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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
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last updated on 2024-08-23 19:20 CEST by the dblp team
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