GitHub

AIFAD - Automated Induction of Functions over Algebraic Data Types

AIFAD stands for Automated Induction of Functions over Algebraic Data Types and is an application written in OCaml that improves decision tree learning by supporting significantly more complex kinds ...
C&EN

Generating New Coordination Compounds via Multireference Simulations, Genetic Algorithms, and Machine Learning: The Case of Co(II) and Dy(III) Molecular Magnets

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The design of coordination compounds with target properties often requires years of ...
Europe PMC

Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.

Parkinson's disease (PD) is a devastating neurological ailment affecting both mobility and cognitive function, posing considerable problems to the health of the elderly across the world. The absence ...
InfoQ

Spotting Image Differences in Visual Software Testing with AI

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this eMag, we try to establish agentic AI ...
PNAS

NeuronMotif: Deciphering cis-regulatory codes by layer-wise demixing of deep neural networks

Cis-regulatory sequences regulate the expression of nearby genes. Recently, remarkable advances in our ability to predict the function of cis-regulatory sequences have been achieved by using ...
IEEE

Development and Implementation of a Direct Evaluation Solution for Fault Tree Analyses Competing With Traditional Minimal Cut Sets Methods

Abstract: Fault tree analysis (FTA) is a well-established technique to analyze the safety risks of a system. Two specific prominent FTA methods, largely applied in the aerospace field, are the ...
Frontiers

How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence

Artificial intelligence has made tremendous advances since its inception about seventy years ago. Self-driving cars, programs beating experts at complex games, and smart robots capable of assisting ...
Hacker

Automatic Feature Selection in Python: An Essential Guide

Feature Selection in python is the process where you automatically or manually select the features in the dataset that contribute most to your prediction variable or output in which you are interested ...
The Lancet

Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three ...

aDivision of Clinical and Translational Research, Division of Critical Care, Department of Anesthesia, Washington University School of Medicine, Saint Louis, MO bDepartment of Medicine, University of ...
Scientific Research Publishing

An Improved Approach for Generating Test Cases during Model-Based Testing Using Tree Traversal Algorithm ()

1 Department of Information and Communication Engineering, Air Force Institute of Technology, Kaduna, Nigeria. 2 Department of Computer Science, Air Force Institute of Technology, Kaduna, Nigeria. 3 ...
acm.org

Automata Modulo Theories

Gap: Real implementation of finite automata use the structure of the alphabet, for example, character classes, to enable efficient data structures and algorithms. These aspects are missing in the way ...