Dirk Deschrijver

Orcid: 0000-0001-6600-1792

According to our database1, Dirk Deschrijver authored at least 53 papers between 2004 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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

Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification.
Adv. Data Anal. Classif., 2021

2020
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.
IEEE J. Biomed. Health Informatics, 2020

Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning.
Proceedings of the Machine Learning for Health Workshop, 2020

2019
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

ALBATROS: adaptive line-based sampling trajectories for sequential measurements.
Eng. Comput., 2019

Generating an Explainable ECG Beat Space With Variational Auto-Encoders.
CoRR, 2019

Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments.
Proceedings of the 2019 Winter Simulation Conference, 2019

Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data.
Proceedings of the Machine Learning for Health Workshop, 2019

Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
VI-Based Appliance Classification Using Aggregated Power Consumption Data.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 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

Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017
Surrogate modeling based cognitive decision engine for optimization of WLAN performance.
Wirel. Networks, 2017

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models.
J. Optim. Theory Appl., 2017

Automated classification of appliances using elliptical fourier descriptors.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Handling imbalance in an extended PLAID.
Proceedings of the 2017 Sustainable Internet and ICT for Sustainability, 2017

2016
Building accurate radio environment maps from multi-fidelity spectrum sensing data.
Wirel. Networks, 2016

Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility.
IEEE Trans. Wirel. Commun., 2016

Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial.
Sensors, 2016

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty.
CoRR, 2016

Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations.
CoRR, 2016

Adaptive classification under computational budget constraints using sequential data gathering.
Adv. Eng. Softw., 2016

Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments.
SIAM J. Sci. Comput., 2015

Efficient global optimization of multi-parameter network problems on wireless testbeds.
Ad Hoc Networks, 2015

Constructing classifiers of expensive simulation-based data by sequential experimental design.
Proceedings of the 2015 Winter Simulation Conference, 2015

Throughput optimization of wireless LANs by surrogate model based cognitive decision making.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference Workshops, 2015

A Matlab Toolbox for Kriging Metamodelling.
Proceedings of the International Conference on Computational Science, 2015

Throughput optimization strategies for large-scale wireless LANs.
Proceedings of the 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2015

2014
Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization.
J. Glob. Optim., 2014

A cognitive QoS management framework for WLANs.
EURASIP J. Wirel. Commun. Netw., 2014

Classification aided domain reduction for high dimensional optimization.
Proceedings of the 2014 Winter Simulation Conference, 2014

Efficient multi-objective optimization of wireless network problems on wireless testbeds.
Proceedings of the 10th International Conference on Network and Service Management, 2014

Fuzzy local linear approximation-based sequential design.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

2013
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression.
IEEE Trans. Circuits Syst. Video Technol., 2013

A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks.
Int. J. Netw. Manag., 2013

Identification of quasi-optimal regions in the design space using surrogate modeling.
Eng. Comput., 2013

A balanced sequential design strategy for global surrogate modeling.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories.
Proceedings of the Design, Automation and Test in Europe, 2013

The SUMO toolbox: A tool for automatic regression modeling and active learning.
Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012
Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments.
SIAM J. Sci. Comput., 2011

2010
On the construction of guaranteed passive macromodels for high-speed channels.
Proceedings of the Design, Automation and Test in Europe, 2010

2009
Magnitude Vector Fitting to interval data.
Math. Comput. Simul., 2009

2004
Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives.
Proceedings of the Computational Science, 2004


  Loading...