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2020 – today
- 2024
[j11]Bram Steenwinckel, Filip De Turck, Femke Ongenae:
INK: Knowledge graph representation for efficient and performant rule mining. Semantic Web 15(4): 1367-1388 (2024)- [i4]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:
Addressing Data Quality Challenges in Observational Ambulatory Studies: Analysis, Methodologies and Practical Solutions for Wrist-worn Wearable Monitoring. CoRR abs/2401.13518 (2024) - 2023
- [j10]Bram Steenwinckel, Mathias De Brouwer
, Marija Stojchevska, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
TALK: Tracking Activities by Linking Knowledge. Eng. Appl. Artif. Intell. 122: 106076 (2023) - [j9]Mathias De Brouwer, Bram Steenwinckel, Ziye Fang, Marija Stojchevska, Pieter Bonte, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Context-aware query derivation for IoT data streams with DIVIDE enabling privacy by design. Semantic Web 14(5): 893-941 (2023) - [c14]Bram Steenwinckel, Gilles Vandewiele, Terencio Agozzino, Femke Ongenae:
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. ESWC 2023: 471-483 - 2022
- [j8]Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae:
INK: knowledge graph embeddings for node classification. Data Min. Knowl. Discov. 36(2): 620-667 (2022) - [j7]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:
mBrain: towards the continuous follow-up and headache classification of primary headache disorder patients. BMC Medical Informatics Decis. Mak. 22(1): 87 (2022) - [j6]Marija Stojchevska, Bram Steenwinckel, Jonas Van Der Donckt, Mathias De Brouwer, Annelies Goris, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Assessing the added value of context during stress detection from wearable data. BMC Medical Informatics Decis. Mak. 22(1): 268 (2022) - [j5]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:
Deep learning models for predicting RNA degradation via dual crowdsourcing. Nat. Mac. Intell. 4(12): 1174-1184 (2022) - [c13]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:
Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications. PervasiveHealth 2022: 344-360 - [c12]Kyana Bosschaerts, Jeroen Stragier, Bram Steenwinckel, Lieven De Marez, Sofie Van Hoecke, Femke Ongenae:
Design of a Social Chatbot with Gamification for user Profiling and Smoking Trigger Detection. PervasiveHealth 2022: 636-650 - [c11]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:
Towards Knowledge-Driven Symptom Monitoring & Trigger Detection of Primary Headache Disorders. WWW (Companion Volume) 2022: 264-268 - [i3]Gilles Vandewiele, Bram Steenwinckel, Terencio Agozzino, Femke Ongenae:
pyRDF2Vec: A Python Implementation and Extension of RDF2Vec. CoRR abs/2205.02283 (2022) - 2021
- [j4]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:
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. 116: 30-48 (2021) - [c10]Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae:
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. DEXA Workshops 2021: 70-80 - [c9]Bram Steenwinckel, Filip De Turck, Femke Ongenae:
MAGIC: Mining an Augmented Graph using INK, starting from a CSV. SemTab@ISWC 2021: 68-78 - [i2]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:
Predictive models of RNA degradation through dual crowdsourcing. CoRR abs/2110.07531 (2021) - 2020
- [j3]Dieter De Paepe, Sander Vanden Hautte, Bram Steenwinckel, Filip De Turck, Femke Ongenae, Olivier Janssens, Sofie Van Hoecke:
A generalized matrix profile framework with support for contextual series analysis. Eng. Appl. Artif. Intell. 90: 103487 (2020) - [j2]Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae:
MINDWALC: mining interpretable, discriminative walks for classification of nodes in a knowledge graph. BMC Medical Informatics Decis. Mak. 20-S(4): 191 (2020) - [j1]Sander Vanden Hautte, Pieter Moens, Joachim Van Herwegen, Dieter De Paepe, Bram Steenwinckel, Stijn Verstichel, Femke Ongenae, Sofie Van Hoecke:
A Dynamic Dashboarding Application for Fleet Monitoring Using Semantic Web of Things Technologies. Sensors 20(4): 1152 (2020) - [c8]Michael Weyns, Pieter Bonte, Bram Steenwinckel, Filip De Turck, Femke Ongenae:
Conditional Constraints for Knowledge Graph Embeddings. DL4KG@ESWC 2020 - [c7]Bram Steenwinckel, Gilles Vandewiele, Ilja Rausch, Pieter Heyvaert, Ruben Taelman, Pieter Colpaert, Pieter Simoens, Anastasia Dimou, Filip De Turck, Femke Ongenae:
Facilitating the Analysis of COVID-19 Literature Through a Knowledge Graph. ISWC (2) 2020: 344-357 - [i1]Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae:
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs. CoRR abs/2009.04404 (2020)
2010 – 2019
- 2019
- [c6]Gilles Vandewiele, Bram Steenwinckel, Femke Ongenae, Filip De Turck:
Inducing a Decision Tree with Discriminative Paths to Classify Entities in a Knowledge Graph. SEPDA@ISWC 2019: 1-6 - [c5]Gilles Vandewiele, Bram Steenwinckel, Filip De Turck, Femke Ongenae:
CVS2KG: Transforming Tabular Data into Semantic Knowledge. SemTab@ISWC 2019: 33-40 - 2018
- [c4]Bram Steenwinckel, Femke De Backere, Jelle Nelis, Femke Ongenae, Filip De Turck:
Self-Learning Algorithms for the Personalised Interaction with People with Dementia. AAAI Workshops 2018: 153-158 - [c3]Bram Steenwinckel:
Adaptive Anomaly Detection and Root Cause Analysis by Fusing Semantics and Machine Learning. ESWC (Satellite Events) 2018: 272-282 - [c2]Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Towards Adaptive Anomaly Detection and Root Cause Analysis by Automated Extraction of Knowledge from Risk Analyses. SSN@ISWC 2018: 17-31 - [c1]Bram Steenwinckel, Pieter Heyvaert, Dieter De Paepe, Olivier Janssens, Sander Vanden Hautte, Anastasia Dimou, Filip De Turck, Sofie Van Hoecke, Femke Ongenae:
Automated Extraction of Rules and Knowledge from Risk Analyses: a Ventilation Unit Demo. ISWC (P&D/Industry/BlueSky) 2018
Coauthor Index
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last updated on 2024-10-25 20:11 CEST by the dblp team
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