Dorian Cazau

According to our database, Dorian Cazau authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

From citizen science to AI models: Advancing cetacean vocalization automatic detection through multi-annotator campaigns.

Gabriel Dubus, Dorian Cazau, Maëlle Torterotot, Anatole Gros-Martial, Paul Nguyen Hong Duc, Olivier Adam

Ecol. Informatics, 2024

2023

Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea.

Dorian Cazau, Paul Nguyen Hong Duc, J.-N. Druon, S. Matwins, Ronan Fablet

Mach. Learn., June, 2023

Multi-Modal Learning-based Reconstruction of High-Resolution Spatial Wind Speed Fields.

Matteo Zambra, Nicolas Farrugia, Dorian Cazau, Alexandre Gensse, Ronan Fablet

CoRR, 2023

2022

Learning-based estimation of in-situ wind speed from underwater acoustics.

Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet

CoRR, 2022

PipaSet and TEAS: A Multimodal Dataset and Annotation Platform for Automatic Music Transcription and Expressive Analysis Dedicated to Chinese Traditional Plucked String Instrument Pipa.

Yuancheng Wang, Yuyang Jing, Wei Wei, Dorian Cazau, Olivier Adam, Qiao Wang

IEEE Access, 2022

2021

Assessing inter-annotator agreement from collaborative annotation campaign in marine bioacoustics.

Paul Nguyen Hong Duc, Maëlle Torterotot, Flore Samaran, Paul R. White, Odile Gérard, Olivier Adam, Dorian Cazau

Ecol. Informatics, 2021

2020

MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float.

Sébastien Bonnieux, Dorian Cazau, Sébastien Mosser, Mireille Blay-Fornarino, Yann Hello, Guust Nolet

Sensors, 2020

Multi-modal deep learning models for ocean wind speed estimation.

Clémentin Boittiaux, Paul Nguyen Hong Duc, Nicolas Longépé, Sara Pensieri, Roberto Bozzano, Dorian Cazau

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

2019

Wind Speed Estimation Using Acoustic Underwater Glider in a Near-Shore Marine Environment.

Dorian Cazau, Julien Bonnel, Mark Baumgartner

IEEE Trans. Geosci. Remote. Sens., 2019

Development details and computational benchmarking of DEPAM.

Dorian Cazau

CoRR, 2019

Theory-plus-code documentation of the DEPAM workflow for soundscape description.

Dorian Cazau

CoRR, 2019

2017

Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network.

Dorian Cazau, Riwal Lefort, Julien Bonnel, Jean-Luc Zarader, Olivier Adam

CoRR, 2017

Calibration of a two-state pitch-wise HMM method for note segmentation in Automatic Music Transcription systems.

Dorian Cazau, Yuancheng Wang, Olivier Adam, Qiao Wang, Grégory Nuel

CoRR, 2017

Deep scattering transform applied to note onset detection and instrument recognition.

Dorian Cazau, G. Revillon, Olivier Adam

CoRR, 2017

Investigation on the use of Hidden-Markov Models in automatic transcription of music.

Dorian Cazau, Grégory Nuel

CoRR, 2017

Improving Note Segmentation in Automatic Piano Music Transcription Systems with a Two-State Pitch-Wise HMM Method.

Dorian Cazau, Yuancheng Wang, Olivier Adam, Qiao Wang, Grégory Nuel

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017