Stat-Ml
Science and Technology Advance through Surprise
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning
Personalization Effect on Emotion Recognition from Physiological Data: An Investigation of Performance on Different Setups and Classifiers
Q-Learning with Basic Emotions
Universal priors: solving empirical Bayes via Bayesian inference and pretraining
The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling
Activation-Space Uncertainty Quantification for Pretrained Networks
Social Computing for Mobile Big Data in Wireless Networks
Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store
Generalized Leverage Score for Scalable Assessment of Privacy Vulnerability
Distributed Kernel K-Means for Large Scale Clustering
Acceleration of Deep Neural Network Training with Resistive Cross-Point Devices
Wisdom of Crowds cluster ensemble
Representation Learning for Medical Data
Greedy Deep Dictionary Learning
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements
Mining of health and disease events on Twitter: validating search protocols within the setting of Indonesia
Font Identification in Historical Documents Using Active Learning
