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Learning and generation of slow sequences: an application to music composition

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Learning and generation of slow sequences: an application to music composition

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Chat with Graph Search

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

RSVQA: Visual Question Answering for Remote Sensing Data

Mixed-Precision Deep Learning Based on Computational Memory

Short-term energy use prediction of solar-assisted water heating system: Application case of combined attention-based LSTM and time-series decomposition

Crowding and the Architecture of the Visual System

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

Learning Trajectory Dependencies for Human Motion Prediction

MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring

Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments

Algorithmic Composition of Melodies with Deep Recurrent Neural Networks