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Campos V, Salvador A, Giró-i-Nieto X, Jou B. Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015.

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Tacchini E, Morros JR, Vilaplana V, Sañoso E. Do you have a Pop face? Here is a Pop song. Using profile pictures to mitigate the cold-start problem in Music Recommender Systems. In 9th ACM Conference on Recommender Systems. 2015.

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Maceira M, Morros JR, Ruiz-Hidalgo J. Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;.

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Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.

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Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.

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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.

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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.

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Lin X, Campos V, Giró-i-Nieto X, Torres J, Canton-Ferrer C. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.

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Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017.

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Ramon E. Deep Learning algorithms for 3D Reconstruction and Simulation of Aesthetic Procedures. Giró-i-Nieto X. 2018.

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Gomez P, Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018.

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Balibrea M. Deep learning for semantic segmentation of airplane hyperspectral imaging. Salgueiro L, Vilaplana V. 2019.

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Deep Learning Representations for All (a.k.a. the AI hype). 2019.

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Lin X, Sanchez-Escobedo D, Casas J, Pardàs M. Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors. 2019;19(8).

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Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid Positive Cognitively unimpaired individuals using voxel-based machine learning on structural longitudinal brain MRI. In Alzheimer's Association International Conference. 2019.

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Casamitjana A, Petrone P, Falcon C, Artigues M, Operto G, Cacciaglia R, et al.. Detection of Amyloid-Positive Cognitively Unimpaired Individuals Using Voxel-Based Machine Learning on Structural Longitudinal Brain MRI. Alzheimer's & Dementia. 2019;15(754).

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Roisman A, Navarro A, Clot G, Castellano G, Gonzalez-Farre B, Pérez-Galan P, et al.. Differential expression of long non-coding RNAs related to proliferation and histological diversity in follicular lymphomas. British Journal of Haematology. 2019;184(3):373-383.

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Combalia M, Pérez-Anker J, García-Herrera A, Alos L, Vilaplana V, Marques F, et al.. Digitally Stained Confocal Microscopy through Deep Learning. In International Conference on Medical Imaging with Deep Learning (MIDL 2019). London; 2019.

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Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.

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Giró-i-Nieto X. Deep Self-Supervised Learning for All. 2020.

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Giró-i-Nieto X. Deep Learning Representations for All (a.ka. the AI hype). 2021.

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Geleta M, Mas-Montserrat D, Bustamante C, Giró-i-Nieto X, Ioannidis AG. Deep variational autoencoders for population genetics: applications in classification, imputation, dimensionality reduction, and novel lossless data compression. In American Society of Human Genetics (ASHG). Virtual: ASHG; 2021.

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García-Gómez P. Development of a multimodal imaging system based on LIDAR. Royo S, Casas J. Optics and Optometry Department. Universitat Politècnica de Catalunya; 2021.

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Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.

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Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.

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