Sample of recent references are provided for each of the organizing committee members including some general, relative references.

Pr. Hervé Glotin

Glotin H. "Sparse Complex Scene Analysis" IUF projet 2011-2016

Chamroukhi F., H. Glotin, "Mixture model-based functional discriminant analysis for curve classification" Int.Joint Conf on Neural Networks, IJCNN, 2012.

Machart P., Peel T., Antoine S., Ralaivola, H. Glotin "Stochastic Low-Rank Kernel Learning for Regression", International Conference on Machine Learning, ICML 2011

Razik J. , S Paris, H Glotin, "Broadcast News Phoneme Recognition by Sparse Coding", In Patt. Rec. App. & Methods, ICPRAM 2012

Pace, F., Benard, F., Glotin, H., Adam, O., and White, P., Subunit definition for humpback whale call classification, Applied Acoustics, ed. Elsevier, 11(71), p. 1107-1114, 2010

Glotin H, Caudal F, Giraudet P. Whales cocktail party: a real-time tracking of multiple whales, in: International Journal Canadian Acoustics, vol. 36, n° 1, pp. 139-145, ISSN 0711-6659, 2008

Giraudet P. Glotin H. Real-time 3D tracking of whales by precise and echo-robust TDOAs of clicks extracted from 5 bottom-mounted hydrophones records of the AUTEC, Applied Acoustics, vol. 67, n° 11-12, 2006

Benard F., H. Glotin, Automatic indexing and content analysis of whale recordings and XML representation, in: EURASIP Sp. Issue, Advances in Signal Processing for Maritime Applications, 2010

Abeille, Glotin H, Giraudet P, G. Pavan, Robust sample level automatic determination of the inter pulse interval of physeter macrocephalus click for biopopulation study, submitted to PLos ONE

Pr. Yann LeCun

Farabet, Clement and Couprie, Camille and Najman, Laurent and LeCun, Yann, "Learning Hierarchical Features for Scene Labeling", IEEE Transactions on Pattern Analysis and Machine Intelligence", 2013, in press

Sermanet, Pierre and Chintala, Soumith and LeCun, Yann, "Convolutional Neural Networks Applied to House Numbers Digit Classification", International Conference on Pattern Recognition (ICPR 2012), 2012

LeCun, Yann, "Learning Invariant Feature Hierarchies", European Conference on Computer Vision (ECCV 2012), Workshop on Biological and Computer Vision Interfaces, Springer, Lecture Notes in Computer Science, 7583, "Workshop on Biological and Computer Vision Interfaces (invited paper)", ISBN 978-3-642-33862-5, pp. 496-505, 2012

Szlam, Arthur and Gregor, Karol and LeCun, Yann, "Fast Approximations to Structured Sparse Coding and Applications to Object Classification", Fitzgibbon, Andrew and Lazebnik, Svetlana and Perona, Pietro and Sato, Yoichi and Schmid, Cordelia, European Conference on Computer Vision (ECCV 2012), Springer, "Lecture Notes in Computer Science", vol. 7576, ISBN 978-3-642-33714-7, pp. 200-213, 2012

Alvarez, Jose M. and Gevers, Theo and LeCun, Yann and Lopez, Antonio M., "Road Scene Segmentation from a Single Image", Fitzgibbon, Andrew and Lazebnik, Svetlana and Perona, Pietro and Sato, Yoichi and Schmid, Cordelia, European Conference on Computer Vision (ECCV 2012), Springer, Lecture Notes in Computer Science, vol. 7578, pp. 376-389, 2012

Mirowski, P. and LeCun, Y., "Statistical Machine Learning and Dissolved Gas Analysis: A Review", vol. 27, num. 4, pp. 1791-1799, IEEE Transactions on Power Delivery, October 2012

Farabet, Clement and Couprie, Camille and Najman, Laurent and LeCun, Yann, "Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers", Proc. International Conference on Machine learning (ICML'12), 2012

Pr. Chris Clark

Bass, A.H. and Clark, C.W. 2002. The physical acoustics of underwater sound communication. In Acoustic Communication, edited by Simmons, Andrea M., Fay, Richard R., and Popper, Arthur N. (Springer, New York), pp. 15-64.

Clark, C. W., Ellison, W. T., Southall, B. L., Hatch, L., Van Parijs, S., Frankel, A., and Ponirakis. 2009. Acoustic Masking in Marine Ecosystems: Intuitions, Analysis, and Implications. Mar. Ecol. Progr. Ser. 395:201-222.

Clark, C. W., Brown, M. W. and Corkeron, P. 2010. Visual and acoustic surveys for North Atlantic right whales, Eubalaena glacialis, in Cape Cod Bay, Massachusetts, 2001-2005: Management implications. Marine Mammal Science 26:837-854.

Clark, C.W., Gillespie, D., Nowacek, D.P., and Parks, S.E. 2007. Listening to Their World: Acoustics for Monitoring and Protecting Right Whales in an Urbanized Ocean. In: The Urban Whale (Eds. S. Kraus and R. Rolland). Harvard University Press, Cambridge, MA. pp. 333-357.

Di Iorio L., Clark C. W. 2009. Exposure to seismic survey alters blue whale acoustic communication. Biological Letters. Published online 23 September 2009.

Ellison, W. T., Southall, B. L., Clark, C. W., and Frankel, A. 2012. A new context-based paradigm to assess behavioral responses of marine mammals to sound. Con. Bio. 26:21-28

George, J. C. "Craig", Zeh, J., Suydam, R., and Clark, C. 2004. Abundance and population trend (1978-2001) of the western Arctic bowhead whales surveyed near Barrow, Alaska. Marine Mammal Science 20:755-773.

Dr. Xanadu Halkias

Halkias X., Paris S., Glotin H. Classification of Mysticete Sounds: Extracting Spectro-Temporal Structures of Calls using Sparse Architectures, Journal of the Acoustical Society of America (JASA), 2012 submitted

Halkias, X. C and Ellis, D. A Comparison of Pitch Extraction Methodologies for Dolphin Vocalizations, Journal of Canadian Acoustics, vol. 36, no. 1 pp.74-80, 2008.

Halkias, X. C and Ellis, D. "Call Detection and Extraction Using Bayesian Inference." Applied Acoustics, Special issue on Marine Mammal Detection, vol. 67, no 11-12, Nov-Dec. 2006, pp.1164-1174

Halkias, X. C and Ellis, D. "Estimating the Number of Marine Mammals using Recordings from One Microphone."IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP-06, Toulouse, France, May 2006

Halkias X. ''Detection and tracking of dolphin vocalizations'', Ph.D, Columbia Unic. 2009, 154 pages

Martin V., Glotin H., Paris, S., Halkias, X. Prevot, JM. Violence Detection in Video by Large Scale Multi-Scale Local Binary Pattern Dynamics, MediaEval, 2012.

Paris, S., Halkias, X., Glotin, H. Sparse Coding of Histograms of Local Binary Patterns Applied for Image Categorization: Towards a Bag-of-Scenes Analysis, ICPR 2012, Tsukuba, Japan, November 2012

Dr. Peter Dugan

W. Clark, "SEDNA - Bioacoustic Analysis Toolbox Matlab Platform to Support High Performance Computing, Noise Analysis, Event Detection and Event Modeling." IEEE Explore, vol. OCEANS-11, Kona, Hawaii, 2011.

Rice, A. N., P. J. Dugan, C. W. Clark. 2010. Finding the calls of whales in a sea of sound. Sea Technology 51(10): 25-29.

Dugan, P. J., A. N. Rice, I. R. Urazghildiiev, and C. W. Clark, "North Atlantic right whale acoustic signal processing: Part I. Comparison of machine learning recognition algorithms", Proc. IEEE: LISAT 2010, 2010.

Dugan, P. J., A. N. Rice, and C. W. Clark, "North Atlantic right whale acoustic signal processing: Part II. Improved Decision Architecture for Auto-Detection Using Multi-Classifier Combination Methodology", Proc. IEEE: LISAT 2010, 2010.

Dugan , P. J., G. J. Sackman, R. F. Schwartz, "Room Impulse Response Calculation by Using Elliptic Contours for Determining Equal Delay Reflection Locations", AES Convention, Nov. 1994, pp. 3913.

Dugan, P.J., "Signals in spider webs: detecting the Portia smokescreen using wavelet features". Proceedings of the Artificial Neural Networks in Engineering, Nov. 2005, pp. 497-504.

Dugan, P.J., D.W.Ponirakis, M.S. Pitzrick, J.Morano, and C. W. Clark, "SEDNA System, Acoustic Detection and Noise Analysis", in preparation, 2011.

Pr. Jerome Sueur

Depraetere M, Pavoine S, Jiguet F, Gasc A, Duvail S, Sueur J, 'Monitoring animal diversity using acoustic indices: implementation in a temperate woodland' Ecological Indicators, 13: 46-54, 2012
AVAILABLE Toolkit = Sueur, Aubin, Simonis 'Seewave: a free modular tool for sound analysis and synthesis', bioacoustics, 18:213-226, 2008

Sueur J, Pavoine S, Hamerlynck O, Duvail S, Rapid acoustic survey for biodiversity appraisal. PLoS ONE, 3(12): e4065, 2008

Sueur J, Gasc A, Grandcolas P, Pavoine S, Global estimation of animal diversity using automatic acoustic sensors, 2012, In Le Galliard, Guarini, Gaill F (Eds), Sensors for ecology: towards integrated knowledge of ecosystems. CNRS Ed, 101-119

Obrist M.K., Pavan G., Sueur J., Riede K., Llusia D. and Márquez R., Bioacoustic approaches in biodiversity inventories. In: Manual on Field Recording Techniques and Protocols for All Taxa Biodiversity Inventories, Abc Taxa, Vol. 8: 68-99, 2010

General References

Hinton G., S. Osindero, Y. Teh (2006) A fast learning algorithm for deep belief nets, Neural computation.

Mairal J, F. Bach, J. Ponce.(2010) Task-Driven Dictionary Learning, Technical report, HAL : inria-00521534.

Pan, Q.Yang, A Survey on Transfer Learning (2009) IEEE Trans. On Knowledge and Data Engineering.

Pieretti, N., Farina, A. & Morri, F. D. (2010) A new methodology to infer the singing activity of an avian community:the Acoustic Complexity Index (ACI). Ecological Indicators, 11, 868-873.

Pijanowski, B., Farina, A., Gage, S., Dumyahn, S. & Krause, B. (2011) What is soundscape ecology? An introduction and overview of an emerging new science. Landscape Ecology, 26, 1213-1232.

Tomanek, K. & U. Hahn (2009) Semi-supervised active learning for sequence labeling. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th Int. Joint Conf on Natural Language pp. 1039- 1047AR1

Wimmer, J., Towsey, M., Planitz, B., Williamson, I. & Roe, P. (2012) Analysing environmental acoustic data through collaboration and automation. Future Generation Computer Systems, in press.

Do TMT, T. Artieres, Neural conditional random fields, Deep Learning for Speech Recognition and Related Applications, a workshop in conjunction with NIPS 2009.