Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we report an empirical study of predictive modeling of several patient outc...
This study examined the use of machine learning and domain specific enrichment on patient generated health data, in the form of free text meal logs, to classify meals on alignment with different nutritional goals. We used a dataset of over 3000 meal...
We present and evaluate a weakly-supervised methodology to quantify the spatio-temporal distribution of urban forests based on remotely sensed data with close-to-zero human interaction. Successfully training machine learning models for semantic segme...
Standardized data set for machine learning of protein structure (⭐ 909)
Deep learning models deployed on edge devices frequently encounter resource variability, which arises from fluctuating energy levels, timing constraints, or prioritization of other critical tasks within the system. State-of-the-art machine learning p...
Explainable Artificial Intelligence (XAI) aims to provide transparent insights into machine learning models, yet the reliability of many feature attribution methods remains a critical challenge. Prior research (Haufe et al., 2014; Wilming et al., 202...
Feature selector is a tool for dimensionality reduction of machine learning datasets (⭐ 2239)
Tags: machine-learning, dimensionality-reduction | Score: 1
In this era of data deluge, many signal processing and machine learning tasks are faced with high-dimensional datasets, including images, videos, as well as time series generated from social, commercial and brain network interactions. Their efficient...
Tags: tensorflow, machine-learning, neural-network, deep-learning, cross-entropy | Score: 467
My wife and I are looking for a convent RO system and are considering a countertop model like the Waterdrop CoreRO. We have well water and I am concerned about sodium in the water. This machine has ...
This paper critiques digital cloning in academic research, highlighting how it exemplifies AI solutionism. Digital clones, which replicate user data to simulate behavior, are often seen as scalable tools for behavioral insights. However, this framing...
The subject of this paper is about the kinematic analysis and the trajectory planning of the Orthoglide 5-axis. The Orthoglide 5-axis a five degrees of freedom parallel kinematic machine developed at IRCCyN and is made up of a hybrid architecture, na...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Points: 121 | Comments: 23 | Author: megalodon
aeon is a unified Python 3 library for all machine learning tasks involving time series. The package contains modules for time series forecasting, classification, extrinsic regression and clustering, as well as a variety of utilities, transformations...
Nov 10, 2023 · Mac Pro Additional Internal Hard drives Hello, I have a MacPro7,1 and I want to fit an additional internal hard drive. What are the recommendations for the internal drives on this machine? …
Tags: python, csv, parsing, machine-learning | Score: -1
Wikipedia is the largest online encyclopedia, used by algorithms and web users as a central hub of reliable information on the web. The quality and reliability of Wikipedia content is maintained by a community of volunteer editors. Machine learning a...
I'm currently running models on my desktop pc but I want a dedicated machine with a small footprint. Should I invest in an m4 mac mini now or wait for the m5? Or are there other solutions at a similar...