One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Working with population data by ZIP code gives you a level of granularity that national, state or even city figures cannot provide. A city can include very dense, young neighborhoods and low‑density, ...

FaceTec VP of Government Relations, Owen McShane, dealt with thousands of counterfeit driver’s licenses while he was in an investigative role with New York State before joining the 3D identity ...

Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...

1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...

DenseLayerPack.DenseLayer: DenseLayer(in_features: int, out_features: int, layer_type: str, **kwargs) Initialize a specific type of layer based on the layer_type argument and additional arguments.

Abstract: We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA (LISTA) method, and a linear ...