Andreas W. Kempa-Liehr

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Predictive Analytics

Feature Engineering

Image Recognition

Top Venues

ICDM (Workshops)

Publications

Paul Michael B. Abrasaldo, Sadiq J. Zarrouk, Alan Mudie, Jonathan Cen, Christine Siega, Andreas W. Kempa-Liehr
Detection of abnormal operation in geothermal binary plant feed pumps using time-series analytics. Expert Syst. Appl. 247 (2024)
Ivan Koptev, Cameron G. Walker, Andreas W. Kempa-Liehr
Image Recognition and Threat Detection in Bags Arriving at the Airport. PSIVT (2023)
Hayden Jeune, Niklas Pechan, Sharn-Konet Reitsma, Andreas W. Kempa-Liehr
Spatial Variation Sequences for Remote Sensing Applications with Small Sample Sizes. PSIVT (2023)
Nicholas Pudjihartono, Tayaza Fadason, Andreas W. Kempa-Liehr, Justin M. O'Sullivan
A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction. Frontiers Bioinform. 2 (2022)
Ali Hammadeh, Amin Zayani, Andreas W. Kempa-Liehr
Time Series Ordinal Regression for Supporting the Storage of Temperature Sensitive Medication in Domestic Refrigerators. ICDM (Workshops) (2021)
Scott Simmons, Louis Jarvis, David Dempsey, Andreas W. Kempa-Liehr
Data Mining on Extremely Long Time-Series. ICDM (Workshops) (2021)
Alex Kennedy, Gemma Nash, Nicholas Rattenbury, Andreas W. Kempa-Liehr
Modelling the projected separation of microlensing events using systematic time-series feature engineering. Astron. Comput. 35 (2021)
Gábor Erdélyi, Olivia Johanna Erdélyi, Andreas W. Kempa-Liehr
A Proposal for Amending Privacy Regulations to Tackle the Challenges Stemming from Combining Data Sets. CoRR (2021)
Andreas W. Kempa-Liehr, Christina Yin-Chieh Lin, Randall Britten, Delwyn Armstrong, Jonathan Wallace, Dylan Mordaunt, Michael O'Sullivan
Healthcare pathway discovery and probabilistic machine learning. Int. J. Medical Informatics 137 (2020)
Hui Yie Teh, Andreas W. Kempa-Liehr, Kevin I-Kai Wang
Sensor data quality: a systematic review. J. Big Data 7 (1) (2020)
Homayoon Zarshenas, Bryan P. Ruddy, Andreas W. Kempa-Liehr, Thor F. Besier
Ankle torque forecasting using time-delayed neural networks. EMBC (2020)
Yichen Tang, Kelly Blincoe, Andreas W. Kempa-Liehr
Enriching feature engineering for short text samples by language time series analysis. EPJ Data Sci. 9 (1) (2020)
Andreas W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor F. Besier
Feature Engineering Workflow for Activity Recognition from Synchronized Inertial Measurement Units. ACPR Workshops (2019)
Andreas W. Kempa-Liehr, Jonty Oram, Andrew Wong, Mark Finch, Thor F. Besier
Feature engineering workflow for activity recognition from synchronized inertial measurement units. CoRR (2019)
Maximilian Christ, Nils Braun, Julius Neuffer, Andreas W. Kempa-Liehr
Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh - A Python package). Neurocomputing 307 (2018)
Maximilian Christ, Julius Neuffer, Andreas W. Kempa-Liehr
On the Implicit Cost Structure of Service Levels from the Perspective of the Service Consumer. CLOSER (2017)
Maximilian Christ, Andreas W. Kempa-Liehr, Michael Feindt
Distributed and parallel time series feature extraction for industrial big data applications. CoRR (2016)
Michael Falkenthal, Uwe Breitenbücher, Kálmán Képes, Frank Leymann, Michael Zimmermann, Maximilian Christ, Julius Neuffer, Nils Braun, Andreas W. Kempa-Liehr
OpenTOSCA for the 4th Industrial Revolution: Automating the Provisioning of Analytics Tools based on Apache Flink. IOT (2016)
Maximilian Christ, Julian Krumeich, Andreas W. Kempa-Liehr
Integrating Predictive Analytics into Complex Event Processing by Using Conditional Density Estimations. EDOC Workshops (2016)
Andreas W. Kempa-Liehr
Performance analysis of concurrent workflows. J. Big Data 2 (2015)