Bram Steenwinckel

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte et al. · Future Generation Computer Systems · 2020 · 90 citations · Full text

Artificial Intelligence, Anomaly Detection, Machine Learning +24

Deep learning models for predicting RNA degradation via dual crowdsourcing

Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins et al. · Nature Machine Intelligence · 2022 · 45 citations · Full text

Rna Molecule, Engineering, Machine Learning +13

Assessing the added value of context during stress detection from wearable data

Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt et al. · BMC Medical Informatics and Decision Making · 2022 · 31 citations · Full text

A generalized matrix profile framework with support for contextual series analysis

Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel et al. · Engineering Applications of Artificial Intelligence · 2020 · 29 citations · Full text

Engineering, Matrix Factorization, Data Science +10

INK: knowledge graph embeddings for node classification

Bram Steenwinckel, Gilles Vandewiele, Michael Weyns et al. · Data Mining and Knowledge Discovery · 2022 · 27 citations

Knowledge Representation, Engineering, Graph Theory +11