Self-Learning Algorithms for the Personalised Interaction with People with Dementia. - Bram Steenwinckel; Femke De Backere; Jelle Nelis; Femke Ongenae; Filip De Turck (AAAI Workshops, 2018)

Adaptive Anomaly Detection and Root Cause Analysis by Fusing Semantics and Machine Learning. - Bram Steenwinckel (ESWC (Satellite Events), 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 (SSN@ISWC, 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 (ISWC (P&D/Industry/BlueSky), 2018)

Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph. - Gilles Vandewiele; Bram Steenwinckel; Femke Ongenae; Filip De Turck (SEPDA@ISWC, 2019)

CVS2KG: Transforming Tabular Data into Semantic Knowledge. - Gilles Vandewiele; Bram Steenwinckel; Filip De Turck; Femke Ongenae (SemTab@ISWC, 2019)

Conditional Constraints for Knowledge Graph Embeddings. - Michael Weyns; Pieter Bonte; Bram Steenwinckel; Filip De Turck; Femke Ongenae (DL4KG@ESWC, 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 (ISWC (2), 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)

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 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)

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 (DEXA Workshops, 2021)

MAGIC: Mining an Augmented Graph using INK, starting from a CSV. - Bram Steenwinckel; Filip De Turck; Femke Ongenae (SemTab@ISWC, 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; et al. (CoRR, 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)

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 (PervasiveHealth, 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; et al. (PervasiveHealth, 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 (WWW (Companion Volume), 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)

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 001; Koen Paemeleire; Sofie Van Hoecke; et al. (BMC Medical Informatics Decis. Mak., 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)

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; et al. (Nat. Mac. Intell., 2022)

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. - Bram Steenwinckel; Gilles Vandewiele; Terencio Agozzino; Femke Ongenae (ESWC, 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)

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)

Scalable Table-to-Knowledge Graph Matching from Metadata using LLMs. - Nathan Vandemoortele; Bram Steenwinckel; Sofie Van Hoecke; Femke Ongenae (SemTab@ISWC, 2024)

Quality in Color: Using Knowledge Graphs for Enhanced Quality Control in an Automotive Paintshop. - Bram Steenwinckel; Colin Soete; Pieter Moens; Joris Mussche; Sofie Van Hoecke; Femke Ongenae (ISWC (3), 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)

INK: Knowledge graph representation for efficient and performant rule mining. - Bram Steenwinckel; Filip De Turck; Femke Ongenae (Semantic Web, 2024)

Anomaly Detection on Dynamic Knowledge Graphs. - Pieter Moens; Bram Steenwinckel; Femke Ongenae; Bruno Volckaert; Sofie Van Hoecke (Zenodo, 2024)

Another Brick in the Wall: Leveraging Feature Extraction and Ensemble Learning for Building Data Classification. - Bram Steenwinckel; Sofie Van Hoecke; Femke Ongenae (WWW (Companion Volume), 2025)

RR-GCN: Exploring Untrained Random Embeddings for Relational Graphs. - Sandeep Ramachandra; Vic Degraeve; Gilles Vandewiele; Bram Steenwinckel; Sofie Van Hoecke; Femke Ongenae (Int. J. Softw. Eng. Knowl. Eng., 2025)

Explainable knowledge graph embeddings for industrial process monitoring & control. - Michael Weyns; Thibault Blyau; Bram Steenwinckel; Filip De Turck; Sofie Van Hoecke; Femke Ongenae (Inf. Fusion, 2025)

From Haystack to Needle: Label Space Reduction for Zero-shot Classification. - Nathan Vandemoortele; Bram Steenwinckel; Femke Ongenae; Sofie Van Hoecke (CoRR, 2025)