The following pages link to ImageNet (Q32917):
Displaying 50 items.
- SciANN: a Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks (Q2020876) (← links)
- Attention-based convolutional autoencoders for 3D-variational data assimilation (Q2020890) (← links)
- Machine learning materials physics: multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures (Q2020954) (← links)
- Deep learned finite elements (Q2021024) (← links)
- A generic physics-informed neural network-based constitutive model for soft biological tissues (Q2021025) (← links)
- Development of an algorithm for reconstruction of droplet history based on deposition pattern using computational fluid dynamics and convolutional neural network (Q2021070) (← links)
- Scale bridging materials physics: active learning workflows and integrable deep neural networks for free energy function representations in alloys (Q2021083) (← links)
- Geometric deep learning for computational mechanics. I: Anisotropic hyperelasticity (Q2021107) (← links)
- Training classifiers for feedback control with safety in mind (Q2021288) (← links)
- Diffusion maps-aided neural networks for the solution of parametrized PDEs (Q2021984) (← links)
- Universal machine learning for topology optimization (Q2022034) (← links)
- Recognition of species and genera of bacteria by means of the product of weights of the classifiers (Q2023597) (← links)
- Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods (Q2023684) (← links)
- Deep learning models for brain machine interfaces (Q2023879) (← links)
- Julia language in machine learning: algorithms, applications, and open issues (Q2026295) (← links)
- Multidisciplinary pattern recognition applications: a review (Q2026301) (← links)
- Extreme value theory for anomaly detection -- the GPD classifier (Q2027086) (← links)
- BlackBox: generalizable reconstruction of extremal values from incomplete spatio-temporal data (Q2028575) (← links)
- Automatic extraction of cell nuclei using dilated convolutional network (Q2028918) (← links)
- Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data (Q2028920) (← links)
- Optimization problems for machine learning: a survey (Q2029894) (← links)
- Topological properties of the set of functions generated by neural networks of fixed size (Q2031060) (← links)
- Image morphing in deep feature spaces: theory and applications (Q2031755) (← links)
- Multiple-source adaptation theory and algorithms (Q2035631) (← links)
- Smoothed dilated convolutions for improved dense prediction (Q2036775) (← links)
- A selective overview of deep learning (Q2038303) (← links)
- Robust table recognition for printed document images (Q2038715) (← links)
- A tutorial review of mathematical techniques for quantifying tumor heterogeneity (Q2038763) (← links)
- Data-driven algorithm selection and tuning in optimization and signal processing (Q2043447) (← links)
- Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space (Q2044364) (← links)
- DeepMRMP: a new predictor for multiple types of RNA modification sites using deep learning (Q2045428) (← links)
- A convolutional neural network-based linguistic steganalysis for synonym substitution steganography (Q2045760) (← links)
- Machine learning versus semidefinite programming approach to a particular problem of the theory of open quantum systems (Q2046413) (← links)
- Synthetic-aperture radar image based positioning in GPS-denied environments using deep cosine similarity neural networks (Q2047287) (← links)
- A data and knowledge driven approach for SPECT using convolutional neural networks and iterative algorithms (Q2048222) (← links)
- Enhancing robustness verification for deep neural networks via symbolic propagation (Q2050096) (← links)
- Learning quantized neural nets by coarse gradient method for nonlinear classification (Q2050846) (← links)
- The voice of optimization (Q2051238) (← links)
- Conditional variance penalties and domain shift robustness (Q2051245) (← links)
- Learning smooth representations with generalized softmax for unsupervised domain adaptation (Q2054097) (← links)
- Adaptive channel selection for robust visual object tracking with discriminative correlation filters (Q2054400) (← links)
- Learning adaptive classifiers synthesis for generalized few-shot learning (Q2054407) (← links)
- Guest editorial: Generative adversarial networks for computer vision (Q2056078) (← links)
- Handwritten mathematical expression recognition via paired adversarial learning (Q2056081) (← links)
- RoCGAN: robust conditional GAN (Q2056108) (← links)
- Semantically tied paired cycle consistency for any-shot sketch-based image retrieval (Q2056110) (← links)
- A general framework for deep supervised discrete hashing (Q2056135) (← links)
- Learning multifunctional binary codes for personalized image retrieval (Q2056137) (← links)
- Weakly-supervised semantic guided hashing for social image retrieval (Q2056142) (← links)
- Hadamard matrix guided online hashing (Q2056146) (← links)
