Bram Steenwinckel

According to our database, Bram Steenwinckel authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Jonas Van Der Donckt, Nicolas Vandenbussche, Jeroen Van Der Donckt, Stephanie Chen, Marija Stojchevska, Mathias De Brouwer, Bram Steenwinckel, Koen Paemeleire, Femke Ongenae, Sofie Van Hoecke

CoRR, 2024

2023

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

Mathias De Brouwer, Bram Steenwinckel, Ziye Fang, Marija Stojchevska, Pieter Bonte, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Semantic Web, 2023

TALK: Tracking Activities by Linking Knowledge.

Bram Steenwinckel, Mathias De Brouwer, Marija Stojchevska, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Eng. Appl. Artif. Intell., 2023

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec.

Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Femke Ongenae

Proceedings of the Semantic Web - 20th International Conference, 2023

2022

Deep learning models for predicting RNA degradation via dual crowdsourcing.

Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, King Yuen Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Rhiju Das

Nat. Mac. Intell., December, 2022

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

Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

BMC Medical Informatics Decis. Mak., 2022

mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients.

Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Jasper Vaneessen, Filip De Turck, Bruno Volckaert, Paul Boon, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae

BMC Medical Informatics Decis. Mak., 2022

INK: knowledge graph embeddings for node classification.

Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae

Data Min. Knowl. Discov., 2022

Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders.

Mathias De Brouwer, Nicolas Vandenbussche, Bram Steenwinckel, Marija Stojchevska, Jonas Van Der Donckt, Vic Degraeve, Filip De Turck, Koen Paemeleire, Sofie Van Hoecke, Femke Ongenae

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.

Bram Steenwinckel, Mathias De Brouwer, Marija Stojchevska, M. Jeroen Van Der Donckt, Jelle Nelis, Joeri Ruyssinck, Joachim van der Herten, Koen Casier, Jan Van Ooteghem, Pieter Crombez, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection.

Kyana Bosschaerts, Jeroen Stragier, Bram Steenwinckel, Lieven De Marez, Sofie Van Hoecke, Femke Ongenae

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.

Bram Steenwinckel, Dieter De Paepe, Sander Vanden Hautte, Pieter Heyvaert, Mohamed Bentefrit, Pieter Moens, Anastasia Dimou, Bruno Van Den Bossche, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Future Gener. Comput. Syst., 2021

Predictive models of RNA degradation through dual crowdsourcing.

Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Demkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, Anthony Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Eterna Participants, Rhiju Das

CoRR, 2021

MAGIC: Mining an Augmented Graph using INK, starting from a CSV.

Bram Steenwinckel, Filip De Turck, Femke Ongenae

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.

Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae

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.

Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke

Sensors, 2020

MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph.

Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae

BMC Medical Informatics Decis. Mak., 2020

A generalized matrix profile framework with support for contextual series analysis.

Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Filip De Turck, Femke Ongenae, Olivier Janssens, Sofie Van Hoecke

Eng. Appl. Artif. Intell., 2020

Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph.

Bram Steenwinckel, Gilles Vandewiele, Ilja Rausch, Pieter Heyvaert, Ruben Taelman, Pieter Colpaert, Pieter Simoens, Anastasia Dimou, Filip De Turck, Femke Ongenae

Proceedings of the Semantic Web - ISWC 2020, 2020

Conditional Constraints for Knowledge Graph Embeddings.

Michael Weyns, Pieter Bonte, Bram Steenwinckel, Filip De Turck, Femke Ongenae

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.

Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae

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.

Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck

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.

Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

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.

Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

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.

Bram Steenwinckel

Proceedings of the Semantic Web: ESWC 2018 Satellite Events, 2018

Self-Learning Algorithms for the Personalised Interaction with People with Dementia.

Bram Steenwinckel, Femke De Backere, Jelle Nelis, Femke Ongenae, Filip De Turck

Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018