The following pages link to Keras (Q27379):
Displaying 50 items.
- Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method (Q2687554) (← links)
- Dimensionality reduction through convolutional autoencoders for fracture patterns prediction (Q2691969) (← links)
- A deep learning model to predict the failure response of steel pipes under pitting corrosion (Q2692887) (← links)
- Prospects for Higgs boson and new scalar resonant production searches in \textit{ttbb} final state at the LHC (Q2698931) (← links)
- Hybrid explicit-implicit learning for multiscale problems with time dependent source (Q2700196) (← links)
- Design of Load Forecast Systems Resilient Against Cyber-Attacks (Q3297648) (← links)
- Deep Learning with Periodic Features and Applications in Particle Physics (Q3305496) (← links)
- Data-Driven Discovery of Closure Models (Q4562411) (← links)
- Neural Networks and Deep Learning (Q4569250) (← links)
- Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification (Q4617110) (← links)
- Deep Learning with R (Q4631602) (← links)
- Time-series forecasting of mortality rates using deep learning (Q4959368) (← links)
- Enabling immersive engagement in energy system models with deep learning (Q4970269) (← links)
- A Deep Learning Approach for the Computation of Curvature in the Level-Set Method (Q4997376) (← links)
- Grouping of contracts in insurance using neural networks (Q5003353) (← links)
- Solving parametric PDE problems with artificial neural networks (Q5014839) (← links)
- Automatic Recognition of the General-Purpose Communicative Functions Defined by the ISO 24617-2 Standard for Dialog Act Annotation (Q5026264) (← links)
- Detecting Bots and Assessing Their Impact in Social Networks (Q5030997) (← links)
- Integration of Leaky-Integrate-and-Fire Neurons in Standard Machine Learning Architectures to Generate Hybrid Networks: A Surrogate Gradient Approach (Q5033555) (← links)
- Applying Machine Learning to Heuristics for Real Polynomial Constraint Solving (Q5041067) (← links)
- A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data (Q5041149) (← links)
- A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting (Q5048369) (← links)
- Finite Volume Models and Efficient Simulation Tools (EST) for Shallow Flows (Q5050105) (← links)
- Finite-Sample Two-Group Composite Hypothesis Testing via Machine Learning (Q5057095) (← links)
- POINT AND INTERVAL FORECASTS OF DEATH RATES USING NEURAL NETWORKS (Q5067895) (← links)
- Are missing values important for earnings forecasts? A machine learning perspective (Q5079403) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082232) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082233) (← links)
- Reproducible Hyperparameter Optimization (Q5083358) (← links)
- (Q5089134) (← links)
- Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent (Q5094616) (← links)
- Optimizing Opinions with Stubborn Agents (Q5106358) (← links)
- An Image-Based Approach to Detecting Structural Similarity Among Mixed Integer Programs (Q5106386) (← links)
- A neural network approach to predicting and computing knot invariants (Q5111763) (← links)
- Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures (Q5114628) (← links)
- Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data (Q5120733) (← links)
- Deep learning for 2D passive source detection in presence of complex cargo (Q5132255) (← links)
- Deep learning for ranking response surfaces with applications to optimal stopping problems (Q5139253) (← links)
- Regression Neural Networks with a Highly Robust Loss Function (Q5141227) (← links)
- (Q5148929) (← links)
- (Q5149222) (← links)
- Regression methods in waveform modeling: a comparative study (Q5161932) (← links)
- 15 Deep learning for analysis of COVID-19 electronic health records (Q5163669) (← links)
- ChaosNet: A chaos based artificial neural network architecture for classification (Q5205680) (← links)
- Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos (Q5213524) (← links)
- (Q5214214) (← links)
- Approximating the Architecture of Visual Cortex in a Convolutional Network (Q5214358) (← links)
- Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins (Q5214360) (← links)
- Safe Triplet Screening for Distance Metric Learning (Q5214409) (← links)
- A Multiscale Neural Network Based on Hierarchical Matrices (Q5222107) (← links)
