Sofie Van Hoecke

Orcid: 0000-0002-7865-6793

According to our database1, Sofie Van Hoecke authored at least 109 papers between 2005 and 2024.

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



In proceedings 
PhD thesis 


Online presence:



Benchmarking Whole Knowledge Graph Embedding Techniques.
Int. J. Softw. Eng. Knowl. Eng., January, 2024

Conformal Predictive Systems Under Covariate Shift.
CoRR, 2024

Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects.
CoRR, 2024

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

Context-aware deep learning with dynamically assembled weight matrices.
Inf. Fusion, December, 2023

Parameter Efficient Neural Networks With Singular Value Decomposed Kernels.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients.
Int. J. Medical Informatics, July, 2023

Real-Time Estimation and Monitoring of COVID-19 Aerosol Transmission Risk in Office Buildings.
Sensors, March, 2023

Do not sleep on traditional machine learning: Simple and interpretable techniques are competitive to deep learning for sleep scoring.
Biomed. Signal Process. Control., March, 2023

From Lab to Real World: Assessing the Effectiveness of Human Activity Recognition and Optimization through Personalization.
Sensors, 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

tsdownsample: high-performance time series downsampling for scalable visualization.
CoRR, 2023

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB.
CoRR, 2023

Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines.
CoRR, 2023

Variable Length Motif Discovery in Time Series Data.
IEEE Access, 2023

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB.
Proceedings of the 2023 IEEE Visualization and Visual Analytics (VIS), 2023

LDESTS: Enabling Efficient Storage and Querying of Large Volumes of Time Series Data on Solid Pods.
Proceedings of the ISWC 2023 Posters, 2023

Tree Visualization of Patient Information for Explainability of AI Outputs.
Proceedings of the 8th International Workshop on the Visualization and Interaction for Ontologies, 2023

Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients.
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

Edge Anomaly Detection Framework for AIOps in Cloud and IoT.
Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

tsflex: Flexible time series processing & feature extraction.
SoftwareX, 2022

A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation.
Sensors, 2022

Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients.
BMC Medical Informatics Decis. Mak., 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

Perfectly predicting ICU length of stay: too good to be true.
CoRR, 2022

Do Not Sleep on Linear Models: Simple and Interpretable Techniques Outperform Deep Learning for Sleep Scoring.
CoRR, 2022

Plotly-Resampler: Effective Visual Analytics for Large Time Series.
CoRR, 2022

R-GCN: The R Could Stand for Random.
CoRR, 2022

Hierarchical pattern matching for anomaly detection in time series.
Comput. Commun., 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

Plotly-Resampler: Effective Visual Analytics for Large Time Series.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Powershap: A Power-Full Shapley Feature Selection Method.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Leak localization in Water Distribution Networks By Directly Fitting the Learning Parameters of a Gaussian Naive Bayes Classifier.
Proceedings of the IEEE International Conference on Big Data, 2022

Bayesian Convolutional Neural Networks for Remaining Useful Life Prognostics of Solenoid Valves With Uncertainty Estimations.
IEEE Trans. Ind. Informatics, 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

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling.
Artif. Intell. Medicine, 2021

Scalable Fleet Monitoring and Visualization for Smart Machine Maintenance and Industrial IoT Applications.
Sensors, 2020

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

Clinical information extraction for preterm birth risk prediction.
J. Biomed. Informatics, 2020

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

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling.
CoRR, 2020

Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Thermal Imaging and Vibration-Based Multisensor Fault Detection for Rotating Machinery.
IEEE Trans. Ind. Informatics, 2019

Neural Network Augmented Physics Models for Systems with Partially Unknown Dynamics: Application to Slider-Crank Mechanism.
CoRR, 2019

NAOMI: INformation Application fOr Relatives of Patients AdMitted to the ICU.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Interpretable detection of unstable smart TV usage from power state logs.
Proceedings of the Advances in Data Mining, 2019

Eliminating Noise in the Matrix Profile.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Implications of Z-Normalization in the Matrix Profile.
Proceedings of the Pattern Recognition Applications and Methods, 2019

Hybrid derivative functions for identification of unknown loads and physical parameters with application on slider-crank mechanism.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset.
Proceedings of the Artificial Intelligence in Medicine, 2019

Time-to-Birth Prediction Models and the Influence of Expert Opinions.
Proceedings of the Artificial Intelligence in Medicine, 2019

Large-scale wearable data reveal digital phenotypes for daily-life stress detection.
npj Digit. Medicine, 2018

A decision support system to follow up and diagnose primary headache patients using semantically enriched data.
BMC Medical Informatics Decis. Mak., 2018

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning.
CoRR, 2018

The efficacy of the Friendly Attac serious digital game to promote prosocial bystander behavior in cyberbullying among young adolescents: A cluster-randomized controlled trial.
Comput. Hum. Behav., 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

Data-driven Optimization of Energy Efficiency and Comfort in an Apartment.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

The pragmatic proof: Hypermedia API composition and execution.
Theory Pract. Log. Program., 2017

A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

Extensible Multi-domain Generation of Virtual Worlds using Blackboards.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 1: GRAPP, Porto, Portugal, February 27, 2017

Data-driven multivariate power curve modeling of offshore wind turbines.
Eng. Appl. Artif. Intell., 2016

GENESIM: genetic extraction of a single, interpretable model.
CoRR, 2016

Towards intelligent lubrication control: Infrared thermal imaging for oil level prediction in bearings.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

A Learning Based Approach for Real-Time Emotion Classification of Tweets.
Proceedings of the Applications of Social Media and Social Network Analysis, 2015

Enabling Control of 3D Visuals, Scenarios and Non-linear Gameplay in Serious Game Development Through Model-Driven Authoring.
Proceedings of the Serious Games, Interaction, and Simulation, 2015

Hyperspectral Image Classification with Convolutional Neural Networks.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Dynamic Monitoring Dashboards Through Composition of Web and Visualization Services.
Proceedings of the Internet of Things. IoT Infrastructures, 2015

Generating Non-linear Narrative for Serious Games with Scenario Templates.
Proceedings of the GRAPP 2015, 2015

Procedural Animation of Human Interaction using Inverse Kinematics and Fuzzy Logic.
Proceedings of the GRAPP 2015, 2015

Multi-modal time-of-flight based fire detection.
Multim. Tools Appl., 2014

Real-time animation of human characters with fuzzy controllers.
CoRR, 2014

Educational virtual game scenario generation for serious games.
Proceedings of the 3nd IEEE International Conference on Serious Games and Applications for Health, 2014

Influence of Weak Labels for Emotion Recognition of Tweets.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2014

Image-Based Road Type Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Video driven fire spread forecasting (f) using multi-modal LWIR and visual flame and smoke data.
Pattern Recognit. Lett., 2013

Spatio-temporal Video Retrieval by Animated Sketching.
Proceedings of the VISAPP 2013, 2013

Visitor-art interaction by motion path detection.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Leaf segmentation and parallel phenotyping for the analysis of gene networks in plants.
Proceedings of the 21st European Signal Processing Conference, 2013

Real-time emotion classification of Tweets.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Silhouette-based multi-sensor smoke detection - Coverage analysis of moving object silhouettes in thermal and visual registered images.
Mach. Vis. Appl., 2012

Design and Evaluation of a Service Oriented Architecture for Paperless ICU Tarification.
J. Medical Syst., 2012

Functional Composition of Sensor Web APIs.
Proceedings of the 5th International Workshop on Semantic Sensor Networks, 2012

Multi-sensor fire detection using visual and time-of-flight imaging.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Has information technology finally been adopted in Flemish intensive care units?
BMC Medical Informatics Decis. Mak., 2010

SALSA: QoS-aware load balancing for autonomous service brokering.
J. Syst. Softw., 2010

Dynamic composition of medical support services in the ICU: Platform and algorithm design details.
Comput. Methods Programs Biomed., 2010

Multi-sensor Fire Detection by Fusing Visual and Non-visual Flame Features.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

Design of Software Services for Computer-Based Infection Control and Antibiotic Management in the Intensive Care Unit.
Proceedings of the International Conference on eHealth, Telemedicine, and Social Medicine, 2009

Automatic WS-BPEL Composition of Medical Support Services in the ICU.
Proceedings of the International Conference on eHealth, Telemedicine, and Social Medicine, 2009

Design of a JAIN SLEE/ESB-based platform for routing medical data in the ICU.
Comput. Methods Programs Biomed., 2008

Web Service Composition Using the Web Services Management Layer.
Proceedings of the WEBIST 2008, 2008

Ontology-driven middleware for next-generation train backbones.
Sci. Comput. Program., 2007

Design of a flexible platform for execution of medical decision support agents in the intensive care unit.
Comput. Biol. Medicine, 2007

Secure and Dynamic Client Environment for Interactive eHomeCare.
Proceedings of the 2007 International Conference on Software Engineering Research & Practice, 2007

Granularity of Medical Software Agents in ICU -Trade-off Performance versus Flexibility.
Proceedings of the Advances in Intelligent and Distributed Computing, 2007

Dynamic Workflow Instrumentation for Windows Workflow Foundation.
Proceedings of the Second International Conference on Software Engineering Advances (ICSEA 2007), 2007

Dynamic Selection of Interactive eHomeCare Services.
Proceedings of the IEEE International Conference on Pervasive Services, 2007

Web Services-based Middleware for QoS Brokering of Media Content Delivery Services.
Proceedings of the 2006 International Conference on Semantic Web & Web Services, 2006

Ontology-Driven Middleware for Next-Generation Train Backbones.
Proceedings of the International Conference on Software Engineering Research and Practice & Conference on Programming Languages and Compilers, 2006

Modeling the performance of the Web service platform using Layered Queueing Networks.
Proceedings of the International Conference on Software Engineering Research and Practice, 2005

Design and Implementation of a Secure Media Content Delivery Broker Architecture.
Proceedings of The 2005 International Symposium on Web Services and Applications, 2005