Stat-Ml
Automated design of collective variables using supervised machine learning
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Batch Size Influence on Performance of Graphic and Tensor Processing Units during Training and Inference Phases
Computational and informatics advances for reproducible data analysis in neuroimaging
Neonatal EEG Interpretation and Decision Support Framework for Mobile Platforms
Universal low-rank matrix recovery from Pauli measurements
Auto-associative models, nonlinear Principal component analysis, manifolds and projection pursuit
Forecasting Cardiology Admissions from Catheterization Laboratory
Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method
Data-driven Air Quality Characterisation for Urban Environments: a Case Study
Towards Automatic Personality Prediction Using Facebook Like Categories
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection
Integrating Project Spatial Coordinates into Pavement Management Prioritization
Reconstructing Speech Stimuli From Human Auditory Cortex Activity Using a WaveNet Approach
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network
Modeling overland flow from local inflows in almost no-time, using Self Organizing Maps
Optimizing Deep Neural Network Architecture: A Tabu Search Based Approach
Sufficient Component Analysis for Supervised Dimension Reduction
Development of Mobile-Interfaced Machine Learning-Based Predictive Models for Improving Students Performance in Programming Courses
Robust Clustering Using Outlier-Sparsity Regularization
