p-Markov Gaussian Processes for Scalable and Expressive Online Bayesian
  Nonparametric Time Series Forecasting
One-vs-Each Approximation to Softmax for Scalable Estimation of
  Probabilities
Joint Transmission Scheme and Coded Content Placement in Cluster-centric
  UAV-aided Cellular Networks Examining Travel Patterns and Characteristics in a Bikesharing Network
  and Implications for Data-Driven Decision Supports: Case Study in the
  Washington DC Area Lithium Diffusion in the Post-Recombination Universe and Spatial
  Variation of [Li/H] Sparse Bayesian Learning via Stepwise Regression Forecasting Across Time Series Databases using Recurrent Neural Networks
  on Groups of Similar Series: A Clustering Approach Extraction of Cs-137 by alcohol-water solvents from plants containing
  cardiac glycosides From Animaculum to single-molecules: 300 years of the light microscope Non-reciprocal interactions enhance heterogeneity Separation of colour degree of freedom from dynamics in a soliton
  cellular automaton Quantum Simulation of the Factorization Problem On the approximation of queue-length distributions in transportation
  networks Pileup corrections on higher-order cumulants Review and Prospect: NMR Spectroscopy Denoising & Reconstruction with
  Low Rank Hankel Matrices and Tensors Bose-Einstein Condensates as Gravitational Wave Detectors HIN-RNN: A Graph Representation Learning Neural Network for Fraudster
  Group Detection With No Handcrafted Features Johnson-Lindenstrauss Compression with Neuroscience-Based Constraints Hidden Markov model segmentation of hydrological and enviromental time
  series
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