on Adversarial Training with Incorrect Labels;model Lake : A New Alternative for Machine Learning Models Management and Governance;a Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities;Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs;Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery;Combining Uncensored and Censored LLMs for Ransomware Generation;Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents;iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models;"Is this Site Legit?": LLMs for Scam website Detection;Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models;BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking;Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation;ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources;web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images;satellite-Driven Deep Learning Algorithm for Bathymetry Extraction;Would You Trust an AI Doc
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Respons...
ISBN:
(纸本)9789819605781
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention;intent Identification Using Few-Shot and Active Learning with User Feedback;CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels;equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for information Diffusion Prediction;CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment;selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective;on Adversarial Training with Incorrect Labels;model Lake : A New Alternative for Machine Learning Models Management and Governance;a Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities;Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs;Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery;Combining Uncensored and Censored LLMs for Ransomware Generation;Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents;iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models;"Is this Site Legit?": LLMs for Scam website Detection;Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models;BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking;Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation;ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources;web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images;satellite-Driven Deep Learning Algorithm for Bathymetry Extraction;Would You Trust an AI Doc
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Respons...
ISBN:
(纸本)9789819605750
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention;intent Identification Using Few-Shot and Active Learning with User Feedback;CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels;equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for information Diffusion Prediction;CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment;selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective;on Adversarial Training with Incorrect Labels;model Lake : A New Alternative for Machine Learning Models Management and Governance;a Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities;Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs;Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery;Combining Uncensored and Censored LLMs for Ransomware Generation;Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents;iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models;"Is this Site Legit?": LLMs for Scam website Detection;Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models;BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking;Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation;ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources;web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images;satellite-Driven Deep Learning Algorithm for Bathymetry Extraction;Would You Trust an AI Doc
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Respons...
ISBN:
(纸本)9789819605729
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention;intent Identification Using Few-Shot and Active Learning with User Feedback;CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels;equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for information Diffusion Prediction;CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment;selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective;on Adversarial Training with Incorrect Labels;model Lake : A New Alternative for Machine Learning Models Management and Governance;a Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities;Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs;Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery;Combining Uncensored and Censored LLMs for Ransomware Generation;Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents;iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models;"Is this Site Legit?": LLMs for Scam website Detection;Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models;BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking;Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation;ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources;web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images;satellite-Driven Deep Learning Algorithm for Bathymetry Extraction;Would You Trust an AI Doc
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Respons...
ISBN:
(纸本)9789819605668
The proceedings contain 132 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: TAKE: Tracing Associative Empathy Keywords for Generating Empathetic Responses Based on Graph Attention;intent Identification Using Few-Shot and Active Learning with User Feedback;CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels;equivariant Diffusion-Based Sequential Hypergraph Neural Networks with Co-attention Fusion for information Diffusion Prediction;CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment;selectivity Estimation for Spatial Filters Using Optimizer Feedback: A Machine Learning Perspective;on Adversarial Training with Incorrect Labels;model Lake : A New Alternative for Machine Learning Models Management and Governance;a Benchmark Test Suite for Multiple Traveling Salesmen Problem with Pivot Cities;Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs;Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery;Combining Uncensored and Censored LLMs for Ransomware Generation;Therapying Outside the Box: Innovating the Implementation and Evaulation of CBT in Therapeutic Artificial Agents;iText2KG: Incremental Knowledge Graphs Construction Using Large Language Models;"Is this Site Legit?": LLMs for Scam website Detection;Towards Enhancing Linked Data Retrieval in Conversational UIs Using Large Language Models;BioLinkerAI: Capturing Knowledge Using LLMs to Enhance Biomedical Entity Linking;Enhancing LLMs Contextual Knowledge with Ontologies for Personalised Food Recommendation;ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources;web-Based AI Assistant for Medical Imaging: A Case Study on Predicting Spontaneous Preterm Birth via Ultrasound Images;satellite-Driven Deep Learning Algorithm for Bathymetry Extraction;Would You Trust an AI Doc
The proceedings contain 72 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: Highly Applicable Linear Event Detection Algorithm on Social Media with ...
ISBN:
(纸本)9789819972531
The proceedings contain 72 papers. The special focus in this conference is on webinformationsystemsengineering. The topics include: Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream;leveraging Social Networks for Mergers and Acquisitions Forecasting;enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning;bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks;ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism;blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicular Edge Computing;priv-S: Privacy-Sensitive Data Identification in Online Social Networks;TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization;a Dual-Layer Privacy-Preserving Federated Learning Framework;fuzzy Based Text Quality Assessment for Sentiment Analysis;a Privacy-Preserving Evolutionary Computation Framework for Feature Selection;local Difference-Based Federated Learning Against Preference Profiling Attacks;empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction;ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection;web Page Segmentation: A DOM-Structural Cohesion Analysis Approach;learning to Select the Relevant History Turns in Conversational Question Answering;a Methodological Approach for Data-Intensive web Application Design on Top of Data Lakes;ESPRESSO: A Framework for Empowering Search on Decentralized web;primary Building Blocks for web Automation;prompt-Learning for Semi-supervised Text Classification;a web Service Oriented Integration Solution for Capital Facilities information Handover;deep Neural Network-Based Approach for IoT Service QoS Prediction;Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction;efficient Graph Embedding Method for Link
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