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Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. In Alzheimer's Association International Conference. Chicago, USA; 2018.
Petrone P, Casamitjana A, Falcon C, Artigues M, Operto G, Skouras S, et al.. Characteristic Brain Volumetric Changes in the AD Preclinical Signature. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2018;14(7):P1235.
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Pelegrí JBustos. Clasificación de imágenes histológicas mediante redes neuronales convolucionales. Combalia M, Vilaplana V. 2018.
Panizo E. Classification techniques for Alzheimer’s disease early diagnosis. Vilaplana V. 2015.  (5.86 MB)
Marqués F, Pardàs M, Salembier P. Coding-oriented segmentation of video sequences. In Video coding: the second generation approach. L. Torres and M. Kunt (Eds.). Kluwer; 1996. pp. 79–124.
Sayrol E, Fischi O, Pardàs M. Color Inititialization for Lip Tracking. In International Conference on Augmented, Virtual Environments and 3D Imaging. 2001. pp. 351–354.
Waibel A, Stiefelhagen R, Carlson R, Casas J, Kleindienst J, Lamel L, et al.. Computers in the Human Interaction Loop. In Handbook on Ambient Intelligence and Smart Environments (AISE). Boston, MA: Springer; 2010. pp. 1071–1116.
Waibel A, Stiefelhagen R, Carlson R, Casas J, Kleindienst J, Lamel L, et al.. Computers in the Human Interaction Loop. In Handbook on Ambient Intelligence and Smart Environments (AISE). Boston, MA: Springer; 2010. pp. 1071–1116.
Waibel A, Stiefelhagen R, Carlson R, Casas J, Kleindienst J, Lamel L, et al.. Computers in the Human Interaction Loop. In Handbook on Ambient Intelligence and Smart Environments (AISE). Boston, MA: Springer; 2010. pp. 1071–1116.
Salembier P, Pujol O, Garrido L. Connected operators for sprite creation and layered representation of image sequences. In 9th European Signal Processing Conference, EUSIPCO 1998. Rhodes, Greece; 1998. pp. 2105–2108.  (253.51 KB)
Alcoverro M, López-Méndez A, Pardàs M, Casas J. Connected Operators on 3D data for human body analysis. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2011. pp. 9–14.
Pardàs M, Torres L. Connectivity filters for image sequences. In IMAGE ALGEBRA AND MORPHOLOGICAL IMAGE PROCESSING. SPIE. 1992. pp. 318–329.
Tarrés GCanet, Pardàs M. Context-unsupervised adversarial network for video sensors. Sensors. 2022;22:3171.
Pont-Tuset J, Marqués F. Contour detection using binary partition trees. In IEEE International Conference on Image Processing. 2010. pp. 1609–1612.
Nunes P, Marqués F, Pereira F, Gasull A. A contour-based approach to binary shape coding using a multiple grid chain code. Signal processing: image communication. 2000;15:585–599.
Hernandez C, Combalia M, Puig S, Malvehy J, Vilaplana V. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). 2022.
Landabaso J-L, Pardàs M. Cooperative background modelling using multiple cameras towards human detection in smart-room. In 14th European Signal Processing Conference. 2006. pp. 1–5.
Pujol-Miró A, Casas J, Ruiz-Hidalgo J. Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks. Image and Vision Computing. 2019;83-84.  (3.95 MB)

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