Welcome to Gregory Mikuro's Research Hub
Explore my cross-disciplinary research journey. From tutorials to projects, discover tools, insights, and critical analysis across various fields.
Latest Research
My academic contributions to cross-disciplinary research
Advancements in Deep Learning for Computer Vision
This paper presents novel approaches to deep learning architectures for computer vision tasks. We introduce a modified convolutional neural network that achieves state-of-the-art p …
Gregory Mikuro
February 15, 2024
Natural Language Processing for Medical Text Analysis
This research introduces a specialized natural language processing framework for medical text analysis, capable of extracting clinically relevant information from unstructured medi …
Gregory Mikuro
November 30, 2023
Transformer-Based Models for Efficient Natural Language Processing
We propose a novel approach for making transformer-based language models more efficient without sacrificing performance. Our method involves a hybrid architecture that combines att …
Gregory Mikuro
November 10, 2023
Latest Reviews
Explore my latest research reviews and analysis

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.
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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.
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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.
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Connect With Me on GitHub
Explore my open-source projects, AI tools, and data science solutions. Let's build something amazing together!