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ORCIDGert Van Dijck
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2010 – 2019
- 2012
[j6]Gert Van Dijck, Karsten Seidl, Oliver Paul, Patrick Ruther, Marc M. Van Hulle, Reinoud Maex
:
Enhancing the Yield of High-Density electrode Arrays through Automated electrode Selection. Int. J. Neural Syst. 22(1): 1-19 (2012)- 2011
- [j5]Gert Van Dijck, Marc M. Van Hulle:
Joint Markov Blankets in Feature Sets Extracted from Wavelet Packet Decompositions. Entropy 13(7): 1403-1424 (2011) - [j4]Gert Van Dijck, Marc M. Van Hulle:
Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. Sensors 11(6): 5695-5715 (2011) - 2010
- [j3]Gert Van Dijck, Marc M. Van Hulle:
Increasing and Decreasing Returns and Losses in Mutual Information Feature Subset Selection. Entropy 12(10): 2144-2170 (2010) - [c11]Gert Van Dijck, Ahmad Jezzini, Stanislav Herwik, Sebastian Kisban, Karsten Seidl, Oliver Paul, Patrick Ruther, Francesca Ugolotti Serventi, Leonardo Fogassi, Marc M. Van Hulle, Maria Alessandra Umiltà:
Toward Automated Electrode Selection in the Electronic Depth Control Strategy for Multi-unit Recordings. ICONIP (2) 2010: 17-25
2000 – 2009
- 2009
- [j2]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Posterior probability profiles for the automated assessment of the recovery of patients with stroke from activity of daily living tasks. Artif. Intell. Medicine 46(3): 233-249 (2009) - [j1]Gert Van Dijck, Martine Wevers, Marc M. Van Hulle:
Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals. Int. J. Wavelets Multiresolution Inf. Process. 7(4): 513-534 (2009) - 2008
- [b1]Gert Van Dijck:
Information Theoretic Approach to Feature Selection and Redundancy Assessment (Informatietheoretische benadering voor selectie van kenmerken en inschatting van redundantie) ; Information Theoretic Approach to Feature Selection and Redundancy Assessment. Katholieke Universiteit Leuven, Belgium, 2008 - 2007
- [c10]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Posterior Probability Profiles for the Automated Assessment of the Recovery of Stroke Patients. AAAI 2007: 347-353 - [c9]Gert Van Dijck, Jo Van Vaerenbergh, Marc M. Van Hulle:
Information Theoretic Derivations for Causality Detection: Application to Human Gait. ICANN (2) 2007: 159-168 - [c8]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
A Novel Criterion for Onset Detection: Differential Information Redundancy with Application to Human Movement Initiation. ICDM 2007: 673-678 - [c7]Gert Van Dijck, Marc M. Van Hulle:
Speeding Up Feature Subset Selection Through Mutual Information Relevance Filtering. PKDD 2007: 277-287 - 2006
- [c6]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
Statistically Rigorous Human Movement Onset Detection with the Maximal Information Redundancy Criterion. EMBC 2006: 2474-2477 - [c5]Gert Van Dijck, Marc M. Van Hulle, Jo Van Vaerenbergh:
Hybrid Feature Subset Selection for the Quantitative Assessment of Skills of Stroke Patients in Activity of Daily Living Tasks. EMBC 2006: 5699-5703 - [c4]Gert Van Dijck, Marc M. Van Hulle:
Speeding Up the Wrapper Feature Subset Selection in Regression by Mutual Information Relevance and Redundancy Analysis. ICANN (1) 2006: 31-40 - [c3]Gert Van Dijck, Marc M. Van Hulle:
Onset Detection through Maximal Redundancy Detection. ICPR (1) 2006: 945-949 - 2004
- [c2]Gert Van Dijck, Marc M. Van Hulle, Martine Wevers:
Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a real-case Application. International Conference on Computational Intelligence 2004: 34-38 - [c1]Gert Van Dijck, Martine Wevers, Marc M. Van Hulle:
Corrosion Time Series Classification using the Continuous Wavelet Transform and MML Density Estimation. International Conference on Computational Intelligence 2004: 39-43
Coauthor Index
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