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Dirk Deschrijver

Dirk Deschrijver

D-Index & Metrics

Computer Science

D-Index
31
Citations
4674
World Ranking
13568
National Ranking
127

Overview

Dirk Deschrijver is affiliated with Ghent University in Belgium, with a primary focus on engineering. Their research spans several subfields including Electrical and Electronic Engineering, Biomedical Engineering, Artificial Intelligence, Control and Systems Engineering, and Mechanical Engineering.

Their work addresses a range of topics, notably in non-invasive vital sign monitoring, advanced multi-objective optimization algorithms, smart grid energy management, building energy and comfort optimization, machine fault diagnosis techniques, electromagnetic compatibility and noise suppression, as well as energy efficiency and management.

Recent publications by Deschrijver showcase a multidisciplinary approach and engagement with both applied and theoretical aspects of engineering and data analysis. Notable papers include:

  • "A voltage and current measurement dataset for plug load appliance identification in households" (2020, Scientific Data)
  • "Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning" (2020, IEEE Journal of Biomedical and Health Informatics)
  • "A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation" (2022, Sensors)
  • "Split BiRNN for real-time activity recognition using radar and deep learning" (2022, Scientific Reports)
  • "Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification" (2021, Advances in Data Analysis and Classification)

Deschrijver frequently collaborates with several researchers, reflecting ongoing partnerships in various domains. Prominent co-authors include:

  • Tom Dhaene
  • Lorin Werthen-Brabants
  • Ivo Couckuyt
  • Federico Garbuglia
  • Domenico Spina

Their contributions have appeared repeatedly in specialized journals and conference proceedings. The publication venues where Deschrijver has had multiple papers include:

  • Electronics Letters
  • IEEE Transactions on Electromagnetic Compatibility
  • IEEE Transactions on Microwave Theory and Techniques
  • The International Journal of Acoustics and Vibration
  • 2022 24th International Microwave and Radar Conference (MIKON)

Best Publications

  • Macromodeling of Multiport Systems Using a Fast Implementation of the Vector Fitting Method

    D. Deschrijver;M. Mrozowski;T. Dhaene;D. De Zutter

  • Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

    Ivo Couckuyt;Dirk Deschrijver;Tom Dhaene

  • A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments

    Karel Crombecq;Dirk Gorissen;Dirk Deschrijver;Tom Dhaene

  • Appliance classification using VI trajectories and convolutional neural networks

    Leen De Baets;Joeri Ruyssinck;Chris Develder;Tom Dhaene

  • Orthonormal Vector Fitting: A Robust Macromodeling Tool for Rational Approximation of Frequency Domain Responses

    D. Deschrijver;B. Haegeman;T. Dhaene

  • Comprehensive feature selection for appliance classification in NILM

    Nasrin Sadeghianpourhamami;Joeri Ruyssinck;Dirk Deschrijver;Tom Dhaene

  • Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks

    Tom Van Steenkiste;Willemijn Groenendaal;Dirk Deschrijver;Tom Dhaene

  • Robust Parametric Macromodeling Using Multivariate Orthonormal Vector Fitting

    D. Deschrijver;T. Dhaene;D. De Zutter

  • Stochastic Modeling-Based Variability Analysis of On-Chip Interconnects

    D.Vande Ginste;Daniel De Zutter;D. Deschrijver;T. Dhaene

  • Advancements in Iterative Methods for Rational Approximation in the Frequency Domain

    D. Deschrijver;B. Gustavsen;T. Dhaene

  • Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks

    Leen De Baets;Chris Develder;Tom Dhaene;Dirk Deschrijver

  • A voltage and current measurement dataset for plug load appliance identification in households

    Roberto Medico;Leen De Baets;Jingkun Gao;Suman Giri

  • Automated Near-Field Scanning Algorithm for the EMC Analysis of Electronic Devices

    D. Deschrijver;F. Vanhee;D. Pissoort;T. Dhaene

  • Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression

    Nicolas Staelens;Dirk Deschrijver;Ekaterina Vladislavleva;Brecht Vermeulen

  • Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial.

    Merima Kulin;Carolina Fortuna;Eli De Poorter;Dirk Deschrijver

  • Adaptive Sampling Algorithm for Macromodeling of Parameterized $S$ -Parameter Responses

    D Deschrijver;K Crombecq;H M Nguyen;T Dhaene

  • On the Bayesian optimization and robustness of event detection methods in NILM

    Leen De Baets;Joeri Ruyssinck;Chris Develder;Tom Dhaene

  • Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning

    Tom Van Steenkiste;Willemijn Groenendaal;Pauline Dreesen;Seulki Lee

  • Shape optimization of a cyclone separator using multi-objective surrogate-based optimization

    Prashant Singh;Ivo Couckuyt;Khairy Elsayed;Khairy Elsayed;Dirk Deschrijver

  • Broadband Rational Macromodeling Based on the Adaptive Frequency Sampling Algorithm and the Partial Element Equivalent Circuit Method

    A. Antonini;D. Deschrijver;T. Dhaene

  • Efficient Algorithm for Passivity Enforcement of $S$ -Parameter-Based Macromodels

    T. Dhaene;D. Deschrijver;N. Stevens

Frequent Co-Authors

Tom Dhaene
Tom Dhaene Ghent University
Wout Joseph
Wout Joseph Ghent University
Luc Martens
Luc Martens Ghent University
Chris Develder
Chris Develder Ghent University
Ingrid Moerman
Ingrid Moerman Ghent University
D. De Zutter
D. De Zutter Ghent University
Giulio Antonini
Giulio Antonini University of L'Aquila
Flavio Canavero
Flavio Canavero Polytechnic University of Turin
Eli De Poorter
Eli De Poorter Ghent University

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