Bram Steenwinckel

Orcid: 0000-0002-3488-2334

According to our database1, Bram Steenwinckel authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
INK: Knowledge graph representation for efficient and performant rule mining.
Semantic Web, 2024

Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring.
CoRR, 2024

Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop.
Proceedings of the Semantic Web - ISWC 2024, 2024

2023
Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design.
Semantic Web, 2023

TALK: Tracking Activities by Linking Knowledge.
Eng. Appl. Artif. Intell., 2023

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.
Proceedings of the Semantic Web - 20th International Conference, 2023

2022
Deep learning models for predicting RNA degradation via dual crowdsourcing.
Nat. Mac. Intell., December, 2022

Assessing the added value of context during stress detection from wearable data.
BMC Medical Informatics Decis. Mak., 2022

mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.
BMC Medical Informatics Decis. Mak., 2022

INK: knowledge graph embeddings for node classification.
Data Min. Knowl. Discov., 2022

Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

2021
FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning.
Future Gener. Comput. Syst., 2021

Predictive models of RNA degradation through dual crowdsourcing.
CoRR, 2021

MAGIC: Mining an Augmented Graph using INK, starting from a CSV.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020
A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies.
Sensors, 2020

MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph.
BMC Medical Informatics Decis. Mak., 2020

A generalized matrix profile framework with support for contextual series analysis.
Eng. Appl. Artif. Intell., 2020

Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2020, 2020

Conditional Constraints for Knowledge Graph Embeddings.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020, 2020

2019
CVS2KG: Transforming Tabular Data into Semantic Knowledge.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 18th International Semantic Web Conference, 2019

Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph.
Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

2018
Automated Extraction of Rules and Knowledge from Risk Analyses: a Ventilation Unit Demo.
Proceedings of the ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (ISWC 2018), Monterey, USA, October 8th - to, 2018

Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses.
Proceedings of the 9th International Semantic Sensor Networks Workshop co-located with 17th International Semantic Web Conference, 2018

Adaptive Anomaly Detection and Root Cause Analysis by Fusing Semantics and Machine Learning.
Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

Self-Learning Algorithms for the Personalised Interaction with People with Dementia.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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