UB Paderborn / Katalog / Suche / in CDI

Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

1, 2020

Link zum Volltext

Verfügbarkeit prüfen

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts

Machine learning, 2023-12, Vol.112 (12), p.4663-4692

2023

Link zum Volltext

Verfügbarkeit prüfen

Early classification of time series: Cost-based optimization criterion and algorithms

Machine learning, 2021-06, Vol.110 (6), p.1481-1504

2021

Link zum Volltext

Verfügbarkeit prüfen

Early classification of time series

Machine learning, 2021-06, Vol.110 (6), p.1481-1504

2021

Link zum Volltext

Verfügbarkeit prüfen

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem

Machine Learning and Knowledge Discovery in Databases, 2015, Vol.9284, p.433-447

2015

Link zum Volltext

Verfügbarkeit prüfen

Interpretable Feature Construction for Time Series Extrinsic Regression

Advances in Knowledge Discovery and Data Mining, p.804-816

Link zum Volltext

Verfügbarkeit prüfen

Advanced analytics and learning on temporal data: 5th ECML PKDD workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, revised selected papers. (Lecture notes in artificial intelligence)

1st ed. 2020., 2020

Link zum Volltext

Verfügbarkeit prüfen

Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data

Advanced Analytics and Learning on Temporal Data, p.26-42

Link zum Volltext

Verfügbarkeit prüfen

Multivariate Time Series Classification: A Relational Way

Big Data Analytics and Knowledge Discovery, p.316-330

Link zum Volltext

Verfügbarkeit prüfen

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization

Advanced Analysis and Learning on Temporal Data, p.3-16

Link zum Volltext

Verfügbarkeit prüfen

Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

Link zum Volltext

Verfügbarkeit prüfen

Massive-Scale Simulation of Electrical Load in Smart Grids Using Generalized Additive Models

Modeling and Stochastic Learning for Forecasting in High Dimensions, p.193-212

Link zum Volltext

Verfügbarkeit prüfen

A non-parametric semi-supervised discretization method

Knowledge and information systems, 2010-07, Vol.24 (1), p.35-57

2010

Link zum Volltext

Verfügbarkeit prüfen

Toward a Framework for Seasonal Time Series Forecasting Using Clustering

Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019, Vol.11871, p.328-340

2019

Link zum Volltext

Verfügbarkeit prüfen

From Weakly Supervised Learning to Biquality Learning: an Introduction

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-10

2021

Link zum Volltext
Volltext

Evaluation Protocol of Early Classifiers over Multiple Data Sets

Neural Information Processing, p.548-555

Link zum Volltext

Verfügbarkeit prüfen

Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-10

2023

Link zum Volltext
Volltext

Early and Revocable Time Series Classification

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-8

2022

Link zum Volltext
Volltext

Importance Reweighting for Biquality Learning

2021 International Joint Conference on Neural Networks (IJCNN), 2021, p.1-8

2021

Link zum Volltext
Volltext

Realistic and very fast simulation of individual electricity consumptions

2015 International Joint Conference on Neural Networks (IJCNN), 2015, p.1-8

2015

Link zum Volltext
Volltext

Early Classification of Time Series: Cost-based multiclass Algorithms

2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 2021, p.1-10

2021

Link zum Volltext

Verfügbarkeit prüfen

Open challenges for Machine Learning based Early Decision-Making research

SIGKDD explorations, 2022-11, Vol.24 (2), p.12-31

2022

Link zum Volltext

Verfügbarkeit prüfen

Active Learning Strategies: A Case Study for Detection of Emotions in Speech

Advances in Data Mining. Theoretical Aspects and Applications, p.228-241

Link zum Volltext

Verfügbarkeit prüfen

Adaptive curiosity for emotions detection in speech

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.674-680

2008

Link zum Volltext
Volltext

Localized Random Shapelets

Advanced Analytics and Learning on Temporal Data, 2020, Vol.11986

2020

Link zum Volltext

Verfügbarkeit prüfen

Menü

Weitere Dienste

Einstellungen

Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts

Early classification of time series: Cost-based optimization criterion and algorithms

Early classification of time series

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem

Interpretable Feature Construction for Time Series Extrinsic Regression

Advanced analytics and learning on temporal data: 5th ECML PKDD workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, revised selected papers. (Lecture notes in artificial intelligence)

Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data

Multivariate Time Series Classification: A Relational Way

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization

Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers

Massive-Scale Simulation of Electrical Load in Smart Grids Using Generalized Additive Models

A non-parametric semi-supervised discretization method

Toward a Framework for Seasonal Time Series Forecasting Using Clustering

From Weakly Supervised Learning to Biquality Learning: an Introduction

Evaluation Protocol of Early Classifiers over Multiple Data Sets

Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion

Early and Revocable Time Series Classification

Importance Reweighting for Biquality Learning

Realistic and very fast simulation of individual electricity consumptions

Early Classification of Time Series: Cost-based multiclass Algorithms

Open challenges for Machine Learning based Early Decision-Making research

Active Learning Strategies: A Case Study for Detection of Emotions in Speech

Adaptive curiosity for emotions detection in speech

Localized Random Shapelets

Suchergebnisse filtern