Bert De Coensel

Orcid: 0000-0003-1815-6436

According to our database1, Bert De Coensel authored at least 13 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Map Matching and Lane Detection Based on Markovian Behavior, GIS, and IMU Data.
IEEE Trans. Intell. Transp. Syst., 2022

Enhancing the park experience by giving visitors control over the park's soundscape.
J. Ambient Intell. Smart Environ., 2022

A scalable, self-supervised calibration and confounder removal model for opportunistic monitoring of road degradation.
Comput. Aided Civ. Infrastructure Eng., 2022

2020
Imprinted Polymer-Based Guided Mode Resonance Grating Strain Sensors.
Sensors, 2020

Detection of road pavement quality using statistical clustering methods.
J. Intell. Inf. Syst., 2020

2014
Long-term learning behavior in a recurrent neural network for sound recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A biologically inspired recurrent neural network for sound source recognition incorporating auditory attention.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Effects of traffic signal coordination on noise and air pollutant emissions.
Environ. Model. Softw., 2012

Attention-driven auditory stream segregation using a SOM coupled with an excitatory-inhibitory ANN.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2010
Context-dependent environmental sound monitoring using SOM coupled with LEGION.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
A model for long-term environmental sound detection.
Proceedings of the International Joint Conference on Neural Networks, 2008

Clustering outdoor soundscapes using fuzzy ants.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An Agent Based Modeling Approach to Explain the Perception of Environmental Stressors.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007


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