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Bellot P, Meyer PE. Efficient combination of pairwise feature networks. JMLR: Workshop and Conference Proceedings . Nancy, France: JMLR: Workshop and Conference Proceedings; 2014;46:77 - 84.  (217.39 KB)
Bellot P, Salembier P, Pham NC, Meyer PE. Unsupervised GRN Ensemble. In Sanguinetti G., Huynh-Thu V. (eds) Methods in Molecular Biology . New York, NY: Springer science, Humana Press; 2019. pp. 283-302.
Bellot P, Meyer P. Efficient Combination of Pairwise Feature Networks. In: Battaglia D, Guyon I, Lemaire V, Orlandi J, Ray B, Soriano J. Neural Connectomics Challenge. Springer International Publishing; 2017.
Bellot P. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. Salembier P. 2017.  (2.73 MB)
Bellot P, Olsen C, Salembier P, Oliveras A, Meyer PE. NetBenchmark: a bioconductor package for reproducible benchmarks of gene regulatory network inference. BMC Bioinformatics. 2015;16.  (851.49 KB)
Bazazian D, Casas J, Ruiz-Hidalgo J. Fast and Robust Edge Extraction in Unorganized Point Clouds. In International Conference on Digital Image Computing: Techniques and Applications. Adelaide, Australia: DICTA/IEEE; 2015.  (700.25 KB)
Bazazian D, Casas J, Ruiz-Hidalgo J. Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.  (4.3 MB)
Batiste G. Generative Adversarial Networks for Anomaly Detection in Images. Vilaplana V. 2018.
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (1.17 MB)
Barrabés M. Machine Learning for Genomic Sequence Processing. Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. 2022 .
Barrabés M, Mas-Montserrat D, Geleta M, Giró-i-Nieto X, Ioannidis AG. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
Barkhuus L, Zoric G, Engström A, Ruiz-Hidalgo J, Verzijp N. New interaction modes for rich panoramic live video experiences. Behaviour & Information Technology. 2014;33(8).
Bangham J, Ruiz-Hidalgo J, Harvey R, Cawley G. The segmentation of images via scale-space trees. In British Machine Vision Conference. Southampton, UK; 1998. pp. 33–43.  (1.18 MB)
Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.
Bakas S, Reyes M, Jakab A, Bauer S, Casamitjana A, Vilaplana V, et al.. Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge. In MICCAI - Multimodal Brain Tumor Segmentation Challenge. 2018.
Bach M, Thiran J, Marqués F. How can physicians quantify brain degeneration?. In: Dutoit T, Marqués F. Applied signal processing. 2009. pp. 411–449.
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Avrithis Y, Stamou G, Wallace M, Marqués F, Salembier P, Giró-i-Nieto X, et al.. Unified Access to Heterogeneous Audiovisual Archives. Journal of universal computer science. 2003;9:510–519.
Avrithis Y, Stamou G, Wallace M, Marqués F, Salembier P, Giró-i-Nieto X, et al.. Unified access to heterogeneous audiovisual archives. In International Conference on Knowledge Management. Graz, Austria; 2003. pp. 1–2.
Avaro O, Salembier P. MPEG-7 Systems: overview. IEEE transactions on circuits and systems for video technology. 2001;11:760–764.  (94.51 KB)
Avaro O, Salembier P. Systems Architecture. In Introduction to the mpeg-7: multimedia content description interface. B. S. Manjunath, P. Salembier, T. Sikora (Eds.). Wiley; 2002. pp. 33–42.
Asteriadis S, Nikolaidis N, Pitas I, Pardàs M. Detection of facial characteristics based on edge information. In International Conference on Computer Vision Theory and Applications, VISAPP 2007. 2007. pp. 247–250.
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Compution (EPIC). Munich, Germany: Springer; 2018.  (3.78 MB)
Assens M. The Temporal Dimension of Visual Attention Models. McGuinness K, Giró-i-Nieto X, O'Connor NE. 2017.  (6.98 MB)
Assens M, McGuinness K, O'Connor N, Giró-i-Nieto X. Scanpath and Saliency Prediction on 360 Degree Images. Elsevier Signal Processing: Image Communication. 2018;.  (2.61 MB)
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. Venice, Italy: IEEE; 2017.  (2.34 MB)

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