last call for paper / IEEE Workshop ** Environmental Acoustic Data Mining ** (EADM)
joint to IEEE Conf. on Data Mining (ICDM) Atlantic City, USA, Nov. 14 2015 Full paper (extended) deadline : August 9. Challenge, classification on Alpin recordings runs sub. : Sep. 21. http://sabiod.univ-tln.fr/eadm/ ---------------------- IEEE EADM aims to bring together researchers and professionals from worldwide academia and industry for showcasing, discussing, and reviewing the whole spectrum of scientific and technological opportunities, challenges, solutions, and emerging applications in Environmental Acoustic Data Mining. We encourage work based on interdisciplinary research, such as computer science and ecology, where quantitative evidence is available demonstrating the mutual advantage of such an approach. Papers are welcome on a wide range of topics EADM : Environmental Acoustic Data (EAD) acquisition; EAD analysis and event detection; Habitat and acoustic comparisons; Evolution and dynamics of EAD; Applications of EAD analysis and mining; Acoustic scene analysis in EAD; Modeling and analysis of multidimensional EAD; Anomaly detection in EAD; Collective analysis EAD / Crowdsourcing; Data mining and machine learning on EAD; Deep learning for analysis in EAD; Unsupervised learning in EAD; Data mining on dynamic, heterogeneous and large-scale EAD; Real-world applications of EAD; Anthropic noise estimation in EAD; Habitat quality and biodiversity estimation in EAD; Surveillance applications of EAD. An original challenge is offered on Alpin bioacoustics (11 categories), applied to continuous sound recordings in an integral reserve. Details : http://sabiod.univ-tln.fr/eadm/ All accepted papers will be included in the proceedings published by the IEEE Computer Society Press. Extended deadline for full paper : August 9. Deadline for submission of runs by the participants to the challenge: Sept. 21. Organizers : Prof. Hervé Glotin, FR Prof. Gianni Pavan,IT Dr. Peter Dugan,USA Dr. Zhong-Qiu Zhao, CN EADM is supported by MI MASTODONS CNRS -- H. Glotin Univ. Toulon, IUF Paris, LSIS UMR 7296
