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News
New Fuzzy Machine Learning Model Tackles Imbalanced Data With Striking
11+ hour, 47+ min ago (94+ words) Imbalanced data is one of the most stubborn problems in modern machine learning. Whenever a dataset contains far more examples of one class than another, standard classifiers tend to favor the majority class, quietly ignoring the rare but often critical…...
INTRODUCTION TO MACHINE LEARNING
5+ day, 17+ hour ago (1583+ words) Introduction In the course of the last few months, I got introduced to Machine Learning. I noted that the evolution of AI has led to the introduction and development of many concepts, such as, machine learning; an area of artificial…...
Diffusional magnetic resonance imaging anonymizing with variational autoencoder
1+ week, 5+ day ago (339+ words) EurekAlert! The proposed lesion-aware anonymization framework. Lesion and non-lesion regions are encoded separately; latent diffusion generates new non-lesion representations conditioned on class, lesion mask, and slice depth; the representations are fused and decoded into an anonymized brain MRI. Credit: HIGHER…...
Nicole Junkermann on What Synthetic Data Is Actually For
3+ week, 5+ day ago (268+ words) Most conversations about synthetic data start in the wrong place. They start with the question of whether it is as good as real data, which is …...
Applied Sciences, Vol. 16, Pages 8115: A U-Net-Based Hybrid Network with Large-Kernel Convolution and Spatially Reduced Self-Attention for Structural Plane Segmentation in Tunnel-Face Images
4+ week, 1+ day ago (458+ words) The structural planes exposed on tunnel faces reflect the integrity and geological conditions of surrounding rock, and their accurate segmentation is important for geological logging and surrounding rock assessment. However, these targets are typically slender, discontinuous, and low-contrast, and are…...
Machine Learning Explained: A Beginners Guide
1+ mon, 2+ day ago (264+ words) Today, and even more so in the future, everything revolves around computers, AI, and Machine Learning. But the real question is how do we actually understand it? In this article, we will break it down piece by piece, in the…...
The Human Side of Overfitting
1+ mon, 2+ day ago (33+ words) The Trader Who Could See Patterns Everywhere Can you build a profitable trading strategy from pure random noise? Most people would laugh at the question. One of my …...
Stop Being Intimidated by Machine Learning. Read This Instead.
1+ mon, 4+ day ago (1176+ words) A step-by-step breakdown of weights, biases, loss functions, and optimization without black-box libraries. If you’ve ever tried to …...
The Machine Learning Classification Handbook
1+ mon, 5+ day ago (90+ words) A Production-Grade Practitioner’s Guide to Classification Pipelines Data Taxonomy, Preprocessing & Engineering Pipelines Before an algorithm can extract …...
How Machine Learning Actually Works: It’s More Assembly Line Than Magic
1+ mon, 5+ day ago (525+ words) After hearing about machine learning for the first time, it’s easy to imagine that you simply feed some data into a …...