Modelling Creativity: Identifying Key Components through a Corpus-Based Approach. Computational Drug Repositioning Using Continuous Self-controlled Case Series. Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization. Why is Differential Evolution Better than Grid Search for Tuning Def …

Relevant based structure learning for feature selection. Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds. Semantic Jitter: Dense Supervision for Visual Comparisons via Synthetic Images. Adversarial Top-$K$ Ranking. Compression of …

Emulating Human Conversations using Convolutional Neural Network-based IR. Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning. Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. Learning Purposeful Behaviour in the Absence of Rewards. An Application of Network Lass …

Data Recombination for Neural Semantic Parsing. Blankets Joint Posterior score for learning Markov network structures. An Interactive Medical Image Segmentation Framework Using Iterative Refinement. Building Deep Networks on Grassmann Manifolds. Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators. The End of Optimism? A …

Contextual RNN-GANs for Abstract Reasoning Diagram Generation. A Survey of Voice Translation Methodologies - Acoustic Dialect Decoder. Formal Concept Analysis of Rodent Carriers of Zoonotic Disease. Measuring the Quality of Exercises. Mobile Big Data Analytics Using Deep Learning and Apache Spark. Enabling Basic Normative HRI in a Cognitive Robotic …

Dictionary Learning Strategies for Compressed Fiber Sensing Using a Probabilistic Sparse Model. Learning Null Space Projections in Operational Space Formulation. Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification. Automatic measurement of vowel duration via structured prediction. Parallel Chromatic MCMC with Spati …

Convolutional Random Walk Networks for Semantic Image Segmentation. Sub-Sampled Newton Methods I: Globally Convergent Algorithms. Informative Planning and Online Learning with Sparse Gaussian Processes. Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video. Context-Aware Online Learning for Course Re …

NLP and Online Health Reports: What do we say and what do we mean?. Leveraging coreference to identify arms in medical abstracts: An experimental study. Hybrid methods for ICD-10 coding of death certificates. Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions. Jointly learning heterogeneous features fo …