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Outlier Ensembles: An Introduction

1, 2017

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Improving spectral clustering with deep embedding, cluster estimation and metric learning

Knowledge and information systems, 2021-03, Vol.63 (3), p.675-694

2021

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Intussusception through an ileostomy

South Asian journal of cancer, 2013-07, Vol.2 (3), p.150-150

2013

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Subspace histograms for outlier detection in linear time

Knowledge and information systems, 2018-09, Vol.56 (3), p.691-715

2018

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Managing Evolving Uncertainty in Trajectory Databases

IEEE transactions on knowledge and data engineering, 2014-07, Vol.26 (7), p.1692-1705

2014

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280-OR: Machine Learning to Predict Hypoglycemic Events from Continuous Glucose Monitoring Data

Diabetes (New York, N.Y.), 2019-06, Vol.68 (Supplement_1)

2019

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EnviroMeter: a platform for querying community-sensed data

Proceedings of the VLDB Endowment, 2013-08, Vol.6 (12), p.1294-1297

2013

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Managing and Mining Sensor Data

1. Aufl., 2013

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On crowdsensed data acquisition using multi-dimensional point processes

2015 31st IEEE International Conference on Data Engineering Workshops, 2015, p.124-128

2015

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AFFINITY: Efficiently querying statistical measures on time-series data

2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013, p.841-852

2013

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Theoretical Foundations and Algorithms for Outlier Ensembles

SIGKDD explorations, 2015-09, Vol.17 (1), p.24-47

2015

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Enabling Location-Based Services 2.0: Challenges and Opportunities

2014 IEEE 15th International Conference on Mobile Data Management, 2014, Vol.1, p.317-320

2014

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Similarity Forests

Proceedings of the 23rd ACM SIGKDD International Conference on knowledge discovery and data mining, 2017, p.395-403

2017

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Creating probabilistic databases from imprecise time-series data

2011 IEEE 27th International Conference on Data Engineering, 2011, p.327-338

2011

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Improving Spectral Clustering with Deep Embedding and Cluster Estimation

2019 IEEE International Conference on Data Mining (ICDM), 2019, p.170-179

2019

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Gene Expression and Protein Function: A Survey of Deep Learning Methods

SIGKDD explorations, 2019-11, Vol.21 (2), p.23-38

2019

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Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines

2019 IEEE International Conference on Data Mining (ICDM), 2019, p.1300-1305

2019

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Fast Distributed Correlation Discovery Over Streaming Time-Series Data

Proceedings of the 24th ACM International on conference on information and knowledge management, 2015, p.1161-1170

2015

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Subspace Outlier Detection in Linear Time with Randomized Hashing

2016 IEEE 16th International Conference on Data Mining (ICDM), 2016, p.459-468

2016

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Data-driven characterisation of solar PV panel performance

2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2017, p.1-6

2017

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OpenSense: open community driven sensing of environment

Proceedings of the ACM SIGSPATIAL International Workshop on geostreaming, 2010, p.39-42

2010

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Kernel-Based Feature Extraction for Collaborative Filtering

2017 IEEE International Conference on Data Mining (ICDM), 2017, p.1057-1062

2017

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About the Authors

Outlier Ensembles, 2017

2017

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Intro

Outlier Ensembles, 2017

2017

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Intro

Outlier Ensembles, 2017

2017

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Outlier Ensembles: An Introduction

Improving spectral clustering with deep embedding, cluster estimation and metric learning

Intussusception through an ileostomy

Subspace histograms for outlier detection in linear time

Managing Evolving Uncertainty in Trajectory Databases

280-OR: Machine Learning to Predict Hypoglycemic Events from Continuous Glucose Monitoring Data

EnviroMeter: a platform for querying community-sensed data

Managing and Mining Sensor Data

On crowdsensed data acquisition using multi-dimensional point processes

AFFINITY: Efficiently querying statistical measures on time-series data

Theoretical Foundations and Algorithms for Outlier Ensembles

Enabling Location-Based Services 2.0: Challenges and Opportunities

Similarity Forests

Creating probabilistic databases from imprecise time-series data

Improving Spectral Clustering with Deep Embedding and Cluster Estimation

Gene Expression and Protein Function: A Survey of Deep Learning Methods

Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines

Fast Distributed Correlation Discovery Over Streaming Time-Series Data

Subspace Outlier Detection in Linear Time with Randomized Hashing

Data-driven characterisation of solar PV panel performance

OpenSense: open community driven sensing of environment

Kernel-Based Feature Extraction for Collaborative Filtering

About the Authors

Intro

Intro

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