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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop

召开年：2019
召开地：Wurzburg(DE)
出版时间：-

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1.Seq2VAR: Multivariate Time Series Representation with Relational Neural Networks and Linear Autoregressive Model

机译：Seq2VAR：具有关系神经网络和线性自回归模型的多元时间序列表示
- 作者：Edouard Pineau;Sebastien Razakarivony;Thomas Bonald
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Multivariate time series;
- Vector linear autoregression;
- Relational neural networks;
- Granger causality;
2.Modelling Patient Sequences for Rare Disease Detection with Semi-supervised Generative Adversarial Nets

机译：使用半监督的生成对抗网络为罕见病检测建模患者序列
- 作者：Kezi Yu;Yunlong Wang;Yong Cai
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Rare Disease Detection;
- Sequence data modeling;
- Long Short Term Memory;
- Generative Adversarial Networks;
3.Extended Kalman Filter for Large Scale Vessels Trajectory Tracking in Distributed Stream Processing Systems

机译：扩展卡尔曼滤波器，用于分布式流处理系统中的大型船舶轨迹跟踪
- 作者：Katarzyna Juraszek;Nidhi Saini;Marcela Charfuelan;Holmer Hemsen;Volker Markl
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Time-series;
- State-space models;
- Extended Kalman filter;
- Stream processing;
- Spatio-temporal data;
- Remote sensing systems;
4.Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning

机译：使用深度学习的多元时空数据集的无监督异常检测
- 作者：Yildiz Karadayi
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Unsupervised anomaly detection;
- Multivariate;
- Spatio-temporal data;
- Deep learning;
5.Learning Stochastic Dynamical Systems via Bridge Sampling

机译：通过桥梁采样学习随机动力系统
- 作者：Harish S. Bhat;Shagun Rawat
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Stochastic differential equations;
- Nonparametric estimation;
- Diffusion bridges;
- Expectation maximization;
6.Quantifying Quality of Actions Using Wearable Sensor

机译：使用可穿戴式传感器量化动作质量
- 作者：Mohammad Al-Naser;Takehiro Niikura;Sheraz Ahmed;Hiroki Ohashi;Takuto Sato;Mitsuhiro Okada;Katsuyuki Nakamura;Andreas Dengel
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Autoencoder;
- OneClass SVM;
- Actions evaluation;
- Wearable sensor;
7.An Initial Study on Adapting DTW at Individual Query for Electrocardiogram Analysis

机译：对个人查询进行心电图分析时适应DTW的初步研究
- 作者：Daniel Shen;Min Chi
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- DTW;
- Time series analytics;
- Algorithm optimizations;
- Electrocardiogram;
8.Preface

机译：前言
- 作者：Vincent Lemaire;Simon Malinowski;Anthony Bagnall;Alexis Bondu;Thomas Guyet;Romain Tavenard
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
9.Robust Functional Regression for Outlier Detection

机译：异常检测的鲁棒功能回归
- 作者：Harjit Hullait;David S. Leslie;Nicos G. Pavlidis;Steve King
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Robust functional data analysis;
- Robust model selection;
- Outlier detection;
10.Transform Learning Based Function Approximation for Regression and Forecasting

机译：基于变换学习的回归和预测函数逼近
- 作者：Kriti Kumar;Angshul Majumdar;M. Girish Chandra;A. Anil Kumar
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Transform learning;
- Dictionary learning;
- Kernel methods;
- Regression;
11.Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data

机译：基于四元数时间序列和从关系数据中自动选择变量的主动光纤断裂检测
- 作者：Vincent Lemaire;Fabien Boitier;Jelena Pesic;Alexis Bondu;Stephane Ragot;Fabrice Clerot
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
12.A Fully Automated Periodicity Detection in Time Series

机译：时间序列的全自动周期检测
- 作者：Tom Puech;Matthieu Boussard;Anthony DAmato;Gaetan MiJlerand
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
13.Conditional Forecasting of Water Level Time Series with RNNs

机译：基于RNN的水位时间序列的条件预测
- 作者：Bart J. van der Lugt;Ad J. Feelders
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Time series;
- Conditional forecasting;
- Encoder/Decoder;
- Exogenous variables;
- Recurrent Neural Network;
14.Challenges and Limitations in Clustering Blood Donor Hemoglobin Trajectories

机译：献血者血红蛋白轨迹聚类的挑战和局限性
- 作者：Marieke Vinkenoog;Mart Janssen;Matthijs van Leeuwen
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Time series;
- Clustering;
- Blood donation;
15.Localized Random Shapelets

机译：局部随机形状
- 作者：Mael Guilleme;Simon Malinowski;Romain Tavenard;Xavier Renard
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Time series;
- Machine learning;
- Shapelets;
16.Feature-Based Gait Pattern Classification for a Robotic Walking Frame

机译：机器人行走框架的基于特征的步态模式分类
- 作者：Christopher M. A. Bonenberger;Benjamin Kathan;Wolfgang Ertel
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Multivariate time-series;
- Feature extraction;
- DWT;
- FFT;
- Shared control;
- Elderly care;
17.How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods

机译：如何在文本数据流中检测新颖性？现有方法的比较研究
- 作者：Clement Christophe;Julien Velcin;Jairo Cugliari;Philippe Suignard;Manel Boumghar
- 会议名称：《European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases;Advanced Analytics and Learning on Temporal Data Workshop》 | 2019年
- Novelty Detection;
- Text mining;
- Evaluation framework;
- Natural Language Processing;