Machine Learning and Principles and Practice of Knowledge Discovery in Databases

fromthe workshop organisers.- Is Attention Interpretation? A Quantitative Assessment on Sets.- From Disentangled Representation to Concept Ranking: Interpreting Deep Representations in Image Classification tasks.- RangeGrad: Explaining Neural Networks by Measuring Uncertainty through Bound Propagation.- An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.- Local Multi-Label Explanations for Random Forest.- Interpretable and Reliable Rule Classification based on Conformal Prediction.- Measuring the Burden of (Un)fairness Using Counterfactuals.- Are SHAP values biased towards high-entropy features?.- Simple explanations to summarise Subgroup Discovery outcomes: a case study concerning patient phenotyping.- Limits of XAI task performance evaluation: an e-sport prediction example.- Improving the quality of rule-based GNN explanations.- Exposing Racial Dialect Bias in Abusive Language Detection: Can Explainability Play a Role?.- On the Granularity of Explanations in Model Agnostic NLP Interpretability.- Workshop on Uplift Modeling (UMOD 2022).- Preface from the workshop organisers.- Estimating the impact of coupon non-usage.- Shrinkage estimators for uplift regression.- Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022).- Preface from the workshop organisers.- Hierarchical Design Space Exploration for Distributed CNN Inference at the Edge.- Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA.- Framework to Evaluate Deep Learning Algorithms for Edge Inference and Training.- Hardware Execution Time Prediction for Neural Network Layers.- Enhancing Energy-e iciency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs.- Accelerating RNN-based Speech Enhancement on a Multi-Core MCU with Mixed FP16-INT8 Post-Training Quantization.- LDRNet: Enabling Real-time Document Localization on Mobile Devices.