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Machine Learning and Principles and Practice of Knowledge Discovery in Databases : International Workshops of ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I / edited by Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana, Konstantinos Sechidis, Arif Canakoglu, Sara Pido, Pietro Pinoli, Albert Bifet, Sepideh Pashami
(Communications in Computer and Information Science. ISSN:18650937 ; 1752)
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| 一般注記 | Workshop on Data Science for Social Good (SoGood 2022) -- Preface from the workshop organisers -- Gender Stereotyping Impact on Facial Expression Recognition -- A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking -- A Unified Framework for Assessing Energy Efficiency of Machine Learning -- Fault Detection in Wastewater Treatment Plants: Application of Autoencoders Models with Streaming Data -- A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding -- Exploitation and Merge of Information Sources for Public Procurement Improvement -- Geovisualisation tools for reporting and monitoring Transthyretin-associated Familial Amyloid Polyneuropathy disease -- Evaluation of Group Fairness Measures in Student Performance Prediction Problems -- Combining Image Enhancement Techniques and Deep Learning for Shallow Water Benthic Marine Litter Detection -- Ethical and Technological AI Risks Classification: A Human vs Machine Approach -- A Reinforcement Learning Algorithm for Fair Electoral Redistricting in Parliamentary Systems -- Study on Correlation Between Vehicle Emissions and Air Quality in Porto -- Intelligently Detecting Information Online-weaponisation Trends (IDIOT) -- Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) -- Preface from the workshop organisers -- Multi-Modal Terminology Management: Corpora, Data Models and Implementations in TermSTAR -- Cluster algorithm for social choice -- Sentimental Analysis of COVID-19 Vaccine Tweets using BERT+NBSVM -- Rules, subgroups and redescriptions as features in classification tasks -- Bitpaths: compressing datasets without decreasing predictive performance -- Anomaly Detection for Physical Threat Intelligence -- Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2022) -- Preface from the 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-efficiency 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 This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19–23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops: Workshop on Data Science for Social Good (SoGood 2022) Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022) Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022) Workshop on Uplift Modeling (UMOD 2022) Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022) Workshop on Mining Data for Financial Application (MIDAS 2022) Workshop on Machine Learning for Cybersecurity (MLCS 2022) Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022) Workshop on Data Analysis in Life Science (DALS 2022) Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022) HTTP:URL=https://doi.org/10.1007/978-3-031-23618-1 |
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| 件 名 | LCSH:Artificial intelligence LCSH:Image processing -- Digital techniques 全ての件名で検索 LCSH:Computer vision LCSH:Computer engineering LCSH:Computer networks LCSH:Data structures (Computer science) LCSH:Information theory LCSH:Application software LCSH:Education -- Data processing 全ての件名で検索 FREE:Artificial Intelligence FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Engineering and Networks FREE:Data Structures and Information Theory FREE:Computer and Information Systems Applications FREE:Computers and Education |
| 分 類 | LCC:Q334-342 LCC:TA347.A78 DC23:006.3 |
| 書誌ID | EB00004255 |
| ISBN | 9783031236181 |
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