Advances in Intelligent Data Analysis XXI

Table of Contents

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   Book Overview
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   Chapter 1 Contextual Word Embeddings Clustering Through Multiway Analysis: A Comparative Study
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   Chapter 2 Transferable Deep Metric Learning for Clustering
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   Chapter 3 Spatial Graph Convolution Neural Networks for Water Distribution Systems
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   Chapter 4 Data-Centric Perspective on Explainability Versus Performance Trade-Off
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   Chapter 5 Towards Data Science Design Patterns
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   Chapter 6 Diverse Paraphrasing with Insertion Models for Few-Shot Intent Detection
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   Chapter 7 LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models
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   Chapter 8 GASTeN: Generative Adversarial Stress Test Networks
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    Chapter 9 Learning Permutation-Invariant Embeddings for Description Logic Concepts
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    Chapter 10 Diffusion Transport Alignment
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    Chapter 11 Mind the Gap: Measuring Generalization Performance Across Multiple Objectives
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    Chapter 12 Effects of Locality and Rule Language on Explanations for Knowledge Graph Embeddings
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    Chapter 13 Shapley Values with Uncertain Value Functions
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    Chapter 14 Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors
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    Chapter 15 On the Change of Decision Boundary and Loss in Learning with Concept Drift
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    Chapter 16 AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning
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    Chapter 17 Explanations for Itemset Mining by Constraint Programming: A Case Study Using ChEMBL Data
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    Chapter 18 Translated Texts Under the Lens: From Machine Translation Detection to Source Language Identification
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    Chapter 19 Geolet: An Interpretable Model for Trajectory Classification
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    Chapter 20 An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT
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    Chapter 21 Discovering Diverse Top-K Characteristic Lists
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    Chapter 22 Online Influence Forest for Streaming Anomaly Detection
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    Chapter 23 APs: A Proxemic Framework for Social Media Interactions Modeling and Analysis
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    Chapter 24 User Authentication via Multifaceted Mouse Movements and Outlier Exposure
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    Chapter 25 Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies
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    Chapter 26 A GNN-Based Architecture for Group Detection from Spatio-Temporal Trajectory Data
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    Chapter 27 Discovering Rule Lists with Preferred Variables
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    Chapter 28 Don’t Start Your Data Labeling from Scratch: OpSaLa - Optimized Data Sampling Before Labeling
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    Chapter 29 The Other Side of Compression: Measuring Bias in Pruned Transformers
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    Chapter 30 Dropping Incomplete Records is (not so) Straightforward
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    Chapter 31 Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets
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    Chapter 32 Should We Consider On-Demand Analysis in Scale-Free Networks?
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    Chapter 33 ROCKAD: Transferring ROCKET to Whole Time Series Anomaly Detection
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    Chapter 34 Out-of-Distribution Generalisation with Symmetry-Based Disentangled Representations
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    Chapter 35 Forecasting Electricity Prices: An Optimize Then Predict-Based Approach
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    Chapter 36 A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data
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    Chapter 37 QBERT: Generalist Model for Processing Questions
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    Chapter 38 On Compositionality in Data Embedding