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Navigating the Skies with Bayesian Deep Learning: A Technical Dive into Predicting Flight Trajectories Amid Uncertain Weather

Explore how Bayesian deep learning enhances flight trajectory prediction by combining CNNs and RNNs to extract spatial and temporal features from weather data while quantifying uncertainty.

Understanding Bayes-by-Backprop in Neural Networks

Discover how integrating variational inference with traditional backpropagation enables neural networks to quantify uncertainty by learning a full distribution over their weights.

Uncertainty Quantification in Medical AI: A Bayesian Deep Learning Approach

Leveraging Bayesian deep learning and Three-Way Decision theory to quantify uncertainty in medical AI, ensuring more reliable and interpretable diagnostics for applications like skin cancer detection and radiology.

Mastering Gaussian Naïve Bayes: Overcoming the Zero-Frequency Hurdle for Enhanced DDoS Detection

How to overcome the zero-frequency issue in Gaussian Naïve Bayes for enhanced DDoS detection by leveraging smart data imputation, meticulous feature selection, and effective normalization techniques to bolster cloud security.

Beating the Variability: How Adversarial Learning is Transforming ECG-Based Arrhythmia Detection

By leveraging adversarial learning with Beat-Score Maps (BSMs), this breakthrough approach eliminates patient-specific ECG variations, enabling more reliable and generalizable AI-powered arrhythmia detection across diverse patient datasets.

Selected Article

Here are a few articles that I think are not bad, hope you like too.

Navigating the Skies with Bayesian Deep Learning: A Technical Dive into Predicting Flight Trajectories Amid Uncertain Weather

2025/02/20

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Explore AI and ML Insights

Navigating the Skies with Bayesian Deep Learning: A Technical Dive into Predicting Flight Trajectories Amid Uncertain Weather

Understanding Bayes-by-Backprop in Neural Networks

Uncertainty Quantification in Medical AI: A Bayesian Deep Learning Approach

Mastering Gaussian Naïve Bayes: Overcoming the Zero-Frequency Hurdle for Enhanced DDoS Detection

Beating the Variability: How Adversarial Learning is Transforming ECG-Based Arrhythmia Detection

Selected Article

Navigating the Skies with Bayesian Deep Learning: A Technical Dive into Predicting Flight Trajectories Amid Uncertain Weather

Understanding Bayes-by-Backprop in Neural Networks

Uncertainty Quantification in Medical AI: A Bayesian Deep Learning Approach

Mastering Gaussian Naïve Bayes: Overcoming the Zero-Frequency Hurdle for Enhanced DDoS Detection

Beating the Variability: How Adversarial Learning is Transforming ECG-Based Arrhythmia Detection

Balancing Data Privacy and Utility in Trajectory Data: A Collaborative Adversarial Learning Approach

Leveraging Large Language Models for Performance Prediction in Neural Architecture Search

Cognitive Architectures in LLM Applications: How AI is Learning to Think

The Hardcore Mechanics of Large Language Models: Architecture, Training, and What’s Next

Can AI Improve Itself? The Rise of LLM-Guided Evolution

Robust Planning with Compound LLM Architectures: The LLM-Modulo Approach

Fighting the Future of Social Bots: How CALEB is Changing the Game

PriFU: Smarter Privacy for AI Without the Adversarial Hassle

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Gregory Mikuro - AI/ML Engineer

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