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[2007.02500] Deep Learning for Anomaly Detection: A Review
Tutorial: Stress detection with wearable devices and Machine Learning – DataEspresso
A Robust Open-source Algorithm to Detect Onset and Duration of QRS Complexes
[2009.11732] A Unifying Review of Deep and Shallow Anomaly Detection
Adversarial Autoencoders
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
On the asymptotic behaviour of solutions of stochastic differential equations
The hyperbolic Anderson model: Moment estimates of the Malliavin derivatives and applications
H ̈older continuity for the Parabolic Anderson Modelwith space-time homogeneous Gaussian noise
Neural Manifold Ordinary Differential Equations
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Stochastic Heat Equations with General Multiplicative Gaussian Noises: Hölder Continuity and Intermittency
Advanced stochastic analysis
An Introduction to Malliavin Calculus
Scalable Gradients for Stochastic Differential Equations
Chaos Expansion of Heat Equations with White Noise Potentials
On Degenerate Partial Differential Equations
[1707.01415] Machine Learning, Deepest Learning: Statistical Data Assimilation Problems
Hamilton-Jacobi Equations
The fundamental solution to 1D degenerate diffusion equation with one-sided boundary
[2008.13092] Fundamental Solution to 1D Degenerate Diffusion Equation with Locally Bounded Coefficients
Hölder-continuity for the nonlinear stochastic heat equation with rough initial conditions
Stochastic integrals for spde's: A comparison
Comparison principle for stochastic heat equation on Rd
Extending Martingale Measure Stochatic Integral with Applications to Spatially Homogeneous SPDE's
MSR-TR-2009-192.pdf
A Feynman-Kac Approach for the Spatial Derivative of the Solution to the Wick Stochastic Heat Equation Driven by Time Homogeneous White Noise
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm
Analysis of Circulant Embedding Methods for Sampling Stationary Random Fields
Density Dependent Singular Stochastic Differential Equations
Lessons from my PhD - Austin Z. Henley
Inverse Source Problems for the Stochastic Wave Equations: Far-Field Patterns
On the Functional Levy-Ito Stochastic Calculus
Functional Equations for the Stochastic Exponential
Partial Recovery and Weak Consistency in the Non-Uniform Hypergraph Stochastic Block Model
The Concentration of Invariant Measures for Stochastic Dynamical Systems with Locally Lipschitz Continuous Coefficients in R^d
Quasi-Monte Carlo methods for elliptic PDEswith random coefficients and applications
An ensemble deep learning framework for emotion recognition through wearable devices multi-modal physiological signals | Scientific Reports
Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables | Scientific Data
Autonomic Nervous System Activity During Positive Emotions: A Meta-Analytic Review  - Maciej Behnke, Sylvia D. Kreibig, Lukasz D. Kaczmarek, Mark Assink, James J. Gross, 2022
Scientists Create the Next Generation of Living Robots | Tufts Now
arduino fabric microcontroller - Google Search
OpenBCI_GUI/OpenBCI_GUI at master · OpenBCI/OpenBCI_GUI
Ferrite Cores | Electronic Components Distributor DigiKey
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What does the nose know? Olfactory function predicts social network size in human | Scientific Reports
You Can Literally Sniff Out Other People's Inner Feelings | Scientific American
Emotion Detection Using Physiological Signals | IEEE Conference Publication | IEEE Xplore
Visualizing each of the 188 known confirmation biases _ by Faisal Khan _ Open Source X _ Sep, 2021 _ Medium.pdf