Table of Contents: “... for Information Retrieval -- Uncertainty Quantification for Text Classification -- Workshops -- Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) -- The 6th International Workshop on Narrative Extraction from Texts (Text2Story...”

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Table of Contents: “... of Time: Detecting Depression with Time-Enriched Multimodal Transformers -- Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph -- Query Performance Prediction for Neural IR: Are We There Yet? -- Item Graph Convolutional...”

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Table of Contents: “... Performance using Textual Descriptions and Event Logs -- Agent Miner: An Algorithm for Discovering Agent Systems from Event Data -- Interactive Multi-Interest Process Pattern Discovery -- Research Track III: Management -- Increasing RPA adoption: An experiment...”

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Table of Contents: “... Process Component Mining with the Apriori Algorithm -- Learnable Filter Components For Social Recommendation -- Efficient Machine Learning-Based Prediction of CYP450 Inhibition -- A Machine-Learning Framework for Supporting Content Recommendation via User...”

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Table of Contents: “... Heuristics-Based Algorithms -- A Dual-Stage Noise Training Scheme for Breast Ultrasound Image Classification -- A General-Purpose Multi-Stage Multi-Group Machine Learning Framework for Knowledge Discovery and Decision Support -- Comparative Assessment of Deep end...”

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Table of Contents: “... -- A study on Vulnerability Code Labeling Method in Open-Source C Programs -- Adding result diversification to kNN-based joins in a Map-Reduce framework -- Effective and Efficient Heuristic Algorithms for Supporting Optimal Location of Hubs over Networks...”

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Table of Contents: “... Evaluation System for Momentum Overweight Trading Strategy -- Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms -- Leveraging Natural Language Processing in Persuasive Marketing -- Direction...”

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Subject (ZB): “...Algorithms....”

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Table of Contents: “...-motorized Travel Data and Street Comfort -- A Composite Grid Clustering Algorithm based on Density and Balance Degree -- Visualization Analysis -- Research on the Visualization Method of Weibo User Sentiment Analysis based on IP Affiliation and Comment Content...”

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Table of Contents: “... Clustering Algorithm....”

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Table of Contents: “... -- Decompilation Based Deep Binary-Source Function Matching -- Event-based Threat Intelligence Ontology Model -- Session 5 Web and Privacy Security -- Optimally Blending Honeypots into Production Networks: Hardness and Algorithms -- WebMea: A Google Chrome Extension...”

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Table of Contents: “... in Open Government Data Through Digital Traces -- "Trapped" by Recommendation Algorithms? A Mixed Methods Study on the Use of Content Recommendation System in Everyday Life in Western China -- Community Design of a Knowledge Graph to Support Interdisciplinary...”

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Table of Contents: “... -- Computational Genomics and Biomarker Discovery -- Intelligent Computing in Drug Design -- Theoretical Computational Intelligence and Applications -- Fuzzy Theory and Algorithms -- Machine Learning and Data Mining -- Intelligent Computing in Computer Vision...”

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Table of Contents: “... -- (Semi-) Automatic construction of knowledge graph Metadata -- Towards a Similarity Algorithm for Controlled Vocabularies within the Digital Humanities -- Causal Domain Adaptation for Information Extraction from Complex Conversations -- Knowledge Graph...”

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Table of Contents: “... -- Good governance and national information transparency: A comparative study of117 countries -- Involve humans in algorithmic fairness issue: A systematic review -- Tensions between intellectual property law and freedom of expression: a UK perspective...”

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Table of Contents: “...A Novel Semi-supervised Clustering Algorithm: CoExDBSCAN -- Amharic Semantic Information Retrieval System -- Semantic Similarity Analysis for Entity Set Expansion -- Eliciting Semantic Types of Legal Norms in Korean Legislation with Deep Learning...”

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