[MARMAM] 2018 DCLDE Workshop in Paris, France

Olivier ADAM olivier.adam at upmc.fr
Fri Apr 13 13:08:40 PDT 2018


Dear MARMAM Community,

Here are some news about the 8th session of the International Workshop  
on Detection, Classification, Localization, and Density Estimation of  
marine mammals using passive acoustics (2018 DCLDE Workshop) that will  
be held from 4 to 8 June 2018, in Paris, FRANCE.

1. Following some requests, we have decided to postpone the deadline  
for abstract submission; it is now April 18, 2018!
You will have some more days to finalize your abstract and to send it to us.
Then, the notification for acceptance will be given at the end of this  
month, so you will have time to prepare your venue to Paris.

2. The challenge to automatically detect acoustic events is already  
open. You can download the dataset right now and participate to this  
challenge!
Try to be the winner and to win the 1st prize of 150 euros!

3. The 2 thematic tutorial sessions will be simultaneously held on  
Monday, June 4th from 8:30 am to 6 pm. So please select one:
- Machine learning (Deep learning) for Bioacoustics : learning  
representation, organized by Prof. H. Glotin, LIS, University of  
Toulon, France and DYNI team. Detection signal processing based versus  
Autoencoder ; Learning representation on Monophonic versus  
Stereophonic recordings ; practical examples and exercises on PC with  
TensorFlow will be given with the BOMBYX long term submarine stereo  
dataset : http://sis.univ-tln.fr/~glotin/SABIOD/VAMOS/ , mostly on  
weak transient biosignals (distant Physeter and others).
- A primer on density estimation from passive acoustic data, organized  
by Dr. L. Thomas, Dr. T. Marques, and Dr. D. Harris, St Andrews, UK

No extra fees are required, but you need to have a pass to access the  
University. So, if you want to participate in a session, please send  
right now an email to Olivier Adam, olivier.adam at upmc.fr


You can have all information directly on our website:
http://sabiod.univ-tln.fr/DCLDE/

Sincerely,
Olivier ADAM


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