The role of artificial intelligence in achieving the Sustainable Development Goals von Vinuesa, Ricardo, Azizpour, Hossein, Leite, Iolanda, Balaam, Madeline, Dignum, Virginia, Domisch, Sami, Felländer, Anna, Langhans, Simone Daniela, Tegmark, Max, Fuso Nerini, Francesco

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Factors of Transferability for a Generic ConvNet Representation von Azizpour, Hossein, Razavian, Ali Sharif, Sullivan, Josephine, Maki, Atsuto, Carlsson, Stefan

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Object Detection Using Strongly-Supervised Deformable Part Models von Azizpour, Hossein, Laptev, Ivan

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Convolutional-network models to predict wall-bounded turbulence from wall quantities von Guastoni, Luca, Güemes, Alejandro, Ianiro, Andrea, Discetti, Stefano, Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo

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Deep reinforcement learning for turbulent drag reduction in channel flows von Guastoni, Luca, Rabault, Jean, Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo

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Recurrent neural networks and Koopman-based frameworks for temporal predictions in a low-order model of turbulence von Eivazi, Hamidreza, Guastoni, Luca, Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo

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Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction von Dembrower, Karin, Liu, Yue, Azizpour, Hossein, Eklund, Martin, Smith, Kevin, Lindholm, Peter, Strand, Fredrik

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Unsupervised flood detection on SAR time series using variational autoencoder von Yadav, Ritu, Nascetti, Andrea, Azizpour, Hossein, Ban, Yifang

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Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks von Guastoni, Luca, Encinar, Miguel P., Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo

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Correction to: Deep reinforcement learning for turbulent drag reduction in channel flows von Guastoni, Luca, Rabault, Jean, Schlatter, Philipp, Azizpour, Hossein, Vinuesa, Ricardo

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Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays von Smith, Kevin, Piccinini, Filippo, Balassa, Tamas, Koos, Krisztian, Danka, Tivadar, Azizpour, Hossein, Horvath, Peter

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CNN features off-the-shelf: An Astounding Baseline for Recognition von Sharif Razavian, Ali, Azizpour, Hossein, Sullivan, Josephine, Carlsson, Stefan

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Digital image analysis in breast pathology—from image processing techniques to artificial intelligence von Robertson, Stephanie, Azizpour, Hossein, Smith, Kevin, Hartman, Johan

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From Generic to Specific Deep Representations for Visual Recognition von Azizpour, Hossein, Razavian, Ali Sharif, Sullivan, Josephine, Maki, Atsuto, Carlsson, Stefan

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From coarse wall measurements to turbulent velocity fields through deep learning von Güemes, A., Discetti, S., Ianiro, A., Sirmacek, B., Azizpour, H., Vinuesa, R.

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Sentinel-1 and Sentinel-2 Data Fusion for Urban Change Detection Using a Dual Stream U-Net von Hafner, Sebastian, Nascetti, Andrea, Azizpour, Hossein, Ban, Yifang

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GraphQA: protein model quality assessment using graph convolutional networks von Baldassarre, Federico, Hurtado, David Menendez, Elofsson, Arne, Azizpour, Hossein

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Predicting the wall-shear stress and wall pressure through convolutional neural networks von Balasubramanian, A.G., Guastoni, L., Schlatter, P., Azizpour, H., Vinuesa, R.

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Logistic-Normal Likelihoods for Heteroscedastic Label Noise von Englesson, Erik, Mehrpanah, Amir, Azizpour, Hossein

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AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial von Salim, Mattie, Liu, Yue, Sorkhei, Moein, Ntoula, Dimitra, Foukakis, Theodoros, Fredriksson, Irma, Wang, Yanlu, Eklund, Martin, Azizpour, Hossein, Smith, Kevin, Strand, Fredrik

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