Neonatal Seizure Detection using Convolutional Neural Networks. Accelerated Image Reconstruction for Nonlinear Diffractive Imaging. A watershed-based algorithm to segment and classify cells in fluorescence microscopy images. Function approximation with zonal function networks with activation functions analogous to the rectified linear unit function …

DeepSF: deep convolutional neural network for mapping protein sequences to folds. Improving One-Shot Learning through Fusing Side Information. A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop. Estimating prediction error for complex samples. Dynamic Label Graph Matching for Unsupervised Video …

Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. Measurement of amplitude of the moiré patterns in digital autostereoscopic 3D display. Who is Smarter? Intelligence Measure of Learning-based Cognitive Radios. Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Select …

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks. DeadNet: Identifying Phototoxicity from Label-free Microscopy Images of Cells using Deep ConvNets. Objective evaluation metrics for automatic classification of EEG events. Gait Pattern Recognition Using Accelerometers. Subpopulation Diversity Based Selecting Migration Moment in …

Deep Recurrent Neural Networks for seizure detection and early seizure detection systems. Calligraphic Stylisation Learning with a Physiologically Plausible Model of Movement and Recurrent Neural Networks. Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration. Deep scattering transform applied to note onset detection and instrument …

Generalization Properties of Doubly Stochastic Learning Algorithms. SceneSeer: 3D Scene Design with Natural Language. Deep Architectures for Automated Seizure Detection in Scalp EEGs. Minkowski Operations of Sets with Application to Robot Localization. An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Fra …

Robust polynomial regression up to the information theoretic limit. Statistical learning of rational wavelet transform for natural images. Analysing Congestion Problems in Multi-agent Reinforcement Learning. Local System Voting Feature for Machine Translation System Combination. Convolutional Networks with MuxOut Layers as Multi-rate Systems for Im …