Bram Steenwinckel

About Bram Steenwinckel

Bram Steenwinckel, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of Anomaly detection, Root cause analysis, Semantics, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks

Unlocking the potential of smartphone and ambient sensors for ADL detection

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

INK: Knowledge graph representation for efficient and performant rule mining

TALK: Tracking Activities by Linking Knowledge

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Knowledge Graph Creation and Embedding to Realize Explainable Hybrid AI Applications

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

Bram Steenwinckel Information

University

Position

___

Citations(all)

360

Citations(since 2020)

358

Cited By

40

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Bram Steenwinckel Skills & Research Interests

Anomaly detection

Root cause analysis

Semantics

Machine learning

Top articles of Bram Steenwinckel

Title

Journal

Author(s)

Publication Date

Patients with chronic cluster headache may show reduced activity energy expenditure on ambulatory wrist actigraphy recordings during daytime attacks

Brain and Behavior

Nicolas Vandenbussche

Jonas Van Der Donckt

Mathias De Brouwer

Bram Steenwinckel

Marija Stojchevska

...

2024/1

Unlocking the potential of smartphone and ambient sensors for ADL detection

Scientific Reports

Marija Stojchevska

Mathias De Brouwer

Martijn Courteaux

Bram Steenwinckel

Sofie Van Hoecke

...

2024/3/5

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

arXiv preprint arXiv:2401.13518

Jonas Van Der Donckt

Nicolas Vandenbussche

Jeroen Van Der Donckt

Stephanie Chen

Marija Stojchevska

...

2024/1/24

INK: Knowledge graph representation for efficient and performant rule mining

Semantic Web

Bram Steenwinckel

Filip De Turck

Femke Ongenae

2023

TALK: Tracking Activities by Linking Knowledge

Engineering Applications of Artificial Intelligence

Bram Steenwinckel

Mathias De Brouwer

Marija Stojchevska

Filip De Turck

Sofie Van Hoecke

...

2023/6/1

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

Bram Steenwinckel

Gilles Vandewiele

Terencio Agozzino

Femke Ongenae

2023/5/22

Knowledge Graph Creation and Embedding to Realize Explainable Hybrid AI Applications

Bram Steenwinckel

2023

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

Semantic Web

Mathias De Brouwer

Bram Steenwinckel

Ziye Fang

Marija Stojchevska

Pieter Bonte

...

2023/1/1

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

BMC Medical Informatics and Decision Making

Mathias De Brouwer

Nicolas Vandenbussche

Bram Steenwinckel

Marija Stojchevska

Jonas Van Der Donckt

...

2022/3/31

Data analytics for health and connected care: ontology, knowledge graph and applications

Bram Steenwinckel

Mathias De Brouwer

Marija Stojchevska

Jeroen Van Der Donckt

Jelle Nelis

...

2022/12/12

INK: knowledge graph embeddings for node classification

Data Mining and Knowledge Discovery

Bram Steenwinckel

Gilles Vandewiele

Michael Weyns

Terencio Agozzino

Filip De Turck

...

2022/3

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

...

2022/12/12

From self-reporting to monitoring for improved migraine management

Jonas Van Der Donckt

Mathias De Brouwer

Pieter Moens

Marija Stojchevska

Bram Steenwinckel

...

2022

Deep learning models for predicting RNA degradation via dual crowdsourcing

Nature Machine Intelligence

Hannah K Wayment-Steele

Wipapat Kladwang

Andrew M Watkins

Do Soon Kim

Bojan Tunguz

...

2022/12

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

BMC Medical Informatics and Decision Making

Marija Stojchevska

Bram Steenwinckel

Jonas Van Der Donckt

Mathias De Brouwer

Annelies Goris

...

2022/10/15

Towards knowledge-driven symptom monitoring & trigger detection of primary headache disorders

Mathias De Brouwer

Nicolas Vandenbussche

Bram Steenwinckel

Marija Stojchevska

Jonas Van Der Donckt

...

2022/4/25

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

Future Generation Computer Systems

Bram Steenwinckel

Dieter De Paepe

Sander Vanden Hautte

Pieter Heyvaert

Mohamed Bentefrit

...

2021/3/1

Walk extraction strategies for node embeddings with rdf2vec in knowledge graphs

Bram Steenwinckel

Gilles Vandewiele

Pieter Bonte

Michael Weyns

Heiko Paulheim

...

2021

A complete software stack for IoT time-series analysis that combines semantics and machine learning—lessons learned from the dyversify project

Applied Sciences

Dieter De Paepe

Sander Vanden Hautte

Bram Steenwinckel

Pieter Moens

Jasper Vaneessen

...

2021/12/15

Event-driven dashboarding and feedback for improved event detection in predictive maintenance applications

Applied Sciences

Pieter Moens

Sander Vanden Hautte

Dieter De Paepe

Bram Steenwinckel

Stijn Verstichel

...

2021/11/4

See List of Professors in Bram Steenwinckel University(Universiteit Gent)