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Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. In Asia Pacific Signal and Information Processing Association Annual Summit, APSIPA. Tokyo, Japan; 2021.  (995.84 KB)
Bonet D, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. HyperFast: Instant Classification for Tabular Data. In 38th Annual AAAI Conference on Artificial Intelligence (AAAI). 2024.  (3.15 MB)
Bonet D, Ortega A, Ruiz-Hidalgo J, Shekkizhar S. Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. In International Conference on Acoustics, Speech and Signal Processing. 2022.  (1.13 MB)
Bonafonte A, Mariño J, Pardàs M. Efficient integration of coarticulation and lexical information .. In INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING. 1992. pp. 45–48.
Bonafonte A, Pardàs M, Mariño J. N-best hypotheses:an approach taking into account coarticulation. In EUROPEAN SIGNAL PROCESSING CONFERENCE. 1992. pp. 379–382.
Bolaños M, Mestre R, Talavera E, Giró-i-Nieto X, Radeva P. Visual Summary of Egocentric Photostreams by Representative Keyframes. In IEEE International Workshop on Wearable and Ego-vision Systems for Augmented Experience (WEsAX) 2015. Turin, Italy; 2015.  (2.69 MB)
Bescós J, Torres L, Menendez J, Vilà J, Cisneros G, Marqués F, et al.. An open integrated system for video indexing. In International Workshop on Content-Based Multimedia Indexing. 2001. pp. 322–333.
Bernardin K, Stiefelhagen R, Pnevmatikakis A, Lanz O, Brutti A, Casas J, et al.. Person Tracking. In Computers in the human interaction loop. London: Springer; 2009. pp. 11–22.
Bernal O. Predicting emotion in movies: Recurrent and convolutional models applied to videos. Giró-i-Nieto X, Zaharieva M. 2017.  (3.05 MB)
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022;38.
Benitez AB, Martinez JM, Rising H, Salembier P. Description of a Single Multimedia Document. In Introduction to the mpeg-7: multimedia content description interface. B. S. Manjunath, P. Salembier, T. Sikora (Eds.). Wiley; 2002. pp. 111–138.
Benediktsson J, Bruzzone L, Chanussot J, Dalla Mura M, Salembier P, Valero S. Hierarchical analysis of remote sensing data: morphological attribute profiles and binary partition trees. In International Symposium on Mathematical Morphology 2011. Intra, Lake Maggiore, Italy; 2011. pp. 306–319.  (394.77 KB)
Bellver-Bueno M, Ventura C, Silberer C, Kazakos I, Torres J, Giró-i-Nieto X. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. Multimedia Tools and Applications. 2022;.  (5.78 MB)
Bellver M, Giró-i-Nieto X, Marqués F. Efficient search of objects in images using deep reinforcement learning. NIPS Women in Machine Learning Workshop. Barcelona.; 2016.
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019.  (6.59 MB)
Bellver M. Efficient Exploration of Region Hierarchies for Semantic Segmentation. Ventura C, Giró-i-Nieto X. 2015.  (11.62 MB)
Bellver M. Detection-aided medical image segmentation using deep learning. Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017.  (7.07 MB)
Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.  (1 MB)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
Bellver M. Image and Video Object Segmentation in Low Supervision Scenarios. Torres J, Giró-i-Nieto X. Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;.  (2.2 MB)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 KB)
Bellot P, Salembier P, Oliveras A, Meyer PE. Study of Normalization and Aggregation Approaches for Consensus Network Estimation. In 2015 IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Artificial Life (2015 IEEE ALIFE). Cape Town, South Africa; 2015.  (317 KB)
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.

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