Dirk Deschrijver

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 39

Top Topics

Optimization Strategies

Symbolic Regression

Top Venues

BNAIC/BENELEARN

Publications

Lennert Bontinck, Karel Fonteyn, Tom Dhaene, Dirk Deschrijver
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals. Expert Syst. Appl. 255 (2024)
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)
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) (2022)
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)
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) (2021)
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)
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) (2020)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. CBMS (2019)
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)
Tom Van Steenkiste, Joachim van der Herten, Dirk Deschrijver, Tom Dhaene
ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. 35 (2) (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. CoRR (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Generating an Explainable ECG Beat Space With Variational Auto-Encoders. CoRR (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. ML4H@NeurIPS (2019)
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)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. BNAIC/BENELEARN (2019)
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) (2019)
Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. BNAIC/BENELEARN (2019)
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)
Leen De Baets, Tom Dhaene, Dirk Deschrijver, Mario Berges, Chris Develder
VI-Based Appliance Classification Using Aggregated Power Consumption Data. SMARTCOMP (2018)
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)
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)
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)
Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver
Automated classification of appliances using elliptical fourier descriptors. SmartGridComm (2017)
Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver, Jingkun Gao, Mario Berges
Handling imbalance in an extended PLAID. SustainIT (2017)
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) (2017)
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) (2017)
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) (2016)
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) (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. 99 (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR (2016)
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) (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR (2016)
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)
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)
Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene
A Matlab Toolbox for Kriging Metamodelling. ICCS (2015)
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 (2015)
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)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC (2015)
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 (2014)
Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
Classification aided domain reduction for high dimensional optimization. WSC (2014)
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) (2014)
Joachim van der Herten, Dirk Deschrijver, Tom Dhaene
Fuzzy local linear approximation-based sequential design. CIES (2014)
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)
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) (2013)
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) (2013)
Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene
The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON (2013)
Prashant Singh, Dirk Deschrijver, Tom Dhaene
A balanced sequential design strategy for global surrogate modeling. WSC (2013)
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) (2013)
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)
Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. IEEE Congress on Evolutionary Computation (2012)
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) (2011)
Alessandro Chinea, Stefano Grivet-Talocia, Dirk Deschrijver, Tom Dhaene, Luc Knockaert
On the construction of guaranteed passive macromodels for high-speed channels. DATE (2010)
Wouter Hendrickx, Dirk Deschrijver, Luc Knockaert, Tom Dhaene
Magnitude Vector Fitting to interval data. Math. Comput. Simul. 80 (3) (2009)
Dirk Deschrijver, Tom Dhaene, Jan Broeckhove
Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives. International Conference on Computational Science (2004)