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Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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Cover of 'Machine Learning and Principles and Practice of Knowledge Discovery in Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Gender Stereotyping Impact in Facial Expression Recognition
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    Chapter 2 A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking
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    Chapter 3 A Unified Framework for Assessing Energy Efficiency of Machine Learning
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    Chapter 4 Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data
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    Chapter 5 A Temporal Fusion Transformer for Long-Term Explainable Prediction of Emergency Department Overcrowding
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    Chapter 6 Exploitation and Merge of Information Sources for Public Procurement Improvement
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    Chapter 7 Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease
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    Chapter 8 Evaluation of Group Fairness Measures in Student Performance Prediction Problems
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    Chapter 9 Combining Image Enhancement Techniques and Deep Learning for Shallow Water Benthic Marine Litter Detection
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    Chapter 10 Ethical and Technological AI Risks Classification: A Human Vs Machine Approach
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    Chapter 11 A Reinforcement Learning Algorithm for Fair Electoral Redistricting in Parliamentary Systems
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    Chapter 12 Study on Correlation Between Vehicle Emissions and Air Quality in Porto
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    Chapter 13 Intelligently Detecting Information Online-Weaponisation Trends (IDIOT)
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    Chapter 14 Multi-modal Terminology Management
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    Chapter 15 Cluster Algorithm for Social Choice
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    Chapter 16 Sentimental Analysis of COVID-19 Vaccine Tweets Using BERT+NBSVM
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    Chapter 17 Rules, Subgroups and Redescriptions as Features in Classification Tasks
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    Chapter 18 Bitpaths: Compressing Datasets Without Decreasing Predictive Performance
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    Chapter 19 3D Detection of ALMA Sources Through Deep Learning
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    Chapter 20 Anomaly Detection for Physical Threat Intelligence
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    Chapter 21 Is Attention Interpretation? A Quantitative Assessment on Sets
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    Chapter 22 From Disentangled Representation to Concept Ranking: Interpreting Deep Representations in Image Classification Tasks
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    Chapter 23 RangeGrad: Explaining Neural Networks by Measuring Uncertainty Through Bound Propagation
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    Chapter 24 An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
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    Chapter 25 Local Multi-label Explanations for Random Forest
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    Chapter 26 Interpretable and Reliable Rule Classification Based on Conformal Prediction
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    Chapter 27 Measuring the Burden of (Un)fairness Using Counterfactuals
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    Chapter 28 Are SHAP Values Biased Towards High-Entropy Features?
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    Chapter 29 Simple Explanations to Summarise Subgroup Discovery Outcomes: A Case Study Concerning Patient Phenotyping
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    Chapter 30 Limits of XAI Application-Grounded Evaluation: An E-Sport Prediction Example
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    Chapter 31 Improving the Quality of Rule-Based GNN Explanations
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    Chapter 32 Exposing Racial Dialect Bias in Abusive Language Detection: Can Explainability Play a Role?
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    Chapter 33 On the Granularity of Explanations in Model Agnostic NLP Interpretability
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    Chapter 34 Estimating the Impact of Coupon Non-usage
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    Chapter 35 Shrinkage Estimators for Uplift Regression
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    Chapter 36 Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge
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    Chapter 37 Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA
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    Chapter 38 Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training
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    Chapter 39 Hardware Execution Time Prediction for Neural Network Layers
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    Chapter 40 Enhancing Energy-Efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs
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    Chapter 41 Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization
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    Chapter 42 LDRNet: Enabling Real-Time Document Localization on Mobile Devices
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Title
Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Published by
Springer Nature Switzerland, January 2023
DOI 10.1007/978-3-031-23618-1
ISBNs
978-3-03-123617-4, 978-3-03-123618-1
Editors

Koprinska, Irena, Mignone, Paolo, Guidotti, Riccardo, Jaroszewicz, Szymon, Fröning, Holger, Gullo, Francesco, Ferreira, Pedro M., Roqueiro, Damian, Ceddia, Gaia, Nowaczyk, Slawomir, Gama, João, Ribeiro, Rita, Gavaldà, Ricard, Masciari, Elio, Ras, Zbigniew, Ritacco, Ettore, Naretto, Francesca, Theissler, Andreas, Biecek, Przemyslaw, Verbeke, Wouter, Schiele, Gregor, Pernkopf, Franz, Blott, Michaela, Bordino, Ilaria, Danesi, Ivan Luciano, Ponti, Giovanni, Severini, Lorenzo, Appice, Annalisa, Andresini, Giuseppina, Medeiros, Ibéria, Graça, Guilherme, Cooper, Lee, Ghazaleh, Naghmeh, Richiardi, Jonas, Saldana, Diego, Sechidis, Konstantinos, Canakoglu, Arif, Pido, Sara, Pinoli, Pietro, Bifet, Albert, Pashami, Sepideh

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