Ecml Pkdd 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (Ecml Pkdd 2020): Sogood, Koprinska Irena, Kamp Michael, Appice Annalisa
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: bioinformatics.Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: activity recognition; applied data science: spatiotemporal data. Part V: applied data science: social good; applied data science: computational social science;
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
Описание: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019.
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;
Описание: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Wurzburg, Germany, in September 2019.
Автор: Carlos Alzate; Anna Monreale; Haytham Assem; Alber Название: ECML PKDD 2018 Workshops ISBN: 3030134520 ISBN-13(EAN): 9783030134525 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Label Sanitization against Label Flipping Poisoning Attacks.- Limitations of the Lipschitz constant as a Defense Against Adversarial Examples.- Understanding Adversarial Space through the Lens of Attribution.- Detecting Potential Local Adversarial Examples for Human-Interpretable Defense.- Smart Cities with Deep Edges.- Computational Model for Urban Growth Using Socioeconomic Latent Parameters.- Object Geolocation from Crowdsourced Street Level Imagery.- Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations.- SALER: a Data Science Solution to Detect and Prevent Corruption in Public Administration.- MaaSim: A Liveability Simulation for Improving the Quality of Life in Cities.- Designing Data-Driven Solutions to Societal Problems: Challenges and Approaches.- Host based Intrusion Detection System with Combined CNN/RNN Model.- Cyber Attacks against the PC Learning Algorithm.- Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space.- Pseudo-Random Number Generation using Generative Adversarial Networks.- Context Delegation for Context-Based Access Control.- An Information Retrieval System For CBRNe Incidents.- A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support.- Event relevancy pruning in support of energy-efficient sequential pattern mining.- How to Measure Energy Consumption in Machine Learning Algorithms.
Автор: Carlos Alzate; Anna Monreale; Livio Bioglio; Valer Название: ECML PKDD 2018 Workshops ISBN: 3030134628 ISBN-13(EAN): 9783030134624 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Multivariate and Multi-step ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting.- Calibrating the Mean-reversion Parameter in the Hull-White Model Using NeuralNetworks.- Deep Factor Model-Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-wise Relevance Propagation.- A Comparison of Neural Network Methods for Accurate Sentiment Analysis of Stock Market Tweets.- A Progressive Resampling Algorithm for Finding Very Sparse Investment Portfolios.- ICIE 1.0: A Novel Tool for Interactive Contextual Interaction Explanations.- Testing for Self-excitation in Financial Events: A Bayesian Approach.- A Web Crawling Environment to Support Financial Strategies and Trend Correlation.- A differential privacy workflow for inference of parameters in the Rasch model.- Privacy Preserving Client/Vertical-Servers Classification.- Privacy Risk for Individual Basket Patterns.- Exploring Students Eating Habits through Individual Profiling and Clustering Analysis.
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