Stat-Ml
Na"iveRole: Author-Contribution Extraction and Parsing from Biomedical Manuscripts
Scalable Bayesian reduced-order models for high-dimensional multiscale dynamical systems
An optical diffractive deep neural network with multiple frequency-channels
Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection
PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off
Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise
Convolutional capsule network for classification of breast cancer histology images
Generalized Earthquake Frequency-Magnitude Distribution Described by Asymmetric Laplace Mixture Modelling
DeepLink: A Novel Link Prediction Framework based on Deep Learning
Multimodal Sparse Classifier for Adolescent Brain Age Prediction
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks -- Prevention and Prediction for Combating Terrorism
3D human action analysis and recognition through GLAC descriptor on 2D motion and static posture images
Native Language Identification using i-vector
Leveraging BERT for Extractive Text Summarization on Lectures
Building a Reproducible Machine Learning Pipeline
Convolutional Neural Networks for Classification of Alzheimers Disease: Overview and Reproducible Evaluation
Self Configuration in Machine Learning
Convex and Network Flow Optimization for Structured Sparsity
Classification of Sets using Restricted Boltzmann Machines
Stripe-Based Fragility Analysis of Concrete Bridge Classes Using Machine Learning Techniques
A Probabilistic Perspective on Gaussian Filtering and Smoothing
Unsupervised Domain Adaptation using Graph Transduction Games
