Discovery Science

Table of Contents

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   Book Overview
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   Chapter 1 Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning
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   Chapter 2 Exploring the Intricacies of Neural Network Optimization
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   Chapter 3 Exploring the Reduction of Configuration Spaces of Workflows
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   Chapter 4 iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression
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   Chapter 5 Knowledge-Guided Additive Modeling for Supervised Regression
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   Chapter 6 Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments
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   Chapter 7 From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter
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   Chapter 8 GLORIA : A Graph Convolutional Network-Based Approach for Review Spam Detection
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    Chapter 9 Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT
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    Chapter 10 Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers
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    Chapter 11 Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss
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    Chapter 12 Explainable Spatio-Temporal Graph Modeling
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    Chapter 13 Probabilistic Scoring Lists for Interpretable Machine Learning
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    Chapter 14 Refining Temporal Visualizations Using the Directional Coherence Loss
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    Chapter 15 Semantic Enrichment of Explanations of AI Models for Healthcare
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    Chapter 16 Text to Time Series Representations: Towards Interpretable Predictive Models
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    Chapter 17 Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss
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    Chapter 18 Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy
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    Chapter 19 Extrapolation is Not the Same as Interpolation
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    Chapter 20 Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining
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    Chapter 21 Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features
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    Chapter 22 EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories
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    Chapter 23 Fairness-Aware Mixture of Experts with Interpretability Budgets
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    Chapter 24 GenFair: A Genetic Fairness-Enhancing Data Generation Framework
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    Chapter 25 Privacy-Preserving Learning of Random Forests Without Revealing the Trees
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    Chapter 26 Unlearning Spurious Correlations in Chest X-Ray Classification
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    Chapter 27 Explaining the Chronological Attribution of Greek Papyri Images
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    Chapter 28 Leveraging the Spatiotemporal Analysis of  Meisho-e Landscapes
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    Chapter 29 Predictive Inference Model of the Physical Environment that Emulates Predictive Coding
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    Chapter 30 Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains
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    Chapter 31 Which Way to Go - Finding Frequent Trajectories Through Clustering
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    Chapter 32 Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
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    Chapter 33 Interpretable Data Partitioning Through Tree-Based Clustering Methods
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    Chapter 34 Jaccard-Constrained Dense Subgraph Discovery
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    Chapter 35 RIMBO - An Ontology for Model Revision Databases
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    Chapter 36 Unsupervised Graph Neural Networks for Source Code Similarity Detection
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    Chapter 37 A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios
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    Chapter 38 Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting
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    Chapter 39 Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes
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    Chapter 40 Chance and the Predictive Limit in Basketball (Both College and Professional)
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    Chapter 41 Exploring Label Correlations for Quantification of ICD Codes
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    Chapter 42 LGEM + : A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction
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    Chapter 43 Predicting Age from Human Lung Tissue Through Multi-modal Data Integration
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    Chapter 44 Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals
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    Chapter 45 HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers
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    Chapter 46 Multi-kernel Times Series Outlier Detection
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    Chapter 47 Toward Streamlining the Evaluation of Novelty Detection in Data Streams