Dirk Deschrijver

60 papers A 2B 5C 1Misc 6Journal 29Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Augmentation-Free Longitudinal Modeling Through Structuring Whitened Embeddings. IEEE Access Karel Fonteyn, Lennert Bontinck, Tom Dhaene, Dirk Deschrijver
2025	J	`jnl`	Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks. IEEE Trans. Biomed. Eng. Lorin Werthen-Brabants, Yolanda Castillo-Escario, Willemijn Groenendaal, Raimon Jané, Tom Dhaene, Dirk Deschrijver
2025	J	`jnl`	Interpretable machine learning models for COPD ease of breathing estimation. Medical Biol. Eng. Comput. Thomas T. Kok, John F. Morales, Dirk Deschrijver, Dolores Blanco-Almazán, Willemijn Groenendaal, David Ruttens, Christophe Smeets, Vojkan Mihajlovic, Femke Ongenae, Sofie Van Hoecke
2025	J	`jnl`	The role of trustworthy and reliable AI for multiple sclerosis. Frontiers Digit. Health Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver
2024	J	`jnl`	ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals. Expert Syst. Appl. Lennert Bontinck, Karel Fonteyn, Tom Dhaene, Dirk Deschrijver
2024	C	`conf`	Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits. ICMLA Karel Fonteyn, Tom Dhaene, Dirk Deschrijver
2023	—	`conf`	Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. KDH@IJCAI 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
2022	J	`jnl`	A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation. Sensors Diego Nieves Avendano, Nathan Vandermoortele, Colin Soete, Pieter Moens, Agusmian Partogi Ompusunggu, Dirk Deschrijver, Sofie Van Hoecke
2022	—	`conf`	Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size. EMBC Yolanda Castillo-Escario, Lorin Werthen-Brabants, Willemijn Groenendaal, Dirk Deschrijver, Raimon Jané
2021	J	`jnl`	Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification. Adv. Data Anal. Classif. Roberto Medico, Joeri Ruyssinck, Dirk Deschrijver, Tom Dhaene
2020	—	`conf`	Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. ML4H@NeurIPS Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2020	J	`jnl`	Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J. Biomed. Health Informatics Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene
2019	—	`conf`	A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. BNAIC/BENELEARN Aren Maes, Tom Van Steenkiste, Tom Dhaene, Dirk Deschrijver
2019	J	`jnl`	ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. Tom Van Steenkiste, Joachim van der Herten, Dirk Deschrijver, Tom Dhaene
2019	J	`jnl`	Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. IEEE J. Biomed. Health Informatics Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver, Tom Dhaene
2019	—	`conf`	Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. BNAIC/BENELEARN Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2019	—	`conf`	Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. BNAIC/BENELEARN Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2019	J	`jnl`	Generating an Explainable ECG Beat Space With Variational Auto-Encoders. CoRR Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2019	B	`conf`	Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. CBMS Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2019	Misc	`conf`	Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. WSC Jens Jocqué, Tom Van Steenkiste, Pieter Stroobant, Rémi Delanghe, Dirk Deschrijver, Tom Dhaene
2019	—	`conf`	Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. ML4H@NeurIPS Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2019	J	`jnl`	Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. CoRR Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
2018	—	`conf`	Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. EMBC Tom Van Steenkiste, Joeri Ruyssinck, Olivier Janssens, Baptist Vandersmissen, Florian Vandecasteele, Pieter Devolder, Eric Achten, Sofie Van Hoecke, Dirk Deschrijver, Tom Dhaene
2018	—	`conf`	Data-driven Optimization of Energy Efficiency and Comfort in an Apartment. IEEE Conf. on Intelligent Systems Diego Nieves Avendano, Joeri Ruyssinck, Steven Vandekerckhove, Sofie Van Hoecke, Dirk Deschrijver
2018	—	`conf`	Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. e-Energy Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder
2018	—	`conf`	Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. EMBC Tom Van Steenkiste, Willemijn Groenendaal, Joeri Ruyssinck, Pauline Dreesen, Susie Klerkx, Christophe Smeets, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene
2018	B	`conf`	VI-Based Appliance Classification Using Aggregated Power Consumption Data. SMARTCOMP Leen De Baets, Tom Dhaene, Dirk Deschrijver, Mario Berges, Chris Develder
2017	—	`conf`	Automated classification of appliances using elliptical fourier descriptors. SmartGridComm Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver
2017	—	`conf`	Handling imbalance in an extended PLAID. SustainIT Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver, Jingkun Gao, Mario Berges
2017	J	`jnl`	Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. J. Optim. Theory Appl. Prashant Singh, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, Tom Dhaene
2017	J	`jnl`	Surrogate modeling based cognitive decision engine for optimization of WLAN performance. Wirel. Networks David Plets, Krishnan Chemmangat, Dirk Deschrijver, Michael T. Mehari, Selvakumar Ulaganathan, Mostafa Pakparvar, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman, Emmeric Tanghe
2016	J	`jnl`	Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2016	J	`jnl`	Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2016	J	`jnl`	Building accurate radio environment maps from multi-fidelity spectrum sensing data. Wirel. Networks Selvakumar Ulaganathan, Dirk Deschrijver, Mostafa Pakparvar, Ivo Couckuyt, Wei Liu, David Plets, Wout Joseph, Tom Dhaene, Luc Martens, Ingrid Moerman
2016	J	`jnl`	Data-Driven Design of Intelligent Wireless Networks: An Overview and Tutorial. Sensors Merima Kulin, Carolina Fortuna, Eli De Poorter, Dirk Deschrijver, Ingrid Moerman
2016	J	`jnl`	Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility. IEEE Trans. Wirel. Commun. Michael Tetemke Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Günter Vermeeren, David Plets, Wout Joseph, Luc Martens, Tom Dhaene, Ingrid Moerman
2016	J	`jnl`	Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2016	B	`conf`	Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2015	J	`jnl`	A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments. SIAM J. Sci. Comput. Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2015	Misc	`conf`	A Matlab Toolbox for Kriging Metamodelling. ICCS Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene
2015	Misc	`conf`	Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2015	J	`jnl`	Efficient global optimization of multi-parameter network problems on wireless testbeds. Ad Hoc Networks Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Daan Pareit, Tom Dhaene, Ingrid Moerman
2015	—	`conf`	Throughput optimization of wireless LANs by surrogate model based cognitive decision making. WCNC Workshops Mostafa Pakparvar, Krishnan Chemmangat, Dirk Deschrijver, Michael T. Mehari, David Plets, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman, Luc Martens, Wout Joseph
2015	—	`conf`	Throughput optimization strategies for large-scale wireless LANs. BMSB Mostafa Pakparvar, David Plets, Jeroen Hoebeke, Dirk Deschrijver, Michael T. Mehari, Tom Dhaene, Ingrid Moerman, Luc Martens, Wout Joseph
2014	J	`jnl`	A cognitive QoS management framework for WLANs. EURASIP J. Wirel. Commun. Netw. Mostafa Pakparvar, David Plets, Emmeric Tanghe, Dirk Deschrijver, Wei Liu, Krishnan Chemmangat, Ingrid Moerman, Tom Dhaene, Luc Martens, Wout Joseph
2014	Misc	`conf`	Classification aided domain reduction for high dimensional optimization. WSC Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
2014	B	`conf`	Efficient multi-objective optimization of wireless network problems on wireless testbeds. CNSM Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Tom Dhaene, Ingrid Moerman
2014	J	`jnl`	Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization. J. Glob. Optim. Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2014	—	`conf`	Fuzzy local linear approximation-based sequential design. CIES Joachim van der Herten, Dirk Deschrijver, Tom Dhaene
2013	Misc	`conf`	A balanced sequential design strategy for global surrogate modeling. WSC Prashant Singh, Dirk Deschrijver, Tom Dhaene
2013	J	`jnl`	A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. Int. J. Netw. Manag. Steven Latré, Wim Van de Meerssche, Dirk Deschrijver, Dimitri Papadimitriou, Tom Dhaene, Filip De Turck
2013	J	`jnl`	Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression. IEEE Trans. Circuits Syst. Video Technol. Nicolas Staelens, Dirk Deschrijver, Ekaterina Vladislavleva, Brecht Vermeulen, Tom Dhaene, Piet Demeester
2013	A	`conf`	Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories. DATE Dimitri de Jonghe, Dirk Deschrijver, Tom Dhaene, Georges G. E. Gielen
2013	J	`jnl`	Identification of quasi-optimal regions in the design space using surrogate modeling. Eng. Comput. Ivo Couckuyt, Jef Aernouts, Dirk Deschrijver, Filip De Turck, Tom Dhaene
2013	—	`conf`	The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene
2012	B	`conf`	Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. IEEE Congress on Evolutionary Computation Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
2011	J	`jnl`	A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments. SIAM J. Sci. Comput. Karel Crombecq, Dirk Gorissen, Dirk Deschrijver, Tom Dhaene
2010	A	`conf`	On the construction of guaranteed passive macromodels for high-speed channels. DATE Alessandro Chinea, Stefano Grivet-Talocia, Dirk Deschrijver, Tom Dhaene, Luc Knockaert
2009	J	`jnl`	Magnitude Vector Fitting to interval data. Math. Comput. Simul. Wouter Hendrickx, Dirk Deschrijver, Luc Knockaert, Tom Dhaene
2004	Misc	`conf`	Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives. International Conference on Computational Science Dirk Deschrijver, Tom Dhaene, Jan Broeckhove