![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Dirk Deschrijver
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j21]Lennert Bontinck
, Karel Fonteyn
, Tom Dhaene
, Dirk Deschrijver
:
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals. Expert Syst. Appl. 255: 124775 (2024) - 2023
- [c30]Thomas T. Kok, Willemijn Groenendaal, Dolores Blanco-Almazán, Lien Lijnen, Christophe Smeets, David Ruttens, John F. Morales, Tom Dhaene, Femke Ongenae, Sofie Van Hoecke, Dirk Deschrijver:
Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. KDH@IJCAI 2023 - 2022
- [j20]Diego Nieves Avendano
, Nathan Vandermoortele, Colin Soete
, Pieter Moens
, Agusmian Partogi Ompusunggu
, Dirk Deschrijver
, Sofie Van Hoecke
:
A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation. Sensors 22(4): 1590 (2022) - [c29]Yolanda Castillo-Escario, Lorin Werthen-Brabants
, Willemijn Groenendaal, Dirk Deschrijver, Raimon Jané:
Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size. EMBC 2022: 666-669 - 2021
- [j19]Roberto Medico
, Joeri Ruyssinck, Dirk Deschrijver
, Tom Dhaene:
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification. Adv. Data Anal. Classif. 15(4): 911-936 (2021) - 2020
- [j18]Tom Van Steenkiste
, Willemijn Groenendaal
, Pauline Dreesen
, Seulki Lee, Susie Klerkx
, Ruben de Francisco, Dirk Deschrijver
, Tom Dhaene
:
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J. Biomed. Health Informatics 24(9): 2589-2598 (2020) - [c28]Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. ML4H@NeurIPS 2020: 355-366
2010 – 2019
- 2019
- [j17]Tom Van Steenkiste
, Joachim van der Herten, Dirk Deschrijver
, Tom Dhaene:
ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. 35(2): 537-550 (2019) - [j16]Tom Van Steenkiste
, Willemijn Groenendaal
, Dirk Deschrijver
, Tom Dhaene
:
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. IEEE J. Biomed. Health Informatics 23(6): 2354-2364 (2019) - [c27]Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. BNAIC/BENELEARN 2019 - [c26]Aren Maes, Tom Van Steenkiste, Tom Dhaene, Dirk Deschrijver:
A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. BNAIC/BENELEARN 2019 - [c25]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. BNAIC/BENELEARN 2019 - [c24]Tom Van Steenkiste, Dirk Deschrijver
, Tom Dhaene:
Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. CBMS 2019: 373-378 - [c23]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. ML4H@NeurIPS 2019: 112-125 - [c22]Jens Jocqué, Tom Van Steenkiste, Pieter Stroobant, Rémi Delanghe, Dirk Deschrijver
, Tom Dhaene:
Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. WSC 2019: 656-667 - [i4]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Generating an Explainable ECG Beat Space With Variational Auto-Encoders. CoRR abs/1911.04898 (2019) - [i3]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. CoRR abs/1912.06879 (2019) - 2018
- [c21]Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver
, Chris Develder:
Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. e-Energy 2018: 408-410 - [c20]Tom Van Steenkiste, Willemijn Groenendaal, Joeri Ruyssinck, Pauline Dreesen, Susie Klerkx, Christophe Smeets, Ruben de Francisco, Dirk Deschrijver
, Tom Dhaene:
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. EMBC 2018: 449-452 - [c19]Tom Van Steenkiste, Joeri Ruyssinck, Olivier Janssens, Baptist Vandersmissen, Florian Vandecasteele, Pieter Devolder
, Eric Achten, Sofie Van Hoecke, Dirk Deschrijver
, Tom Dhaene:
Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. EMBC 2018: 674-677 - [c18]Diego Nieves Avendano
, Joeri Ruyssinck, Steven Vandekerckhove, Sofie Van Hoecke, Dirk Deschrijver
:
Data-driven Optimization of Energy Efficiency and Comfort in an Apartment. IEEE Conf. on Intelligent Systems 2018: 174-182 - [c17]Leen De Baets, Tom Dhaene, Dirk Deschrijver, Mario Berges, Chris Develder:
VI-Based Appliance Classification Using Aggregated Power Consumption Data. SMARTCOMP 2018: 179-186 - 2017
- [j15]Prashant Singh
, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver
, Tom Dhaene:
Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. J. Optim. Theory Appl. 175(1): 172-193 (2017) - [j14]David Plets, Krishnan Chemmangat
, Dirk Deschrijver
, Michael T. Mehari, Selvakumar Ulaganathan, Mostafa Pakparvar, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman
, Emmeric Tanghe:
Surrogate modeling based cognitive decision engine for optimization of WLAN performance. Wirel. Networks 23(8): 2347-2359 (2017) - [c16]Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver
, Jingkun Gao, Mario Berges:
Handling imbalance in an extended PLAID. SustainIT 2017: 32-36 - [c15]Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver
:
Automated classification of appliances using elliptical fourier descriptors. SmartGridComm 2017: 153-158 - 2016
- [j13]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. 99: 137-146 (2016) - [j12]Merima Kulin
, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver
, Ingrid Moerman
:
Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial. Sensors 16(6): 790 (2016) - [j11]Michael Tetemke Mehari
, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver
, Günter Vermeeren, David Plets, Wout Joseph, Luc Martens, Tom Dhaene, Ingrid Moerman
:
Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility. IEEE Trans. Wirel. Commun. 15(10): 6662-6675 (2016) - [j10]Selvakumar Ulaganathan, Dirk Deschrijver
, Mostafa Pakparvar, Ivo Couckuyt, Wei Liu, David Plets, Wout Joseph, Tom Dhaene, Luc Martens, Ingrid Moerman
:
Building accurate radio environment maps from multi-fidelity spectrum sensing data. Wirel. Networks 22(8): 2551-2562 (2016) - [c14]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC 2016: 1634-1641 - [i2]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR abs/1608.04550 (2016) - [i1]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR abs/1608.05225 (2016) - 2015
- [j9]Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver
, Jono Vanhie-Van Gerwen, Daan Pareit, Tom Dhaene, Ingrid Moerman
:
Efficient global optimization of multi-parameter network problems on wireless testbeds. Ad Hoc Networks 29: 15-31 (2015) - [j8]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments. SIAM J. Sci. Comput. 37(2) (2015) - [c13]Mostafa Pakparvar, David Plets, Jeroen Hoebeke, Dirk Deschrijver
, Michael T. Mehari, Tom Dhaene, Ingrid Moerman
, Luc Martens, Wout Joseph:
Throughput optimization strategies for large-scale wireless LANs. BMSB 2015: 1-6 - [c12]Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver
, Eric Laermans, Tom Dhaene:
A Matlab Toolbox for Kriging Metamodelling. ICCS 2015: 2708-2713 - [c11]Mostafa Pakparvar, Krishnan Chemmangat, Dirk Deschrijver
, Michael T. Mehari, David Plets, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman
, Luc Martens, Wout Joseph:
Throughput optimization of wireless LANs by surrogate model based cognitive decision making. WCNC Workshops 2015: 188-193 - [c10]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC 2015: 3166-3167 - 2014
- [j7]Mostafa Pakparvar, David Plets, Emmeric Tanghe, Dirk Deschrijver
, Wei Liu, Krishnan Chemmangat
, Ingrid Moerman
, Tom Dhaene, Luc Martens, Wout Joseph:
A cognitive QoS management framework for WLANs. EURASIP J. Wirel. Commun. Netw. 2014: 191 (2014) - [j6]Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization. J. Glob. Optim. 60(3): 575-594 (2014) - [c9]Joachim van der Herten
, Dirk Deschrijver
, Tom Dhaene:
Fuzzy local linear approximation-based sequential design. CIES 2014: 17-21 - [c8]Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver
, Jono Vanhie-Van Gerwen, Tom Dhaene, Ingrid Moerman
:
Efficient multi-objective optimization of wireless network problems on wireless testbeds. CNSM 2014: 212-217 - [c7]Prashant Singh, Francesco Ferranti, Dirk Deschrijver
, Ivo Couckuyt, Tom Dhaene:
Classification aided domain reduction for high dimensional optimization. WSC 2014: 3928-3939 - 2013
- [j5]Ivo Couckuyt, Jef Aernouts, Dirk Deschrijver
, Filip De Turck
, Tom Dhaene:
Identification of quasi-optimal regions in the design space using surrogate modeling. Eng. Comput. 29(2): 127-138 (2013) - [j4]Steven Latré
, Wim Van de Meerssche, Dirk Deschrijver
, Dimitri Papadimitriou, Tom Dhaene, Filip De Turck
:
A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. Int. J. Netw. Manag. 23(1): 16-40 (2013) - [j3]Nicolas Staelens, Dirk Deschrijver
, Ekaterina Vladislavleva, Brecht Vermeulen, Tom Dhaene, Piet Demeester:
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression. IEEE Trans. Circuits Syst. Video Technol. 23(8): 1322-1333 (2013) - [c6]Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver
, Tom Dhaene:
The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON 2013: 1-4 - [c5]Dimitri de Jonghe, Dirk Deschrijver, Tom Dhaene, Georges G. E. Gielen:
Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories. DATE 2013: 1448-1453 - [c4]Prashant Singh, Dirk Deschrijver
, Tom Dhaene:
A balanced sequential design strategy for global surrogate modeling. WSC 2013: 2172-2179 - 2012
- [c3]Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [j2]Karel Crombecq, Dirk Gorissen, Dirk Deschrijver
, Tom Dhaene:
A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments. SIAM J. Sci. Comput. 33(4): 1948-1974 (2011) - 2010
- [c2]Alessandro Chinea, Stefano Grivet-Talocia, Dirk Deschrijver, Tom Dhaene, Luc Knockaert:
On the construction of guaranteed passive macromodels for high-speed channels. DATE 2010: 1142-1147
2000 – 2009
- 2009
- [j1]Wouter Hendrickx, Dirk Deschrijver
, Luc Knockaert, Tom Dhaene:
Magnitude Vector Fitting to interval data. Math. Comput. Simul. 80(3): 572-580 (2009) - 2004
- [c1]Dirk Deschrijver, Tom Dhaene, Jan Broeckhove:
Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives. International Conference on Computational Science 2004: 443-450
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-23 18:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint