Stat-Ml
Deep-seismic-prior-based reconstruction of seismic data using convolutional neural networks
Entropy-Based Search Algorithm for Experimental Design
Deep Learning in Alzheimers disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data
Uncovering the Riffled Independence Structure of Rankings
Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties
The Ethics of AI Ethics -- An Evaluation of Guidelines
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering
Uncovering Sociological Effect Heterogeneity using Machine Learning
Towards Run Time Estimation of the Gaussian Chemistry Code for SEAGrid Science Gateway
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials
Deep Learning Development Environment in Virtual Reality
Extension of Convolutional Neural Network with General Image Processing Kernels
Medium-Term Load Forecasting Using Support Vector Regression, Feature Selection, and Symbiotic Organism Search Optimization
Deep Learning Training with Simulated Approximate Multipliers
LSTM Based Music Generation System
Automated speech-based screening of depression using deep convolutional neural networks
How is Your Mood When Writing Sexist tweets? Detecting the Emotion Type and Intensity of Emotion Using Natural Language Processing Techniques
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks
Optimizing Software Effort Estimation Models Using Firefly Algorithm
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach
