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| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
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| Número Internacional Estándar del Libro |
9783031236181 |
| 024 7# - IDENTIFICADOR DE OTROS ESTÁNDARES |
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| Número estándar o código |
10.1007/978-3-031-23618-1 |
| Fuente del número o código |
doi |
| 040 ## - FUENTE DE LA CATALOGACIÓN |
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| Centro catalogador/agencia de origen |
ES-MaUEC |
| Lengua de catalogación |
spa |
| Centro/agencia transcriptor |
ES-MaUEC |
| Centro/agencia modificador |
ES-MaUEC |
| 050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
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| Número de clasificación |
Q325.5 |
| Número de documento/Ítem |
2023 EB |
| 245 00 - MENCIÓN DE TÍTULO |
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| Título |
Machine Learning and Principles and Practice of Knowledge Discovery in Databases : |
| Resto del título |
International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I |
| Mención de responsabilidad, etc. |
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 |
| 250 ## - MENCIÓN DE EDICIÓN |
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| Mención de edición |
1st ed 2023 |
| 264 #1 - PRODUCCIÓN, PUBLICACIÓN, DISTRIBUCIÓN, FABRICACIÓN Y COPYRIGHT |
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| Producción, publicación, distribución, fabricación y copyright |
Cham |
| Nombre del de productor, editor, distribuidor, fabricante |
Springer Nature Switzerland |
| Fecha de producción, publicación, distribución, fabricación o copyright |
2023 |
| 300 ## - DESCRIPCIÓN FÍSICA |
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| Extensión |
1 recurso en línea |
| 336 ## - TIPO DE CONTENIDO |
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| Término de tipo de contenido |
texto |
| Código de tipo de contenido |
txt |
| Fuente |
rdacontent |
| 337 ## - TIPO DE MEDIO |
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| Nombre/término del tipo de medio |
electrónico |
| Código del tipo de medio |
c |
| Fuente |
rdamedia |
| 338 ## - TIPO DE SOPORTE |
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| Nombre/término del tipo de soporte |
recurso electrónico |
| Código del tipo de soporte |
cr |
| Fuente |
rdacarrier |
| 347 ## - CARACTERÍSTICAS DEL ARCHIVO DIGITAL |
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| Tipo de archivo |
text file |
| Formato de codificación |
PDF |
| Fuente |
rda |
| 490 0# - MENCIÓN DE SERIE |
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| Mención de serie |
Communications in Computer and Information Science |
| Número Internacional Normalizado para Publicaciones Seriadas |
1865-0937 |
| Designación de volumen o secuencia |
1752 |
| 505 0# - NOTA DE CONTENIDO CON FORMATO |
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| Nota de contenido con formato |
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. |
| 520 ## - SUMARIO, ETC. |
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| Sumario, etc. |
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). |
| 988 ## - NOTA LOCAL 598 |
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| Nota local 598 (boletines) |
Springer_Computer_2023 |
| 650 #7 - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
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| Fuente del encabezamiento o término |
embne |
| 9 (RLIN) |
166090 |
| Término de materia o nombre geográfico como elemento de entrada |
Aprendizaje automático |
| Subdivisión de forma |
Congresos y asambleas |
| 856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
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| Identificador Uniforme del Recurso |
https://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-23618-1 |
| Nota pública |
Acceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 999 ## - NÚMEROS DE CONTROL DE SISTEMA (KOHA) |
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| -- |
1 |
| 942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) |
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| Fuente del sistema de clasificación o colocación |
Library of Congress Classification |
| Tipo de ítem Koha |
LIBRO-E NO PRÉSTAMO |
| 998 ## - DATOS ESTADÍSTICOS |
|---|
| Fecha de catalogación |
01/2024 |
| Tipo de materia |
E-book |
| Catalogador |
Sara Morillo |
| Catalogado |
Sí |