IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

So yeah, I vibe-coded a log colorizer—and I feel good about it

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
IEEE

Machine Learning Driven Islanding Detection Using Features Extracted from Contour Plot Images

Abstract: The excessive penetration of DG sources, in addition to islanding, is a substantial hinderance. Customers and their equipment might experience damage as a result of the islanding. The IEEE ...
GitHub

CSCI 4701: Deep Learning

def f(x): return x**2 In\u00a0[3]: Copied! x = 3.0\nfor h in [10, 1, 0.1, 0]:\n print(f\"If we shift input by {h}, output becomes {f(x+h)}\")\n x = 3.0 for h in [10 ...
Scientific Research Publishing

Bradley, A.P. (1997) The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms. Pattern Recognition, 30, 1145-1159.

ABSTRACT: Cognitive impairment is a frequent and debilitating outcome of stroke, profoundly affecting patient independence, recovery trajectories, and long-term quality of life. Despite its prevalence ...