Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. Path Planning with Kinematic Constraints for Robot Groups. Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. A multiobjective deep learning approach for predictive classification in Neuroblastoma. Learning the structure of Bayesian Net …

A projection pursuit framework for testing general high-dimensional hypothesis. Attention-Based End-to-End Speech Recognition on Voice Search. ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data. An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing. Robust features f …

Deep Reinforcement Learning Attention Selection for Person Re-Identification. A unified view of entropy-regularized Markov decision processes. Context Based Visual Content Verification. Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. Residual Conv-Deconv Grid Network for Semantic Segmentation. A Localisation-Segme …

Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution. Preferential Bayesian Optmization. Constitui\cc~ao de Um Dicion'ario Eletr^onico Tril'\ingue Fundado em Frames a partir da Extra\cc~ao Autom'atica de Candidatos a Termos do Dom'\inio do Turismo (The Constitution of a Tril …

Graph Methods for Multilingual FrameNets. Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information. Compositionality in Verb-Particle Constructions. Learning to Score System Summaries for Better Content Selection Evaluation.. Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objectiv …